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Publication list
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Journal papers
Under Review
· 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. Peer-to-Peer Networking and Applications. Special Issue on Advances in Privacy-Preserving Computing. Springer, 2020. IF 2.793 Q2
· 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. The Multidisciplinary Open Access Journal. IF 4.096 Q1.
· 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. Priority based dynamic multi-objective resource allocation in containerized clouds. IEEE Access. The Multidisciplinary Open Access Journal. IF 4.096 Q1.
· 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. Future Generation Computer Systems. IF: 6.125, Q1 (Scopus: Q1)
· Mikhail Babenko, Maxim Deryabin, Nikolay Chervyakov, Andrei Tchernykh, Stanislaw Piestrak, Piotr Patronikm, Arutyun Avetisyan. RNS Number Comparator Based on a Modified Diagonal Function. (under submission)
· 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 (under submission)
· 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 (under submission)
Accepted
2020
· 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, 2020 © Springer IF 0.75, Q4 (Scopus: Q3)
· Jonathan Muraña, Sergio Nesmachnow, Santiago Iturriaga, Sebastián Montes de Oca, Gonzalo Belcredi, Pablo Monzón, Vladimir Shepelev, Andrei Tchernykh. Negotiation approach for datacenters and supercomputing facilities in smart electricity markets. Programming and Computer Software, v. 46, 7, 2020. Springer IF 0.75, Q4 (Scopus: Q3)
· 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, 2020, © Springer IF 0.75, Q4 (Scopus: Q3)
Published
2020
1. 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. Special Issue on Software Engineering Research and Practices for the Internet of Things, 2020, p. 1-1. DOI: 10.1109/JIOT.2020.2981276 https://ieeexplore.ieee.org/document/9037363 IF: 9.936, Q1 (Scopus: Q1, top 1)
2. 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 2.39 Q2, (Scopus: Q1, top 25)
3. 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 0.591. Q4 (Scopus: Q3)
4. 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: 6.125, Q1 (Scopus: Q1, top 4)
2. Allel Hadjali, Haithem Mezni, Sabeur Aridhi, Andrei Tchernykh. Editorial. International 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 2.678. 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: 2.644, Q2 (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: 2.644, Q2 (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: 1.930, Q2 (Scopus: Q1, top 19) (PDF)
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: 0.75, 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 0.75, Q4 (Scopus: Q3)
11. Santiago Iturriaga, Sergio Nesmachnow, Gerardo Goñi, Bernabé Dorronsoro, Andrei Tchernykh. Soft computing methods for design and optimization of cloud-based Content Distribution Networks. Programming and Computer Software, Vol. 45, No. 8, pp. 544-556. 2019 © Springer. DOI:10.1134/S0361768819080127. IF 0.75, 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) (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 3.028, 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 2.678. 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: 0.75, 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) (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) (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 (Scopus: Q4)
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 2.8, 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 Power Aware Scheduling. ISSN 0361-7688, Programming and Computer Software, 2017, Vol. 43, No. 3, pp. 204–215. © Springer. 2017 https://link.springer.com/article/10.1134/S0361768817030021, (PDF) IF 0.75, 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 3.991, 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 2.8, 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 2.8, 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 2.638, Q2 (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. N.I. Chervyakov M.G. Babenko , A.N. Tchernykh, V.A. Kuchukov, M.A. 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 International 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 International 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: 6.125, 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: 0.0862 (2011, JCR Master Journal List) (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: 0.0862 (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: 0.0862 (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: 2.8, 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: 6.125, 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: 2.8, Q1 (Scopus: Q1)
2010-...
