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Nombre: Chernykh ,  Andrey
Departamento: Ciencias de la Computación
División: Física Aplicada
Extensión: 23426
Página personal:

  • Nikitina, N., Ivashko, E., & Tchernykh, A. (2017). Congestion Game Scheduling for Virtual Drug Screening Optimization. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 1-12. doi: 10.1007/s10822-017-0093-7. (ID: 23158)
  • Ramírez Velarde, R., Tchernykh, A., Barba Jiménez, C., Hirales Carbajal, A., & Nolazco, J. (2017). Adaptive Resource Allocation with Job Runtime Uncertainty. Journal of Grid Computing, 15(4), 415-434. doi: 10.1007/s10723-017-9410-6. (ID: 22624)
  • Chervyakov, N., Babenko, M., Tchernykh, A., Kucherov, n., Miranda López, V., & Cortés Mendoza, J. M. (2017). AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. Future Generation Computer Systems, 1-13. doi: 10.1016/j.future.2017.09.061. (ID: 22655)
  • Armenta Cano, F. A., Tchernykh, A., Cortés Mendoza, J. M., Yahyapour, R., Drozdov, A. Y., Bouvry, P., Kliazovich, D., Avetisyan, A., & Nesmachnow, S. (2017). Min_c: Heterogeneous Concentration Policy for Energy-Aware Scheduling of Jobs with Resource Contention. PROGRAMMING AND COMPUTER SOFTWARE, 43(3), 204-215. doi: 10.1134/S0361768817030021. (ID: 22657)
  • Garay, G. R., Tchernykh, A., Drozdov, A. Y., Garichev, S., Nesmachnow, S., & Torres Martínez, M. (2017). Visualization of VHDL-based Simulations as a Pedagogical Tool for Supporting Computer Science Education. Journal of Computational Science, 1-8. doi: 10.1016/j.jocs.2017.04.004. (ID: 22656)
  • Chervyakov, N., Babenko, M., Tchernykh, A., Kuchukov, V. A., Deryabin, M. A., & Kuchukova, N. N. (2016). Development of a new method for computing modular multiplication in the residue number system. Neurocomputers: development, application, (10), 41-48. (ID: 21162)
  • Tchernykh, A., Schwiegelshohn, U., Talbi, E., & Babenko, M. (2016). Towards Understanding Uncertainty in Cloud Computing with risks of Confidentiality, Integrity and Availability. Journal of Computational Science. doi: 10.1016/j.jocs.2016.11.011. (ID: 20826)
  • Massobrio, R., Nesmachnow, S., Tchernykh, A., Avetisyan, A., & Radchenko, G. (2016). Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities. Proceedings of the Institute for System Programming of the RAS, 28(6), 121-140. doi: 10.15514/ISPRAS-2016-28(6)-9. (ID: 22670)
  • Sergiyenko, O., Ivanov, M. V., Tyrsa, V. V., Kartashov, V. M., Rivas-López, M., Hernández Balbuena, D., Flores Fuentes, W., Rodríguez Quiñonez, J. C., Nieto Hipólito, J. I., Hernandez, W., & Tchernykh, A. (2016). Data transferring model determination in robotic group. ROBOTICS AND AUTONOMOUS SYSTEMS, 83, 251-260. doi: 10.1016/j.robot.2016.04.003. (ID: 20823)
  • Cortés Mendoza, J. M., Tchernykh, A., Armenta Cano, F. A., Bouvry, P., Drozdov, A. Y., & Didelot, L. (2016). Bi-objective VoIP Service Management in Cloud Infrastructure. Scientific Programming, 2016. doi: 10.1155/2016/5706790. (ID: 19956)
  • Barba Jiménez, C., Ramírez Velarde, R., Tchernykh, A., Rodriguez Dagnino, R., Nolazco, J., & Perez Cacerez, R. (2016). Cloud Based Video-on-Demand Service Model Ensuring Quality of Service and Scalability. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 70, 102-113. doi: 10.1016/j.jnca.2016.05.007. (ID: 19953)
