| Bienvenido a CICESE
Datos Personales
Nombre:
Chernykh Andrey
Categoría:
INVESTIGADOR TITULAR
SNI:
INVESTIGADOR II
Departamento:
DEPARTAMENTO DE CIENCIAS DE LA COMPUTACIÓN
División:
DIVISIÓN DE FÍSICA APLICADA
Correo:
chernykh@cicese.mx
Extensión:
23426
Proyectos
Calendarizacion y Seguridad en Federación de Nubes
Laboratorios
Cómputo paralelo
Hay 47 publicaciones.

Año

Autores / Publicación

2018

Tchernykh, 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: https://doi.org/10.1016/j.ijar.2018.07.010. (ID: 24523)

2018

Tchernykh, 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: https://doi.org/10.1016/j.jpdc.2018.07.001. (ID: 24524)

2018

Massobrio, R., Nesmachnow, S., Tchernykh, 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: https://doi.org/10.1134/S0361768818030052. (ID: 24526)

2018

Drozdov, A. Y., Tchernykh, A., Novikov, S. V., Vladislavlev, V. E., & Rivera Rodríguez, R. (2018). PHEFT: Pessimistic Image Processing Workflow Scheduling for DSP Clusters. Algorithms, 11(5), 1-13. doi: https://doi.org/10.3390/a11050076. (ID: 24528)

2018

Bychkov, I., Oparin, G., Tchernykh, A., Feoktistov, A., Gorsky, S., & Rivera Rodríguez, R. (2018). Scalable Application for the Search of Global Minima of Multiextremal Functions. Optoelectronics, Instrumentation and Data Processing, 54(1), 83-89. doi: https://doi.org/10.3103/S8756699018010132. (ID: 24533)

2018

Peña Morales, D., Tchernykh, 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: https://doi.org/10.1016/j.jpdc.2018.01.009. (ID: 24525)

2018

Barreto, M., Nesmachnow, S., & Tchernykh, A. (2018). Hybrid algorithms for 3-SAT optimisation using MapReduce on clouds. International Journal of Innovative Computing and Applications, 9(1). doi: https://doi.org/10.1504/IJICA.2018.090835. (ID: 24530)

2017

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)

2017

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)

2017

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)

2017

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)

2017

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)

2016

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)

2016

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)

2016

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)