1. Andrei Tchernykh, Uwe Schwiegelsohn, Ramin Yahyapour, Nikolay Kuzjurin "Online 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: 1.297, Q3 (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: 3.195, Q1 (Scopus: Q1, top 4)
3. C. Brizuela, L.C. Gonzalez-Gurrola, Andrei Tchernykh, and D. 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:1.623. 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: 0.932, Q3. (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: 0.346, Q4 (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 (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 IF: 0.217, Q4 (2011 JCR Science Edition) (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 IF: 0.217, Q4 (2011, JCR Science Edition) (Scopus: Q3)
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: 0.897, 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: 3.428. Q1 (Scopus: Q1)
11. M. Mozerov, V. Kober, Andrei Tchernykh, T.S. Choi. Motion estimation with a modified dynamic programming. SPIE, Optical Engineering, Vol. 41, No. 10, p. 2592-2598, 2002 ISSN: 0091-3286, 5-YEAR IF: 0.984, Q3 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: 0.0862 (2011, JCR Master Journal List) (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: 0.0862 (2011, JCR Master Journal List) (Scopus: Q3) (PDF, 2.24 MB)
15. A.M.Stepanov. Andrei N.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 (under review)
· 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. SPCLOUD 2020 - The 5th International Workshop on Security, Privacy and Performance of Cloud Computing. In conjunction with 18th International Conference on High Performance Computing & Simulation (HPCS 2020) 26 - 30 October 2020, Barcelona, Spain (CORE Rank B)
· 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. SPCLOUD 2020 - The 5th International Workshop on Security, Privacy and Performance of Cloud Computing. In conjunction with 18th International Conference on High Performance Computing & Simulation (HPCS 2020) 26 - 30 October 2020, Barcelona, Spain (CORE Rank B)
· 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
· 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. 9-11 December 2020, Bahía Blanca, Argentina
· Mikhail Babenko, Andrei Tchernykh, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Nguyen Viet Hung. NeuroNode Based on Residue Number System to Optimization of a Secure Cloud Computing. 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)
· Mikhail Babenko, Egor Shiriaev, Andrei Tchernykh, Elena Golimblevskaia. RNS Base Extension Error-Correcting Code for Enhanced Performance of Distributed Cloud Storages. 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)
· 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) 26 - 30 October 2020, Barcelona, Spain (CORE Rank B)
· 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) 26 - 30 October 2020, Barcelona, Spain (CORE Rank B)
· Mikhail Babenko, E Shiriaev, Andrei Tchernykh, Elena Golimblevskaia, Nikolay Kucherov. Efficient method for detecting, localizing and correcting errors in RNS based on error syndrome. MSR-2020 - The International Conference «Marchuk Scientific Readings 2020», Novosibirsk, Russia, October 19 - 23, 2020
· Mikhail Babenko, Aziz Redvanov, 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. Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge Mario Cortés-Mendoza, Mikhail Babenko, Gleb Radchenko. A Survey on Privacy-Preserving of 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
2. 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. RusSCDays 2020 - Russian Supercomputing Days. Moscow, Russia, September 21-22, 2020
3. 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 (accepted)
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. 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)
3. 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
4. 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, 5-7 December 2019 DOI: 10.1109/PDCAT46702.2019.00066, https://ieeexplore.ieee.org/document/9029149
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. 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
2. 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
3. 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 http://ceur-ws.org/Vol-2430/ (PDF)
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. 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
6. 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)
7. 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.
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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. Alexey Podkoritov, Ksenia Repina, Gleb Radchenko and Andrei Tchernykh. Dataflow adapter: a tool for integrating legacy applications into distributed stream processing. UCC 2018 - 11th IEEE/ACM Utility and Cloud Computing, Zurich, Switzerland, December 17-20, 2018 (accepted)
5. 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, September 26-27, 2018 (accepted)
6. 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)
7. 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
8. 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)
9. 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)
10. Alexander Feoktistov, Ivan Sidorov, Andrei Tchernykh, Alexei Edelev, Valery Zorkalzev, Roman Kostromin, Sergey Gorsky, Igor Bychkov, Arutyun Avetisyan. Multi-Agent Approach to Providing 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)
11. 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)
12. 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/
13. 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)
14. 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)
15. 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)
16. 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)
17. 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)
18. 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
19. 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
20. 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 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 (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. , 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. (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 4th, 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 (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 (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 (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 (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
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