Usted está aquí: Inicio->Investigación->Computación->Personal académico
flash departamento

Datos personales
Nombre: Chernykh ,  Andrey
Categoría: INVESTIGADOR TITULAR
SNI: INVESTIGADOR II
Departamento: Ciencias de la Computación
División: Física Aplicada
Correo: chernykh@cicese.mx
Extensión: 00000
Página personal: http://usuario.cicese.mx/~chernykh
Proyectos
Laboratorios

Publicaciones
2023
  • Feoktistov, A., Edelev, A., Chernykh, A., Gorsky, S., Basharina, O., & Fereferov, E. (2023). An Approach to Implementing High-Performance Computing for Problem Solving in Workflow-Based Energy Infrastructure Resilience Studies. Computation, 11(12), 243. doi: 10.3390/computation11120243. (ID: 29296)
  • Nesmachnow , S., & Chernykh, A. (2023). The Impact of the COVID-19 Pandemic on the Public Transportation System of Montevideo, Uruguay: A Urban Data Analysis Approach. Urban Science, 7(4), 113. doi: 10.3390/urbansci7040113. (ID: 29297)
  • Nesmachnow , S., Massobrio, R., Guridi, S., Olmedo, S., & Chernykh, A. (2023). Big Data Analysis for Travel Time Characterization in Public Transportation Systems. Sustainability, 15(19), 14561. doi: 10.3390/su151914561. (ID: 29295)
  • Pulido Gaytan, L. B., Chernykh, A., Leprevost, F., Bouvry, P., & Goldman, A. (2023). Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison. IEEE Access, 11, 102189-102206. doi: 10.1109/ACCESS.2023.3315655. (ID: 29291)
  • Babenko, M., Golimblevskaia, E., Chernykh, A., Shiriaev, E., Ermakova, T., Pulido Gaytan, L. B., VALUEV, G., Avetisyan, A., & Gagloeva, L. A. (2023). A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption. Big Data and Cognitive Computing, 7(2), 84. doi: 10.3390/bdcc7020084. (ID: 29301)
  • Gladkov, A., Shiriaev, E., Chernykh, A., deryabin, m., & Babenko, M. (2023). DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems. Sensors, 23(7), 3738. doi: 10.3390/s23073738. (ID: 29294)
  • VALUEV, G., VALUEVA, M., Babenko, M., & Chernykh, A. (2023). Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System. IEEE Access, 11, 26807-26819. doi: 10.1109/ACCESS.2023.3258689. (ID: 29289)
2022
  • Gladkov, A., Kuchukov, V., Babenko, M., Chernykh, A., Berezhnoy, V., & Drozdov, A. Y. (2022). Modified Error Detection and Localization in the Residue Number System. PROGRAMMING AND COMPUTER SOFTWARE, 48, 598¿605. doi: 10.1134/S0361768822080126. (ID: 28704)
  • VALUEVA, M., VALUEV, G., Babenko, M., Chernykh, A., & Cortés Mendoza, J. M. (2022). Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. PROGRAMMING AND COMPUTER SOFTWARE, 48, 735¿744. doi: 10.1134/S0361768822080217. (ID: 28705)
  • Vershkov, N., Babenko, M., Chernykh, A., Kuchukov, V., Kucherov, n., Kuchukova, N. N., & Drozdov, A. Y. (2022). Optimization of Artificial Neural Networks using Wavelet Transforms. PROGRAMMING AND COMPUTER SOFTWARE, 48(6), 376-384. doi: 10.1134/S036176882206007X. (ID: 28226)
  • VALUEVA, M., VALUEV, G., Babenko, M., Chernykh, A., & Cortés Mendoza, J. M. (2022). Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. Proceedings of the Institute for System Programming of the RAS, 34(3), 61-74. doi: 10.15514/ISPRAS-2022-34(3)-5. (ID: 28254)
  • Babenko, M., Chernykh, A., Pulido Gaytan, L. B., Avetisyan, A., Nesmachnow , S., Wang, X., & Granelli, F. (2022). Towards the sign function best approximation for secure outsourced computations and control. Mathematics, 10(12), 2006. doi: 10.3390/math10122006. (ID: 28212)
  • Sanchez Gallegos, D. D., Gonzalez Compean, J. L., Carretero, J., Marin, H., Chernykh, A., & Montella, R. (2022). PuzzleMesh: A puzzle model to build mesh of agnostic services for edge-fog-cloud. IEEE Transactions on Services Computing, 1 - 1. doi: 10.1109/TSC.2022.3175057. (ID: 28225)
  • Peña Morales, D., Chernykh, A., Dorronsoro, B., & Ruiz, P. (2022). A novel multi-objective optimization approach to guarantee equality of service and energy efficiency in a heterogeneous bus fleet system. ENGINEERING OPTIMIZATION. doi: 10.1080/0305215X.2022.2055007. (ID: 28213)