  • Cortés Mendoza, J. M., Tchernykh, A., Simionovici, A., Bouvry, P., Nesmachnow, S., Dorronsoro, B., & Didelot, L. (2015). VoIP service model for multi-objective scheduling in cloud infrastructure. International Journal of Metaheuristics, 4(2), 185-203. doi: 10.1504/IJMHEUR.2015.074251. (ID: 19904)
  • Garay, G. R., Tchernykh, A., & Drozdov, A. Y. (2015). Comparative Analysis of Frameworks for the Performance Evaluation of Multi-tier Cloud Applications. Proceedings of the Institute for System Programming of the RAS, 27(6), 199-224. doi: 10.15514/ISPRAS-2015-27(6)-14. (ID: 22671)
  • Tchernykh, A., Lozano Guzmán, L. M., Schwiegelshohn, U., Bouvry, P., Pecero, J. E., Nesmachnow, S., & Drozdov, A. Y. (2015). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Journal of Grid Computing, 1-18. doi: 10.1007/s10723-015-9340-0. (ID: 19900)
  • Kliazovich, D., Pecero, J. E., Tchernykh, A., Bouvry, P., Khan, S., & Zomaya, A. Y. (2015). CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing. Journal of Grid Computing, 1-17. doi: 10.1007/s10723-015-9337-8. (ID: 19898)
  • Yaurima Basaldua, V. H., Tchernykh, A., & Torres Martínez, M. (2013). Análisis comparativo de algoritmos genéticos aplicados a calendarización de trabajos en un Grid computacional. Research in Computing Science, 63, 89-99. (ID: 15866)
  • Tchernykh, A., Pecero, J. E., Barrondo Corral, A., & Schaeffer, E. (2013). Adaptive energy efficient scheduling in Peer-to-Peer desktop grids. Future Generation Computer Systems. doi: 10.1016/j.future.2013.07.011. (ID: 16188)
  • Lezama Barquet, A., Tchernykh, A., & Yahyapour, R. (2013). Performance evaluation of infrastructure as service clouds with SLA constraints. Computación y Sistemas, 17(3), 401-411. (ID: 16809)
  • González García, J. L., Yahyapour, R., & Tchernykh, A. (2013). Load balancing for parallel computations with the finite element method. Computación y Sistemas, 17(3), 299-316. (ID: 16811)
  • Tchernykh, A., Luna García, R., & Ramírez Alcaraz, J. M. (2013). Editorial: Special issue on supercomputing in México: applications and technologies. Computación y Sistemas, 17(3), 285-288. (ID: 16810)
  • Quezada Pina, A. A., Tchernykh, A., González García, J. L., Hirales Carbajal, A., Ramírez Alcaraz, J. M., Schwiegelshohn, U., Yahyapour, R., & Miranda López, V. (2012). Adaptive parallel job scheduling with resource admissible allocation on two-level hierarchical grids. Future Generation Computer Systems, 28(7), 965-976. doi: 10.1016/j.future.2012.02.004. (ID: 15072)
  • Hirales Carbajal, A., Tchernykh, A., Yahyapour, R., González García, J. L., Röblitz, T., & Ramírez Alcaraz, J. M. (2012). Multiple workflow scheduling strategies with user run time estimates on a Grid. Journal of Grid Computing, 10(2), 325-346. doi: 10.1007/s10723-012-9215-6. (ID: 16100)
  • Ramírez Alcaraz, J. M., Tchernykh, A., Yahyapour, R., Schwiegelshohn, U., Quezada Pina, A. A., González García, J. L., & Hirales Carbajal, A. (2011). Job allocation strategies with user run time estimates for online scheduling in hierarchical grids. Journal of Grid Computing, 9(1), 95-116. doi: 10.1007/s10723-011-9179-y. (ID: 15818)
