Andrei Tchernykh

(a.k.a. Andrey Chernykh, Андрей Черных )

http://usuario.cicese.mx/~chernykh/

 

Address C I C E S E Carretera Ensenada-Tijuana No. 3918, Zona Playitas Código Postal 22860, Apdo. Postal 360 Ensenada, B.C. México Phone +52 (646) 175-0595 ext. 23426 FAX   +52 (646) 175-0593, 175-0549 E-mail: chernykh@cicese.mx For international correspondence: C I C E S E P.O Box 430222, San Diego, CA, 92143-0222, USA

Biographical Sketch   I am holding a full professor position in computer science at CICESE Research Center (Centro de Investigación Científica y de Educación Superior de Ensenada), Ensenada, Baja California, Mexico and Adjunct professor at ISP RAS - Institute for System Programming of the Russian Academy of Sciences, Russia. I am teaching in CICESE's postgraduate programs in computer science, a position I have held since 1995. I am chairing “Parallel Computing Laboratory” at CICESE, Mexico and “International Laboratory of Problem-Oriented Cloud Computing” at South Ural State University, Russia. I graduated from the Sevastopol Technical University in 1975. From 1975 to 1990 I worked at the Lebedev Institute of Precision Mechanics and Computer Engineering (IPMCE, ИТМиВТ) of the Russian Academy of Sciences, leading center for the supercomputer design. I gained industrial experience as supercomputer design team leader in Advance Technical Products Corp, and Supercomputer Design Department of Electro-Mechanical Enterprise. I received my Ph.D. degree in Computer Science from the IPMCE in 1986. I am a founding member of the Mexican Supercomputer Society (RedMexSu), a Regional President of Global Association for Academic Supervision (GAAS)  Latin America, and member of the Mexican National Researchers System SNI level II. I have led a number of research projects and grants in different countries funded by CONACYT, NSF, ANII, Ochoa, INRIA, FNR, UC MEXUS, DAAD, LAFMI, AMEXCID, ANII, etc. I have published over 200 papers in some of the most distinguished scientific journals and international conferences and served as a TPC member, and chair of more than 250 professional peer-reviewed conferences. I have graduated 36 Ph.D. and M.S. students, and served as the External Examiner for Ph.D. programs in India, Malaysia, Germany, Luxembourg. México, and France. I am awarded Global Scholars Fellow at Tsinghua University (China), German Academic Exchange Service fellowship at University of Göttingen, Dortmund University, Technische Universität Clausthal (Germany), and Severo Ochoa fellowship at Barcelona Supercomputing Center (Spain). I was an Invited Visiting Researcher at Centre de recherché INRIA Lille - Nord Europe (France), Université Grenoble Alpes (France), Luxembourg University (Luxembourg), Institut National Polytechnique de Grenoble (France), University of California–Irvine (USA), University of Southern California (USA), Université Joseph Fourier (France), UdelaR (Uruguay), etc. I am an editorial board member of several journals and served as a guest editor for special issues including Mobile Networks & Applications (MONET) Springer  IF 2.497 Q1, International Journal of Approximate Reasoning, Elsevier. IF 2.845. Q2, etc. Research area: I am engaged in extensive research on grid and cloud research addressing multi-objective resource optimization, both, theoretical and experimental, security, uncertainty, scheduling, heuristics and meta-heuristics, adaptive resource allocation, energy-aware algorithms and Internet of Things (http://usuario.cicese.mx/~chernykh/)

For citation details:

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Web of Science ResearcherID : K-2416-2013, Scopus Author ID: 6506067984, ORCID ID 0000-0001-5029-5212

Education:

 

 

M.Sc	Computer Science (with honor), Sevastopol Instrument Making Institute (Sevastopol Technical University), 1975. Thesis: "Structures of Homogeneous Computer Systems for Fault-tolerant Computations"  Supervisor: Prof. V.V.Kiryukhin
Ph.D	Computer Science, Lebedev Institute of Precision Mechanics and Computer Engineering of the Russian Academy of Sciences, Moscow, 1986. Thesis: "Parallel Computations on Associative Networks and Automatic Program Parallelization"  Supervisor: Prof. A.M. Stepanov.

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Academic positions:

1995-pres.	Laboratory Head, Professor	CICESE Research Center, Computer Science Department, Ensenada, BC, Mexico
2018-	Adjunct professor	ISP RAS - Institute for System Programming of the Russian Academy of Sciences, Russia
2017-	Laboratory Head, Adjunct professor	South Ural State University, International Laboratory of Problem-Oriented Cloud Computing Environment
2016-2017	Visiting Researcher	Tsinghua University. Beijing, China (December 2016 - February 2017)
2015	Visiting Researcher	Moscow Institute of Physics and Technology, Moscow/Dolgoprudny, Russia (mid November-December, 2015)
2015	Visiting Researcher	Universidad de la República, Instituto de Computación, Montevideo, Uruguay (mid October mid November, 2015)
2015	Visiting Researcher	Université du Luxembourg, Computer Science and Communications Research Unit (August-October, 2015)
2015	Visiting Professor	University of Göttingen, GWDG, Göttingen, Germany (February, June-July, 2015)
2015	Visiting Professor	Barcelona Supercomputing Center,  Computer Science Department, Extreme Computing group (March-May, 2015).
2015	Visiting Researcher	Centre de recherche INRIA Lille - Nord Europe. DOLPHIN team (January, May, 2015)
2014	Visiting Professor	Université Grenoble Alpes, INRIA Research Centre, Grenoble, France (November 2014)
2014	Visiting Researcher	Université du Luxembourg, Computer Science and Communications Research Unit (October, December, 2014)
2014	Visiting Professor	Laboratoire d'Informatique de Grenoble LG, MOAIS, Grenoble, France (April 2014)
2012	Visiting Professor	Université du Luxembourg, Computer Science and Communications Research Unit (October-November, 2012)
2009	Visiting professor	University of Dortmund, IT and Media Center, Dortmund, Germany (July-August, 2009)
2007	Visiting Professor	University of Dortmund, IRF-IT, Dortmund, Germany (January-June, 2007)
2003	Professor	Technische Universität Clausthal, Institut fuer Informatik, Germany (May-December, 2003)
2003	Visiting Professor	INPG-Institut National Polytechnique de Grenoble, France (December, 2002-May,2003)
2002	Visiting Professor	University of California–Irvine, Department of Information and Computer Science, Irvine, CA, USA (July-August, 2002)
2001	Visiting Professor	University of Southern California, School of Engineering, Electrical Engineering Systems, Los Angeles, USA (July-August,2001)
2001	Visiting Professor	Université Joseph Fourier, IMAG, Laboratoire Informatique et Distribution, Grenoble, France (February-March,, 2001)
2000	Visiting Professor	INPG-Institut National Polytechnique de Grenoble, Grenoble, France (February-April, 2000)
1994-1995	Senior researcher	IHPCS - Institute for High Performance Computer Systems of the Russian Academy of Sciences, Moscow,
1990-1994	Senior researcher	SCC - Scientific Computer Center of the Russian Academy of Sciences, Moscow
1993-1995	Associate professor	Moscow State Avian Technologic University
1986-1990	Leading designer	IPMCE - Lebedev Institute of Precise Mechanics and Computer Engineering  of the Russian Academy of Sciences, Moscow
1979-1982	Engineer-programmer	IPMCE - Lebedev Institute of Precise Mechanics and Computer Engineering  of the Russian Academy of Sciences, Moscow

 

Industrial/Technical Experience.

1982-1986	Group leader. Advance Technical Products Corp., Odessa, Ukraine
1979-1980	Group leader  Electro-Mechanical Factory, Supercomputer Design Department, Zagorsk
1976-1977	Group leader  Institute of Long Distance Radiolocation, Computer Department, Moscow
1975-1979	Engineer-programmer. Advance Technical Products Corp., Odessa, Ukraine

Research group (current and former)

Postdoc: · Dr. Adan Hirales Carbajal, Mexico (May-December 2013) · Dr. Godofredo Ramón Garay Álvarez, Cuba (February-July, 2014) · Dr. Sergio Nesmachnow, Uruguay (March 2014) Research assistants · M.S. Manuel Combarro Simon · M.S. David Peña Morales · M.S. Vanessa Miranda López · M.S. Carlos Barba Jimenez · M.S. Jorge Mario Cortés-Mendoza · M.S. Fermin Alberto Armenta Cano

Thesis supervision (current and former):

Ph.D. students: · Luis Bernardo Pulido Gaytan “Security-Preserving of Machine Learning with Improved Fully Homomorphic Encryption Operations” (2020-…) · Vanessa Miranda López “Security and resilience of a storage system in a Multi-Cloud environment ” (2017-..) · José Luis González García “Graph Partitioning for the Finite Element Method: Reducing Communication Volume with the Directed Sorted Heavy Edge Matching”       Georg-August-Universität Göttingen (with Ramin Yahyapour and Stephan Waack) 02.05.2019 · Jorge Mario Cortés-Mendoza “Dynamic Self Adaptive Distributed VoIP Load Balancing in Clouds with Uncertainty” (2014– 2018) · Fermin Alberto Armenta Cano “Heterogeneous Jobs Concentration Power Model and Consolidation Strategies in Cloud Computing ” (2014– may 2018) · Marco Antonio Peña Luna “Analysis of deterministic scheduling strategies for the generation of academic timetables” CETYS, México, 2013 (with Dr. Adan Hirales) · Ariel A. Quezada Pina “On-line scheduling in Grids” CICESE, México, 2012 · Adan Hirales Carbajal  “On-line job flow scheduling in Grids” CICESE, México, 2012 · Juan Manuel Ramírez Alcaraz“Analysis of two levels Job-Scheduling Strategies for a Computational Grid” CICESE, Mexico, 2011 · Victor Hugo Yaurima Basaldua “Two stages Flexible Flow Shop Scheduling Problem” UABC, Mexicali, Mexico (with Dra. Larisa Burtseva) 2008 · Alfredo Cristóbal Salas. "Non-Strict Parallel Processing for Distributed Computer”, CICESE, Mexico, 2002 · Antonio Rodríguez Díaz. "Dynamic Scheduling of Unit Execution Time Tasks”, CICESE, Mexico, 2001 M.S. students: · Israel Rescalvo Anastacio “Adaptive Reliability and performance of secure multi-cloud storage with neural networks” (2020-2021) · Adrián Facio Medina “Instance Provisioning Optimization for  Micro-Service Based Digital Twins” (2019-2020) · Luis Bernardo Pulido Gaytan “Multi-Objective Optimization of Vehicle Routing with Environmental Penalty in Smart Cities” (October 8, 2019) · Luis Enrique Garcia Hernandez  “Multi-objective optimization of a multi-cloud data storage system with a secret sharing scheme based on RRNS” (October 11, 2019) · Daniela Moctezuma García “Implementation and analysis of multi-objective algorithms for optimization of public transport networks” (with  Juan Manuel Ramírez Alcaraz, Colima) (2017-2018) · Esteban Carlos López Falcón “Adaptive Secure Storage System in a Multi-Cloud environment” (2017-2018) · Rewer Miguel Canosa Reyes “Bi-objective resource optimization strategies in conteinerazed clouds” (2017-2018) · Luis Angel Galaviz Alejos “Heterogeneous Consolidation with Concentration Policy for Energy-Aware Scheduling of Jobs with Resource Contention” (2016–2017) · David Peña Morales “Multi-objective Public Transport optimization“ (2016-2017) · Manuel Combarro Simon “Dynamic Adaptive Energy-Aware Scheduling for Cloud Computing Applications with Traffic Load Balancing ” (2016-2017) · Luz María Lozano Guzmán “Energy Efficient Scheduling with Quality of Service in Clouds” (September 11, 2013) · Aritz Barrondo Corral “Eco-friendly Peer-to-Peer Grids Using Knowledge-Free Scheduling” (September 20, 2012) · Alonso Mitza Aragón Ayala. "Green Grid Computing” (September 07, 2012) · Anuar Lezama Barquet. “Grid computing with SLA constraints” (September 07, 2012) · Vanessa Miranda López  “On-line Scheduling in 2-level Grids  with Min_Completion_Time job Allocation Strategy. · Jorge Mario Cortés-Mendoza “Parallel Job Multi-objective Scheduling  in Grids with GEO (Generalized Extremal Optimization) Metaheuristic. · Ricardo Garibay Martínez “Adaptive Resource Management in Distributed Dynamic Real-Time Systems” · Yair Castro García “Parallel Job Multi-objective Scheduling  in Grids with Application of Evolutionary Algorithms” · José Luis González García “On-line Scheduling in Hierarchical Grids  with Admissible Allocation Strategies” · Ariel A. Quezada Pina, Parallel Image Processing with Morphologic Filters, CICESE, Mexico, August 2007 (with Dr. Vitali Kober) · Elizabeth Luhrs Olmos “Genetic Algorithms and parallel computing for multiple sequence alignment” CICESE (with Dr. Carlos Brizuela) · Yolanda Avila Velasco “Simulation of Adaptive Strategy for Dynamic Scheduling”, 2003  · Blanca del Carmen Román Nava “Comparison of criteria and parallel algorithms applied for Multiple DNA sequence comparison,” 2002 · Daniel Jesús Valencia Sánchez, Parallel Rang Processing: Principles, Implementation and Application, 2002 (with Vitali Kober) · Adan Hirales Carbajal, Distributed System Performance Evaluation based on Geometric Model of Execution, 2000 · Romualdo Zayas Lagunas, Implementation and study of "Rate of Change" Algorithm on a cluster of PC's, 2000 · J. Reyes Ramirez Juarez, "Incomplete information processing as a tool for programs optimization and parallelization", 2000 · Armando Ayala C., "Parallel Computing on a Distributed Shared Memory Multiprocessor System", 1999 · Edelmira Rodríguez, “Estudio experimental de la heuristica MSF para calendarizacion dinamica de tareas en arboles y bosques". 1999 · Alfredo Cristóbal Salas, "Optical Pattern Recognition of Non-compact Musical Objects ", 1996 External M.S. students: · Francisco Villalobos Rodríguez “Bi-objective optimization of a production process with saving electricity”, UES—Universidad Estatal de Sonora: San Luis Rio Colorado, Sonora, Mexico (with Dr. Victor Yaurima) , August 2016 · Marco Antonio Torreblanca Sánchez. UABC, Mexicali, Mexico “The Scanning Speed Optimization and Selecting Combined Variable Steps by the Use of Genetic Algorithms” (with Dr. Oleg Sergiyenko), July 2016 · Feng Liu "Parallel Multiple DNA Sequence Alignment, Technische Universität Clausthal Institut für Informatik, Deutschland, 2005 External B.S. students: · Ricardo Garibay Martínez, - Technical Institute of Morelia, México, 2006 · Roberto Sanchez Sanchez  - Technical Institute of Colima (collaboration with Dr. Verduzco Jesus Alberto) · Luis Manuel Galaviz Flores - Technical Institute of Colima (collaboration with Dr. Verduzco Jesus Alberto) · Adan Hirales Carbajal - UABC, Ensenada. “Implementacion de una solucion al problema de N-cuerpos utilizando el software PVM y MPCH y evalucion de cual es el mas apropriado segun el rendimiento en cuando al tiempo de respuesta al usuario”, 1999 International doctoral committee member (Jury): Uruguay Universidad de la República de Uruguay, Montevideo, Uruguay. Jonathan Muraña “Empirical characterization and modeling of power consumption and energy aware scheduling in data centers Tesis de Maestría en Informática”  October 24, 2019 Mexico Cinvestav - Center for Research and Advanced Studies of the National Polytechnic Institute (Tamaulipas Unit, Ciudad Victoria), Engineering and Computational Technologies. Dante Domizzi Sánchez Gallegos "New Techniques to create and manage agnostic workflows for processing digital products" August 2019- Colombia Systems and Computing Engineering Department, Faculty of Engineering, University of the Andes. Carlos Eduardo Gómez Montoya “Confiabilidad en Sistemas Desktop Cloud” July 2, 2019 Malasia Faculty of Computer Science and InformationTechnology, University of Malaya. Abubakar Zakari. “Effective Software Fault Location Based on Complex Network Theory”  2019 India Faculty of Information and Communication Engineering. Anna University, Chennai. India. Prasanna Venkatesh K J “Some Studies on Secure and Reliable  Communication in Cognitive Radio Network” 2018 India Bharathidasan University, Tiruchirappalli, Tamil Nadu. Annal Ezhil Selvi S “Systematic Approaches for Providing an Efficient Data Storage on Cloud Computing Environment”, 2018 Malasia Faculty of Computer Science and InformationTechnology, University of Malaya. Ehab Nabiel Mohammad “Completion Time Driven  Hyper-Heuristic Approach for  Cost Optimisation  of Scientific Workflow Scheduling in Cloud Environment”, January 10, 2018 Malasia Faculty of Computer Science and InformationTechnology, University of Malaya. Bassam Atieh M. Rajabi “Coevolution Framework to Support Object-oriented Model Changes using Coloured Petri Net Patterns”, September 27, 2017 Uruguay Universidad de la República de Uruguay, Montevideo, Uruguay, Santiago Iturriaga. “Energy-aware scheduling in distributed computing systems” September 21, 2017 Germany TU Dortmund University, Dortmund. Stephan Schlagkamp “User-Aware Performance Evaluation and Optimization of Parallel Job Schedulers”, July 19, 2017 Luxembourg Computer Science and Communications Research Unit. University of Luxembourg.  Ana-Maria Simionovici “Load Prediction and Balancing for Cloud-Based Voice Over IP Solutions” October 25 , 2016 Germany The Institute of Computer Science, Georg-August-Universitat Gottingen, Ali Imran Jehangiri “Distributed Anomaly Detection and Prevention for Virtual Platforms”, July  17th, 2015 Luxembourg The faculty of Science, Technology and Communication. University of Luxembourg. Mateusz Guzek. “Holistic, Autonomic, and Energy-Aware Resource Allocation in Cloud Computing” December 4th, 2014 Luxembourg The faculty of Science, Technology and Communication. University of Luxembourg. Apostolos Stathakis. “Satellite Payload Reconfiguration Optimization,” October 21, 2014 México Monterrey Institute of Technology and Higher Education: Instituto Tecnologico y de Estudios Superiores de Monterrey. School of Engineering. Division of Mechatronics and Information Technologies. Carlos Maria Barba Jimenez “Model and Provisions for a Video On Demand Service that Operates Entirely on Multiple Third Party Cloud Storage Services” Nov. 2012-May 2016 México División de Estudios de Posgrado de la Facultad de Ingeniería Eléctrica en la Universidad Michoacana de San Nicolás de Hidalgo. México, 2013. (Violeta Medina Ríos - Alta Disponibilidad en Maquinas Virtuales con un Esquema de Replicación de Servicios TCP/IP ) France Laboratoire d'Informatique de Grenoble LIG ENSIMAG, Grenoble Institute of Technology INPG, France 2003 (Emmanuel Romagnoli - Exploitation efficace de grappes dynamiques de PC indifférenciés pour le calcul paralléle).