  • Chernykh, A., Babenko, M., Shiriaev, E., Pulido Gaytan, L. B., Cortés Mendoza, J. M., Avetisyan, A., Drozdov, A. Y., & Kuchukov, V. (2022). An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. Computation, 10(2), 17. doi: 10.3390/computation10020017. (ID: 27459)
  • Canosa Reyes, R. M., Chernykh, A., Cortés Mendoza, J. M., Pulido Gaytan, L. B., Rivera Rodríguez, R., Lozano Rizk, J. E., Concepción Morales, E., Castro Barrera, H. E., Barrios Hernandez, C. B., Medrano Jaimes, H. F., Avetisyan, A., Babenko, M., & Drozdov, A. Y. (2022). Dynamic performance¿Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds. PLoS ONE, 17(1), e0261856. doi: 10.1371/journal.pone.0261856. (ID: 27456)
  • Babenko, M., Nazarov, A., deryabin, m., Kucherov, n., Chernykh, A., Viet Hung, N., Avetisyan, A., & Toporkov, V. (2022). Multiple Error Correction in Redundant Residue Number Systems: A Modified Modular Projection Method with Maximum Likelihood Decoding. Applied Sciences, 12(1), 463. doi: 10.3390/app12010463. (ID: 27453)
2021
  • Garate, B., Diaz, S., Iturriaga, S., Nesmachnow , S., Shepelev , V., & Chernykh, A. (2021). Autonomous Swarm of Low-Cost Commercial Unmanned Aerial Vehicles for Surveillance. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 558-577. doi: 10.1134/S0361768821080120. (ID: 27470)
  • Babenko, M., Nazarov, A., Chernykh, A., Pulido Gaytan, L. B., Cortés Mendoza, J. M., & Vashchenko, i. (2021). Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 839-848. doi: 10.1134/S0361768821080089. (ID: 27479)
  • Alaasam, A., Radchenko, G., & Chernykh, A. (2021). Refactoring the Monolith Workflow into Independent Micro-Workflows to Support Stream Processing. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 591-600. doi: 10.1134/S0361768821080077. (ID: 27475)
  • Vershkov, N., Babenko, M., Chernykh, A., Pulido Gaytan, L. B., Cortés Mendoza, J. M., Kuchukov, V., & Kuchukova, N. N. (2021). Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 830-838. doi: 10.1134/S0361768821080272. (ID: 27474)
  • Volkov, I., Radchenko, G., & Chernykh, A. (2021). Digital Twins, Internet of Things and Mobile Medicine: A Review of Current Platforms to Support Smart Healthcare. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 578-590. doi: 10.1134/S0361768821080284. (ID: 27472)
  • Feoktistov, A., Kostromin, R., Gorsky, S., Bychkov, I., Chernykh, A., & Basharina, O. (2021). Algorithms for Planning on Computational Model with Redundancy and Uncertainty. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 601-614. doi: 10.1134/S0361768821080119. (ID: 27471)
  • Chernykh, A., Babenko, M., Avetisyan, A., & Drozdov, A. Y. (2021). En-AR-PRNS: Entropy-Based Reliability for Configurable and Scalable Distributed Storage Systems. Mathematics, 10(1), 84. doi: 10.3390/math10010084. (ID: 27451)
  • Kirsanova, A., Radchenko, G., & Chernykh, A. (2021). Fog Computing State of the Art: Concept and Classification of Platforms to Support Distributed Computing System. Supercomputing Frontiers and Innovations, 8(3), 17-50. doi: 10.14529/jsfi210302. (ID: 27466)
  • Alaasam, A., Radchenko, G., & Chernykh, A. (2021). Micro-Workflows Data Stream Processing Model for Industrial Internet of Things. Supercomputing Frontiers and Innovations, 8(1), 82-98. doi: 10.14529/jsfi210106. (ID: 27469)
  • Pulido Gaytan, L. B., Chernykh, A., Cortés Mendoza, J. M., Babenko, M., Radchenko, G., Avetisyan, A., & Drozdov, A. Y. (2021). Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. Peer-to-Peer Networking and Applications, 14(1), 1666¿1691. doi: 10.1007/s12083-021-01076-8. (ID: 27463)