  • Tchernykh, A., Schwiegelshohn, U., Yahyapour, R., & Kuzjurin, N. (2010). On-line hierarchical job scheduling on grids with admissible allocation. Journal of Scheduling, 13(5), 545-552. doi: 10.1007/s10951-010-0169-x. (ID: 14021)
  • Yaurima Basaldua, V. H., Burtseva, L., & Tchernykh, A. (2008). Hybrid flowshop with unrelated machines, sequence dependent setup time, availability constraints and limited buffers. Computers & Electrical Engineering. doi: 10.1016/j.cie.2008.09.004. (ID: 10340)
  • Tchernykh, A., & Ecker, K. (2008). Worst case behavior of list algorithms for dymanic scheduling of non-unit execution time tasks with arbitrary precedence constrains. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E91-A(8), 2277-2280. (ID: 10341)
  • Tchernykh, A., Schwiegelshohn, U., Yahyapour, R., & Kazjurin, N. (2008). Online hierarchical job scheduling on grids. In Thierry Priol, Marco Vanneschi (Eds.), From Grids to Service and Pervasive Computing (pp. 77-91). Springer. (ID: 10343)
  • Tchernykh, A., Cristobal Salas, A., Kober, V., & Ovseyevich, I. A. (2007). Partial evaluation technique for distributed image processing. Pattern Recognition and Image Analysis, 17(3), 390-398. doi: 10.1134/S1054661807030054. (ID: 10448)
  • Tchernykh, A., & Trystram, D. (2004). Online scheduling for multiprocessor jobs with idle regulation. In R. Wyrzykowski et al. (Eds.), Parallel Processing and Applied Mathematics (pp. 131-144). Springer-Verlag. (ID: 5351)
  • Cristobal Salas, A., & Tchernykh, A. (2004). I-structure software cache for distributed applications. DYNA, 71(141), 67-74. (ID: 8250)
  • Tchernykh, A., Stepanov, A. M., Lupenko, A. I., & Tchernykh, N. G. (2003). Abstract network machine: parallel computation on associative networks with incompete data structures. DYNA, 70(140), 71-88. (ID: 7129)
  • Cristobal Salas, A., Tchernykh, A., & Gaudiot, J. L. (2003). Non-strict evaluation of the FFT algorithm in distributed memory systems. In Jack Dongarra, Doménico Laforenza, Salvatore Orlando. (Eds.), Recent Advances in Parallel Virtual Machine and Message Passing Interface (pp. 188-195). Springer-Verlag. (ID: 6908)
  • Rodriguez Diaz, A., Tchernykh, A., & Ecker, K. (2003). Algorithms for dynamic scheduling of unit execution time tasks. European Journal of Operational Research, (146), 403-416. (ID: 4980)
  • Cristobal Salas, A., Tchernykh, A., Gaudiot, J. L., & Lin, W. Y. (2003). Non-strict execution in parallel and distributed computing. International Journal of Parallel Programming, 31(2), 77-105. (ID: 6746)
  • Mozerov, M., Kober, V., Tchernykh, A., & Choi, T. S. (2002). Motion estimation using modified dynamic programming. Optical Engineering, 41(10), 2592-2598. (ID: 5651)
  • Tchernykh, A., Ecker, K., & Tchernykh, N. G. (2001). MSF Algorithm of dynamic tasks distribution. Information Technology and Computer Systems, 3(2), 83-98. (ID: 2755)
  • Tchernykh, A., Stepanov, A. M., Rodriguez Diaz, A., & Scherson, I. (2000). Parallel computation in Abstract Network Machine. ACM Computing Surveys, 4(2), 143-157. (ID: 5927)
  • Stepanov, A. M., Lupenko, A. I., Tchernykh, A., & Tchernykh, N. G. (1998). Dynamic partial evaluation as declarative program parallelizing and optimizing technique. Information Technology and Computer Systems, 1(4), 32-41. (ID: 6625)

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