Journal papers   Copyright Notice. The documents below are provided as a means of timely dissemination of information and are intended for personal use only. All other uses of the materials, such as reposting or reprinting, require the explicit permission of the copyright holder. Copyrights are maintained by the publishers, e.g. Springer-Verlag or IEEE Press, etc. Work in progress · Rewer M. Canosa-Reyes, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Raúl Rivera-Rodriguez, Jose E. Lozano-Rizk, Eduardo R. Concepción-Morales, Harold Enrique Castro Barrera, Carlos Jaime Barrios-Hernandez, Favio Medrano-Jaimes, Arutyun Avetisyan, Mikhail Babenko. Dynamic performance– energy tradeoff of contention-aware resource allocation in containerized clouds . IEEE Access, 2021. The Multidisciplinary Open Access Journal. IF 4.640 Q1 (Scopus: Q1). (under revision)  · Dante; Sánchez-Gallegos, José Luis González-Compeán, Jesus Carretero, Heidy Marin,  Andrei Tchernykh, Raffaele Montella. PuzzleMesh: A puzzle model to build mesh of agnostic services for edge-fog-cloud. IEEE Transactions on Services Computing. IF 5.823 Q1 (Scopus: Q1)  (under revision)  · Bruno Garate, Santiago Díaz, Santiago Iturriaga, Sergio Nesmachnow, Vladimir Shepelev, Andrei Tchernykh. Autonomous swarm of low-cost commercial unmanned aerial vehicles for surveillance Frontiers in Robotics and AI, Multi-Robot Systems. 2021 (Scopus Q2) (under revision) · Mikhail Babenko, Andrei Tchernykh, Viktor Kuchukov, Vanessa Miranda-López, Raul Rivera-Rodriguez, Arutyun Avetisyan, Gleb Radchenko, Alexander Yu. Drozdov. En-AR-PRNS: Entropy Polynomial Error Correction Codes with Improved Reliability and Redundancy for Secure Multi-Cloud Storage Optimization. · Fermín Armenta-Cano, Andrei Tchernykh, Gleb Radchenko, Alexander Yu. Drozdov, Oleg Sergiyenko, Ramin Yahyapour, Luis-Angel Galaviz-Alejos, Arutyun Avetisyan. Power Aware Consolidationin Cloud Computing with Heterogeneous Job Concentration Model · Godofredo R. Garay, Andrei Tchernykh, Julio Ortega, Antonio F. Díaz, Alexander Yu. Drozdov, Sergey N. Garichev. Calibration of Compositional Performance Analysis Models for Detecting Network I/O bottlenecks Accepted 2021 · Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge Mario Cortés-Mendoza, Mikhail Babenko, Gleb Radchenko, Arutyun Avetisyan, Alexander Yu. Drozdov. Privacy-Preserving Neural Networks with Homomorphic Encryption: Challenges and Opportunities. Special Issue on Advances in Privacy-Preserving Computing. Peer-to-Peer Networking and Applications. Springer, 2020. IF 2.910. Q2 Published 2021 1. Nikolay Kucherov, E Kuchukova, Andrei Tchernykh, Viktor Kuchukov, Mikhail Babenko. Towards Optimizing Cloud Computing Using Residue Number System. Journal of Physics: Conference Series, Volume 1715 (1), 012052 DOI 10.1088/1742-6596/1715/1/012052 2. Nesmachnow, Sergio, Castro, Harold, Tchernykh, Andrei (Eds.). High Performance Computing, Communications in Computer and Information Science, vol. 1327, pp. 220. 2021, Springer. ISBN: 978-3-030-68034-3, ISSN: 1865-0929, DOI: 10.1007/978-3-030-68035-0 2020 1. Mikhail Babenko, Maxim Deryabin, Stanislaw Piestrak, Piotr Patronikm, Nikolay Chervyakov, Andrei Tchernykh, Arutyun Avetisyan. RNS Number Comparator Based on a Modified Diagonal Function. Electronics 2020, 9(11), 1784 , MDPI, DOI: 10.3390/electronics9111784 , https://www.mdpi.com/2079-9292/9/11/1784, Open Access Journal, IF 2.220 Q1, (Scopus: Q1) 2. Vanessa Miranda-López, Andrei Tchernykh, Mikhail Babenko, Arutyun Avetisyan, Victor Toporkov, Alexander Yu. Drozdov. 2Lbp-RRNS: Two-Levels RRNS with Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage. IEEE Access pp. 1-16, 2020. The Multidisciplinary Open Access Journal. IF 4.640 Q1 (Scopus: Q1). DOI: 10.1109/ACCESS.2020.3032655 3. Andrei Tchernykh, Mikhail Babenko, Nikolay Chervyakov, Vanessa Miranda-López, Arutyun Avetisyan, Alexander Yu. Drozdov, Raul Rivera-Rodriguez, Gleb Radchenko, Zhihui Du. Scalable Data Storage Design for Non-Stationary IoT Environment with Adaptive Security and Reliability. IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10171-10188, Oct. 2020 DOI: 10.1109/JIOT.2020.2981276 https://ieeexplore.ieee.org/document/9037363 IF: 11.75, Q1 (Scopus: Q1, top 1) 4. Juan Chavat, Sergio Nesmachnow, Andrei Tchernykh, Vladimir Shepelev. Active safety system for urban environments with detecting harmful pedestrian movement patterns using computational intelligence. Special Issue, CITIES: Energetic Efficiency, Sustainability; Infrastructures, Energy and the Environment; Mobility and IoT; Governance and Citizenship, Applied Sciences, 10 (24), 9021. MDPI 2020 DOI: 10.3390/app10249021, https://www.mdpi.com/2076-3417/10/24/9021, IF 2.474 Q2 (Scopus Q2) 5. Xinheng Wang, Muddesar Iqbal, Honghao Gao, Kaizhu Huang, Andrei Tchernykh. Editorial: Collaborative Computing for Data-Driven Systems. Mobile Networks and Applications. 25(4), pp.1348-1350, 2020, Springer. https://doi.org/10.1007/s11036-019-01452-y IF 2.602 Q2, (Scopus: Q1, top 25) 6. Evgeny E. Ivashko, Anna A. Ivashko, Georgy R. Safonov, Andrey Tchernykh. Cost-Efficient Strategy in Clouds with Spot Price Uncertainty. Automation and Remote Control. 81, 731–745 (2020). Springer, DOI: 10.1134/S000511792004013X IF 0.9. Q2 (Scopus: Q3) 7. Andrei Tchernykh, Igor Bychkov, Alexander Feoktistov, Sergey Gorsky, Ivan Sidorov, Roman Kostromin, Alexei Edelev, Valery Zorkalzev, Arutyun Avetisyan. Mitigating Uncertainty in Developing and Applying Scientific Applications in an Integrated Computing Environment. Programming and Computer Software, vol. 46, no. 7, pp. 483–502, 2020. DOI: 10.1134/S036176882008023X, https://link.springer.com/article/10.1134/S036176882008023X, Springer IF 0.637, Q4 (Scopus: Q3) 8. Jonathan Muraña, Sergio Nesmachnow, Santiago Iturriaga, Sebastián Montes de Oca, Gonzalo Belcredi, Pablo Monzón, Vladimir Shepelev, Andrei Tchernykh. Negotiation Approach for the Participation of Datacenters and Supercomputing Facilities in Smart Electricity Markets. Programming and Computer Software, v. 46, 7, pp. 636-651, 2020. DOI: 10.1134/S0361768820080150, https://link.springer.com/article/10.1134/S0361768820080150, Springer IF 0.637, Q4 (Scopus: Q3) 9. Ameer B. A. Alaasam, Gleb Radchenko, Andrey Tchernykh, José Luis González-Compeán. Analytic Study of Containerizing Stateful Stream Processing as Microservice to Support Digital Twins in Fog Computing. Programming and Computer Software, vol. 46, no. 7, pp. 511-525, 2020, © Springer DOI: 10.1134/S0361768820080083, https://link.springer.com/article/10.1134/S0361768820080083, IF 0.637, Q4 (Scopus: Q3) 10. Kirsanova A.A., Radchenko G.I., Tchernykh A.N. Overview of Fog Computing Organization Technologies. Bulletin of the South Ural State University. Series: Computational Mathematics and Software Engineering. 2020. Vol. 9, no. 3. p. 35–63. (in Russian) DOI: 10.14529/cmse200303. 2019 1. Nikolay Chervyakov, Mikhail Babenko, Andrei Tchernykh, Nikolay Kucherov, Vanessa Miranda-López, Jorge M. Cortés-Mendoza. AR-RRNS: Configurable Reliable Distributed Data Storage Systems for Internet of Things to Ensure Security. Future Generation Computer Systems. Volume 92, Pages 1080-1092. Elsevier, March 2019, https://doi.org/10.1016/j.future.2017.09.061 (PDF) http://www.sciencedirect.com/science/article/pii/S0167739X17306015 IF:  7.010, Q1 (Scopus: Q1, top 4)  2.  Allel Hadjali, Haithem Mezni, Sabeur Aridhi, Andrei Tchernykh. Editorial. Inter. Journal of Approximate Reasoning. Special Issue on Uncertainty in Cloud Computing: Concepts, Challenges and Current Solutions. Vol. 111, Pages 53-55, Elsevier. 2019 https://doi.org/10.1016/j.ijar.2019.05.008 . https://www.sciencedirect.com/science/article/pii/S0888613X19302890, (PDF), IF 2.9. Q2 (Scopus: Q1, top 11) 3. Andrei Tchernykh, Uwe Schwiegelsohn, El-ghazali Talbi, Mikhail Babenko. Towards Understanding Uncertainty in Cloud Computing with risks of Confidentiality, Integrity, and Availability. Journal of Computational Science. vol. 36, p. 100581, pp. 1-9. Sep. 2019. Elsevier, http://dx.doi.org/10.1016/j.jocs.2016.11.011, (www.sciencedirect.com/science/article/pii/S1877750316303878 (PDF) IF: 3.55, Q1  (Scopus: Q1, top 11) 4. Godofredo R. Garay, Andrei Tchernykh, Alexander Yu. Drozdov, Sergey N. Garichev, Sergio Nesmachnow, Moisés Torres-Martinez. Visualization of VHDL-based Simulations as a Pedagogical Tool for Supporting Computer Science Education. Journal of Computational Science. Vol. 36, 100652, pp.1-8 . Elsevier, 2019, ISSN 1877-7503,  DOI: 10.1016/j.jocs.2017.04.004 (PDF) http://www.sciencedirect.com/science/article/pii/S187775031730385, IF: 3.55, Q1  (Scopus: Q1, top 11)) 5. Jonathan Muraña, Sergio Nesmachnow, Fermin Armenta-Cano, Andrei Tchernykh. Characterization, modeling and scheduling of power consumption of scientific computing applications in multicores. Cluster Computing.  Volume 22, Issue 3, pp. 839–859, Springer, Sept. 2019, https://link.springer.com/article/10.1007/s10586-018-2882-8, DOI: 10.1007/s10586-018-2882-8, IF 3.458, Q2 (Scopus: Q2) 6. Andrei Tchernykh, Jorge M. Cortés-Mendoza, Alexander Feoktistov, Igor Bychkov, Loic Didelot, Pascal Bouvry, Gleb Radchenko, Kirill Borodulin. Configurable Cost-Quality Optimization of Cloud-based VoIP. Journal of Parallel and Distributed Computing, Vol. 133, Pages 319-336, Elsevier, 2019. ISSN 0743-7315, DOI: https://doi.org/10.1016/j.jpdc.2018.07.001 , IF: 2.250, Q2 (Scopus: Q1, top 19) (PDF) 7. David Peña, Andrei Tchernykh, Sergio Nesmachnow, Renzo Massobrio, Alexander Feoktistov, Igor Bychkov, Gleb Radchenko, Alexander Yu. Drozdov, Sergey N. Garichev. Operating Cost and Quality of Service Optimization for Multi-Vehicle-Type Timetabling for Urban Bus Systems. Journal of Parallel and Distributed Computing, Volume 133, Pages 272-285 , Elsevier, 2019, ISSN 0743-7315, DOI: 10.1016/j.jpdc.2018.01.009,  https://doi.org/10.1016/j.jpdc.2018.01.009, IF: 2.250, Q2 (Scopus: Q1, top 19) 8. Andrei Tchernykh, Vanessa Miranda-López, Mikhail Babenko, Fermin Armenta-Cano, Gleb Radchenko, Alexander Yu. Drozdov, Arutyun Avetisyan. Performance Evaluation of Secret Sharing Schemes with Data Recovery in Secured and Reliable Heterogeneous Multi-Cloud Storage. Cluster Computing. Volume 22, Issue 4, pp 1173–1185, Springer, Dec. 2019, https://doi.org/10.1007/s10586-018-02896-9, IF 3.458, Q2 (Scopus: Q2) 9. Enzo Fabbiani, Sergio Nesmachnow, Jamal Toutouh, Andrei Tchernykh, Arutyun Avetisyan, Gleb Radchenko. Analysis of mobility patterns for public transportation and bus stops relocation. Programming and Computer Software, Vol. 44, No. 6, pp. 508-525, Springer, 2019 DOI: 10.1134/S0361768819010031, IF 0.637, Q4 (Scopus: Q3) 10. Mikhail Babenko, Andrei Tchernykh, Nikolay Chervyakov, Viktor Kuchukov, Vanessa Miranda-López, Raul Rivera-Rodriguez, Zhihui Du, El-Ghazali Talbi. Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. Programming and Computer Software, Vol. 45, No. 8, pp. 532-543. 2019 © Springer. (PDF) DOI:10.1134/S0361768819080115 IF 0.637, Q4   (Scopus: Q3) 11. Santiago Iturriaga, Sergio Nesmachnow, Gerardo Goñi, Bernabé Dorronsoro, Andrei Tchernykh. Evolutionary Algorithms for Optimizing Cost and QoS on Cloud-based Content Distribution Networks. Programming and Computer Software, Vol. 45, No. 8, pp. 544-556. 2019 © Springer. DOI:10.1134/S0361768819080127. IF 0.637, Q4 (Scopus: Q3) 12. Gleb Radchenko, Ameer B. A. Alaasam, Andrei Tchernykh. Comparative analysis of virtualization methods in Big Data processing. "Supercomputing Frontiers and Innovations",  Vol 6, No 1, pp. 48-79, 2019 ISSN: 2313-8734 DOI: 10.14529/jsfi190107 (PDF) IF 0.840, Q4 (Scopus: Q2).   13. Tchernykh A., Hadjali A. Editorial: Special Issue on «Advanced Computing: from Theory to Practice». Proceedings of ISP RAS - Proceedings of the Institute for System Programming of the RAS . 2019;31(2):7-13. https://doi.org/10.15514/ISPRAS-2019-31(2)-0 14. Iturriaga Fabra S., Nesmachnow Cánovas S., Goñi Bofrisco G., Dorronsoro Díaz B., Tchernykh A. Design and optimization of Content Distribution Networks. Proceedings of ISP RAS - Proceedings of the Institute for System Programming of the RAS. 2019;31(2):15-20. https://doi.org/10.15514/ISPRAS-2019-31(2)-1 15. Babenko M.G., Tchernykh A., Chervyakov N.I., Kuchukov V.A., Miranda-Lopes V., Rivera Rodriguez R., Du Z. Efficient Number Comparison in the Residue Number System based on Positional Characteristics. Proceedings of ISP RAS - Proceedings of the Institute for System Programming of the RAS. 2019;31(2):187-201. (in Rus.) https://doi.org/10.15514/ISPRAS-2019-31(2)-13 16. Evgeny E. Ivashko, Anna A. Ivashko, Georgy R. Safonov, Andrey Tchernykh. Cost-effective strategy in clouds with spot price uncertainty.  Е.Е. Ивашко, А.А. Ивашко, Г.Р. Сафонов, А. Черных. Эффективная по цене стратегия аренды облачных ресурсов при неопределенности цены. Математическая Теория Игр и ее Приложения. Volume 11, 3, pp. 5–30 2019 (PDF) 17. Sergio Nesmachnow, Renzo Massobrio, Efraín Arreche, Christine Mumford, Ana Carolina Olivera, Pablo Javier Vidal, Andrei Tchernykh. Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm. International Journal of Transportation Science and Technology. vol. 8, no. 1, pp. 53–67, Mar. 2019. Elsevier, 2018 https://doi.org/10.1016/j.ijtst.2018.10.002 2018 1. Natalia Nikitina, Evgeny Ivashko, Andrei Tchernykh. Congestion Game Scheduling for Virtual Drug Screening Optimization. Journal of Computer Aided Molecular Design (JCAM), Volume 32, Issue 2, pp 363–374, Springer. 2018. http://rdcu.be/CVPk, https://link.springer.com/article/10.1007/s10822-017-0093-7. DOI: https://doi.org/10.1007/s10822-017-0093-7 IF 3.220, Q1 (Scopus: Q1, top 25) 2. Andrei Tchernykh, Mikhail Babenko, Nikolay Chervyakov, Vanessa Miranda-López, Viktor Kuchukov, Jorge M. Cortés-Mendoza, Maxim Deryabin, Nikolay Kucherov, Gleb Radchenko, Arutyun Avetisyan. AC-RRNS: Anti-Collusion Secured Data Sharing Scheme for Cloud Storage. International Journal of Approximate Reasoning. Special Issue on Uncertainty in Cloud Computing: Concepts, Challenges and Current Solutions. Vol. 102, Pages 60-73, Elsevier. 2018 https://doi.org/10.1016/j.ijar.2018.07.010 . https://www.sciencedirect.com/science/article/pii/S0888613X18300562, IF 2.9. Q2 (Scopus: Q1, top 11) (PDF) 3. Renzo Massobrio, Sergio Nesmachnow, Andrei Tchernykh, Arutyun Avetisyan, Gleb Radchenko. Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities. Programming and Computer Software, 2018, Vol. 44, No. 3, pp. 181–189. 2018 Springer. https://link.springer.com/article/10.1134/S0361768818030052, DOI: 10.1134/S0361768818030052, ISSN 0361-7688, IF 0.637, Q4 (Scopus: Q3) 4. Alexander Yu. Drozdov, Andrei Tchernykh, Sergey V Novikov, Victor E Vladislavlev, Raul Rivera-Rodriguez. PHEFT: Pessimistic Image Processing Workflow Scheduling for DSP Clusters. Algorithms, 2018, 11(5), 76; Special Issue "Algorithms for Scheduling Problems" 2018, MDPI, Switzerland (ISSN 1999-4893) doi: 10.3390/a11050076, http://www.mdpi.com/1999-4893/11/5/76 (PDF) IF 1.510 Q3, (Scopus: Q3) 5.  Víctor Hugo Yaurima-Basaldua, Andrei Tchernykh, Francisco Villalobos-Rodríguez, Ricardo Salomon-Torres. Hybrid flow shop with unrelated machines, setup time and work in progress buffers for bi-objective optimization of tortilla manufacturing. Algorithms, 2018, 11(5), 68. Special Issue "Algorithms for Scheduling Problems" 2018, 9MDPI, Switzerland (ISSN 1999-4893) http://www.mdpi.com/1999-4893/11/5/68. doi: 10.3390/a11050068, https://doi.org/10.3390/a11050068 (PDF) IF 1.510 Q3, (Scopus: Q3) 6. Sergio Nesmachnow, Marcos Barreto, Andrei Tchernykh. Hybrid algorithms for 3-SAT optimisation using MapReduce on clouds. International Journal of Innovative Computing and Applications. Inderscience. Genève, Switzerland, 2018. ISSN: 1751-648X. Scopus (Elsevier) (PDF) https://www.inderscienceonline.com/doi/abs/10.1504/IJICA.2018.090835, https://doi.org/10.1504/IJICA.2018.090835 IF 0.450, Q3 (Scopus: Q4) 7. Maxim Deryabin, Nikolay Chervyakov, Andrei Tchernykh, Mikhail Babenko, and Mariia Shabalina. High Performance Parallel Computing in Residue Number System. © International Journal of Combinatorial Optimization Problems and Informatics, Vol. 9, No. 1, Jan-April 2018, pp. 62-67. ISSN: 2007-1558. https://ijcopi.org/index.php/ojs/article/view/80 8. Anton Nazarov, Nikolay Chervyakov, Andrei Tchernykh, Mikhail Babenko. Reliability Improvement of Information Systems by Residue Number System Code. International Journal of Combinatorial Optimization Problems and Informatics, Vol. 9, No. 1, Jan-April 2018, pp. 81-84. ISSN: 2007-1558. https://ijcopi.org/index.php/ojs/article/view/82 9. Igor Bychkov, Gennady Oparin, Andrei Tchernykh, Alexander Feoktistov, S.A. Gorsky, Raul Rivera-Rodriguez. Scalable Application for the Search of Global Minima of Multiextremal Functions. Optoelectronics, Instrumentation and Data Processing, Vol. 54, Issue 1, pp. 83–89. Springer 2018. DOI 10.3103/S8756699018010132, https://link.springer.com/article/10.3103/S8756699018010132 (Scopus: Q4) 10. Daniela Moctezuma-García, Juan Manuel Ramírez-Alcaraz, Sara Sandoval-Carrillo, Andrei Tchernykh. Clasificación de los problemas de optimización de redes de transporte público. Optimization problems classification of public transport networks. Programación Matemática y Software (2018) 10(1): 31-43. ISSN: 2007-3283  2017 1. Raul Ramírez-Velarde, Andrei Tchernykh, Carlos Barba-Jimenez, Adán Hirales-Carbajal, Juan Nolazco. Adaptive Resource Allocation with Job Runtime Uncertainty.  Journal of Grid Computing, 15(4), 415-434, 2017. Springer Netherlands, ISSN 1570-7873.  http://dx.doi.org/10.1007/s10723-017-9410-6 (PDF) https://link.springer.com/article/10.1007%2Fs10723-017-9410-6, IF 4.290, Q1, (Scopus: Q1, top 14) 2. Fermin Armenta-Cano, Andrei Tchernykh, Jorge Mario Cortés-Mendoza, Ramin Yahyapour, Alexander Yu. Drozdov, Pascal Bouvry, D. Kliazovich, Arutyun Avetisyan , S. Nesmachnow. Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention. Programming and Computer Software, 2017, Vol. 43, No. 3, pp. 204–215. © Springer. 2017  https://link.springer.com/article/10.1134/S0361768817030021, DOI: 10.1134/S0361768817030021  (PDF) IF 0.637, Q4 (Scopus: Q3) 2016 1. Carlos Barba-Jimenez, Raul Ramirez-Velarde, Andrei Tchernykh, Ramon Rodriguez-Dagnino, Raul Perez-Cacerez, Juan Nolazco-Flores. Cloud Based Video-on-Demand Service Model Ensuring Quality of Service and Scalability. Journal of Network and Computer Applications. Volume 70, July 2016, Pages 102–113 Elsevier, May 2016, http://dx.doi.org/10.1016/j.jnca.2016.05.007. IF 7.090, Q1 (Scopus Q1, top 3) (PDF) http://www.sciencedirect.com/science/article/pii/S1084804516300868 2. Andrei Tchernykh, Luz Lozano, Uwe Schwiegelshohn, Pascal Bouvry, Johnatan E. Pecero, Sergio Nesmachnow, Alexander Yu. Drozdov. Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Journal of Grid Computing. Springer-Verlag, (2016) vol. 14, Issue 1, pp 5–22. doi:10.1007/s10723-015-9340-0. IF 4.290, Q1 (PDF 918KB) https://link.springer.com/article/10.1007%2Fs10723-015-9340-0 3. Dzmitry Kliazovich, Johnatan E. Pecero, Andrei Tchernykh, Pascal Bouvry, Samee U. Khan, and Albert Y. Zomaya. CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing. Journal of Grid Computing, Springer-Verlag, (2016) vol. 14, Issue 1, pp 23-39. DOI 10.1007/s10723-015-9337-8 (PDF) https://link.springer.com/article/10.1007%2Fs10723-015-9337-8 IF 4.290, Q1 (Scopus : Q1, top 14). 4. O.Yu. Sergiyenko, M.V. Ivanov, V.V. Tyrsa, V.M. Kartashov, M. Rivas-López, D. Hernández-Balbuena, W. Flores-Fuentes, J.C. Rodríguez-Quiñonez, J.I. Nieto-Hipólito, W. Hernandez, A. Tchernykh. Data transferring model determination in robotic group. Robotics and Autonomous Systems. Vol. 83, Spt. 2016, p. 251–260.  Elsevier, 2016, http://dx.doi.org/10.1016/j.robot.2016.04.003, http://www.sciencedirect.com/science/article/pii/S0921889015303146, IF 4.050, Q1 (Scopus: Q1) 5. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Fermin A. Armenta-Cano, Pascal Bouvry, Alexander Yu. Drozdov, and Loic Didelot. Biobjective VoIP Service Management in Cloud Infrastructure, Scientific Programming, vol. 2016, Article ID 5706790, 14 pages, 2016. IF 1.344, Q2, doi:10.1155/2016/5706790. https://www.hindawi.com/journals/sp/2016/5706790/ 6. Renzo Massobrio, Sergio Nesmachnow, Andrei Tchernykh, Arutyun Avetisyan, Gleb Radchenko. Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities. Proceedings of ISP RAS - Proceedings of the Institute for System Programming of the RAS, Vol. 28, 6. 2016, p. 121-140, ISSN 2220-6426 (Online), ISSN 2079-8156 (Print). DOI: 10.15514/ISPRAS-2016-28(6)-9 (PDF) http://www.ispras.ru/en/proceedings/isp_28_2016_6/isp_28_2016_6_121/ 7. Nikolay Chervyakov, Mikhail Babenko, Andrei Tchernykh, Victor Kuchukov, Maxim Deryabin, N.N. Kuchukova. Development of a new method for computing modular multiplication in the residue number system. Neurocomputers: development and applications. 10, p. 41-48. Radiotekhnika, 2016, ISSN 1999-8554. http://www.radiotec.ru/ (PDF) , 2015 1. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Ana-Maria Simionovici, Pascal Bouvry, Sergio Nesmachnow, Bernabe Dorronsoro, Loic Didelot. VoIP Service Model for Multi-objective Scheduling in Cloud Infrastructure. IJMHeur - International Journal of Metaheuristics. Inderscience. Genève, Switzerland, Vol. 4, No. 2, p. 185-203, 2015. (PDF) http://www.inderscience.com/offer.php?id=74251 2. G.R. Garay, Andrei  Tchernykh, A.Yu. Drozdov. Comparative Analysis of Frameworks for the Performance Evaluation of Multi-tier Cloud Applications. International conference “Cloud computing. Education. Research. Development”, CCERD 2015 - The 6th Inter. Conference “Cloud Computing. Education. Research. Development". Moscow, Russia, December 3-4th., 2015. Proceedings of ISP RAS - Proceedings of the Institute for System Programming of the RAS, Vol. 27, 6. 2015, p. 199-224 ISSN 2220-6426 (Online), ISSN 2079-8156 (Print). DOI: 10.15514/ISPRAS-2015-27(6)-14 (PDF) http://www.ispras.ru/en/proceedings/isp_27_2015_6/isp_27_2015_6_199/ 3. F. Armenta-Cano, Andrei  Tchernykh, J. M. Cortés-Mendoza, R. Yahyapour, A. Yu. Drozdov, P. Bouvry, D. Kliazovich, Arutyun Avetisyan, S. Nesmachnow. Min_c: Heterogeneous Concentration Policy for Power Aware Scheduling. CCERD 2015 - The 6th Inter. Conference “Cloud Computing. Education. Research. Development". Moscow, Russia, December 3-4th., 2015. Proceedings of ISP RAS - Proceedings of the Institute for System Programming of the RAS, Vol. 27, 6. 