  • Chernykh, A., Bychkov, I., Feoktistov, A., Gorsky, S., Sidorov, I., Kostromin, R., Edelev, A., Zorkalzev, V., & Avetisyan, A. (2021). Mitigating Uncertainty in Developing Scientific Applications in Integrated Environment. Proceedings of the Institute for System Programming of the RAS, 33(1), 151-172. doi: 10.15514/ISPRAS-2021-33(1)-11. (ID: 27482)
  • Alaasam, A., Radchenko, G., Chernykh, A., & González-Compeán, J. (2021). Stateful Stream Processing Containerized as Microservice to Support Digital Twins in Fog Computing. Proceedings of the Institute for System Programming of the RAS, 33(1), 65-80. doi: 10.15514/ISPRAS-2021-33(1)-5. (ID: 27484)
  • Muraña, J., Nesmachnow , S., Iturriaga , S., Montes de Oca, S., Belcredi, G., Monzón, P., Shepelev , V., & Chernykh, A. (2021). Smart grid demand response strategies for datacenters. Proceedings of the Institute for System Programming of the RAS, 32(2), 125-136. doi: 10.15514/ISPRAS-2021-33(2)-7. (ID: 27483)
2020
  • Chernykh, A., Bychkov, I., Feoktistov, A., Gorsky, S., Sidorov, I., Kostromin, R., Edelev, A., Zorkalzev, V., & Avetisyan, A. (2020). Mitigating Uncertainty in Developing and Applying Scientific Applications in an Integrated Computing Environment. PROGRAMMING AND COMPUTER SOFTWARE, 46(7), 483-502. doi: 10.1134/S036176882008023X. (ID: 26587)
  • Alaasam, A., Radchenko, G., Chernykh, A., & González-Compeán, J. (2020). Analytic Study of Containerizing Stateful Stream Processing as Microservice to Support Digital Twins in Fog Computing. PROGRAMMING AND COMPUTER SOFTWARE, 47(7), 511-525. doi: 10.1134/S0361768820080083. (ID: 26589)
  • Muraña, J., Nesmachnow, S., Iturriaga, S., Montes de Oca, S., Belcredi, G., Monzón, P., Shepelev , V., & Chernykh, A. (2020). Negotiation Approach for the Participation of Datacenters and Supercomputing Facilities in Smart Electricity Markets. PROGRAMMING AND COMPUTER SOFTWARE, 46(7), 636-651. doi: 10.1134/S0361768820080150. (ID: 26588)
  • Chavat , J., Nesmachnow, S., Chernykh, A., & Shepelev , V. (2020). Active Safety System for Urban Environments with Detecting Harmful Pedestrian Movement Patterns Using Computational Intelligence. Applied Sciences, 10(24), 9021. doi: 10.3390/app10249021. (ID: 26574)
  • Miranda López, V., Chernykh, A., Babenko, M., Avetisyan, A., Toporkov, V., & Drozdov, A. Y. (2020). Two-Levels RRNS with Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage. IEEE Access, 8, 199424-199439. doi: 10.1109/ACCESS.2020.3032655. (ID: 26279)
  • Babenko, M., deryabin, m., J. Piestrak, S., Patronik, P., Chervyakov, N., Chernykh, A., & Avetisyan, A. (2020). RNS Number Comparator Based on a Modified Diagonal Function. Electronics, 9(11), 1784. doi: 10.3390/electronics9111784. (ID: 26278)
  • Chernykh, A., Babenko, M., Chervyakov, N., Miranda López, V., Avetisyan, A., Drozdov, A. Y., Rivera Rodríguez, R., Radchenko, G., & Du, Z. (2020). Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. IEEE Internet of Things Journal, 7(10), 10171-10188. doi: 10.1109/JIOT.2020.2981276. (ID: 26280)
  • Ivashko, E., Ivashko, A., Safonov, G., & Chernykh, A. (2020). Cost-Efficient Strategy in Clouds with Spot Price Uncertainty. AUTOMATION AND REMOTE CONTROL, 81(4), 731-745. doi: 10.1134/S000511792004013X. (ID: 26282)
  • Babenko, M., Chernykh, A., Chervyakov, N., Kuchukov, V., Miranda López, V., Rivera Rodríguez, R., Du, Z., & Talbi, E. (2020). Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. PROGRAMMING AND COMPUTER SOFTWARE, 45, 532-543. doi: 10.1134/S0361768819080115. (ID: 25484)
  • Iturriaga , S., Nesmachnow, S., GOÑI, G., Dorronsoro, B., & Chernykh, A. (2020). Evolutionary Algorithms for Optimizing Cost and QoS on Cloud-based Content Distribution Networks. PROGRAMMING AND COMPUTER SOFTWARE, 45(8), 544-556. doi: 10.1134/S0361768819080127. (ID: 25485)
  • Kirsanova, A., Radchenko, G., & Chernykh, A. (2020). Overview of Fog Computing Organization Technologies. Bulletin of the South Ural State, 9(3), 35-63. doi: 10.14529/cmse200303. (ID: 27587)
2019
