Publicaciones

Publicaciones de los miembros de la REDMEXSU

  • Chervyakov N., Andrei Tchernykh, Vitkovsky V., Babenko M., Kucherov N., Kiyashko E. The development of a reliable cloud storage system for storing astrophysical data sensitive to distortion. Astrophysical Bulletin. Springer, 2017 ISSN 1990-3413. Impact Factor: 1.021, Q3. (to be published)
  • Sergio Nesmachnow, Marcos Barreto, Andrei Tchernykh. Hybrid algorithms for 3-SAT optimization using MapReduce on clouds. International Journal of Innovative Computing and Applications. Inderscience. Genève, Switzerland, 2017. ISSN: 1751-648X. Scopus (Elsevier), etc. (in press) http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijica (PDF)
  • Raul Ramírez-Velarde, Andrei Tchernykh, Carlos Barba-Jimenez, Adán Hirales-Carbajal, Juan Nolazco. Adaptive Resource Allocation in Computational Grids with Runtime Uncertainty. Journal of Grid Computing, Springer Netherlands, pp. 1-20, 2017. ISSN 1570-7873. Impact Factor 2.766, Q1, http://dx.doi.org/10.1007/s10723-017-9410-6 (PDF) https://link.springer.com/article/10.1007%2Fs10723-017-9410-6
  • 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. Elsevier Science, 2016, Impact Factor: 3.997, Q1 https://doi.org/10.1016/j.future.2017.09.061 (PDF) http://www.sciencedirect.com/science/article/pii/S0167739X17306015
  • 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. 2017, Vol. , No. , pp. . Elsevier, 2017, ISSN 1877-7503, Impact Factor: 1.748, Q2. http://dx.doi.org/10.1016/j.jocs.2017.04.004 (PDF) http://www.sciencedirect.com/science/article/pii/S187775031730385
  • 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. © Pleiades Publishing, Ltd., 2017 https://link.springer.com/article/10.1134/S0361768817030021, Impact Factor 0.39, Q4 (PDF)
  • 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 .
  • 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) (accepted)
  • Jonathan Muraña, Sergio Nesmachnow, Santiago Iturriaga, Andrei Tchernykh. Power Consumption Analysis for Energy Characterization of Scientific Workloads in Multicores. CARLA 2017 - Latin American Conference on High Performance Computing. Buenos Aires, Argentina September 20-22, 2017. Communications in Computer and Information Science (CCIS Series) Springer -ISSN: 1865-0929 -(accepted).
  • Vanessa Miranda-López, Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail Babenko, Gleb Radchenko, Sergio Nesmachnow, Zhihui Du. Experimental Analysis of Secure and Reliable Schemes for Cloud Storage based on RNS. CARLA 2017 - Latin American Conference on High Performance Computing. Buenos Aires, Argentina September 20-22, 2017. Communications in Computer and Information Science (CCIS Series) Springer -ISSN: 1865-0929 (accepted)
  • 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. CARLA 2017 - Latin American Conference on High Performance Computing. Buenos Aires, Argentina September 20-22, 2017. Communications in Computer and Information Science (CCIS Series) Springer -ISSN: 1865-0929 (accepted)
  • 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 ) (accepted)
  • 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 ) (accepted)
  • 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 ) (accepted)
  • 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 ) (accepted)
  • 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 ) (accepted)
  • 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 ) (accepted)
  • 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 ) (accepted)
  • 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, August 28 - September 01, 2017, CEUR-WS.org pp. 77-84, Vol-1973 ISSN 1613-0073 (PDF) http://ceur-ws.org/Vol-1973/
  • 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
  • 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
  • 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
  • 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, in conjunction with 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 $31.00 , DOI 10.1109/DEXA.2017.44 (PDF 118KB) http://ieeexplore.ieee.org/document/8049702/
  • 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, in conjunction with 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/
  • 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)
  • 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)
  • 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 International 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/
  • 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 International 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/
  • 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)
  • Alexander Feoktistov, Andrey Tchernykh, Sergey Gorsky, Roman Kostromin. Knowledge Elicitation in Multi-Agent System for Distributed Computing Management. MIPRO CIS 2017 - Intelligent Systems. In conjunction with 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/
  • 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)
  • 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)
  • Bychkov Igor, Oparin Gennady, Tchernykh Andrei, Feoktistov Alexander, Bogdanova Vera, Gorsky S. 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
  • 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/
  • 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
  • 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
  • Observation of a Large-scale Anisotropy in the Arrival Directions of Cosmic Rays above 8x10^18 eV The Pierre Auger Collaboration, Science 57 (2017) 1266-1270 
  • Combined fit of spectrum and composition data as measured by the Pierre Auger Observatory The Pierre Auger Collaboration, JCAP04(2017)038
  • Inferences on Mass Composition and Tests of Hadronic Interactions from 0.3 to 100 EeV using the water-Cherenkov Detectors of the Pierre Auger Observatory The Pierre Auger Collaboration, accepted for publication in Phys. Rev. D
  • Publicaciones Dr. Julián Félix. http://inspirehep.net/search?p=find+a+julian+felix
  • Jorge Lozoya Arandia, Alberto Coronado Mendoza, Kelly Joel Gurubel Tun, Virgilio Zúñiga Grajeda, "Performance analysis of a microserver architecture for the modeling and optimization of renewable energy systems", 8th International Supercomputing Conference in Mexico 2017, March 2017.