2015, p. 355-380 ISSN 2220-6426 (Online), ISSN 2079-8156 (Print). DOI: 10.15514/ISPRAS-2015-27(6)-23 (PDF) http://www.ispras.ru/en/proceedings/isp_27_2015_6/isp_27_2015_6_355/ 2014 1. Andrei Tchernykh, Johnatan E. Pecero, Aritz Barrondo, Elisa Schaeffer. Adaptive Energy Efficient Scheduling in Peer-to-Peer Desktop Grids. Future Generation Computer Systems. Elsevier Science, Volume 36, July 2014, Pages 209–220. DOI: 10.1016/j.future.2013.07.011, (PDF) http://www.sciencedirect.com/science/article/pii/S0167739X13001568 IF:  7.010, Q1, (Scopus: Q1, top 4) 2013 1. Andrei Tchernykh, René Luna-García, and Juan Manuel Ramírez-Alcaraz. Guest Editors’ Introduction: Special Issue on Supercomputing in Mexico: Applications and Technologies. Computación y Sistemas, vol. 17, 3, pp. 285-288, 2013.  (PDF) IF: 0.620 Q3 (Scopus: Q3) 2. José Luis González García, Ramin Yahyapour, Andrei Tchernykh "Load Balancing for Parallel Computations with the Finite Element Method” . Computación y Sistemas, vol. 17, 3, pp. 299-316, 2013. (PDF) IF: 0.620 Q3 (Scopus: Q3) 3. Anuar Lezama Barquet, Andrei Tchernykh, Ramin Yahyapour “Performance Evaluation of Infrastructure as a Service Clouds with SLA Constraints” . Computación y Sistemas, vol. 17, 3, pp. 401-411, 2013. (PDF) IF: 0.620 Q3 (Scopus: Q3) 4. Victor Hugo Yaurima Basaldua, Andrei Tchernykh, Moises Torres Martinez. Análisis Comparativo de Algoritmos Genéticos Aplicados a Calendarización de Trabajos en un Grid Computacional. Research in Computing Science, Vol. 63, pp. 89-99. 2013, ISSN 1870-4069. © Instituto Politécnico Nacional, Mexico (PDF) 2012 1. Adán Hirales Carbajal, Andrei Tchernykh, Ramin Yahyapour, Thomas Röblitz, Juan Manuel Ramírez-Alcaraz, José Luis González-García. Multiple Workflow Scheduling Strategies with User Run Time Estimates on a Grid. Journal of Grid Computing, Volume 10 Issue 2, June 2012, Pages 325-346  Springer-Verlag New York, Inc. Secaucus, NJ, USA, doi:11007/s10723-012-9215-6, (PDF) https://link.springer.com/article/10.1007/s10723-012-9215-6 IF: 4.290, Q1 (Scopus: Q1) 2. Ariel Quezada-Pina, Andrei Tchernykh, José Luis González-García, Adán Hirales-Carbajal, Juan Manuel Ramírez-Alcaraz, Uwe Schwiegelshohn, Ramin Yahyapour, Vanessa Miranda-López. Adaptive parallel job scheduling with resource admissible allocation on two-level hierarchical grids. Future Generation Computer Systems 28/7 (2012) pp. 965-976. Elsevier Science, DOI: 10.1016/j.future.2012.02.004, ISSN: 0167-739X, IF:  7.010, Q1, (Scopus: Q1, top 4) (PDF) http://www.sciencedirect.com/science/article/pii/S0167739X12000374 2011 1. Juan Manuel Ramírez-Alcaraz, Andrei Tchernykh, Ramin Yahyapour, Uwe Schwiegelshohn, Ariel Quezada-Pina, José Luis González-García, Adán Hirales-Carbajal. Job Allocation Strategies with User Run Time Estimates for Online Scheduling in Hierarchical Grids. Journal of Grid Computing (2011) 9:95–116, Springer-Verlag, Netherlands, DOI 10.1007/s10723-011-9179-y ISSN: 1570-7873, (PDF) https://link.springer.com/article/10.1007/s10723-011-9179-y IF: 4.290, Q1 (Scopus: Q1) 2010-... 1. Andrei Tchernykh, Uwe Schwiegelsohn, Ramin Yahyapour, Nikolay Kuzjurin "On-line Hierarchical Job Scheduling on Grids with Admissible Allocation", Journal of Scheduling, Volume 13, Issue 5, pp. 545—552. Springer-Verlag, Netherlands, 2010. DOI: 10.1007/s10951-010-0169-x. ISSN: 1094-6136 (Print) 1099-1425 (Online) (PDF)  https://link.springer.com/article/10.1007/s10951-010-0169-x IF: 2.030, Q1 (Scopus: Q1, top 21) 2. Victor Yaurima, Larisa Burtseva, Andrei Tchernykh. Hybrid flowshop with unrelated machines, sequence-dependent setup time, availability constraints and limited buffers. Computers & Industrial Engineering. Volume 56, Issue 4, pp 1452-1463, Elsevier, 2007 ISSN: 0360-8352 (doi:10.1016/j.cie.2008.09.004)  ISSN: 0360-8352, (PDF) http://www.sciencedirect.com/science/article/pii/S0360835208001976 IF: 4.480, Q1 (Scopus: Q1, top 4) 3. Carlos A. Brizuela, Luis C. González-Gurrola, Andrei Tchernykh, Denis Trystram. Sequencing by hybridization: an enhanced crossover operator for a hybrid genetic algorithm.  Journal of Heuristics, vol. 13, 3, pp. 209-225, Springer-Verlag, 2007 ISSN: 1381-1231, 2010 (PDF, 154KB). https://link.springer.com/article/10.1007/s10732-007-9014-6 IF:1.750. Q2 (Scopus: Q1, top 22) 4. Andrei Tchernykh, Denis Trystram, Carlos Brizuela, Isaac Scherson. Idle Regulation in Non-Clairvoyant Scheduling of Parallel Jobs. Discrete Applied Mathematics 157 (2009) pp. 364–376, Elsevier Science,  ISSN: 0166-218X, (PDF) http://www.sciencedirect.com/science/article/pii/S0166218X08001285 IF: 1.180, Q2. (Scopus: Q2) 5. Andrei Tchernykh,  Klaus Ecker. Worst Case Behavior of List Algorithms for Dynamic Scheduling of Non-Unit Execution Time Tasks with Arbitrary Precedence Constrains. IEICE-Tran Fund Elec, Comm. & Comp. Science, 2008 Vol.E91-A,No.8,pp.2277-2280, Aug. 2008 ISSN: 0916-8508, (PDF) https://www.jstage.jst.go.jp/article/transfun/E91.A/8/E91.A_8_2277/_article IF: 0.470, Q3 (Scopus: Q3) 6. Andrei  Tchernykh, A. Cristóbal-Salas, V. Kober, and I. Ovseevich. Partial Evaluation Technique for Distributed Image Processing, Pattern Recognition and Image Analysis, 2007, Vol. 17, No. 3, pp. 390–398. © Pleiades Publishing, Ltd., 2007. ISSN 1054-6618 (PDF) https://link.springer.com/article/10.1134%2FS1054661807030054 IF 0.930 Q3 (Scopus: Q3) 7. Alfredo Cristóbal-Salas, Andrei Tchernykh. I-Structure Software Cache for Distributed Applications. DYNA-Colombia, pp. 67-74, vol 141. 2004. ISSN 0012­7353, (PDF) http://www.ingentaconnect.com/content/doaj/00127353/2004/00000071/00000141/art00008, https://revistas.unal.edu.co/index.php/dyna, http://dx.doi.org/10.15446/dyna IF: 0.400, Q3 (Scopus: Q3) 8. Andrei Tchernykh, A. Stepanov, A. Lupenko, N. Tchernykh.  Abstract Network Machine: parallel computation on associative networks with incompete data structures. DYNA-Colombia, 70 Año, pp. 71-88. 2003 vol. 130. ISSN 0012­7353, (PDF) http://www.ingentaconnect.com/search/article?option1=tka&value1=%22Abstract+Network+Machine%22&pageSize=10&index=1, https://revistas.unal.edu.co/index.php/dyna, http://dx.doi.org/10.15446/dyna, IF: 0.400, Q3  (Scopus: Q3) https://www.ingentaconnect.com/content/doaj/00127353/2003/00000070/00000140/art00007 9. A. Cristobal, Andrei Tchernykh, J-L.Gaudiot, W-Y.Lin. Non-Strict Execution in Parallel and Distributed Computing, International Journal of Parallel Programming, Kluwer Academic Publishers, New York, U.S.A., vol. 31, 2, p. 77-105, 2003 ISSN: 0885-7458, 2010 (PDF) https://link.springer.com/article/10.1023/A%3A1022664724413 IF: 1.560, Q3 (Scopus: Q3) 10. A. Rodriguez, Andrei Tchernykh, Klaus Ecker.. Algorithms for Dynamic Scheduling of Unit Execution Time Tasks. European Journal of Operational Research, Elsevier Science, North-Holland, v.146, 2, p. 403-416, 2003. ISSN: 0377-2217, (PDF, 401 KB) http://www.sciencedirect.com/science/article/pii/S0377221702002369 5-YEAR IF: 4.710. Q1 (Scopus: Q1) 11. M. Mozerov, V. Kober, Andrei Tchernykh, T.S. Choi. Motion estimation using modified dynamic programming. SPIE, Optical Engineering, Vol. 41, No. 10, p. 2592-2598, 2002 ISSN: 0091-3286, 5-YEAR IF: 1.280, Q1 https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-41/issue-10/0000/Motion-estimation-using-modified-dynamic-programming/10.1117/1.1503348.short?SSO=1 12. Andrei Tchernykh, K. Ecker, N. Tchernykh. MSF Algorithm of Dynamic Tasks Distribution”, Information Technology and Computer Systems. v. 3, 2, p. 83-98, 2001 13. Andrei Tchernykh, A.Stepanov, A.Rodríguez, I.Scherson. Parallel Computation in Abstract Network Machine, Revista Iberoamericana de Investigación “Computación y Sistemas” v. IV, No. 4, p. 143-157, 2000 IF: 0.620 Q3 (PDF, 2.24 MB) 14. Ecker, Klaus H.; Sherson, Isaac; Tchernykh, Andrei. Parallel Computing Systems. Editorial (English). Computación y Sistemas 4, No. 2, pp. 83-84 (2000). ISSN 1405–5546. IF: 0.620 Q3 (Scopus: Q3) (PDF, 2.24 MB) 15. A.M.Stepanov. Andrei Tchernykh, A.I.Lupenko, N.G.Tchernykh. Dynamic Partial Evaluations as Declarative Program parallelization and Optimization Technique. Information Technology and Computer Systems. v. 1, 4, 1997, p. 32-41. 16. A.M.Stepanov. Andrei N.Tchernykh, N.G.Tchernykh. Parallel Computations on Associative Networks in Application to the Logic Modeling Problem. Non Conventional Supercomputers, Moscow, v.1, 2, 1993, 23p.   Conferences 2020 (work in progress) · Mikhail Babenko, Elena Golimblevskaia, Egor Shiryaev, Tatiana Ermakova, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Arutyun Avetisyan. Experimental Analysis of Secure Outsourced Matrix Multiplication based on Homomorphic Encryption. ACM SIGCOMM 2021 - ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication. (online) August 23–27, 2021 (CORE Rank A*) · Jorge Mario Cortés-Mendoza, Gleb Radchenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Mikhail G. Babenko, Arutyun Avetisyan, Pascal Bouvry and Albert Zomaya. LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments. CCGRID 2021 - The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 10-13, 2021, Melbourne, Victoria, Australia (CORE Rank A) · A.G. Feoktistov, R.O.Kostromin, O.Yu. Basharina, Andrei Tchernykh. Agent-based approach to hybrid modeling queuing systems. AICTS 2020 - 1st International Workshop on Advanced Information and Computation Technologies and Systems, December 7-10, 2020, Irkutsk, Russia · Mikhail Babenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Nguyen Viet Hung.  Encryption Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network.  · Mikhail Babenko, Egor Shiriaev, Andrei Tchernykh, Elena Golimblevskaia. RNS Base Extension Error-Correcting Code for Enhanced Performance of Distributed Storages. · Jorge M. Cortés-Mendoza, Gleb Radchenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Mikhail Babenko, Arutyun Avetisyan, Alexander Yu. Drozdov, Sergio Nesmachnow, Privacy-Preserving Logistic Regression Solutions based on Residue Number System: Design and Analysis. · Mikhail Babenko, Aziz Redv anov, Maxim Deryabin, Nikolay Chervyakov, Andrei Tchernykh. Effective implementation of the arithmetic operation of multiplying a point of an elliptic curve given over a prime field by a scalar. · José Luis González García, Ramin Yahyapour, Andrei Tchernykh. “Graph Partitioning for FEM Applications: Reducing the Communication Volume with Nested DSHEM. 2020 (accepted) 1. Sergio Nesmachnow, Andrei Tchernykh. Multiobjective Iterated Local Search for affinity multiprocessor scheduling. AICTS 2020 - 1st International Workshop on Advanced Information and Computation Technologies and Systems, December 7-10, 2020, Irkutsk, Russia 2. Sergio Nesmachnow, Claudio Paz and Andrei Tchernykh. Multiobjective route planning of autonomous unmanned aerial vehicles for exploration and surveillance. AICTS 2020 - 1st International Workshop on Advanced Information and Computation Technologies and Systems, December 7-10, 2020, Irkutsk, Russia 3. Lucía Barrero, Rodrigo Viera, Franco Robledo, Claudio Risso, Sergio Nesmachnow, Andrei Tchernykh. Exact resolution of the Vehicle Routing Problem with Flexible Time Windows.         ICPR - Americas 2020. The International Conference of Production Research.  December 9-11, 2020,  Bahía Blanca, Argentina 4. Jonathan Muraña, Sergio Nesmachnow, Santiago Iturriaga, Sebastián Montes de Oca, Gonzalo Belcredi, Pablo Monzon, Andrei Tchernykh. Two Level Demand Response Planning for Retail Multi-Tenant Datacenters.  InterCloud-HPC 2020 - International Symposium on Cloud Computing and Services for High Performance Computing Systems. In conjunction with 18th International Conference on High Performance Computing & Simulation (HPCS 2020) October 26 - 30, 2020, Barcelona, Spain (CORE Rank B) 5. Jose E. Gonzalez Trejo, Jose E. Lozano Rizk, Raul Rivera Rodriguez, Andrey Tchernykh, Salvador Villarreal Reyes, Alejandro Galaviz Mosqueda, Juan I. Nieto Hipolito. QoS-Aware Flow Allocation Strategy in Software Defined Networks Based on MOCell Optimization. InterCloud-HPC 2020 - International Symposium on Cloud Computing and Services for High Performance Computing Systems. In conjunction with 18th International Conference on High Performance Computing & Simulation (HPCS 2020) October 26 - 30, 2020, Barcelona, Spain (CORE Rank B) 6. Hernán Winter, Juan Serra, Sergio Nesmachnow, Andrei Tchernykh, Vladimir Shepelev. Computational intelligence for analysis of traffic data.  ICSC-CITIES 2020 - III Ibero-American Congress on Smart Cities. San José, Costa Rica, November 9-11, 2020 7. Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Mikhail Babenko, Jorge M. Cortés-Mendoza, Gleb Radchenko, Arutyun Avetisyan, Alexander Yu. Drozdov. Toward Fast and Accurate Polynomial Approximations for Practical Homomorphic Evaluation of Neural Network Activation Functions. HPCS 2020 - 18th International Conference on High Performance Computing & Simulation, December 10-14, 2020, Barcelona, Spain (CORE Rank B) 8. Andrei Tchernykh, Adrián Facio Medina, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Gleb Radchenko, Mikhail Babenko, Igor Chernykh, Igor Kulikov, Sergio Nesmachnow, Raul Rivera-Rodriguez. Toward digital twins' workload allocation on clouds with low-cost microservices streaming interaction. ISPRAS OPEN 2020 - Ivannikov ISP RAS Open Conference, Moscow, Russia, December 10-11, 2020 9. Mikhail Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Elena Golimblevskaia, Jorge M. Cortés-Mendoza, Arutyun Avetisyan. Experimental Evaluation of Homomorphic Comparison Methods. ISPRAS OPEN 2020 - Ivannikov ISP RAS Open Conference, Moscow, Russia, December 10-11, 2020 10. Mikhail Babenko, Andrei Tchernykh, Elena Golimblevskaia, Luis Bernardo Pulido-Gaytan, Arutyun Avetisyan. Homomorphic Comparison Methods: Technologies, Challenges, and Opportunities. En&T-2020 - 7th international conference “Engineering and Telecommunication”, Moscow/Dolgoprudny. Russia, November 25-26, 2020 11. Egor Shiryaev, Elena Golimblevskaia, Mikhail Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan. Improvement of the approximate method for the comparison operation in the RNS. En&T-2020 - 7th international conference “Engineering and Telecommunication”, Moscow/Dolgoprudny. Russia, November 25-26, 2020 12. Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge Mario Cortés-Mendoza, Mikhail Babenko, Gleb Radchenko. A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. HPC&AI2020 - Artificial Intelligence using HPC track, in the frame of CARLA 2020 - Latin America High Performance Computing Conference. Cuenca, Ecuador, September 02-04, 2020 13. Alexander Feoktistov, Roman Kostromin, Andrei Tchernykh. Training System for Computation Management Agents in a Heterogeneous Distributed Environment. SAIT 2019 - 8th International Conference on Systems Analysis and Information Technologies. Irkutsk-Baikal, Russia, July 8-14, 2019 2020 (published) 1. Vanessa Miranda-López, Andrei Tchernykh,  Mikhail Babenko, Viktor Kuchukov, Elena Golimblevskaia, Egor Shiryaev, Maxim Deryabin, Arutyun Avetisyan, Raul Rivera-Rodriguez, Gleb Radchenko, El-Ghazali Talbi. Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. HPCS 2019 - 2019 International Conference on High Performance Computing & Simulation, Dublin, Ireland, IEEE, 2019, pp. 915-922, (CORE Rank B) (PDF) DOI: 10.1109/HPCS48598.2019.9188057 2. Carlos E. Gómez, Jaime Chavarriaga, Andrei Tchernykh, Harold E. Castro. Improving Reliability for provisioning of virtual machines in Desktop Clouds. In: Schwardmann U. et al. (eds) Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019. Lecture Notes in Computer Science, vol 11997, pp 669-680, 2020. Springer, Cham. DOI: 10.1007/978-3-030-48340-1_51 3. Igor Kulikov, Igor Chernykh, Andrei Tchernykh. A Scalable Parallel Computing Framework for Large-Scale Astrophysical Fluid Dynamics Numerical Simulation. PDCAT 2019 - The 20th International Conference on Parallel and Distributed Computing, Applications and Technologies. Gold Coast, Australia, 2019, pp. 328-333, DOI: 10.1109/PDCAT46702.2019.00066 4. Jorge Mario Cortés-Mendoza, Andrei Tchernykh, Mikhail Babenko, Luis Bernardo Pulido-Gaytán, Gleb Radchenko, Franck Leprevost, Xinheng Wang, Arutyun Avetisyan. Privacy-Preserving Logistic Regression as a Cloud Service based on Residue Number System.  In: Vladimir Voevodin, Sergey Sobolev (eds) Supercomputing. RusSCDays 2020. Communications in Computer and Information Science. Vol.   , pp.  Springer,  2020 DOI: 10.1007/978-3-030-64616-5_51 5. Mikhail Babenko, Maxim Deryabin, Andrei Tchernykh The Accuracy Estimation of the Interval-Positional Characteristic in Residue Number System. En&T-2019 - 6th international conference “Engineering and Telecommunication”, Moscow/Dolgoprudny. Russia, November 21-22, 2019 p. 1-5 DOI: 10.1109/EnT47717.2019.9030549 https://ieeexplore.ieee.org/document/9030549  6. Luis Enrique García-Hernández, Andrei Tchernykh, Vanessa Miranda, Mikhail Babenko, Arutyun Avetisyan, Raul Rivera-Rodriguez, Gleb Radchenko, Carlos Jaime Barrios-Hernandez, Harold Castro. Multi-objective configuration of a secured distributed cloud data storage.  In: Crespo-Mariño J., Meneses-Rojas E. (eds) High Performance Computing. CARLA 2019. Communications in Computer and Information Science, vol 1087. pp 78-93, Springer, Cham  2020 DOI: 10.1007/978-3-030-41005-6_6 https://link.springer.com/chapter/10.1007%2F978-3-030-41005-6_6 7. Alexander Feoktistov, Sergei Gorsky, Ivan Sidorov, Igor Bychkov, Andrei Tchernykh, Alexei Edelev. Collaborative Development and Use of Scientific Applications in Orlando Tools: Integration, Delivery, and Deployment. In: Crespo-Mariño J., Meneses-Rojas E. (eds) High Performance Computing. CARLA 2019. Communications in Computer and Information Science, vol 1087. pp 18-32, Springer, Cham  2020 DOI: 10.1007/978-3-030-41005-6_2 https://link.springer.com/chapter/10.1007/978-3-030-41005-6_2  8. Sergio Nesmachnow, Jonathan Muraña, Gerardo Goñi, Renzo Massobrio, Andrei Tchernykh  Evolutionary Approach for Bus Synchronization. In: Crespo-Mariño J., Meneses-Rojas E. (eds) High Performance Computing. CARLA 2019. Communications in Computer and Information Science, vol 1087. pp 320-336, Springer, Cham  2020 DOI: 10.1007/978-3-030-41005-6_22 https://link.springer.com/chapter/10.1007/978-3-030-41005-6_22 9. Alexander Feoktistov, Sergei Gorsky, Ivan Sidorov, Andrey Tchernykh. Continuous Integration in Distributed Applied Software Packages in the Environment with Virtualized Resources. MIPRO 2019 - 42st IEEE International Convention on information and communication technology, electronics and microelectronics. Opatija, Croatia, May 20-24, 2019, IEEE MIPRO 2019/SSE  pp. 1775-1780,  2019  (PDF) 10. Nikolay Kucherov, Mikhail Babenko, Andrei Tchernykh, Viktor Kuchukov, Irina Vashchenko. Increasing reliability and fault tolerance of a secure distributed cloud storage. ICCS-DE 2020 - 2nd International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia. July 6-7, 2020. Edited by: Igor Bychkov, Andrei Tchernykh, Alexander Feoktistov. CEUR-WS: Vol-2638, pp. 166-180, 2020 http://ceur-ws.org/Vol-2638/ DOI: 10.47350/ICCS-DE.2020.16 11. Mikhail Babenko, Egor Shiriaev, Andrei Tchernykh, Elena Golimblevskaia. Neural network method for base extension in residue number system. ICCS-DE 2020 - 2nd International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia. July 6-7, 2020. Edited by: Igor Bychkov, Andrei Tchernykh, Alexander Feoktistov. CEUR-WS: Vol-2638, pp. 9-22, 2020 http://ceur-ws.org/Vol-2638/ DOI: 10.47350/ICCS-DE.2020.01 12. Mikhail Babenko, Andrei Tchernykh, Elena Golimblevskaia, Nguyen Viet Hung, Vijay K. Chaurasiya. Computationally secure threshold secret sharing scheme with minimal redundancy. ICCS-DE 2020 - 2nd International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia. July 6-7, 2020. Edited by: Igor Bychkov, Andrei Tchernykh, Alexander Feoktistov. CEUR-WS: Vol-2638, pp. 23-32, 2020 http://ceur-ws.org/Vol-2638/ DOI: 10.47350/ICCS-DE.2020.02 2019 1. José Luis González García, Ramin Yahyapour, Andrei Tchernykh. Graph Partitioning for FEM Applications: Reducing the Communication Volume with DSHEM. HPCS 2019 - 2019 International Conference on High Performance Computing & Simulation, Dublin, Ireland, IEEE, 2019,  pp. 779-786, DOI: 10.1109/HPCS48598.2019.9188124. (CORE Rank B) (PDF) 2. Andrei Tchernykh, Mikhail Babenko, Viktor Kuchukov, Vanessa Miranda-López, Arutyun Avetisyan, Raul Rivera-Rodriguez, Gleb Radchenko. Data Reliability and Redundancy Optimization of a Secure Multi-Cloud Storage Under Uncertainty of Errors and Falsifications. IPDPS 2019 - 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Rio de Janeiro, Brazil, 2019, pp. 565-572. DOI 10.1109/IPDPSW.2019.00099 (CORE Rank A) (PDF)   3. Xiaobin Ma, Zhihui Du, Yankui Sun, Andrei Tchernykh, Chao Wu, Jianyan Wei. An Efficient Parallel Framework to Analyze Astronomical Sky Survey Data. In: Li J., Meng X., Zhang Y., Cui W., Du Z. (eds) Big Scientific Data Management. BigSDM 2018. Lecture Notes in Computer Science, vol 11473. pp 67-77, 2019. Springer, Cham DOI: https://doi.org/10.1007/978-3-030-28061-1_8 4. Sonia Shahzadi, Muddessar Iqbal, Xinheng Wang, George Ubakanma, Tasos Dagiuklas, Andrei Tchernykh. Lightweight Computation to Robust Cloud Infrastructure for Future Technologies. CollaborateCom 2019 - The 15th International Conference on Collaborative Computing, London, UK,  August 19-22, 2019, DOI: https://doi.org/10.1007/978-3-030-30146-0_1 https://link.springer.com/chapter/10.1007/978-3-030-30146-0_1 5. Victor Toporkov, Andrei Tchernykh, Dmitry Yemelyanov. Budget and Cost-aware Resources Selection Strategy in Cloud Computing Environments. In: Voevodin V., Sobolev S. (eds) Supercomputing. RuSCDays'19,  Communications in Computer and Information Science, CCIS, vol 1129, pp 667-677, 2019. Springer Cham, DOI: 10.1007/978-3-030-36592-9_54 6. Ameer B. A. Alaasam, Gleb Radchenko, Andrei Tchernykh. Stateful Stream Processing for Digital Twins: Microservice-Based Kafka Stream DSL. 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) Novosibirsk, Russia, 2019, pp. 0804-0809. doi: 10.1109/SIBIRCON48586.2019.8958367 7. A. G. Feoktistov, R. O.  