  • Muraña, J., Nesmachnow , S., Armenta Cano, F. A., & Chernykh, A. (2019). Characterization, modeling and scheduling of power consumption of scientific computing applications in multicores. Cluster Computing: the Journal of Networks, Software Tools and Applications, 22, 839-859. doi: 10.1007/s10586-018-2882-8. (ID: 25375)
  • Fabbiani, E., Nesmachnow , S., Toutouh, J., Chernykh, A., Avetisyan, A., & Radchenko, G. (2019). Analysis of Mobility Patterns for Public Transportation and Bus Stops Relocation. PROGRAMMING AND COMPUTER SOFTWARE, 44(6), 508-525. doi: 10.1134/S0361768819010031. (ID: 25377)
  • Radchenko, G., Alaasam, A., & Chernykh, A. (2019). COMPARATIVE ANALYSIS OF VIRTUALIZATION METHODS IN BIG DATA PROCESSING. Supercomputing Frontiers and Innovations, 6(1). doi: 10.14529/jsfi190107. (ID: 25486)
  • Babenko, M., Chernykh, A., Chervyakov, N., Kuchukov, V., Miranda López, V., Rivera Rodríguez, R., & Du, Z. (2019). Efficient Number Comparison in the Residue Number System based on Positional Characteristics. Proceedings of the Institute for System Programming of the RAS, 31(2), 187-201. doi: 10.15514/ISPRAS-2019-31(2)-13. (ID: 27494)
  • Iturriaga , S., Nesmachnow, S., GOÑI, G., Dorronsoro, B., & Chernykh, A. (2019). Design and optimization of Content Distribution Networks. Proceedings of the Institute for System Programming of the RAS, 31(2), 15-20. doi: 10.15514/ISPRAS-2019-31(2)-1. (ID: 27493)
  • Chernykh, A., & Hadjali, A. (2019). Editorial: Special Issue on Advanced Computing: from Theory to Practice. Proceedings of the Institute for System Programming of the RAS, 31(2), 7-13. doi: 10.15514/ISPRAS-2019-31(2)-0. (ID: 27492)
  • Chernykh, A., Miranda López, V., Babenko, M., Armenta Cano, F. A., Radchenko, G., Drozdov, A. Y., & Avetisyan, A. (2019). Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage. Cluster Computing: the Journal of Networks, Software Tools and Applications, 22(4), 1173-1185. doi: 10.1007/s10586-018-02896-9. (ID: 25376)
2018
  • Nesmachnow, S., Massobrio, R., Arreche, E., Mumford, C., Olivera, A. C., Vidal, P. J., & Chernykh, A. (2018). Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm. International Journal of Transportation Science and Technology, 1-15. doi: 10.1016/j.ijtst.2018.10.002. (ID: 24527)
  • Chernykh, A., Babenko, M., Chervyakov, N., Miranda López, V., Kuchukov, V., Cortés Mendoza, J. M., deryabin, m., Kucherov, n., Radchenko, G., & Avetisyan, A. (2018). AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 102, 60-73. doi: 10.1016/j.ijar.2018.07.010. (ID: 24523)
  • Chernykh, A., Cortés Mendoza, J. M., Bychkov, I., Feoktistov, A., Didelot, L., Bouvry, P., Radchenko, G., & Borodulin, k. (2018). Configurable Cost-Quality Optimization of Cloud-based VoIP. Journal of Parallel and Distributed Computing, 1-18. doi: 10.1016/j.jpdc.2018.07.001. (ID: 24524)
  • Massobrio, R., Nesmachnow, S., Chernykh, A., Avetisyan, A., & Radchenko, G. (2018). Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities. PROGRAMMING AND COMPUTER SOFTWARE, 44(3), 181-189. doi: 10.1134/S0361768818030052. (ID: 24526)
  • Yaurima Basaldua, V. H., Chernykh, A., Villalobos Rodríguez, F., & Salomon Torres, R. (2018). Hybrid flow shop with unrelated machines, setup time and work in progress buffers for bi-objective optimization of tortilla manufacturing. Algorithms, 11(5), 68-92. doi: 10.3390/a11050068. (ID: 24529)
  • Peña Morales, D., Chernykh, A., Nesmachnow, S., Massobrio, R., Feoktistov, A., Bychkov, I., Radchenko, G., Drozdov, A. Y., & Garichev, S. (2018). Operating Cost and Quality of Service Optimization for Multi-Vehicle-Type Timetabling for Urban Bus Systems. Journal of Parallel and Distributed Computing, 1-14. doi: 10.1016/j.jpdc.2018.01.009. (ID: 24525)
  • Nazarov, A., Chervyakov, N., Chernykh, A., & Babenko, M. (2018). Reliability Improvement of Information Systems by Residue Number System Code. International Journal of Combinatorial Optimization Problems and Informatics, 9(1), 81-84. (ID: 24532)