  • V. Zúñiga, K. Gurubel, V. Romero, C. Guzmán, B. Sulbarán-Rangel, "Optimization of neutral deinking process by artificial neural networks", 5th EPNOE International Polysaccharide Conference, 20-24 August 2017, Jena, Germany.
  • Acevedo Montoya Lester Antonio, Coronado Mendoza Alberto, Zúñiga Grajeda Virgilio, Castillo Palomera Roger, "Optimal sizing of photovoltaic-wind turbine connected to grid recharge centers for electric vehicles", 2do Congreso Interdisciplinario de Energías Renovables, Mantenimiento Industrial, Mecatrónica e Informática, 27-29 septiembre 2017, San Juan del Río, Querétaro.
  • Valdivia Bautista Sandra Minerva, González Gabriel Luis Fernando, Lozoya Arandia Jorge, Carvajal Ramos Francisco, Zúñiga Grajeda Virgilio, Coronado Mendoza Alberto, Alanís García Alma Yolanda, "Herramientas matemáticas para la predicción de variables estocásticas asociadas a los sistemas de generación renovable", Semana Nacional de Energía Solar 2017, 2-6 octubre, Guadalajara, México.
  • Al-Qudah, O.M., Woocay, A. & Walton, J.C. Exploration of groundwater flowpaths and effective recharge in the Amargosa Desert, Nevada, using multivariate statistical analysis and elevation-dependent chloride mass-balance method. Environ Earth Sci (2017) 76: 110. doi:10.1007/s12665-017-6432-0
  • Núñez-Varela, A.S., Pérez-González, H.G., Martínez-Pérez, F.E., Cuevas-Tello, J.C. (2017) Chapter # 11 User-oriented application for source code metrics definition and extraction based on a metrics framework, Software engineering : methods, modeling, and teaching, Volume # 4, Ed: Carlos Mario Zapata Jaramillo, Claudia Elena Durango Vanegas, Wilder Perdomo Charry, compiladores. – Bogotá : Editorial Bonaventuriana, ISBN: 978-958-8928-49-4
  • https://www.researchgate.net/publication/320251356_An_Adaptive_Cross-lay...
  • https://www.researchgate.net/publication/319070920_Estimation_of_quality... Problem-Solving Framework for Training and Development of Scalable Applications in Distributed Environments Andrei Tchernykh1*, Alexander Feoktistov2, Vera Bogdanova2, Ivan Sidorov2, Gennady Oparin2, Igor Bychkov2, Vassil Alexandrov3, Raul Rivera-Rodriguez1 2017(Under review)
  • Evgeny Ivashko, Andrei Tchernykh. Optimal spot bidding strategy in cloud spot auctions. Cluster Computing. Springer IF 2.04, Q2 (under review) · Igor Bychkov, Gennady Oparin, Andrei Tchernykh, Alexander Feoktistov, S.A. Gorsky, R. Rivera-Rodriguez. Scalable Application for Searching Global Minimum of Multiextremal Functions. Optoelectronics, Instrumentation and Data Processing. Springer, 2017 (under review)
  • Lozano-Rizk, J., Castañeda-Ávila, S., Medrano-Jaimes, F., Rivera-Rodríguez, R. A Model Design for BigData Interoperability in Multidisciplinary Scientific Research Projects. Presentación avance de investigación, ISUM 2017.
  • Lozano-Rizk, J., Rivera-Rodriguez, R., Nieto-Hipólito, J.I.  Redes definidas por software para el cómputo de altas prestaciones. Presentación de trabajo en Reunión Anual Red Mexicana Supercómputo 2017.
  • Reunión anual 2017 unión geofisica mexicana - Presentación: https://www.raugm.org.mx/resumenes/sessions/abstract.php?abstractID=657
  • http://pubs.rsc.org/en/content/articlelanding/2017/cp/c7cp04452f#!divAbs...
  • http://www.sciencedirect.com/science/article/pii/S2210271X16304479
  • http://www.sciencedirect.com/science/article/pii/S2210271X17301238