Kostromin, E. S. Fereferov, A. Tchernykh, O. Yu..Basharina, V. I. Dmitriev and Ya. V. Kurzybova. Toolkit for simulation modeling of queue systems in Grid. ICCS-DE 2019 - Proceedings of the 1st International Workshop on Information, Computation, and Control Systems for Distributed Environments , Irkutsk, Russia, July 8-9, 2019. Edited by: Igor Bychkov, Andrei Tchernykh. CEUR-WS: Vol-2430, pp. 51-59, 2019 DOI: 10.47350/ICCS-DE.2019.05, http://ceur-ws.org/Vol-2430/ (PDF) 8. Maxim Deryabin, Nikolai Chervyakov, Andrei Tchernykh, Viktor Berezhnoy, Anvar Djurabaev, Anton Nazarov, Mikhail Babenko. Comparative Performance Analysis of Information Dispersal Methods. FRUCT 2019 - The 24th IEEE Conference of the Open Innovations Association, Moscow, Russia, 8-12 April 2019 DOI: 10.23919/FRUCT.2019.8711955. 9. Andrei Tchernykh, Alexander Feoktistov, Sergei Gorsky, Ivan Sidorov, Roman Kostromin, Igor Bychkov, Olga Basharina, Vassil Alexandrov and Rivera-Rodriguez Rivera-Rodriguez. Orlando Tools: Development, Training, and Use of Scalable Applications in Heterogeneous Distributed Computing Environments. In: Meneses E., Castro H., Barrios Hernández C., Ramos-Pollan R. (eds) High Performance Computing. CARLA 2018. Communications in Computer and Information Science, vol. 979. pp 265-279, 2019 Springer, DOI: https://doi.org/10.1007/978-3-030-16205-4_20 10. Esteban C. Lopez- Falcon, Vanessa Miranda-López, Andrei Tchernykh, Mikhail Babenko, Arutyun Avetisyan. Bi-objective Analysis of an Adaptive Secure Data Storage in a Multi-cloud.  In: Meneses E., Castro H., Barrios Hernández C., Ramos-Pollan R. (eds) High Performance Computing. CARLA 2018. Communications in Computer and Information Science, vol. 979. pp 307-321, 2019 Springer, DOI: https://doi.org/10.1007/978-3-030-16205-4_23 11. Santiago Iturriaga, Gerardo Goñi, Sergio Nesmachnow, Bernabe Dorronsoro and Andrei Tchernykh. Cost and QoS optimization of cloud-based Content Distribution Networks using evolutionary algorithms. In: Meneses E., Castro H., Barrios Hernández C., Ramos-Pollan R. (eds) High Performance Computing. CARLA 2018. Communications in Computer and Information Science, vol. 979. pp 293-306 , 2019 Springer, DOI: https://doi.org/10.1007/978-3-030-16205-4_22 12. Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Sergio Nesmachnow, Alfredo Cristóbal-Salas, Arutyun Avetisyan, Harold Enrique Castro Barrera, Carlos Jaime Barrios Hernandez. Multi-Objective Optimization of Vehicle Routing with Environmental Penalty. In: Torres M., Klapp J. (eds) Supercomputing. ISUM 2019. Communications in Computer and Information Science, vol 1151, pp 147-162, 2019 Springer, Cham DOI: 10.1007/978-3-030-38043-4_13 13. Jonathan Denis, Renzo Massobrio, Sergio Nesmachnow, Alfredo Cristobal, Andrei Tchernykh, and Esteban Meneses. Parallel computing for processing data from Intelligent Transportation Systems.  In: Torres M., Klapp J. (eds) Supercomputing. ISUM 2019. Communications in Computer and Information Science, vol 1151, pp 266-281, 2019 Springer, Cham DOI: 10.1007/978-3-030-38043-4_22 14. Alfredo Cristóbal-Salas, Bardo Santiago-Vicente, Daniel Pérez-Castañeda, Carolina Solis-Maldonado, Raul Alejandro Luna-Sáncez, Andrei Tchernykh, Sergio Nesmachnow. A Customized Evacuation Route Planning Algorithm for Highly Risky Smart Cities.  2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). Ixtapa, Mexico, 2019, pp. 1-5, doi: 10.1109/ROPEC48299.2019.9057125 15. Alfredo Cristobal-Salas, Andrei Tchernykh, Sergio Nesmachnow, Ceila-Yasmin García-Morales, Bardo Santiago-Vicente, José-Eduardo Herrera-Vargas, C. Solís-Maldonado, R.A. Luna-Sánchez. ETL processing in Business Intelligence Projects for Public Transportation Systems. In: Torres M., Klapp J. (eds) Supercomputing. ISUM 2019. Communications in Computer and Information Science, vol 1151, pp 42-50, 2019 Springer, Cham DOI: 10.1007/978-3-030-38043-4_4 16. Alfredo Cristóbal-Salas, Andrei Tchernykh, Sergio Nesmachnow, Bardo Santiago-Vicente, Raúl Alejandro Luna-Sánchez, Carolina Solis-Maldonado. Multi-objective Evolutive Multi-thread Path-Planning Algorithm Considering Real-Time Extreme Weather Events. In: Torres M., Klapp J. (eds) Supercomputing. ISUM 2019. Communications in Computer and Information Science, vol 1151, pp 137-146, 2019 Springer, Cham DOI: 10.1007/978-3-030-38043-4_12 17. Alfredo Cristóbal-Salas, Andrei Tchernykh, Sergio Nesmachnow, Bardo Santiago-Vicente, Raúl-Alejandro Luna-Sánchez, Carolina Solis-Maldonado. Public Transportation System Real-Time Re-organization Due to Civil Protection Events . In: Torres M., Klapp J. (eds) Supercomputing. ISUM 2019. Communications in Computer and Information Science, vol 1151, pp 127-136, 2019 Springer, Cham DOI: 10.1007/978-3-030-38043-4_11 2018 1. Gleb Radchenko, Ameer Alaasam, Andrei Tchernykh. Micro-Workflows: Kafka and Kepler fusion to support Digital Twins of Industrial Processes. 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC  Companion 2018), Zurich, Switzerland, December 17-20, p. 83-88, IEEE 2018 DOI 10.1109/UCC-Companion.2018.00039 (PDF) 2. Alexey Podkoritov, Ksenia Repina and Gleb Radchenko, Andrei Tchernykh. Dataflow adapter: a tool for integrating legacy applications into distributed stream processing. In 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion 2018), p. 15-16, IEEE 2018, DOI: 10.1109/UCC-Companion.2018.00023 (PDF) 3. Rewer Canosa, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Raul Rivera-Rodriguez, Jose Eleno Lozano Rizk, Arutyun Avetisyan, Zhihui Du, Gleb Radchenko, Eduardo Concepción Morales. Energy consumption and quality of service optimization in containerized cloud computing // IEEE The Proceedings of the 2018 Ivannikov ISPRAS Open Conference (ISPRAS 2018) 2018. P. 47-55, https://doi.org/10.1109/ISPRAS.2018.00014, BMS Part Number: CFP18N36-PRT, ISBN-13: 978-1-7281-1275-6, WoS, Scopus 4. Sergio Nesmachnow, Renzo Massobrio, Alfredo Cristóbal, Andrei Tchernykh. Planificación de transporte urbano en ciudades inteligentes. ICSC-CITIES 2018 - I Ibero-American Congress of Smart Cities. Soria, España,  pp. 204-218, 2018 5.  Andrei Tchernykh, Rewer Canosa, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Raul Rivera-Rodriguez. Bi-objective strategies for resource optimization in containerized cloud computing. CARLA 2018 - Latin American Conference on High Performance Computing. Piedecuesta, Colombia September 26th – 28th 2018. The special procceedings of the conference. Short paper  (accepted) 6. Xiaobin Ma, Zhihui Du, Yankui Sun, Yuan Bai, Suping Wu, Andrei Tchernykh, Yang Xu, Chao Wu, and Jianyan Wei. E-Zone: A Faster Neighbor Point Query Algorithm for Matching Spacial Objects. In: Yong Shi, Haohuan Fu, Yingjie Tian, Dr. Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack Dongarra, Peter M. A. Sloot (eds) Computational Science – ICCS 2018. Lecture Notes in Computer Science, vol 10862. p.473-479, Springer (CORE Rank A) https://www.springerprofessional.de/en/e-zone-a-faster-neighbor-point-query-algorithm-for-matching-spac/15837220, DOI: 10.1007/978-3-319-93713-7_42 7. Julia Talalaeva, Mikhail Babenko, Nikolay Chervyakov, Andrei Tchernykh, Gleb Radchenko, Victor Kuchukov. Smart Store: Automatic Detection of Empty Product Spaces Based on the Video Surveillance System. SCM 2018 - The XXI International Conference on Soft Computing and Measurements. Saint Petersburg, Russia (May 23–25, 2018) 8. Ameer B. A. Alaasam, Gleb Radchenko, Andrey Tchernykh, Kirill Borodulin, Alexey Podkorytov. Scientific Micro-Workflows: Where Event-Driven Approach Meets Workflows to Support Digital Twins. Proceedings of the international conference RuSCDays'18 - Russian Supercomputing Days (September 24-25, 2018, Moscow, Russia), MSU, p. 489-495, 2018 DOI: 10.29003/m680.RussianSCDays (PDF) 9. Alexander Feoktistov, Ivan Sidorov, Andrei Tchernykh, Alexei Edelev, Valery Zorkalzev, Roman Kostromin, Sergey Gorsky, Igor Bychkov, Arutyun Avetisyan. Multi-Agent Approach for Dynamic Elasticity of Virtual Machines Provisioning in Heterogeneous Distributed Computing Environment. InterCloud-HPC 2018 -International Symposium on Cloud Computing and Services for High Performance Computing Systems. As part of The 16th International Conference on High Performance Computing & Simulation (HPCS 2018) July 16 – 20, 2018. Orléans, France (CORE Rank B) 2018, IEEE, pp. 909-916. DOI: 10.1109/HPCS.2018.00145 (PDF) 10. Maxim Deryabin, Nikolay Chervyakov, Andrei Tchernykh, Mikhail Babenko, Nikolay Kucherov, Vanessa Miranda-López, Arutyun Avetisyan. Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage. InterCloud-HPC 2018 -International Symposium on Cloud Computing and Services for High Performance Computing Systems. As part of The 16th International Conference on High Performance Computing & Simulation (HPCS 2018) July 16 – 20, 2018. Orléans, France (CORE Rank B) , IEEE, pp. 700-706. DOI: 10.1109/HPCS.2018.00114 (PDF) 11. Andrei Tchernykh, Mikhail Babenko, Vanessa Miranda-López, Alexander Yu. Drozdov, Arutyun Avetisyan. WA-RRNS: Reliable Data Storage System Based on Multi-Cloud. PDCO 2018 - 8th IEEE Workshop Parallel / Distributed Computing and Optimization, as part of the IPDPS 2018 - 32nd IEEE/ACM International Parallel and Distributed Processing, Vancouver, Canada, May 21-25, 2018  (CORE Rank A) DOI: 10.1109/IPDPSW.2018.00107 https://ieeexplore.ieee.org/document/8425474/ 12. Alexander Feoktistov, Roman Kostromin, Andrey Tchernykh. Agent Behavior Model for Distributed Computing Management in the Environment with Virtualized Resources. MIPRO 2018 - 41st Int, Convention on inf. and communication technology, electronics and microelectronics. Karolj Skala (Ed.). Riejka: p.1153-1158. IEEE, 2018 (PDF) 13. Jakub Gąsior, Franciszek Seredyński, Andrei Tchernykh. A Security-Driven Approach to Online Job Scheduling in IaaS Cloud Computing Systems. PPAM 2017 - 12th International Conference on Parallel Processing and Applied Mathematics, Lublin, Poland, (September 10-13, 2017) In book: Parallel Processing and Applied Mathematics) Eds. Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski. Vol. 10778. Pages 156-165, Springer, 2018 DOI: 10.1007/978-3-319-78054-2_15, (CORE Rank C) 14. Andrei Tchernykh, Mikhail Babenko, Nikolay Chervyakov, Vanessa Miranda-López, Jorge M. Cortés-Mendoza, Zhihui Du, Philippe OA Navaux, Arutyun Avetisyan. Analysis of Secured Distributed Cloud Data Storage Based on Multilevel RNS. ElConRus 2018 - IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering. January 29 - February 01, 2018, St. Petersburg, Russia. IEEE, 2018, DOI: 10.1109/EIConRus.2018.8317112  http://ieeexplore.ieee.org/document/8317112/ (PDF) 15.  Mikhail Babenko, Nikolay Chervyakov, Andrei Tchernykh, Nikolay Kucherov, Maxim Deryabin, Gleb Radchenko, Philippe O. A. Navaux, Viktor Svyatkin. Security Analysis of Homomorphic Encryption Scheme for Cloud Computing: Known-Plaintext Attack. ElConRus 2018 - IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering. January 29 - February 01, 2018, St. Petersburg, Russia, IEEE, 2018. DOI: 10.1109/EIConRus.2018.8317083, http://ieeexplore.ieee.org/document/8317083/ (PDF) 16. Esteban C. Lopez-Falcon, Andrei Tchernykh, Nikolay Chervyakov, Mikhail Babenko, Elena Nepretimova, Vanessa Miranda-López, Alexander Yu. Drozdov, Gleb Radchenko, Arutyun Avetisyan. Adaptive Encrypted Cloud Storage Model. ElConRus 2018 - IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering. January 29 - February 01, 2018, St. Petersburg, Russia, IEEE, 2018. DOI: 10.1109/EIConRus.2018.8317099 , http://ieeexplore.ieee.org/document/8317099/(PDF) 17. Jonathan Muraña, Sergio Nesmachnow, Santiago Iturriaga, Andrei Tchernykh. Power consumption characterization of synthetic benchmarks in multicores. In E. Mocskos and S. Nesmachnow (Eds.): High Performance Computing. CARLA 2017. Communications in Computer and Information Science, CCIS vol. 796, pp. 21-37, 2018. © Springer International Publishing AG 2018. ISSN: 1865-0929, DOI —https://link.springer.com/chapter/10.1007/978-3-319-73353-1_2 18. Luis-Angel Galaviz-Alejos, Fermín Armenta-Cano, Andrei Tchernykh, Gleb Radchenko, Alexander Yu. Drozdov, Oleg Sergiyenko, Ramin Yahyapour. Bi-Objective Heterogeneous Consolidation in Cloud Computing. In E. Mocskos and S. Nesmachnow (Eds.). High Performance Computing. CARLA 2017. Communications in Computer and Information Science, CCIS 796, pp. 1–15, 2018. © Springer International Publishing AG 2018. ISSN: 1865-0929, DOI: https://doi.org/10.1007/978-3-319-73353-1_27 19. Vanessa Miranda-López, Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail Babenko, Gleb Radchenko, Sergio Nesmachnow, Zhihui Du. Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS. In E. Mocskos and S. Nesmachnow (Eds.): High Performance Computing. CARLA 2017. Communications in Computer and Information Science, CCIS vol. 796, pp. 370-383, 2018. © Springer 2018. ISSN: 1865-0929, DOI: https://doi.org/10.1007/978-3-319-73353-1_26 2017 1. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Gleb Radchenko, Alexander Yu Drozdov, RoC Prediction for Bi-Objective Cost-QoS Optimization of Cloud VoIP Call Allocations. En&T 2017 - IV IEEE International conference Engineering & Telecommunications, MIPT, Moscow. Russia, Page(s):119 - 123, 2017. DOI: 10.1109/ICEnT.2017.32 , http://ieeexplore.ieee.org/document/8241268/ (PDF) 2. David Peña, Andrei Tchernykh, Gleb Radchenko, Sergio Nesmachnow, Judith Ley-Flores, Roberto Nazariega. Multiobjective Optimization of Greenhouse Gas Emissions Enhancing the Quality of Service for Urban Public Transport Timetabling. En&T 2017 - IV IEEE International conference Engineering & Telecommunications, MIPT, Moscow, Russia, Page(s):114 - 118, 2017. DOI: 10.1109/ICEnT.2017.31, http://ieeexplore.ieee.org/document/8241267/. (PDF) 3. Gleb Radchenko, Kirill Borodulin, Aleksandr Shestakov, Leonid Sokolinsky, Andrei Tchernykh and Radu Prodan. Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rule a Smart Factory. UCC 2017 - IEEE/ACM International Conference on Utility and Cloud Computing. Dec 5-8, 2017, Austin, Texas, USA https://doi.org/10.1145/3147213.3149234 . 4. Mikhail Babenko, Nikolay Kucherov, Andrei Tchernykh, Nikolay Chervyakov, Elena Nepretimova and Irina Vashchenko. Development of a Control System for Computations in BOINC with Homomorphic Encryption in Residue Number System. In: E. Ivashko, A. Rumyantsev (eds.): Proceedings of the Third International Conference BOINC:FAST 2017, Petrozavodsk, Russia, Aug.28 - Sept 01, 2017, CEUR-WS.org  pp. 77-84, Vol-1973 ISSN 1613-0073 (PDF) http://ceur-ws.org/Vol-1973/. ScopusID: 2-s2.0-85034981800 5. Nikita Ashikhmin, Gleb Radchenko, Andrei Tchernykh. RAML-based Mock Service Generator for Microservice Applications Testing. RuSCDays'17 - Russian Supercomputing Days. Moscow, Russia, September 25-26, pp. 296-307, 2017 (PDF) http://russianscdays.org/files/pdf17/296.pdf 6. Natalia Nikitina, Evgeny Ivashko, Andrei Tchernykh. Congestion Game Scheduling Implementation for High-Throughput Virtual Drug Screening Using BOINC-based Desktop Grid. PaCT 2017 - 14th International Conference on Parallel Computing Technologies. Nizhni Novgorod, Russia. (September 4-8, 2017). In book:  Parallel Computing Technologies. V. Malyshkin (Ed.): PaCT 2017, Lecture Notes in Computer Science  (LNCS) 10421, pp. 480–491, 2017. © Springer International Publishing AG 2017, DOI: 10.1007/978-3-319-62932-2_46 (PDF 281KB) https://link.springer.com/chapter/10.1007%2F978-3-319-62932-2_46 7. Nikita Ashikhmin, Gleb Radchenko, Andrei Tchernykh. RAML-based Mock Service Generator for Microservice Applications Testing. In: Voevodin V., Sobolev S. (eds) Supercomputing. RuSCDays 2017. Communications in Computer and Information Science, vol 793. pp.456-467, 2017. Springer, ISBN978-3-319-71254-3, DOI: 10.1007/978-3-319-71255-0_37, https://link.springer.com/chapter/10.1007%2F978-3-319-71255-0_37 8. Andrei Tchernykh, Mikhail Babenko, Nikolay Chervyakov, Jorge M. Cortés-Mendoza, Nikolay Kucherov, Vanessa Miranda-López, Maxim Deryabin, Inna Dvoryaninova, Gleb Radchenko. Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing. Proceedings of UCC’17 - 1st International Workshop on Uncertainty in Cloud Computing, 28th International Conference on Database and Expert Systems Applications (DEXA’17) Lyon, France. August 28 - 31, 2017, p. 137-141, IEEE, 2017. 2378-3915/17 , DOI 10.1109/DEXA.2017.44 (PDF 118KB) http://ieeexplore.ieee.org/document/8049702/   WOS:000426078300028 9. Mikhail Babenko, Nikolay Chervyakov, Andrei Tchernykh, Nikolay Kucherov, Maria Shabalina, Irina Vashchenko, Gleb Radchenko, Daniil Murga. Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form. Proceedings of UCC’17 - 1st International Workshop on Uncertainty in Cloud Computing,  28th International Conference on Database and Expert Systems Applications (DEXA’17) Lyon, France August 28 - 31, 2017 p.147-151, IEEE, 2378-3915, 2017, DOI 10.1109/DEXA.2017.46 (PDF 136KB) http://ieeexplore.ieee.org/document/8049704/  WOS:000426078300030 10. Nikolai Chervyakov, Mikhail Babenko, Andrei Tchernykh, Inna Dvoryaninova, Nikolay Kucherov, Towards Reliable Low Cost Distributed Storage in Multi-clouds. SIBCON-2017 - IEEE International Siberian Conference on Control and Communications. Astana, Kazakhstan. June 29–30, 2017 , IEEE, ISSN: 2380-6516, DOI: 10.1109/SIBCON.2017.7998476, http://ieeexplore.ieee.org/document/7998476/ (PDF 581KB) 11. Mikhail Babenko, Andrei Tchernykh, Nikolay Chervyakov, Daniil Murga, Inna Dvoryaninova, Vanessa Miranda-López, Nikolay Kucherov. Multi-Clouds Workload Distribution for the Secure and Reliable Storage of Data under Uncertainty. Baikal 2017 - XVII International School-Seminar "Optimization Methods and their Applications". July 31, 2017 - August 06, 2017, Irkutsk - Baikal, Russia (abstaract, PDF 117KB) 12. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Alexander Feoktistov, Igor Bychkov, Loic Didelot. Load-Aware Strategies for Cloud-based VoIP Optimization with VM Startup Prediction. PDCO 2017 - 7th IEEE Workshop Parallel/Distributed Computing and Optimization, as part of the IPDPS 2017 - 31st IEEE/ACM Int. Parallel and Distributed Processing, Orlando, Florida, USA, May 29-June 2, 2017. IEEE, DOI: 10.1109/IPDPSW.2017.73 (PDF 286KB) http://ieeexplore.ieee.org/document/7965084/  (CORE Rank A) 13. David Peña, Andrei Tchernykh, Sergio Nesmachnow, Renzo Massobrio, Alexander Feoktistov, Igor Bychkov. Multiobjective Vehicle-type Scheduling in Urban Public Transport. PDCO 2017 - 7th IEEE Workshop Parallel / Distributed Computing and Optimization, as part of the IPDPS 2017 - 31st IEEE/ACM Int. Parallel and Distributed Processing, Orlando, Florida, USA, May 29-June 2, 2017 IEEE, DOI: 10.1109/IPDPSW.2017.80 (PDF 895KB)  ieeexplore.ieee.org/document/7965085/  (CORE Rank A) 14. Sergio Nesmachnow, Javier Alsina, Santiago Iturriaga, Bernabe Dorronsoro, Andrei Tchernykh. Evolutionary planning for IaaS virtual brokering in the cloud. MIC 2017 -12th Metaheuristics International Conference and  MAEB 2017 - XII Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, Barcelona, Spain, July 4-7, 2017 pp. 83-92, ISBN: 978-84-697-4275-1, (PDF 3376KB) 15. Alexander Feoktistov, Andrey Tchernykh, Sergey Gorsky, Roman Kostromin. Knowledge Elicitation in Multi-Agent System for Distributed Computing Management. MIPRO CIS 2017 - Intelligent Systems. MIPRO 2017 - 40th Jubilee International Convention on Information and Communication Technology, Electronics and Microelectronics. Opatija, Croatia (22–26 May 2017) p. 1350-1355, IEEE, 2017. https://doi.org/10.23919/MIPRO.2017.7973595, ISSN 1847-3938, ISBN 978-953-233-093-9  (PDF 186KB) http://ieeexplore.ieee.org/document/7973595/ WOS:000426903800199 16. A. Tchernykh, M. Babenko, N. Chervyakov, V. Miranda-López, J.M. Cortés-Mendoza, O. Dorofeeva, Z. DU. Experimental Analysis of Secured Distributed Cloud Data Storage. Abstract proceeding book of ECBA 2017 - 23rd International Conference on “Engineering & Technology, Computer, Basic & Applied Sciences” Shanghai, China, Vol. 415, issue 23, p.11, 2017. ISBN: 978-969- 683-186-0 (PDF 552B) 17. Igor Bychkov, Gennady Oparin, Andrey Tchernykh, Alexander Feoktistov, Vera Bogdanova, Yury Dyadkin,  and Olga Basharina. Simulation modeling in heterogeneous distributed computing environments to support decisions making in warehouse logistics. Proceedings of the ITNT 2017 - Third International Conference on Information Technology and Nanotechnology. Mathematical Modeling. Procedia Engineering 201 (2017) 524–533 Elsevier. https://doi.org/10.1016/j.proeng.2017.09.647 (PDF 971KB) 18. Igor Bychkov, Gennady Oparin, Andrei Tchernykh, Alexander Feoktistov,Vera Bogdanova , S Gorsky. Conceptual Model of Problem-Oriented Heterogeneous Distributed Computing Environment with Multi-Agent Management. INTELS 2016 - 12th International Symposium on Intelligent Systems 2016. October 5-7, 2016, Moscow, Russia. Procedia Computer Science, vol. 103, pp. 162-167. Elsevier, 2017, ISSN: 1877-0509  http://dx.doi.org/10.1016/j.procs.2017.01.043, http://www.sciencedirect.com/science/article/pii/S1877050917300443, WOS:000398020500022 19. Nikolay Chervyakov, Mikhail Babenko, Andrei Tchernykh, V. Kuchukov, M. Deryabin and N. Kuchukova. Fast Modular Multiplication Execution in Residue Number System. IT&MQ&IS - 2016 IEEE Conference on Quality Management, Transport and Information Security, Information Technologies. Nalchik, p. Elbrus, Russia Oct. 04 - 11, IEEE, 2016 (PDF 242 KB) DOI: 10.1109/ITMQIS.2016.7751894, Web of Science:000390760700008. http://ieeexplore.ieee.org/document/7751894/ 20. Germán Schnyder, Sergio Nesmachnow, Gonzalo Tancredi, Andrei Tchernykh. Scheduling Algorithms for Distributed Cosmic Ray Detection Using Apache Mesos. In: Barrios Hernández C., Gitler I., Klapp J. (eds) High Performance Computing. CARLA 2016. Communications in Computer and Information Science, vol 697. Springer. vol. 697.  