  • Barreto, M., Nesmachnow, S., & Chernykh, A. (2018). Hybrid algorithms for 3-SAT optimisation using MapReduce on clouds. International Journal of Innovative Computing and Applications, 9(1). doi: 10.1504/IJICA.2018.090835. (ID: 24530)
2017
  • Nikitina, N., Ivashko, E., & Chernykh, 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., Chernykh, 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., Chernykh, 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., Chernykh, 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., Chernykh, 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)
2016
  • Chervyakov, N., Babenko, M., Chernykh, 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)
  • Chernykh, 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., Chernykh, 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., & Chernykh, 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., Chernykh, 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., Chernykh, 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)
2015
  • Cortés Mendoza, J. M., Chernykh, 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., Chernykh, 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)
  • Chernykh, 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., Chernykh, 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)
2013
  • Yaurima Basaldua, V. H., Chernykh, 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)
  • Chernykh, 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., Chernykh, 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., & Chernykh, A. (2013). Load balancing for parallel computations with the finite element method. Computación y Sistemas, 17(3), 299-316. (ID: 16811)
  • Chernykh, 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)
2012
  • Quezada Pina, A. A., Chernykh, 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., Chernykh, 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)
2011
  • Ramírez Alcaraz, J. M., Chernykh, 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)
2010
  • Chernykh, 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)
2009
2008
  • Yaurima Basaldua, V. H., Burtseva, L., & Chernykh, A. (2008). Hybrid flowshop with unrelated machines, sequence dependent setup time, availability constraints and limited buffers. Computers and Electrical Engineering. doi: 10.1016/j.cie.2008.09.004. (ID: 10340)
  • Chernykh, 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)
  • Chernykh, 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)
2007
  • Chernykh, 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)
2004
  • Chernykh, 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., & Chernykh, A. (2004). I-structure software cache for distributed applications. DYNA, 71(141), 67-74. (ID: 8250)
2003
  • Chernykh, 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., Chernykh, 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., Chernykh, 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., Chernykh, 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)
2002
  • Mozerov, M., Kober, V., Chernykh, A., & Choi, T. S. (2002). Motion estimation using modified dynamic programming. Optical Engineering, 41(10), 2592-2598. (ID: 5651)
2001
  • Chernykh, A., Ecker, K., & Tchernykh, N. G. (2001). MSF Algorithm of dynamic tasks distribution. Information Technology and Computer Systems, 3(2), 83-98. (ID: 2755)
2000
  • Chernykh, 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)
1998
  • Stepanov, A. M., Lupenko, A. I., Chernykh, 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)

Carretera Ensenada-Tijuana No. 3918, Zona Playitas, C.P. 22860, Ensenada, B.C. Mexico. Teléfono: 01(646)175-05-00

w3cCSS w3cXML

CICESE, MÉXICO - ALGUNOS DERECHOS RESERVADOS © 2011 - POLÍTICAS DE PRIVACIDAD