p. 359-373, 2017 (PDF 142KB) https://link.springer.com/chapter/10.1007/978-3-319-57972-6_27. DOI: 10.1007/978-3-319-57972-6_27 21. Nestor Rocchetti, Miguel Da Silva, Sergio Nesmachnow, Andrei Tchernykh. Penalty Scheduling Policy Applying User Estimates and Aging for Supercomputing Centers. In: Barrios Hernández C., Gitler I., Klapp J. (eds) High Performance Computing. CARLA 2016. Communications in Computer and Information Science, vol. 697. p. 49-60, 2017 (PDF 325KB) https://link.springer.com/chapter/10.1007/978-3-319-57972-6_4, DOI: 10.1007/978-3-319-57972-6_4 22. Kirill Borodulin, Gleb Radchenko, Ivan Lyzhin, Andrei Tchernykh. Computational Workflows Solutions for Smart Manufacturing Innovation. ISUM 2017 - 8th International Supercomputing Conference in Mexico,  Guadalajara, Jalisco, México. (February 27 - March 3, 2017 ) 23. Luis Angel Galaviz Alejos, Andrei Tchernykh, Fermín Armenta. Bi-Objective Heterogeneous Consolidation for CPU and Memory Intensive Applications. ISUM 2017 - 8th International Supercomputing Conference in Mexico,  Guadalajara, Jalisco, México. (February 27 - March 3, 2017 ) 24. David Peña, Andrei Tchernykh, Sergio Nesmachnow, Renzo Massobrio, Alexander Yu. Drozdov, Sergey N. Garichev. Multiobjective Optimization of Urban Public Transport Using MOCell. ISUM 2017 - 8th International Supercomputing Conference in Mexico,  Guadalajara, Jalisco, México. (February 27 - March 3, 2017 ) 25. Nikolay Chervyakov, Andrei Tchernykh, Mikhail Babenko, Maxim Deryabin, Nikolay Kucherov, Daniil Murga and Svetlana Strekozova. Applications of Residue Number System to Cloud Computing. ISUM 2017 - 8th International Supercomputing Conference in Mexico,  Guadalajara, Jalisco, México. (February 27 - March 3, 2017 ) 26. Maxim Deryabin, Nikolay Chervyakov, Andrei Tchernykh, Mikhail Babenko, and Mariia Shabalina. High Performance Parallel Computing in Residue Number System. ISUM 2017 - 8th International Supercomputing Conference in Mexico,  Guadalajara, Jalisco, México. (February 27 - March 3, 2017 ) 27. Anton Nazarov, Nikolay Chervyakov, Andrei Tchernykh, Mikhail Babenko. Reliability Improvement of Information Systems by Residue Number System Code . ISUM 2017 - 8th International Supercomputing Conference in Mexico,  Guadalajara, Jalisco, México. (February 27 - March 3, 2017 ) 28. Manuel Combarro, Andrei Tchernykh, Dzimitri Kliazovich, Alexander Drozdov, Gleb Radchenko. Computing and Data Consolidation for Energy Optimization in Three-Tier Data Centers. ISUM 2017 - 8th International Supercomputing Conference in Mexico,  Guadalajara, Jalisco, México. (February 27 - March 3, 2017 ) 2016 1. Nikolay Chervyakov, Mikhail Babenko, Andrei Tchernykh, Anton Nazarov, Anastasiia Garianina.  The Fast Algorithm for Number Comparing in Three-Modular RNS. En&T 2016 - IEEE International conference Engineering & Telecommunications, Moscow, Russia, 2016,  pp. 26-28  IEEE DOI: 10.1109/EnT.2016.014 . ISBN 978-1-5090-4553-2, 978-1-5090-4552-5  (PDF 294 KB) http://ieeexplore.ieee.org/document/7810748/. WOS:000404436600006 2. David Peña, Andrei Tchernykh, Sergio Nesmachnow, Renzo Massobrio, Alexander Yu. Drozdov, Sergey N. Garichev. Multiobjective vehicle type and size scheduling problem in urban public transport using MOCell. En&T 2016 - IEEE International conference Engineering & Telecommunications, Moscow, Russia,  2016, pp. 110- 113.  DOI: 10.1109/EnT.2016.032,  ISBN 978-1-5090-4553-2, 978-1-5090-4552-5  (PDF 294 KB) http://ieeexplore.ieee.org/document/7810766/. WOS:000404436600024 3. Manuel Combarro, Andrei Tchernykh, Dzmitry Kliazovich, Alexander Drozdov, Gleb Radchenko. Energy-Aware Scheduling with Computing and Data Consolidation Balance in 3-tier Data Center. En&T 2016 - IEEE International conference Engineering & Telecommunications, Moscow, Russia,  2016, pp. 29-33.doi: 10.1109/EnT.2016.015. ISBN 978-1-5090-4553-2, 978-1-5090-4552-5, IEEE (PDF 431 KB) http://ieeexplore.ieee.org/document/7810749/. WOS:000404436600007 4. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Alexander Yu. Drozdov, Loic Didelot. Robust Cloud VoIP Scheduling under VMs Startup Time Delay Uncertainty. CloudAM 2016 - Fifth International Workshop on Clouds and (eScience) Applications Management, 9th IEEE/ACM Utility and Cloud Computing (UCC). UCC '16 Proceedings of the 9th International Conference on Utility and Cloud Computing, Pages 234-239. Shanghai, China — December 06 - 09, 2016 ACM New York, NY, USA ©2016 (PDF 190 KB) ISBN: 978-1-4503-4616-0. doi:10.1145/2996890.3007865, https://dl.acm.org/citation.cfm?doid=2996890.3007865. WOS:000405576700030 5. Javier Alsina, Santiago Iturriaga, Sergio   Nesmachnow, Andrei Tchernykh, Bernabe Dorronsoro. Virtual machine planning for cloud brokering considering geolocation and data transfer. CloudCom 2016 - The 8th IEEE International Conference on Cloud Computing Technology and Science. Luxembourg,  December 12-15, 2016  IEEE,  pages 1–8, (PDF 393 KB) ISSN: 2330-2186, DOI: 10.1109/CloudCom.2016.0062 (http://ieeexplore.ieee.org/abstract/document/7830703/). WOS:000398536300046,  (PDF 588KB) http://ieeexplore.ieee.org/document/7515742/. WOS:000382529800079 (CORE Rank A) 6. Vanessa Miranda, Andrei Tchernykh, Dzmitry Kliazovich. Dynamic Communication-Aware Scheduling with Uncertainty of Workflow Applications in Clouds.  In book: “High Performance Computer Applications”. Gitler, Isidoro, Klapp, Jaime (Eds.) . Communications in Computer and Information Science. Vol. 595. p. 169-187. 2016, Springer. ISBN 978-3-319-32243-8, DOI: 10.1007/978-3-319-32243-8_12  (PDF 588KB) https://link.springer.com/chapter/10.1007%2F978-3-319-32243-8_12. WOS:000376262000012 7. Godofredo R. Garay, Andrei Tchernykh, Alexander Yu. Drozdov, Sergey V. Novikov, Victor E. Vladislavlev. A VHDL-based Modeling of Network Interface Card Buffers: Design and Teaching Methodology. “High Performance Computer Applications” Eds: Isidoro Gitler, Jaime Klapp. Communications in Computer and Information Science.  Vol 595, p. 250-273. 2016, Springer DOI: 10.1007/978-3-319-32243-8_18, ISBN 978-3-319-32243-8 (PDF 826KB) https://link.springer.com/chapter/10.1007%2F978-3-319-32243-8_18. WOS:000376262000018 8. S. Iturriaga, S. Nesmachnow, A. Tchernykh and B. Dorronsoro, "Multiobjective Workflow Scheduling in a Federation of Heterogeneous Green-Powered Data Centers," 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Cartagena, 2016, pp. 596-599, (PDF) doi: 10.1109/CCGrid.2016.34 http://doi.ieeecomputersociety.org/10.1109/CCGrid.2016.34 9. Sergio Nesmachnow, Santiago Iturriaga, Bernabe Dorronsoro, Andrei Tchernykh. Multiobjective energy-aware workflow scheduling in distributed datacenters.  In book: “High Performance Computer Applications” Eds: Isidoro Gitler, Jaime Klapp. Communications in Computer and Information Science. Springer. Vol 595, p. 79-93. 2016, DOI: 10.1007/978-3-319-32243-8_5, ISBN 978-3-319-32243-8  (PDF 327KB) https://link.springer.com/chapter/10.1007%2F978-3-319-32243-8_5. WOS:000376262000005 10. Fermin A. Armenta-Cano, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Anastasia Drozdova. Energy Consumption Model for Scheduling Applications with Resource Contention. ISUM 2016 - 7th International Supercomputing Conference in Mexico,  Puebla de Zaragoza, Puebla, México. (April 11-15, 2016)  11. Nikolay Chervyakov, Mikhail Babenko, Andrei Tchernykh, Nikolay Kucherov. Big Data Deployment in Cloud Environment for Fast Analytics with Confidentiality and Reliability. ISUM 2016 - 7th International Supercomputing Conference in Mexico,  Puebla de Zaragoza, Puebla, México. (April 11-15, 2016)  12. Nikolay Chervyakov, Mikhail Babenko, Andrei Tchernykh, Nikolay Kucherov. Reliable Storage System in the Multicloud Environment based on Secret Sharing and Residue Number. ISUM 2016 - 7th International Supercomputing Conference in Mexico,  Puebla de Zaragoza, Puebla, México. (April 11-15, 2016) 13. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Alexander Yu. Drozdov, Loic Didelot. Cloud based VoIP Service Optimization with VM Startup Time Delay. ISUM 2016 - 7th International Supercomputing Conference in Mexico,  Puebla de Zaragoza, Puebla, México. (April 11-15, 2016) 14. Evgeny Ivashko, Natalia Nikitina, Andrei Tchernykh, Sergio Nesmachnow. Congestion Game Scheduling for Virtual Drug Screening Optimization in a Desktop Grid. ISUM 2016 - 7th International Supercomputing Conference in Mexico,  Puebla de Zaragoza, Puebla, México. (April 11-15, 2016) 15. Nestor Rocchetti , Miguel Da Silva, Sergio Nesmachnow, Andrei Tchernykh. Penalty Scheduling Policy based on User Estimates for Supercomputing Centers. ISUM 2016 - 7th International Supercomputing Conference in Mexico,  Puebla de Zaragoza, Puebla, México. (April 11-15, 2016) 2015 1. Godofredo R. Garay, Andrei Tchernykh, A. Yu. Drozdov. An Approach for the Performance Evaluation of Multi-Tier Cloud Applications. En&T 2015 - International conference Engineering & Telecommunications, Moscow, Russia. November 18-19, 2015. IEEE Conference Publications, p. 63-66, 2015.  DOI: 10.1109/EnT.2015.19 (PDF) http://ieeexplore.ieee.org/document/7420895/. WOS:000378941900015 2. Ana-Maria Simionovici, Alexandru Adrian Tantar, Pascal Bouvry, Andrei Tchernykh, Jorge M. Cortes-Mendoza and Loic Didelot- VoIP Traffic Modelling using Gaussian Mixture Models, Gaussian Processes and Interactive Particle Algorithms. CCSNA’15 - The Fourth IEEE International Workshop on Cloud Computing Systems, Networks, and Applications 2015. IEEE Global Communications Conference (GLOBECOM 2015) San Diego, CA, USA, 6-10 December, 2015  IEEE, p. 1 - 6, DOI: 10.1109/GLOCOMW.2015.7414113 (PDF) http://ieeexplore.ieee.org/document/7414113/. WOS:000380457400156 3. Marcos Barreto, Sergio Nesmachnow, Andrei Tchernykh, Arutyun Avetisyan. RandMR: Towards Large Scale Optimization on Clouds: a Map-Reduce 3-SAT solver over Hadoop. International conference “Cloud computing. Education. Research. Development”, CCERD 2015 - The 6th International Conference “Cloud Computing. Education. Research. Development". Moscow, Russia, December 3-4th., 2015. 4. Andrei  Tchernykh, Uwe Schwiegelsohn, Vassil Alexandrov, El-ghazali Talbi. Uncertainty in clouds: challenges of efficient resource provisioning. Proceedings of the RuSCDays 2015 - 1st Russian Conference on Supercomputing, Moscow, Russia, September 28-29, 2015. Edited by: Vladimir Voevodin, Sergey Sobolev, CEUR Workshop Proceedings-Series: Vol-1482, p. 698-699, 2015 ISSN: 16130073 (PDF) http://ceur-ws.org/Vol-1482/ 5. Fermin Armenta-Cano, Andrei  Tchernykh, J. M. Cortés-Mendoza, Ramin Yahyapour, A. Yu. Drozdov, Pascal Bouvry, Dzmitry Kliazovich, Arutyun Avetisyan. Heterogeneous Job Consolidation for Power Aware Scheduling with Quality of Service. Proceedings of the RuSCDays 2015 - 1st Russian Conference on Supercomputing, Moscow, Russia, September 28-29, 2015. Edited by: Vladimir Voevodin, Sergey Sobolev, CEUR-WS: Vol-1482, p. 687-697, 2015 ISSN: 16130073 (PDF)  http://ceur-ws.org/Vol-1482/ 6. Jorge Mario Cortés-Mendoza, Andrei Tchernykh, A. Yu. Drozdov, Pascal Bouvry, Ana-Maria Simionovici, Arutyun Avetisyan. Distributed Adaptive VoIP Load Balancing in Hybrid Clouds. Proceedings of the 1st Russian Conference on Supercomputing (RuSCDays 2015), Moscow, Russia, September 28-29, 2015. Edited by: Vladimir Voevodin, Sergey Sobolev, CEUR-WS: Vol-1482, p. 676-686, 2015 ISSN: 16130073 (PDF) http://ceur-ws.org/Vol-1482/ 7. Andrei Tchernykh. From Static Scheduling Towards Understanding Uncertainty. In: Henri Casanova and Ewa Deelman and Yves Robert and Uwe Schwiegelshohn (eds) “Algorithms and Scheduling Techniques to Manage Resilience and Power Consumption in Distributed Systems (Dagstuhl Seminar 15281)”, p. 19, Dagstuhl Reports, Volume 5, Issue 7, 2016. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, doi: dx.doi.org/10.4230/DagRep.5.7.1 (PDF abstract, slides). 8. Stephan Schlagkamp, Uwe Schwiegelshohn, Andrei Tchernykh. Hybrid clouds: beyond classical buy-or-lease decisions. In: Henri Casanova and Ewa Deelman and Yves Robert and Uwe Schwiegelshohn (eds) “Algorithms and Scheduling Techniques to Manage Resilience and Power Consumption in Distributed Systems (Dagstuhl Seminar 15281)”, p. 18, Dagstuhl Reports, Volume 5, Issue 7, 2016, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, doi: dx.doi.org/10.4230/DagRep.5.7.1 (PDF abstract). 9. Andrei Tchernykh, Uwe Schwiegelsohn, Vassil Alexandrov, El-ghazali Talbi. Towards Understanding Uncertainty in Cloud Computing Resource Provisioning. SPU’2015 - Solving Problems with Uncertainties (3rd Workshop). 15th International Conference on Computational Science (ICCS 2015), Reykjavík, Iceland, June 1- 3, 2015. Procedia Computer Science, Elsevier, Volume 51, Pages 1772–1781, 2015, DOI: dx.doi.org/10.1016/j.procs.2015.05.387. WOS:000373939100180 (CORE Rank A)   10. Santiago Iturriaga, Bernabe Dorronsoro, Andrei Tchernykh, Sergio Nesmachnow. Un enfoque multiobjetivo para la planificacion multinivel de lotes de trabajos en sistemas distribuidos. Proceedings of MAEB 2015 - X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. Mérida-Almendralejo, Eds. Francisco Chávez de la O, Rafael M. Luque-Baena, Francisco Luna, Francisco Fernández de Vega. Centro Universitario de Mérida, Universidad de Extremadura. pp 157-164, 2015. ISBN: 978-84-697-2150-6 (PDF) 11. Fabian N. Murrieta-Rico; Andrei Tchernykh; Julio C. Rodriguez-Quiñonez; Daniel Hernandez-Balbuena; Vitalii Petranovskii; Oscar Raymond-Herrera; Juan Ivan Nieto Hipolito; Vladimir M. Kartashov; Oleg Sergiyenko; Wendy Flores-Fuentes;Vera Tyrsa. Rational approximations principle for frequency shifts measurement in frequency domain sensors. Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE, p. 226-231, 2015. DOI: 10.1109/IECON.2015.7392103. (PDF) http://ieeexplore.ieee.org/document/7392103/. WOS:000382950700052 2014 1. Blazewicz, J. Bouvry, P. Musial, J. Danoy, G.Drozdowski, M. Kendall, G. Khan, S.U., Kovalyov, M.Y., Pecero, J., Pierson, J.-M., Seredynski, F., Sterna, M., Tchernykh, A., Trystram, D., Wang, L., Zomaya, A.Y. Message from the BusinessClouds 2014 Workshop Chairs UIC-ATC-ScalCom 2014. The International Workshop on New Models, Algorithms and Simulation Tools for Cloud Computing, Cloud Brokering, Internet Shopping, and e-Commerce Trading (BusinessClouds 2014). Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom). Denpasar, Bali; Indonesia; 9-12 December 2014; IEEE Computer Society Washington, DC, USA ©2014. Pages xxxiv-xxxv. ISBN: 978-147997646-1. DOI: 10.1109/UIC-ATC-ScalCom.2014.155 (PDF) http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7306109 2. Andrei Tchernykh, Jorge Mario Cortés-Mendoza, Johnatan E Pecero, Pascal Bouvry and Dzmitry Kliazovich. Adaptive Energy Efficient Distributed VoIP Load Balancing in Federated   Infrastructure. IEEE CloudNet'14 - The 2014 3rd IEEE International Conference on Cloud Networking. October 2014 pp.27-32, 8-10 Oct. 2014. DOI: 10.1109/CloudNet.2014.6968964 (PDF) http://ieeexplore.ieee.org/document/6968964/. WOS:000411486400005 3. Andrei Tchernykh, Luz Lozano, Uwe Schwiegelshohn, Pascal Bouvry, Johnatan E Pecero and Sergio Nesmachnow. Bi-Objective Online Scheduling with Quality of Service for IaaS Clouds. IEEE CloudNet'14 - The 2014 3rd IEEE International Conference on Cloud Networking. October 2014, Page(s): 307 - 312 DOI: 10.1109/CloudNet.2014.6969013  (PDF) http://ieeexplore.ieee.org/document/6969013/. WOS:000411486400054 4. Andrei  Tchernykh, L. Lozano, U. Schwiegelshohn, P. Bouvry, J. E. Pecero, S. Nesmachnow. Energy-Aware Online Scheduling: Ensuring Quality of Service for IaaS Clouds. In Proc. of The International Conference on High Performance Computing & Simulation (HPCS 2014). July 21–25, 2014. Bologna, Italy. Bologna, Italy. IEEE pp. 911-918, 2014 DOI: 10.1109/HPCSim.2014.6903786 (PDF) http://ieeexplore.ieee.org/document/6903786/. WOS:000361141700123 (CORE Rank B) 5. Andrei Tchernykh. Multi criteria optimization with Quality of Service in Cloud Computing . CLOUDCOMS - Eastern Europe-Luxembourg Workshop on Cloud Computing Communications, Security and Services, Luxembourg - October 8-10, 2014 With The 3rd IEEE International Conference on Cloud Networking (IEEE CloudNet 2014) 6. Fermín Alberto Armenta-Cano, Andrei Tchernykh, Ramin Yahyapour, Jaroslaw Nabrzyski. Operational Cost Optimization of Virtual Machine Provisioning in Federated IaaS Clouds. ISUM 2014 - 5° International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) Vol. 5, pp. 48-57, 2015 (PDF) 7. Violeta Medina, Andrei Tchernykh, Antonio Ramos Paz. A TCP/IP Replication with a Fault Tolerance Scheme for High Availability. ISUM 2014 - 5° International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) Vol. 5, pp. 132-144, 2015 (PDF) 8. Evgeniy Kravtsunov, Timur Mustafin, Andrei Tchernykh, Valery Perekatov, Alexander Drozdov. Application of an Adaptive Inversion Frequencies Algorithm for Router Bandwidth Improvement. ISUM 2014 - 5° International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) Vol. 5, pp. 38-46, 2015 (PDF) 9. Carlos Barba Jimenez, Raúl V. Ramírez V., Andrei Tchernykh. Model of Video on Demand Service Provisioning on Multiple Third Party Cloud Storage Services. ISUM 2014 - 5° International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) Vol. 5, pp. 58-71, 2015 (PDF) 10. Marco A. Peña-Luna, Adán Hirales Carbajal, Andrey Tchernykh, Miguel Salinas Yañez. Analysis of a deterministic timetabling strategy for the generation of university timetables. ISUM 2014 - 5° International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) Vol. 5, pp. 176-190, 2015 (PDF) 11. Godofredo R. Garay, Julio Ortega, Antonio F. Díaz, Andrei Tchernykh. A VHDL-based modelling of NIC buffers. ISUM 2014 - 5° International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) 12. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Johnatan Pecero, Pascal Bouvry, Laura Cruz-Reyes. Distributed VoIP Load Balancing in Cloud Computing. ISUM 2014 - 5° International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) 13. Vanessa Miranda, Andrei Tchernykh, Dzmitry Kliazovich, Johnatan Pecero, Pascal Bouvry. Communication-Aware Scheduling of Workflow Applications in SaaS Federated Clouds. ISUM 2014 - 5° International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) 14. BDBN2 - Big Data, Big Network 2 . Mexico-California Research Collaboration Workshop, Calit2's Qualcomm Institute, UC San Diego, February 10-11, 2014 15. Andrei Tchernykh. Online Scheduling for Cloud Computing and Different Service Levels and Quality of Service. Aussois 2014. New Challenges in Scheduling Theory. Centre CNRS "Paul-Langevin", Aussois, France. March 31 - April 4, 2014 2013 1. Dzmitry Kliazovich, Johnatan E. Pecero, Andrei Tchernykh, Pascal Bouvry, Samee U. Khan, and Albert Y. Zomaya. CA-DAG: Communication-Aware Directed Acyclic Graphs for Modeling Cloud Computing Applications. IEEE CLOUD 2013 - IEEE 6th International Conference on Cloud Computing. p. 277– 284, June 27-July 2, 2013, Santa Clara Marriott, CA, USA, DOI: 10.1109/CLOUD.2013.40 (PDF) http://ieeexplore.ieee.org/document/6676705/. WOS:000332488800035 2. Zhihui Du, Ramin Yahyapour, Yuxiong He, Nectarios Koziris, Bilha Mendelson, Veronika Sonigo, Achim Streit, Andrei Tchernykh. Topic 3: Scheduling and Load Balancing. Introduction. Proceedings of Euro-Par 2013 Parallel Processing. Lecture Notes in Computer Science, Volume 8097, 2013, p 65, Springer-Verlag Berlin Heidelberg, 19th International Conference, Aachen, Germany, August 26-30, 2013. IF: 0.402, Q4, DOI: 10.1007/978-3-642-40047-6_9. ISBN 978-3-642-40046-9 (Invited paper). https://link.springer.com/chapter/10.1007/978-3-642-40047-6_9, WOS:000341243100009   (CORE Rank A) 3. Andrei  Tchernykh, J. Lozano Rizk. Big Data-aware Scheduling with Uncertainty in Cloud Computing. BDBN1 - First Big Data, Big Network Workshop.  CENIC - Corporation for Education Network Initiatives in California,  California Institute of Telecommunications and Information Technology (Calit2),  CICESE, , October 10-11, 2013 4. Victor Hugo Yaurima Basaldua, Andrei Tchernykh, Moises Torres Martinez. Análisis Comparativo de Algoritmos Genéticos Aplicados a Calendarización de Trabajos en un Grid Computacional. 13th International Congress on Computer Science (CORE 2013), Mexico City, November 27-29, 2013. © Instituto Politécnico Nacional, Mexico 2012 1. Uwe Schwiegelshohn, Andrei Tchernykh. Online Scheduling for Cloud Computing and Different Service Levels. IPDPS 2012, IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum, pp. 1067-1074, 2012, IEEE, DOI: 10.1109/IPDPSW.2012.130 (PDF) http://ieeexplore.ieee.org/document/6270756/. WOS:000309409400133 (CORE Rank A) 2. Aritz Barrondo, Andrei Tchernykh, Elisa Schaeffer and Johnatan Pecero. Energy Efficiency of Knowledge-Free Scheduling in Peer-to-Peer Desktop Grids. 2012 Workshop on Optimization Issues in Energy Efficient Distributed Systems (OPTIM 2012). Int. Conference on High Performance Computing & Simulation (HPCS 2012), July 2 - July 6, 2012, Madrid, Spain, IEEE, pp. 105-111, 2012  978-1-4673-2362-8/12/  DOI: 10.1109/HPCSim.2012.6266898 (PDF) http://ieeexplore.ieee.org/document/6266898/ (CORE Rank B) 3. Victor Hugo Yaurima-Basaldúa, Andrei Tchernykh, Yair Castro-García, Victor Manuel Villagómez-Ramos, Larisa Burtseva. Genetic algorithm calibration for two objective scheduling parallel jobs on hierarchical Grids. In Parallel Processing and Applied Mathematics, Wyrzykowski et al. (Eds.). 9TH International Conference on Parallel Processing and Applied Mathematics - PPAM 2011. September 11-14, 2011, Torun, Poland, Lecture Notes in Computer Science, 2012, Volume 7204/2012, pp. 61-70, Springer-Verlag, 2012. IF: 0.402, Q4. DOI: 10.1007/978-3-642-31500-8_7 (PDF). WOS:000312988600007 (CORE Rank C) 4. Jorge M. Cortés-Mendoza, Andrei Tchernykh. Optimización Extrema Generalizada para la Calendarización de Trabajos Paralelos en Sistemas GRID de Dos Niveles. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 5. Juan M. Ramírez-Alcaraz, Andrei Tchernykh, Carlos Flores-Cortes y Antonio Guerrero-Ibáñez. IMPACTO DEL ALGORITMO DE CALENDARIZACIÓN LOCAL EN LA CALENDARIZACIÓN EN LÍNEA DE TRABAJOS PARALELOS EN UN GRID JERÁRQUICO. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 6. Victor Hugo Yaurima Basaldúa, Andrei Tchernykh. ALGORITMOS GENÉTICOS APLICADOS A UN GRID JERÁRQUICO DE DOS ETAPAS. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 7. José Luis González García, Ramin Yahyapour and Andrei Tchernykh. LOAD BALANCING FOR PARALLEL COMPUTATIONS WITH THE FINITE ELEMENT METHOD. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 8. Anuar Lezama-Barquet, Andrei Tchernykh and Uwe Schwiegelshohn. EXPERIMENTAL ANALYSIS OF SERVICE LEVEL AGREEMENTS IN INFRASTRUCTURE AS A SERVICE CLOUDS. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 9. Adán Hirales Carbajal, Andrei Tchernykh, Ramin Yahyapour. Scheduling of Multiple Workflows without labeling information on a Homogeneous Computational Grid. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 10. Alonso Aragón Ayala, Andrei Tchernykh, Ramin Yahyapour and Raúl Ramírez Velarde. ENERGY-AWARE ONLINE SCHEDULING IN HIERARCHICAL GRIDS. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 11. Ariel Quezada-Pina, Dr. Andrei Tchernykh. One layer Online Scheduling Strategies for Grid. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 12. Aritz Barrondo, Andrei Tchernykh, Elisa Schaeffer y Johnatan E. Pecero. ENERGY-AWARE KNOWLEDGE-FREE SCHEDULING IN PEER-TO-PEER GRIDS. ISUM 2012 3rd International Supercomputing Conference in Mexico 2012, Guanajuato, México (March 13-16, 2012) 13. Alonso Aragón Ayala, Andrei Tchernykh, Ramin Yahyapour and Raúl Ramírez Velarde.. Energy-aware online scheduling in hierarchical grids. ENU-HPC 2012 - Primer Encuentro Nacional de Usuarios de Cómputo de Alto Desempeño. Campus Celaya-Salvatierra, Universidad de Guanajuato, Celaya Guanajuato. 14, 15, 16 de Mayo, 2012 14. Adán Hirales-Carbajal, Andrei Tchernykh, Alfredo Cristóbal Salas. Workflow models, scientific applications, and challenges for HPC. ENU-HPC 2012 - Primer Encuentro Nacional de Usuarios de Cómputo de Alto Desempeño. Campus Celaya-Salvatierra, Universidad de Guanajuato, Celaya Guanajuato. 14, 15, 16 de Mayo, 2012 15. Aritz Barrondo, Andrei Tchernykh, Elisa Schaeffer & Johnatan E. Pecero. Energy Efficiency in Peer to Peer grid. ENU-HPC 2012 - Primer Encuentro Nacional de Usuarios de Cómputo de Alto Desempeño. Campus Celaya-Salvatierra, Universidad de Guanajuato, Celaya Guanajuato. 14, 15, 16 de Mayo, 2012 16. Anuar Lezama Barquet, Andrei Tchernykh, Uwe Schwiegelshohn, Ramin Yahyapour, Luz M. Lozano Guzmán. Experimental Analysis of HPC-Infrastructure as a Service Clouds . ENU-HPC 2012 - Primer Encuentro Nacional de Usuarios de Cómputo de Alto Desempeño. Campus Celaya-Salvatierra, Universidad de Guanajuato, Celaya Guanajuato. 14, 15, 16 de Mayo, 2012 17. Violeta Medina Rios, Juan Manuel García, Andrei Tchernykh. TCP/IP Replication Schemes for High Availability in Data Grid. ENU-HPC 2012 - Primer Encuentro Nacional de Usuarios de Cómputo de Alto Desempeño. Campus Celaya-Salvatierra, Universidad de Guanajuato, Celaya Guanajuato. 14, 15, 16 de Mayo, 2012 2010 1. Hirales-Carbajal, A.; Tchernykh, Andrei ; Roblitz, T.; Yahyapour, R.; , "A Grid simulation framework to study advance scheduling strategies for complex workflow applications," Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on , vol., no., pp.1-8, 2010, DOI: 10.1109/IPDPSW.2010.5470918 . Print ISBN: 978-1-4244-6533-0, Atlanta, Georgia. USA (PDF) http://ieeexplore.ieee.org/document/5470918/ (CORE Rank A) 2. José Luis González García, Andrei Tchernykh Ramin Yahyapour. Evaluación Experimental de Estrategias de Calendarización en Grid Computacional Utilizando un Esquema de Admisibilidad. ISUM 2010 1st International Supercomputing Conference in Mexico 2010, Guadalajara Jalisco , México (March 2-5, 2010) (PDF) 3. Yair Castro García, Andrei Tchernykh, Victor Yaurima. Calendarizacion multi-criterio en grid computacional de dos niveles con algoritmos genéticos.  ISUM 2010 1st International Supercomputing Conference in Mexico 2010, Guadalajara Jalisco , México (March 2-5, 2010) (PDF) 4. Ariel Quezada-Pina, Andrei Tchernykh. Análisis Experimental de un Algoritmo de Calendarización en Línea para Grid con Modelo Decentralizado. ISUM 2010 1st International Supercomputing Conference in Mexico 2010, Guadalajara Jalisco , México (March 2-5, 2010) (PDF) 5. Adan Hirales, José-Luis González-García, Andrei Tchernykh. Workload Generation for Trace Based Grid Simulations. ISUM 2010 1st International Supercomputing Conference in Mexico 2010, Guadalajara Jalisco , México (March 2-5, 2010) (PDF) 2009 1. José Luis González García. Evaluación Experimental de Estrategias de Calendarización en Grid Computacional Utilizando un Esquema de Admisibilidad. Memorias del ANIEI-UABC 2009 - XXII Congreso Nacional y VIII Congreso Internacional de Informática y Computación de la Asociación Nacional de Instituciones de Educación en Tecnologías de la Información, A.C. (ANIEI) 2. Ricardo Garibay Martínez, Andrei Tchernykh Minimización del Costo de Re-asignación en Sistemas Distribuidos Dinámicos de Tiempo Real: Arreglo Lineal de Procesadores. Memorias del ANIEI-UABC 2009 - XXII Congreso Nacional y VIII Congreso Internacional de Informática y Computación de la Asociación Nacional de Instituciones de Educación en Tecnologías de la Información, A.C. (ANIEI) 3. Adán  Hirales Carvajal, Andrei Tchernykh Generación de Cargas de Trabajo para Simulaciones Grid basadas en Rastreos de Cargas de Trabajo. Memorias del ANIEI-UABC 2009 - XXII Congreso Nacional y VIII Congreso Internacional de Informática y Computación de la Asociación Nacional de Instituciones de Educación en Tecnologías de la Información, A.C. (ANIEI) 2008 1. Ricardo Garibay-Martínez, Andrei Tchernykh, Klaus Ecker. Re-allocation Cost Minimization in Distributed Dynamic Real-Time Systems. 16th International Conference on Real-Time and Network Systems. Rennes, Brittany (France). October 16-17, 2008 pp. 49-52 (PDF) 2. Andrei  Tchernykh, U. Schwiegelsohn, R. Yahyapour,  N. Kuzjurin "Online Hierarchical Job Scheduling in Grids", CoreGRID Symposium.  EuroPar 2008 Conference, Las Palmas de Gran Canaria (Spain), August 26th-29th, in book “From Grids to Service and Pervasive Computing”  Thierry Priol and Marco Vanneschi  (Eds.). pp. 77-91, Springer-Verlag,, 2008 DOI: 10.1007/978-0-387-09455-7_6 (PDF)  (CORE Rank A) 3. U. Schwiegelsohn, Andrei  Tchernykh, R. Yahyapour "Online Scheduling in Grids", IPDPS 2008, IEEE International Symposium on Parallel and Distributed Processing, April 14-18, 2008, Miami, Florida USA, pp. 1-10. DOI: 10.1109/IPDPS.2008.4536273 (PDF) http://ieeexplore.ieee.org/document/4536273/. WOS:000258501401001 (CORE Rank A) 4. Andrei  Tchernykh, Online Scheduling in Grids. New Challenges in Scheduling Theory (book of abstracts), May 12-16, 2008, Marseille - Lumini - CIRM., France 5. V. Yaurima,  Andrei  Tchernykh. A Genetic Algorithm for a Hybrid Flowshop Scheduling Problem of the Real Production Environment . Information Systems and Technology 2008. MATI-PVK  April 2, 2008, Moscow 2007 1. V. Yaurima, L. Burtseva, Andrei  Tchernykh. Hybrid Flowshop with Unrelated Machines, Sequence-Dependent Setup Time and Availability Constraints: An Enhanced Crossover Operator for a Genetic Algorithm. In Parallel Processing and Applied Mathematics, Wyrzykowski et al. (Eds.). Seventh International Conference on Parallel Processing and Applied Mathematics - PPAM 2007. Gdansk, POLAND, September 9-12, 2007, LNCS Vol. 4967, pp. 608-617, Springer-Verlag,, 2008. DOI 10.1007/978-3-540-68111-3_63, (PDF) WOS:000256665600063 (CORE Rank C) 2. J. Ramírez, A. Rodríguez, Andrei  Tchernykh, J. Verduzco. “Rendimiento de Estrategias de Calendarización Considerando Fluctuación de Tiempo de Ejecución de Tareas en un Grid Computacional”. Conf. Latinoamericana de Computación de Alto Rendimiento, CLCAR 2007. Santa Marta, Colombia del 13 al 18 de Agosto de 2007. p. 273-281 (PDF) 3. Elisa L. Salazar Ricarte, Andrei Tchernykh. Workload for grid scheduling strategies evaluation Information Systems and Technology 2007. MATI-PVK  April 4th, 2007, Moscow 4. R. Garibay, Andrei  Tchernykh, K. Ecker Adaptive Resource Management in Distributed Dynamic Real-time Systems. Information Systems and Technology 2007. MATI-PVK  April 4, 2007, Moscow 5. J. M. Ramírez, D. Madrigal, Andrei  Tchernykh Scheduling Strategies for a Computational Grid. Information Systems and Technology 2007. MATI-PVK  April 4th, 2007, Moscow 6. Victor Yaurima, Larisa Burtseva y Andrei Tchernykh. Aplicación de un algoritmo genético a un taller de flujo híbrido con restricciones múltiples. 2do Coloquio de posgrado del Programa de Maestría y Doctorado en Ciencias e Ingeniería, Diciembre, 2007, p.382-391, UABC, Ed. Sara Ojeda Benitez, ISBN: 978-970-735-098-4. 2006 1. Andrei  Tchernykh, Admissible Resource Selection Strategies in Two Level Job-Scheduling for a Computational Grid . Scheduling Algorithms for new Emerging Applications (book of abstracts), May, 29th - June, 2nd 2006, Marseille - Lumini - CIRM., France 2. Jaroslaw Zola, Denis Trystram, Andrei Tchernykh, Carlos Brizuela, Parallel Multiple Sequence Alignment with Local Phylogeny Search by Simulated Annealing. 20th IEEE International Parallel & Distributed Processing Symposium. IPDPS 2006,  25-29 April 2006, Rhodes Island, Greece. IEEE Computer Society Press, 2006, 8pp.-  ISBN: 1-4244-0054-6 DOI: 10.1109/IPDPS.2006.1639536 (PDF) http://ieeexplore.ieee.org/document/1639536/  (CORE Rank A) 3. Andrei  Tchernykh, J. Ramírez, Arutyun Avetisyan, N. Kuzjurin, D. Grushin, S. Zhuk. Two Level Job-Scheduling Strategies for a Computational Grid. In Parallel Processing and Applied Mathematics, Wyrzykowski et al. (Eds.): The Second Grid Resource Management Workshop (GRMW'2005). Sixth International Conference on Parallel Processing and Applied Mathematics - PPAM 2005. Poznan, Poland, September 11-14, 2005, LNCS 3911, Springer-Verlag, 2006. pp. 774-781 DOI: 10.1007/11752578_93 (PDF) WOS:000238107100093 (CORE Rank C) 4. Jaroslaw Zola, Denis Trystram, Andrei Tchernykh, Carlos Brizuela, Parallel Multiple Sequence Alignment with Local Phylogeny Search by Simulated Annealing. Proceedings of HICOMB'06, Rhodos, Greece, 2006 5. Luis Manuel Galaviz, David Madrigal, Roberto Sanchez, Ariel Lira, Juan Manuel Ramírez, Andrei Tchernykh, Jesús Alberto Verduzco. "Evaluación Experimental de Estrategias de Calendarización para Selección de Recursos en Grid Computacional". CICC 2006.- 7º. Congreso Internacional de las Ciencias Computacionales, Villa de Alvarez, Colima, Mex. (October 25-27, 2006) , pp. 64-73, 2006 6. Elisa Salazar, Andrei Tchernykh. "Análisis y Generación de Cargas de Trabajo para la Evaluación de Estrategias de Calendarización en un Grid Computacional. CICC 2006.- 7º. Congreso Internacional de las Ciencias Computacionales, Villa de Alvarez, Colima, Mex. (October 25-27, 2006) , pp. 6-16, 2006 (PDF) 7. Celeste Jiménez Santiago, Ricardo Garibay Martínez, Flavio Reyes Ramírez, Klaus Ecker, Jacek Blazewicz, Andrei Tchernykh. "Optimización de Recursos en Sistemas Distribuidos Adaptivos de Tiempo Real". CICC 2006.- 7º. Congreso Internacional de las Ciencias Computacionales, Villa de Alvarez, Colima, Mex. (October 25-27, 2006) , pp. 103-112, 2006 (PDF) 8. David Madrigal, Luis Manuel Galaviz, Juan Manuel Ramírez, Roberto Sánchez, Andrei Tchernykh, Jesús Alberto Verduzco. "Estrategias de Calendarización para un Grid Computacional" CiComp’06.- 1er. Congreso Internacional de Ciencias Computacionales, a celebrarse en la ciudad de Ensenada, B.C., México del 6 al 8 de Noviembre de 2006 9. Yair Castro, Daniel Mendoza, Juan Manuel Ramírez, Edelmira Rodríguez, Elisa Salazar, Andrei Tchernykh, Manuel Valenzuela. Evaluación de las Estrategias de Calendarización en Sistemas Distribuidos de Tipo Grid Computacional. (Poster). SSN’06 - Simposio Súpercomputo Noroeste 2006. Universidad de Sonora, Febrero 21-23, 2006. 10. Elisa Salazar, Manuel Valenzuela, Daniel Mendoza, Yair Castro, Juan Manuel Ramírez, Edelmira Rodríguez, Andrei Tchernykh. Evaluación de las estrategias de calendarización para sistemas distribuidos de tipo grid computacional. ENOAN 2006 - La XVI Escuela Nacional de Optimización y Análisis Numérico,  26 al 31 de marzo del 2006, Universidad Autónoma de Tlaxcala. 2005 1. Alfredo Cristóbal-Salas, Andrey Chernykh, Edelmira Rodríguez-Alcantar, Jean-Luc Gaudiot, Exploiting Single-Assignment Properties to Optimize Message-Passing Programs by Code Transformations, in Implementation and Application of Functional Languages: 16th International Workshop, IFL 2004, Luebeck, Germany. Clemens Grelck, et al. (Eds.) Lecture Notes in Computer Science, Springer-Verlag. Volume 3474, May 2005, Pages 1 - 16. ISBN: 3-540-26094-3, DOI: 10.1007/11431664_1 (PDF) https://link.springer.com/chapter/10.1007%2F11431664_1, WOS:000230112700001 2. Elisa Salazar, Manuel Valenzuela Daniel Mendoza, Yair Castro, Juan Manuel Ramírez, Edelmira Rodríguez, Andrei Tchernykh. Evaluación de las Estrategias de Calendarización en un Grid Computacional Jerárquico CICC 2005.- 6º. Congreso Internacional de las Ciencias Computacionales, Villa de Alvarez, Colima, Mex. (September 28-30, 2005) , 2005 3. Larisa Burtseva, Andrei Tchernykh, Victor Yaurima. Algoritmo de Scheduling para un Caso Especial de Flexible Flow Shops con dos Etapas Sucesivas. VI Congreso Internacional de Ciencias Computacionales. CICC 2005., Instituto Tecnológico de Colima, Colima, Col., 2005, 8p. 2004 1. K. Ecker, Andrei  Tchernykh, F. Drews, S. Schomann. Continuous Mode Changes in Mechatronic Systems. Proceedings of the PCS2004 Third International Conference on Parallel Computing Systems, Colima, Mexico, September 20-24 (ENC’04 Mexican International Conference in Computer Science),  IEEE Computer Society Press, p. 407-414, 2004 DOI: 10.1109/ENC.2004.1342635 (PDF) http://ieeexplore.ieee.org/document/1342635/. WOS:000224554900053 2. H. Romero, C. Brizuela, Andrei  Tchernykh. An Experimental Comparison of Two Approximation Algorithms for the Common Superstring Problem. Proceedings of the ENC’04 Mexican International Conference in Computer Science 2004 Colima, Mexico, September 20-24, 2004. IEEE Computer Society Press, p. 27-34, 2004 DOI: 10.1109/ENC.2004.1342585 (PDF) http://ieeexplore.ieee.org/document/1342585/. WOS:000224554900003 3. Sergey Zhuk, Andrei Tchernykh (Chernykh), Nikolai Kuzjurin, Alexey Pospelov, Alexander Shokurov, Arutyun Avetisyan, Sergey Gaissaryan, Dmitry Grushin. Comparison of Scheduling Heuristics for Grid Resource Broker. PCS2004 Third International Conference on Parallel Computing Systems. Colima, Mexico, September 20-24 (ENC’04 Mexican International Conference in Computer Science) , IEEE Computer Society Press, p. 388-392. 2004 (PDF) WOS:000224554900050 4. A. Lazarev, A. Kvaratskhelia, Andrei  Tchernykh. Solution Algorithms for the Total Tardiness Scheduling Problem on a Single Machine. Workshop Proceedings of the ENC’04 Mexican International Conference in Computer Science, 2004. Colima, Mexico, September 20-24, 2004. Colima University Press, p. 474-480, 2004 (PDF) 5. Andrei Tchernykh. Idle Regulation in On-Line Scheduling of Multiprocessor Jobs. International Seminar on Scheduling in Computer and Manufacturing Systems, 04231, Dagstuhl, Germany, 2004 (abstracts http://www.dagstuhl.de/04231/) 6. Andrei Tchernykh, D.Trystram. On-Line Scheduling of Multiprocessor Jobs with Idle Regulation. In Parallel Processing and Applied Mathematics, Wyrzykowski et al. (Eds.): PPAM 2003, Lectures Notes in Computer Science, © Springer-Verlag, Berlin, Heidelberg, vol. 3019, pp. 131-144, 2004 (Invited paper) (PDF) (CORE Rank C) 7. A. Lazarev, A. Kvaratskhelia, Andrei  Tchernykh. Solution Algorithms for the Total Tardiness Scheduling Problem on a Single Machine. Workshop Proceedings of the ENC’04 Mexican International Conference in Computer Science, 2004. Colima, Mexico, September 20-24, 2004. Colima University Press, p. 474-480, 2004 (PDF) 2003  1. A.Cristobal, Andrei Tchernykh, J-L.Gaudiot. Incomplete Information Processing for Optimization of Distributed Applications, Proceedings of the Fourth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'03), International Association for Computer and Information Science ACIS, Lubeck, Germany, pp. 277-284, 2003  (PDF)   2. A.Cristobal, Andrei Tchernykh, J-L.Gaudiot. Non-strict Evaluation of the FFT Algorithm in Distributed Memory Systems, In ‘Recent Advances in Parallel Virtual Machine and Message Passing Interface. J. Dongarra, D. Laforenza, S. Orlando (eds.), Lectures Notes in Computer Science, Springer-Verlag, Berlin, vol. 2840, pp. 188-195, 2003  https://doi.org/10.1007/978-3-540-39924-7_28 (PDF) WOS:000187497500028 2002  1. Andrei Tchernykh, D.Trystram. Adaptive Strategy for On-Line Scheduling of Real World Parallel Applications. SCI 2002 6th World Multiconference on Systemics, Cybernetics and Informatics. International Institute of Informatics and Systemics – IIIS Press, vol. XVI, p. 354-359. 2002. WOS:000179558300064 2. A.Cristóbal, Andrei Tchernykh. Design of and I-Structure Software Cache for Distributed Memory Systems. PDPTA 2002 The International Conference on Parallel and Distributed Processing Techniques and Applications. CSREA Press, p.1890-1896, 2002 3. Andrei Tchernykh, D.Trystram. Adaptive Strategy for On-Line Scheduling of Real World Parallel Applications. In: SOCAL’02 Southern California Workshop on Parallel and Distributed Processing and Architecture (book of abstracts), Santa Barbara, USA, p. 7-8., 2002 WOS:000179558300064 2001  1. A.Hirales, Andrei Tchernykh, I.Scherson. Fine Grain Performance Evaluation Based on a Geometric Model of Execution, PDPTA’2001 The International Conference on Parallel and Distributed Processing Techniques and Applications. Vol.1, p. 376-382, CSREA Press, 2001 WOS:000174014500057 2. Andrei  Tchernykh, D. Trystram, C. Rapin. Adaptive (a,b,c)-Scheme strategy for on-line scheduling. In: New trends in scheduling for parallel and distributed systems (book of abstracts), Marseille - Lumini - CIRM., France, 2001. 2000 - 1995 1. N.G.Tchernykh, Andrei N.Tchernykh, K.Ecker. Maximum Number of Immediate Successors First Algorithm for Dynamic Scheduling of Unit and Non Unit Execution Time Tasks Seventh St. Petersburg International Conference "Regional Informatics - 2000" Saint Petersburg, December 05-08, 2000 2. M.I.Estrada, Andrei Tchernykh, C.Pérez. “Usando los principios de las dimensiones del aprendizaje para el diseño de un sistema de enseñanza a través del web” CEAD2000: Primer Congreso de Educación Abierta y a Distancia, (June 8-10, 2000), CD, Ensenada, B.C. México, 2000 3. Andrei Tchernykh, A.Stepanov, A.Rodríguez, I.Scherson. Parallel Computation in Abstract Network Machine., PCS'99 The Second International Conference on Parallel Computing Systems, p.138-151, Ensenada, BC, Mexico, 1999 4. Andrei N.Tchernykh, A.M.Stepanov, A.I.Lupenko, N.G.Tchernykh. Extraction and Optimization of the Implicit Program Parallelism by Dynamic Partial Evaluation -pAs'97 The Second Aizu International Symposium on Parallel Algorithms/Architecture Synthesis, p. 332-339, IEEE Computer Society Press, 1997. DOI: 10.1109/AISPAS.1997.581687 (PDF, abstract) http://ieeexplore.ieee.org/document/581687/. WOS:A1997BH39C00040 5. A.Rodriguez-Diaz, Andrei Tchernykh, K.Ecker. Non-deterministic Scheduling in an Abstract Network Machine - PCS'97: International Workshop on Parallel Computation and Scheduling, p. 47-58. Ensenada, Baja California, Mexico, 1997 6. Andrei Tchernykh, A.Stepanov, A.Lupenko, N.Tchernykh, A.Rodriguez-Diaz. “Partial Evaluation for Parallel Computing: Experimental Results with Abstract Network Machine”. ENC’97: Primer Encuentro de Computacion. Sistemas Distribuidos y Parallelos, p. 76-83, Queretaro, Qro, Mexico, 1997 7. Andrei N.Tchernykh, A.M.Stepanov, A.I.Lupenko, N.G.Tchernykh. Abstract Network Machine: Transformational Approach to Parallel Computation. CONIELECOMP'97, Universidad de las Americas-Puebla, IEEE, p. 375-377, 1997 8. A.C.Salas, Andrei Tchernykh. "Fuzzy recognition of noncompact musical objects". Orlando'97 Symposium. Optical Pattern Recognition VIII conference, SPIE Proceeding Vol. 3073, p. 458-468, 1997 DOI: 10.1117/12.270397, (PDF) 9. A.M.Stepanov, Andrei N.Tchernykh, A.I.Lupenko, N.G.Tchernykh. “Parallel Computation on Associative Network”. MPCS’96 Second International Conference on Massively Parallel Computing Systems, IEEE Computer Society Press, p. 190-197, 1996. 10. A.Cristóbal-Salas, J.Favela-Vara, Andrei Tchernykh. Optical Recognition of Non-compact Images with Variable Sizes. 3CIICC'96, National Academy of Research in Computer Science, p. 193-197, 1996 11. A.M.Stepanov. Andrei N.Tchernykh. A.I.Lupenko. N.G.Tchernykh. Experimental Parallel Programming System PARNET. International Workshop on Advanced Electronic Technology. Nov.22-Dec.02, 1995, p. 107-108, Institute for High Performance Computer Systems of RAS, Moscow, 1995 1986 - 1975 1. A.N.Tchernykh. Dynamic Partial Evaluations and Automatic Program Parallelization, IPMCE of RAS; 1, Moscow, 1986, 41p. 2. A.N.Tchernykh. Parallel Computations on Associative Networks and use it for automatic parallelizing programs. Abstract of Ph.D. thesis, Moscow, 1986, 23p. (in Russian) 3. A.N.Tchernykh. Parallel Computations on Associative Networks and Automatic Programs Parallelization. Ph.D. thesis, Moscow, 1986, 136p. (in Russian) 4. A.N.Tchernykh. Parallelization of ALGOL-60 in Experimental Programming System PARNET, IPMCE of RAS; 14, Moscow, 1985, 63p. 5. A.N.Tchernykh. Relation Semantic of ALGOL-60. Proceeding of Computer Science Conference, IPMCE of RAS; Moscow, p. 55-57, 1985. 6. A.N.Tchernykh, A.I.Lupenko, I.A.Makeeva. Experimental System of Parallel Programming. Computer Science Conference, IPMCE of RAS; Moscow, p. 45-46, 1985 . 7. A.N.Tchernykh., Parallel Efficiency of ALGOL-60 parallelization. Proceeding of Computer Science Conference, IPMCE of RAS; Moscow,  p. 55-57, 1985. 8. A.N.Tchernykh. Parallel Interpretation of Operator Language in Experimental Programming System. Multiproc Computer Systems and Software, Novosibirsk, p.124-146, 1982 . 9. A.N.Tchernykh. Parallel Interpreter of Operator Language. IPMCE of RAS; 4, Moscow, 1982, 49p. 10. A.N.Tchernykh. Some Problems of Parallel Computations.  IPMCE of RAS, 10, Moscow, 1982, 49p. 11. A.N.Tchernykh. Principles of Parallel Implementation of Operator Language. Proceeding of Computer Science Conference, IPMCE of RAS; Moscow, p. 105-108, 1981 . 12. V.V.Kiryukhin, A.N.Tchernykh. A Quadruple computer redound-type fault-tolerant system. Proceedings of 3 USA-Japan Computer conference, 1977 13. V.V.Kiryukhin, A.N.Tchernykh. About Structures of Homogeneous computer systems for fault-tolerant computations. Proc. of 4 USSR Computer conference, Kiev, 1975

Invited Talks, Keynote Addresses, and Plenary talks

2020 · FS 2020 - FreeSecurity International Conference. Instituto Tecnológico de Tuxtepec, Tecnológico Nacional de México. December 2-4, 2020 “Security in Cloud Computing” · Huawei - Cloud Resource Scheduling and Optimization Workshop. Moscow, October 28, 2020  “Adaptive Scheduling in Non-Stationary Cloud Environment” · ICCS-DE 2020 - 2nd International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia,  July 6–7, 2020 “Uncertainty and optimization in cloud computing” · ICCIS 2020 - 1st International Conference on Systems and Information Sciences. Manta, Ecuador, July 27-29, 2020 “Uncertainty in Clouds: Research Challenges and Opportunities” · VI Jornadas Anuales de Investigación, Webinarios Magistrales, La Universidad Atlántida Argentina, September 07-11, 2020  “Smart Anything Everywhere: Integrating technologies and data” 2019 · En&T-2019 - 6th international conference “Engineering and Telecommunication”, Moscow/Dolgoprudny. Russia, November 21-22, 2019  · ISF - 5th. Information Security Forum (5to. Foro de Seguridad de la Informacion), Ensenada, Mexico August 21-22, 2019 “Security, privacy, and reliability of cloud data storage under unknown risks” · IFI - The Institute of Computer Science, Faculty of Mathematics and Computer Science, Georg-August-Universitat Gottingen, “Can we keep our data privately in cloud computing? ” May 3rd, 2019 · ISUM 2019 (Smart City Track) - 10th International Supercomputing Conference in Mexico,  Monterrey, Nuevo León, México. (March 25-29, 2019 )  "Internet of Everything in Smart Cities" · ISUM 2019 (Cybersecurity Track) - 10th International Supercomputing Conference in Mexico,  Monterrey, Nuevo León, México. (March 25-29, 2019 )   "Cyber Security In Cloud Computing under uncertainty " · ISUM 2019 (Keynote) - 10th International Supercomputing Conference in Mexico,  Monterrey, Nuevo León, México. (March 25-29, 2019 )  "Intelligent data management in clouds: How to protect our data by adaptive security" 2018 · NCFU - North-Caucasus Federal University, Institute of Mathematics and Natural Sciences (IMNS), Department of Applied Mathematics and Mathematical Simulation. November 03-11, 2018 · UNIANDES - Universidad de los Andes, Bogota, Colombia “Uncertainty in Cloud Computing: Performance, reliability and security”, September 24, 2018 · GLOSIC 2018 - The 2018 Global Smart Industry Conference.  “Security Everywhere: Security Ecosystem in the Digital Transformation Age.” Chelyabinsk, Russia, November 13-15, 2018 · Ivannikov-ws 2018 - The Ivannikov Memorial Workshop. Yerevan, Armenia, on May 3-4, 2018. "From Smart Anything to Security Everywhere" · COMTEL 2018 - X International Conference on Computer Science and Telecommunication (X Congreso Internacional de Computación y Telecomunicaciones), Lima - Perú, October 17-19, 2018 “Adaptive Cyber Security: Mitigating Uncertainty and Optimization in Cloud Computing” · SENER 2018 - National Priorities for Research, Technological Development and Human Resources Training to optimize the Mexican production portfolio” Cyber security  in the Smart Oil Industry. The Energy Secretariat of Mexico, April 11 – 13,  2018, México · ISUM 2018 - 9th International Supercomputing Conference in Mexico, Merida, Yucatan, México. (March 5-9, 2018 ) “Intelligent fog-edge-cloud computing for IoT under uncertainty with adaptive security ” 2017 · Moscow Power Engineering Institute (National Research University) MPEI, Institute of Automatics and Computer Engineering   . Moscow. December 21, 2017. “Managing Uncertainty in the Clouds” · Lobachevsky State University of Nizhni Novgorod (NNSU), Institute of Information Technology, Mathematics and Mechanics, Nizhny Novgorod. December 06, 2017 “Resource optimization and uncertainty” · Chamber of Commerce and Industry of the Russian Federation. Fund of development of innovative entrepreneurship. 1st International Fórum «Digital economy. Innovation and business» Moscow, December 4, 2017 “Smart City. Information Security ” · ISPRAS OPEN 2017 - IEEE Ivannikov ISPRAS Open Conference,  Moscow, Russia. Nov. 30 - Dec. 01, 2017 “ Mitigating Uncertainty of Energy Consumption in Cloud Computing” · En&T 2017 - 4th International Conference Engineering & Telecommunication, MIPT, Moscow/Dolgoprudnyi, November 29-30, 2017 “From Smart City to Smart Manufacturing: Treating Uncertainty in Problem Oriented Cloud Computing” · CARLA 2017 - Latin American Conference on High Performance Computing. Buenos Aires, Argentina September 20-22, 2017 “Towards understanding Uncertainty in Cloud Computing” · UCC 2017 - 1st International Workshop on Uncertainty in Cloud Computing. In conjunction with 28th International Conference on Database and Expert Systems Applications - DEXA 2017, Lyon, France, August 28 - 31, 2017 “ Cloud Computing: from Uncertainty to Efficiency” · PPAM 2017 - 12th International Conference on Parallel Processing and Applied Mathematics, Lublin, Poland, (September 10-13, 2017) “Cloud Computing Uncertainty: opportunities and challenges ” (CORE Rank C) · PWs@PhD Erasmus+ - International schools of Software Engineering. South Ural State University, Chelyabinsk, Russia (May 15-28, 2017) “Introduction to Green Computing” · Prom-Engineering 2017 - International Scientific and Technical Conference. South Ural State University, Chelyabinsk, Russia (May 18, 2017) “Smart Cities concept and HPC” · SUSU - Scientific workshop of EECS - Electrical Engineering and Computer Science School of South Ural State University, Chelyabinsk, Russia (May 23, 2017)  "Towards a Cloud Computing Paradigm For Big Data Analysis in Smart Cities" · ISUM 2017 - 8th International Supercomputing Conference in Mexico, Guadalajara, Jalisco, México. (February 27 - March 3, 2017 ) “The Opportunities and Challenges of Mitigating Uncertainty: From Cloud Computing and Cloud Manufacturing to Exascale” 2016 · Tsinghua University, Department of Computer Science and Technology, Beijing, China. December 15, 2016 “Scheduling Algorithms for HPC, Grid and Cloud Computing” · SUSU - South Ural State University. Higher School of Electronics and Computer Sciences, Chelyabinsk, Russia. December 20, 2016  “Distributed Computing Optimization in Presence of Uncertainty” · UES - State University of Sonora. San San Luis Rio Colorado Academic Unit (Unidad Académica Universidad Estatal de Sonora) . August 29, 2016 “Cloud Computing” · ISUM 2016 - 7th International Supercomputing Conference in Mexico,  Puebla de Zaragoza, Puebla, México. (April 11-15, 2016) “Uncertainty is the Only Certainty in Cloud Computing” (ISUM) 2015 · CCERD 2015 - The 6th International Conference “Cloud Computing. Education. Research. Development". Moscow, Russia, December 3-4th., 2015. “Challenges and Handling of Uncertainty in Cloud Computing Resource Allocation” · En&T 2015 - International conference Engineering & Telecommunications, Moscow, Russia. Nov. 18-19, 2015. “Cloud Computing Does not Come Without Uncertainty”. · UdelaR - University of the Republic, Uruguay, October 20, 2015 “Uncertainty in Cloud Computing Resource Management” · RuSCDays'15 - The Russian Supercomputing Days. September 28-29, 2015, Moscow. Andrei Tchernykh, Uwe Schwiegelsohn, Vassil Alexandrov, El-ghazali Talbi. “Uncertainty in Clouds: challenges of efficient resource provisioning” · University of Mons (UMONS), Mons, Belgium. October 7, 2015 “Cloud computing parallelism does not come without uncertainty”, · University of Dortmund, Dortmund, Germany. A VoIP Service Model for Scheduling in Cloud Infrastructure, July 21, 2015 · BSC—Severo Ochoa Exelence Programme Research Seminar at Barcelona Supercomputing Center, “Scheduling with uncertainty in Grids and Clouds” March 20, 2015 · INRIA Lille - Nord Europe, Centre de recherché. “Understanding Uncertainty and Scheduling in Grid/Cloud environment” January 20, 2015 2014 · CIMAT—Centro de Investigación en Matemáticas. Escuela de Modelación y Métodos Numéricos “Calendarización en sistemas paralelas y distribuidas (grides, nubes)” , June 25-28, 2014 · University of Dortmund, Dortmund, Germany. Understanding Uncertainty in Cloud Computing. March 05, 2014 2013 · University of Notre Dame, Center for Research Computing. South Bend, Indiana, United States “Dynamic Scheduling with Uncertainty in Grid and Cloud Computing”   December 03, 2013 2012 · University of Dortmund, Dortmund, Germany. Online Scheduling for Cloud Computing with Different Service Levels preliminary experimental study. Nov. 08, 2012 · University of Luxembourg. HPC, Grid and Cloud Computing Research. November 13, 2012 · ENU-HPC 2012 - Primer Encuentro Nacional de Usuarios de Cómputo de Alto Desempeño. “Computación Verde”. Universidad de Guanajuato, Campus Celaya-Salvatierra, Celaya Guanajuato. 14, 15, 16 de Mayo, 2012 · 6to Congreso de Ciencias Exactas 2012. “Administración de recursos en Grid con calidad de servicio amigable con el ambiente” Universidad Autónoma de Aguascalientes, Aguascalientes, Mexico (12-16 de marzo del 2012) · Ingeniería en Electrónica y Comunicaciones, Universidad Veracruzana, Poza Rica, Veracruz, Mexico (20 de marzo del 2012). “HPC in México. Computación verde ” · Ingeniería en Electrónica y Comunicaciones, Universidad Veracruzana, Poza Rica, Veracruz, Mexico (21 de marzo del 2012). “Super, Grid and Cloud Computing” · RISC Awareness Raising Workshop, Network for Supporting the Coordination of Supercomputing Research between Europe and Latin America. 21 de Mayo 2012. Veracruz 2011 · RISC Awareness Raising Workshop. “HPC in Mexico: Looking to the Future based on solid foundations” Network for Supporting the Coordination of Supercomputing Research between Europe and Latin America. CONACYT, (21-25 de noviembre, 2011) · CLCAR 2011 - Conferencia Latinoamericana de Computación de Alto Rendimiento. Colima, México (5-9 de septiembre, 2011) · CIICC 2011. 17th International Congress on Computer Science Research, “Toward Green Grid Computing: Power-aware resource optimization by parallel job scheduling” Morelia, Mexico (26-28 de octubre del 2011) · SIT 2011—XII SIMPOSIUM INTERNACIONAL DE TELEMÁTICAndrei  Facultad de Telemática de la Universidad de Colima, México. Administración de trabajos paralelos amigable con el ambiente  (May 23-27, 2011). · ISUM 2011 - 2nd International Supercomputing Conference in Mexico 2011. Green Grid Computing: Eco friendly power-aware parallel job management. San Luis Potosí, México  (March 21-25, 2011). · ISUM 2011 2nd International Supercomputing Conference in Mexico 2011. San Luis Potosí, México  (March 21-25, 2011).Tutorial : Algoritmos y métodos de Calendarización · XXI Semana Regional de Investigación y Docencia en Matemáticas. Universidad de Sonora, Hermosillo, México, Andrei Tchernykh “Green Grid Computing: Eco-friendly power-aware parallel job management” ( March 2, 2011) · XXI Semana Regional de Investigación y Docencia en Matemáticas. Universidad de Sonora, Hermosillo, México, Tutorial : “Algoritmos y métodos de calendarización” (Feb. 28 – March 4, 2011) 2010 · Cesues—Centro de Estudios Superiores del Estado de Sonora. Magdalena de Kino, Sonora , México. Scheduling in Grids. (November 3, 2010) · Cesues—Centro de Estudios Superiores del Estado de Sonora. San Luis Río Colorado, Sonora , México. Large Scale Supercomputing: From Clusters to Computacional Grids. (June 24, 2010) · CIIDIT—Centro de Innovación, Investigación y Desarrollo en Ingeniería y Tecnología, Monterrey, México  Avances y Tendencias en Calendarización para Sistemas Distribuidos y Adaptativos (May 28, 2010) · ISUM 2010 1st International Supercomputing Conference in Mexico 2010. Large Scale Supercomputing: Resource Management in Computational Grids. Guadalajara Jalisco , México (March 2-5, 2010). 2009 · V  Simposium Internacional de Cómputo, Departamento de Sistemas y Computación del Instituto Tecnológico de La Paz. Andrei Tchernykh Procesamiento distribuido de gran escala basado en un Grid Computacional. 11-13 de noviembre 2009. · CGCT2009. Collaborative and Grid Computing Technologies Workshop. Andrei Tchernykh, Uwe Schwiegelshohn, Ramin Yahyapour "On-line Job Scheduling of Parallel Jobs in Grids" Cancun, Quintana Roo, Mexico, April 22th to April 24th, 2009 2008 · 8CIC—8 Simposium Internacional de Computación. Andrei Tchernykh “Optimización de los recursos en un grid computacional”., 7,8 y 9 de Noviembre 2008, ITESCA. Cd. Obregón, Sonora · Semana de supercómputo. 50 años de la Computación en México. Andrei Tchernykh "Computación paralela: desde supercomputadoras y clústeres a Grid Computacional", Universidad Autónoma Metropolitana. unidad Iztapalapa (UAMI), 24 o 25 de Noviembre 2008 2007 · UABC, Tijuana, México  Andrei Tchernykh: (December 18, 2007) Teoría de Computación Paralela” en un taller “Computación en Grids 2005 · University of Colima, Telemática, Colima, México, (October 6-7, 2005). Computational Resource Management: from supercomputers and Clusters to Computational GRIDs. · 6º. International Congress of Computer Science, Villa de Alvarez, Colima, Mex. (September 28-30, 2005)  Adaptive Scheduling Strategies in Cluster and Computational GRIDS (keynote speaker) · 6º. International Congress of Computer Science, Villa de Alvarez, Colima, Mex. (September 28-30, 2005)  Parallel Computing: from supercomputing and `s to Computational GRIDs, Algorithms, Programming, Scheduling (tutorial) 2004 · The Institute for System Programming (ISP) of the Russian Academy of Sciences (RAS), Moscow, Russia. May 29, 2004 “Parallel computing and Resource Management in Cluster and GRID Environment” · Universidad Autónoma de Baja California, Instituto de Ingeniería. Mexicali, Baja California, México. October 12, 2004 “Scheduling Strategies and Idle Regulation in Cluster and GRID Computing”  2003 · PPAM 2003 - Fifth International Conference on Parallel Processing and Applied Mathematics, Czestochowa, Poland, September 7-10, 2003. Andrei Tchernykh, and Denis Trystram, "On-Line Scheduling of Multiprocessor Jobs with Idle Regulation" (keynote) · Instytut Informatyki, Politechnika Poznanska, Poznan, September 12, 2003, “Incomplete Data Structures and Non-strict Information Processing in Parallel and Distributed Computing.” · Fifth International Conference on Parallel Processing and Applied Mathematics (PPAM'2003), Czestochowa, Poland, September 7-10, 2003. Andrei Tchernykh, and Denis Trystram, "On-Line Scheduling of Multiprocessor Jobs with Idle Regulation" (invited paper) 2002 · SCI 2002 - 6th World Multiconference on Systemics, Cybernetics and Informatics. Orlando, USA, July 14-18, 2002. Andrei Tchernykh, Denis Trystram. Adaptive Strategy for On-Line Scheduling of Real World Parallel Applications. 2001 · Instytut Informatyki, Politechnika Poznanska, Poznan, 07 de Abril, 2001, “On-line scheduling strategy for unit execution time tasks” · New Trends in Scheduling in Parallel and Distributed Systems, Marseille (FRANCE) 1-5 de Octubre, 2001, Andrei Tchernykh “Adaptive (a,b,c)-Scheme Strategy for On-Line Scheduling” · WIT’01 - Germany-Mexico Workshop on Information Technology, February 21-24, 2001,  Puebla, México. Klaus Ecker, Andrei Tchernykh “Efficient Tools for Designing Scientific Applications in PC's clusters” · Institut fuer Informatik, Technische Universitaet Clausthal, Alemania, 07 de Octubre, 2001, ANDREIN.Tchernykh (CICESE) “Distance Learning Education: Dynamic Visualization in Parallel Computing Class” · Universidad Estatal de Moscú, Moscú, Rusia, 19 de Abril, 2001 “Parallel Cluster Computing” · Institut National Polytechnique de Grenoble, Grenoble, Francia, 22 de Marzo de 2001 “Maximum Number of Immediate Successors First Strategy for On-Line Scheduling of Unit Execution Time Tasks” 2000 · Universite Joseph Fourier, INSTITUT D'INFORMATIQUE ET DE MATHEMATIQUES APPLIQUEES DE GRENOBLE - IMAG, Laboratoire de Modélisation et Calcul, ENSIMAG, Grenoble, Francia, 02.03.2000 “Dynamic Incomplete Structures for Fine-Grain Parallel Computing” (UCC462) · Primera Jornada Franco-Mexicana de Informática, 16-18 de Noviembre, 2000, ENSIMAG, Grenoble, Francia, "Computación paralela en cluster para aplicaciones científicas" Andrei Tchernykh, Denis Trystram (CECCV20001) · Laboratoria Nacional de Informatica Avanzada - LANIA, Xalapa, Mexico, November 23, 2000, Andrei Tchernykh “Parallel Cluster Computing for Scientific Applications” 1999 · X Dia del COMPUTOLOGO, (1 de Noviembre de 1999), UABC, Ensenada, BC, Mexico. Andrei Tchernykh . La Investigacion en Computación Paralela. · 1er Simposio de Redes de Computadoras CIC-REDCOM’99 “Parallel Partial Evaluation for Specialization and Optimization of Parallel Programs”, México, September, 1999 · SEMANA DE SUPERCÓMPUTO, Cómputo Paralelo y Distribuido, June 21-25, 1999, UNAM, Ciudad de México, Andrei Tchernykh “Parallel Computing Paradigms” · Septima Simposium Computacional, Universidad Autonoma de Aguascalientes, March 2-6, 1999, Aguascalientes, Mexico, Andrei Tchernykh “Parallel Computation: Perspective in Supercomputing” 1998 · New Trend in Scheduling in Parallel and Distributed Systems (Junio 15-19, 1998), Aussois, Francia. Andrei N.Tchernykh, A.M.Stepanov, N.G.Tchernykh " Parallel Computation on Associative Network with Partial Evaluation Effect" (CECCV9804) · Information System for Teaching and Research in Computer Science (29 de Mayo - 12 de Junio 1998, Clausthal-Zellefeld, Hannover, Germany), Andrei Tchernykh. "Parallel Computing and Distant Learning Education" · Primera Escuela de Invierno en Sistemas Distribuidos EISD98, November 23-27, 1998, Guadalajara, Mexico, Andrei Tchernykh “Computación Paralela” (tutorial) · IX Dia del COMPUTOLOGO La Investigacion en Ciencias Computocionales en Mexico (6 de Noviembre de 1998), UABC, Ensenada, BC, Mexico · XIII Congreso de Instrumentacion SOMI, Mexican Society of Instrumentation, Ensenada, BC, October 5-9, 1998 · Information System for Teaching and Research in Computer Science (June 3, 1998 Clausthal-Zellefeld, Hannover, Germany), Andrei Tchernykh. "Parallel Computing and Distant Learning Education" · Universidad Autónoma del Estado de Morelos, Facultad de Ciencias (Quernavaca, Morelos). Andrei Tchernykh “ANM Paradigm in Parallel Computing, (4 de Marzo de 1998) (CECCV9801) · IV Simposium Tecnológico de Baja California (April 25, 1998), Ensenada, Baja California, Mexico, Andrei Tchernykh “Parallel Computing: tendency and perspectives” · III Symposium Intercontinental of Sciences (April 1-3, 1998), Chetumal, Quintana Roo, Mexico. Andrei Tchernykh, Natalia Tchernykh “Paradigms in Parallel Computing” 1996 · Workshop on Scheduling in Computer and Manufacturing System, Mayo 27-31, 1996, Lessach, Austria. Andrei N.Tchernykh, “Non-deterministic scheduling problems in Abstract Network Machine” (CEETV9617) · Institut fur Informatik der Technische Universitat Clausthal, Junio de 1996, Alemania - Andrei Tchernykh (CICESE), I.Kupka (Institut fur Informatik, Clausthal). “Parallelism in declarative languages” · 1 Simposio Internacional de Ingeniería en Sistemas Computacionales e Informática (October 7-10, 1996), Zacatecas, Mexico. Andrei N.Tchernykh, “Parallel Computations on Associative Networks. A New Approach to Computing” 1995 · XXV Symposium of Chemistry and Engineering, November 30 - December 1, 1995, UABC, Tijuana, Mexico, Andrei N.Tchernykh., “Parallel Programming” · CICESE, Septiembre 7, 1995. Andrei  Tchernykh “Computación paralela en redes asociativas”.

Editorial Board Member: · International Journal of Metaheuristics (IJMHeur) - Inderscience Publishers. Genève,  Switzerland (http://www.inderscience.com/jhome.php?jcode=ijmheur) · Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS), Moscow, Russia  (http://www.ispras.ru/en/proceedings/editorial_board.php) (Q3-Scopus) · Computational Mathematics and Software Engineering. Series of Bulletin of the South Ural State University. Scientific journal. Online ISSN: 2410-7034 Print ISSN: 2305-9052. (https://vestnik.susu.ru/cmi/pages/view/about-editorial-council) (Q3-Scopus) · Supercomputing Frontiers and Innovations. An International Journal. ISSN: 2313-8734 (online), 2409-6008 (print) DOI: 10.14529/jsfi  (http://superfri.org/superfri/about/editorialPolicies#custom-5) (Scopus: Q2) · The Bulletin of Irkutsk State University. Series «Mathematics» ISSN 1997-7670 (Print), ISSN 2541-8785 (Online), http://mathizv.isu.ru/en/,  (http://mathizv.isu.ru/en/editorialboard.html)   Guest Editor: · High Performance Computing, Communications in Computer and Information Science, vol. 1327, pp. 220. 2021, Springer. Nesmachnow, Sergio, Castro, Harold, Tchernykh, Andrei (Eds.). ISBN: 978-3-030-68034-3, ISSN: 1865-0929, DOI: 10.1007/978-3-030-68035-0 · Programming and Computer Software, © Springer. Special issue on “Emerging trends in advance computing and information technology” Submission deadline: January 30, 2020 IF 0.75, Q4 (Scopus: Q3) · Mobile Networks & Applications (MONET)  Special issue on “Collaborative Computing for Data-Driven Systems" Springer  IF 2.39 Q2, (Scopus: Q1) · International Journal of Approximate Reasoning. Elsevier. ISSN: 0888-613X, eISSN: 1873-4731 Special Issue on “Uncertainty in Cloud Computing: Concepts, Challenges and Current Solutions”(editorial) https://doi.org/10.1016/j.ijar.2019.05.008 IF 1.982 Q2 · CEUR Workshop Proceedings Vol-2638 (CEUR-WS.org) ICCS-DE 2020 - The 2nd International Workshop on Information, Computation, and Control Systems for Distributed Environments. Irkutsk, Russia, July 6-7, 2020, Edited by: Igor Bychkov, Andrei Tchernykh, Alexander Feoktistov · CEUR Workshop Proceedings Vol-2430 (CEUR-WS.org) ICCS-DE 2019 - The 1st International Workshop on Information, Computation, and Control Systems for Distributed Environments. Irkutsk, Russia, July 8-9, 2019, Edited by: Igor Bychkov, Andrei Tchernykh · Proceedings of ISP RAS (ISSN 2220-6426 (Online), ISSN 2079-8156 (Print)). Special Issue on "Advanced Computing: from Theory to Practice"  Vol 31, No 2 (2019) (Scopus: Q3) · Supercomputing. Communications in Computer and Information Science vol. 948, pp. Springer, Revised Selected Papers of 9th International Conference, ISUM 2018, Mérida, Mexico, March 5–9, 2018, Editors: Moises Torres, Jaime Klapp, Isidoro Gitler, Andrei Tchernykh.  ISBN 978-3-030-10447-4, ISSN1865-0929, DOI 10.1007/978-3-030-10448-1 · Iberoamerican Journal of Research "Computing and Systems" (Revista Iberoamericana de Investigación "Computación y Sistemas"). Vol. 4, No. 4, 2000 IF: 0.620 Q3, Special issue on Parallel Computing · Iberoamerican Journal of Research "Computing and Systems" (Revista Iberoamericana de Investigación "Computación y Sistemas"). Vol. 17, No. 3, 2013. IF: 0.620 Q3, Special issue on Supercomputing in Mexico: Applications and Technologies.

 

Other Professional Activities

· Founder member of Mexican Supercomputer Society - Red Mexicana de Supercómputo (RedMexSu)

· Regional President of Global Association for Academic Supervision (GAAS)  Latin America

· Member of IEEE

· Member of ACM

 

Conferences/Workshops organization

Сhair: · CARLA 2021 - Latin America High Performance Computing Conference. Guadalajara, Mexico, October 6 to 8, 2021. · ICCS-DE 2021 - 3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia,  July 5-9, 2021 · AICTS 2020 - 1st International Workshop on Advanced Information and Computation Technologies and Systems, December 7-10, 2020, Irkutsk, Russia · Euro-Par 2019, Göttingen. Germany. “Topic 3 – Scheduling and Load Balancing”  (CORE Rank A) · InterCloud-HPC 2020 - International Symposium on Cloud Computing and Services for High Performance Computing Systems. In conjunction with 18th International Conference on High Performance Computing & Simulation (HPCS 2020) 26 - 30 October 2020, Barcelona, Spain (CORE Rank B) · ICCS-DE 2020 - 2nd International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia,  July 6–7, 2020 · UCC@CloudCom 2018 - 2nd International Workshop on Uncertainty in Cloud Computing (UCC 2018). In conjunction with 10th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2018). Nicosia, Cyprus, December 10-13, 2018 (CORE Rank C) · InterCloud-HPC 2018 - International Symposium on Cloud Computing and Services for High Performance Computing Systems. As part of The 16th International Conference on High Performance Computing & Simulation (HPCS 2018) July 16 – 20, 2018. Orléans, France (CORE Rank B) · CARLA 2018 - Graduate Symposium (Master and Doctoral Students) of Latin American Conference on High Performance Computing, Piedecuesta, Colombia, September 26 – 28, 2018 · ISUM 2014—5th International Supercomputing Conference in Mexico, Ensenada, Baja California, México, March 18-21, 2014 (with Raul Rivera) · PCS'04 - 3rd International Conference on Parallel Computing Systems. Colima, Mexico (September 19-22, 2004) (along with Klaus Ecker, Denis Trystram, Jacek Blazewicz) in conjunction with  ENC'04 - Mexican International Conference in Computer Science 2004 · PCS'99 - 2nd International Conference on Parallel Computing Systems (August 16-20, 1999) Ensenada, Baja California, Mexico (along with Klaus Ecker and Isaac D. Scherson) · UABC - Workshop  on Parallel Computing, Universidad Autónoma de Baja California. Escuela de Ingeniería, 18 de Mayo, 1999, Ensenada, Baja California, México · UCI-CICESE - Workshop "Research Perspectives in Computational Science" Ensenada, Baja California, Mexico (April 24, 1998) (along with  Isaac D. Scherson) · PCS’97 - International Workshop on Parallel Computation and Scheduling. Ensenada, BC, Mexico (August 18-22, 1997) (along with Klaus Ecker) Publication Chair: · CARLA 2020 Latin America High Performance Computing Conference. Cuenca, Ecuador, September 02-04, 2020  Publicity Chair: · CTCCC 2021 - The 2nd Communication Technologies and Cloud Computing Conference, Edinburgh, United Kingdom, March 17-19, 2021.  · CollaborateCom 2020 16th EAI International Conference on Collaborative Computing: Networking, Applications and Work sharing, October 16-18, 2020 Shanghai, China (CORE Rank C) · CollaborateCom 2019 15th EAI International Conference on Collaborative Computing: Networking, Applications and Work sharing, London, England 2019 (CORE Rank C) · BDCAT 2017 - The 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies Session chair: AICTS 2020, ICCS-DE 2020, EuroPar 2019, En&T 2019, ISPRAS OPEN 2019, CARLA 2019, HPCS 2019, GLOSIC 2018, CARLA 2018, En&T 2018, ISPRAS OPEN 2018, En&T 2017, Carla 2017, UCC 2017, En&T 2017, ISUM 2016, En&T 2015, ISUM 2014, CloudNet 2014, HPCC 2014, ISUM 2013, Extreme Scale 2013, ISUM 2012, PPAM’05, PPAM’03, PCS04, PCS’97, PCS’96 Organizing Committee: · CARLA 2021 - Latin America High Performance Computing Conference. Guadalajara, Mexico, October 6 to 8, 2021. · CTCCC 2021 - The 2nd Communication Technologies and Cloud Computing Conference, Edinburgh, United Kingdom, March 17-19, 2021.  · CollaborateCom 2020 16th EAI International Conference on Collaborative Computing: Networking, Applications and Work sharing, October 16-18, 2020 Shanghai, China (CORE Rank C) · CARLA 2020 Latin America High Performance Computing Conference. Cuenca, Ecuador, September 02-04, 2020  · CollaborateCom 2019 15th EAI International Conference on Collaborative Computing: Networking, Applications and Work sharing, London, England 2019 (CORE Rank C) · BDCAT 2017 - The 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies · ENU-HPC—Encuentro Nacional de Usuarios de Cómputo de Alto Desempeño. 2012 · ISUM 2021, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 20111, 2010- International Supercomputing Conference in Mexico  2019 2018 2017 2016 2015 2014 2013 2012 2011  2010

 

Program Committee member:

2021

OLA2021	The International Conference in Optimization and Learning. Catania, Sicilia, Italy  June 21 to 23, 2021
CTCCC 2021	The 2nd Communication Technologies and Cloud Computing Conference, Edinburgh, United Kingdom, March 17-19, 2021.
ICCS-DE 2021	3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia,  July 5-9, 2021
CARLA 2021	Latin America High Performance Computing Conference. Guadalajara, Mexico, October 6 to 8, 2021.

 

2020

GloSIC’2020	Global Smart Industry Conference. Chelyabinsk, Russia, November 17-19, 2020
ISPRAS OPEN 2020	IEEE Ivannikov ISP RAS Open Conference,  Moscow, Russia. December 10-11, 2020
ISPA 2020	The 18th IEEE International Symposium on Parallel and Distributed Processing with Applications. Exeter, England, UK, 15-17 October, 2020
InterCloud-HPC 2020	International Symposium on Cloud Computing and Services for High Performance Computing Systems. As part of The 18th International Conference on High Performance Computing & Simulation (HPCS 2020) 26 - 30 October 2020, Barcelona, Spain (CORE Rank B)
UCC 2020	13th IEEE/ACM International Conference on Utility and Cloud Computing. Leicester, UK,  December 7-10, 2020
CloudCom 2020 Track 4	Edge Computing, IoT and Distributed Cloud Track of  The 12th IEEE International Conference on Cloud Computing Technology and Science, Bangkok, Thailand, December 14-17, 2020
ICSC-CITIES 2020	III Ibero-American Congress on Smart Cities, San José, Costa Rica, October 9-11, 2020
ICCS 2020	International Conference on Computational Science 2020. Amsterdam, Netherlands, June 3-5, 2020 (CORE Rank A)
PDCO 2020	10th IEEE Workshop Parallel / Distributed Computing and Optimization, as part of the IPDPS 2020 - 34nd IEEE/ACM International Parallel and Distributed Processing, New Orleans, USA. May 18-22, 2020 (CORE Rank A)
CARLA 2020 HPC_AI2020	Latin America High Performance Computing Conference. Cuenca, Ecuador, September 02-04, 2020
CARLA 2020 HPC Track	Latin America High Performance Computing Conference. Cuenca, Ecuador, September 02-04, 2020
CollaborateCom 2020	16th EAI Inter. Conference on Collaborative Computing: Networking, Applications and Work sharing, October 16-18, 2020 Shanghai, China (CORE Rank C)
ICCS-DE 2020	2nd International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia,  July 6–7, 2020
IVMEM2020	Ivannikov Memorial Workshop 2020, Orel, Russia, September 25-26, 2020
SPU 2020	Solving Problems with Uncertainties workshop. In conjunction with 21th International Conference on Computational Science (ICCS 2020), Amsterdam, The Netherlands, 3 - 5 Jun 2020, (CORE Rank A)

2019

En&T-2019	6th international conference “Engineering and Telecommunication”, Moscow/Dolgoprudny. Russia, November 21-22, 2019
BDCloud 2019	The 9th IEEE International Conference on Big Data and Cloud Computing,  Xiamen, China, December 16-18, 2019
ISPA 2019	The 17th IEEE International Symposium on Parallel and Distributed Processing with Applications.  Xiamen, China, December 16-18, 2019
ISPRAS OPEN 2019	IEEE Ivannikov ISP RAS Open Conference,  Moscow, Russia. December 5-6, 2019
IVMEM2019	Ivannikov Memorial Workshop 2019. Velikiy Novgorod, Russia, September 13-14, 2019
WSCAD 2019	XX Symposium on High-Performance Computing Systems.  São Paulo, Brazil. October 16-18, 2019
CloudCom 2019	11th IEEE International Conference on Cloud Computing Technology and Science. Sydney, Australia, 11-13 December 2019 (CORE Rank C)
IMW 2019	IEEE Ivannikov Memorial Workshop  Velikiy Novgorod, Russia, September 13-14, 2019
CARLA 2019	Latin America High Performance Computing Conference, Turrialba, Costa Rica, September 25-27, 2019
CARLA 2019 (Posters)	Latin America High Performance Computing Conference. CARLA Poster Session 2019, Turrialba, Costa Rica, September 25-27, 2019
HPC2019	High Performance Computing (HPC).  Latin America High Performance Computing Conference (CARLA) 2019: Turrialba, Costa Rica, Sept. 25-27, 2019
UCC 2019	12th IEEE/ACM International Conference on Utility and Cloud Computing, Auckland, New Zealand, December 2-5, 2019
SPC 2019	Workshop on Scheduling for Parallel Computing. PPAM 2019 - 13th International Conference on Parallel Processing and Applied Mathematics, Bialystok, Poland, September 8-11, 2019 (CORE Rank C)
ICCS-DE 2019	1st International Workshop on Information, Computation, and Control Systems for Distributed Environments, Irkutsk, Russia,  July 8–9, 2019
ICSC-CITIES 2019	II Ibero-American Congress of Smart Cities. Soria, Spain,  October 7-9, 2019
WSC 2019	Winter Simulation Conference. Simulation for Risk Management. National Harbor, Maryland, USA. December 8-11, 2019
COMTEL 2019	XI Int. Conference on Computer Science and Telecommunication (XI Congreso Internacional de Computación y Telecomunicaciones), Lima - Perú, October 16-18, 2019
ICA3PP 2019	19th International Conference on Algorithms and Architectures for Parallel Processing, Melbourne, Australia, December  9-11, 2019
ADVCOMP 2019	The Thirteenth International Conference on Advanced Engineering Computing and Applications in Sciences. Porto, Portugal, September 22 - 26, 2019
IC3 2019	Twelfth International Conference on Contemporary Computing, Noida, Uttar Pradesh, India, August 8-12, 2019
PDCO 2019	9th IEEE Workshop Parallel / Distributed Computing and Optimization, as part of the IPDPS 2019 - 33nd IEEE/ACM International Parallel and Distributed Processing, Rio de Janeiro, Brazil May 20-24, 2019 (CORE Rank A)
CCGRID 2019 (Doctoral Symp)	19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. Cyprus, May 14-17, 2019 (CORE Rank A)
SPU 2019	Solving Problems with Uncertainties workshop. In conjunction with 20th International Conference on Computational Science (ICCS 2019), Faro, Algarve, Portugal, 12-14 June, 2019 (CORE Rank A)
CollaborateCom 2019	15th EAI International Conference on Collaborative Computing: Networking, Applications and Work sharing, London, England 2019
ICAI 2019	2nd International Conference on Applied Informatics. Bogota, Colombia, November 7-9, 2019
Euro-Par 2019	Scheduling and Load Balancing, in conjunction with Euro-Par 2019, Göttingen.August 26 - 30,  2019 Topic 3
SPC 2019	Workshop on Scheduling for Parallel Computing (SPC), PPAM 2019 - 13th International Conference on Parallel Processing and Applied Mathematics, Bialystok, Poland, Sept. 8-11, 2019 (CORE Rank C)
PPAM 2019	13th International Conference on Parallel Processing and Applied Mathematics, Bialystok, Poland, September 8-11, 2019 (CORE Rank C)
IPDPS 2019	33rd IEEE International Parallel & Distributed Processing Symposium. Rio de Janeiro, Brazil May 20-24, 2019, Track ALGORITHMS: Parallel and distributed computing theory and algorithms
CCGRID 2019 (Edge Comp)	19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. Cyprus, May 14-17, 2019 (CORE Rank A)

2018

WSCAD 2018	XIX Symposium on High-Performance Computing Systems.  São Paulo, Brazil. October 1-3, 2018
CollaborateCom 2018	14th EAI Inter. Conference on Collaborative Computing: Networking, Applications and Worksharing, Shanghai, China, November 1-3, 2018
ISPRAS OPEN 2018	IEEE Ivannikov ISPRAS Open Conference,  Moscow, Russia. November 22-23, 2018
CloudCom 2018 UCC 2018	2nd Inter. Workshop on Uncertainty in Cloud Computing. In conjunction with 10th IEEE Inter. Conference on Cloud Computing Technology and Science (CloudCom 2018). Nicosia, Cyprus, December 10-13, 2018 (CORE Rank C)
GLOSIC 2018	The 2018 Global Smart Industry Conference.  Chelyabinsk, Russa, November 13-15, 2018
ISPA 2018	The 16th IEEE Inter. Symposium on Parallel and Distributed Processing with Applications.  Melbourne, Australia, December 11-13, 2018
CARLA 2018	Latin American Conference on High Performance Computing, Piedecuesta, Colombia, September 26 – 28, 2018
ICSC-CITIES 2018	I Ibero-American Congress on Smart Cities. Soria, Spain, September 26-27, 2018
ADVCOMP 2018	The Twelfth Inter. Conference on Advanced Engineering Computing and Applications in Sciences. November 18 - 22, 2018 - Athens, Greece
En&T 2018	5th Inter. Conference “Engineering & Telecommunication” Moscow, November 15-16, 2018
RESCUE-2018	The 4th Inter. Workshop on Resilient Computing Platforms and Technologies for Disaster Management in conjunction  20th IEEE Inter. Conference on High Performance Computing and Communications (HPCC 2018) , Exeter, England, UK, 28-30 June 2018. (CORE Rank B)
ICAI 2018	1st Inter. Conference on Applied Informatics. Bogota, Colombia, November 1-3, 2018
CloudCom 2018	10th IEEE Inter. Conference on Cloud Computing Technology and Science. (Track 4: "Edge Computing and Distributed Cloud" ) - Nicosia, Cyprus, December 10-13, 2018 (CORE Rank C)
COMTEL 2018	X Int. Conference on Computer Science and Telecommunication (X Congreso Internacional de Computación y Telecomunicaciones), Lima - Perú, October 17-19, 2018
ICA3PP 2018	18th Inter. Conference on Algorithms and Architectures for Parallel Processing, Nov 15-17, 2018, Guangzhou, China
ICSC 2018	1st Ibero-American Congress on Smart Cities. I Congreso Iberoamericano de Ciudades Inteligentes. September 26-27, 2018. Soria, Castilla y León, España.
SPU 2018	Solving Problems with Uncertainties workshop. In conjunction with 18th Inter. Conference on Computational Science (ICCS 2018), Wuxi, China, June 11-13, 2018 (CORE Rank A)
UCC 2018	11th IEEE/ACM Inter. Conference on Utility and Cloud Computing, December 17-20, 2018 – Zurich, Switzerland
InterCloud-HPC 2018	Inter. Symposium on Cloud Computing and Services for High Performance Computing Systems. As part of The 16th Inter. Conference on High Performance Computing & Simulation (HPCS 2018) July 16 – 20, 2018, Orléans, France (CORE Rank B)
IC3 2018	Eleventh Inter. Conference on Contemporary Computing, Noida, Uttar Pradesh, India, August 2-4, 2018
PDCO 2018	8th IEEE Workshop Parallel / Distributed Computing and Optimization, as part of the IPDPS 2018 - 32nd IEEE/ACM Inter. Parallel and Distributed Processing, Vancouver, Canada, May 21-25, 2018  (CORE Rank A)

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