Melnik M.A., Dolgov I., Nasonov D.A. Hybrid Intellectual Scheme for Scheduling of Heterogeneous Workflows based on Evolutionary Approach and Reinforcement Learning. IJCCI 2020 - Proceedings of the 12th International Joint Conference on Computational Intelligence. 2020. Vol. 1. pp. 200-211.. doi: 10.5220/0010112802000211
Мельник М.А. Технология интеллектуальной организации процесса выполнения неоднородных композитных приложений в глобальной вычислительной среде. Программа для ЭВМ. 2020. С. 1-20.
Мельник М.А., Насонов Д.А., Бухановский А.В. Технология интеллектуальной организации процесса выполнения неоднородных композитных приложений в распределенной вычислительной среде. Известия высших учебных заведений. Приборостроение. 2020. Т. 63. № 2. С. 191-193.. doi: 10.17586/0021-3454-2020-63-2-191-193
Melnik M.A., Nasonov D.A., Liniov A. Intellectual Execution Scheme of Iterative Computational Models based on Symbiotic Interaction with Application for Urban Mobility Modelling. IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence. 2019. pp. 245-251.. doi: 10.5220/0008365602450251
Melnik M., Nasonov D. Workflow scheduling using Neural Networks and Reinforcement Learning. Procedia Computer Science. 2019. Vol. 156. pp. 29-36.. doi: 10.1016/j.procs.2019.08.126
Nasonov D.A., Butakov N.A., Melnik M., Visheratin A.A., Linev A., Shvets P., Sobolev S., Mukhina K.D. The multi-level adaptive approach for efficient execution of multi-scale distributed applications with dynamic workload. Communications in Computer and Information Science. 2019. Vol. 965. pp. 675-686.. doi: 10.1007/978-3-030-05807-4_58
Melnik M., Nasonov D., Butakov N. Scheduling of Streaming Data Processing with Overload of Resources using Genetic Algorithm. IJCCI 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence. 2018. pp. 232-241.. doi: 10.5220/0006951902320241
Petrov M., Butakov N., Nasonov D., Melnik M. Adaptive performance model for dynamic scaling Apache Spark Streaming. Procedia Computer Science. 2018. Vol. 136. pp. 109-117.. doi: 10.1016/j.procs.2018.08.243
Эволюционные вычисления: учебно-методическое пособие по выполнению лабораторных работ
Visheratin A.A., Melnik M., Nasonov D.A., Butakov N., Boukhanovsky A.V. Hybrid Scheduling Algorithm in Early Warning Systems. Future Generation Computer Systems. 2018. Vol. 79. No. Part.2. pp. 630-642.. doi: 10.1016/j.future.2017.04.002
Kutuzova T., Melnik M. Market basket analysis of heterogeneous data sources for recommendation system improvement. Procedia Computer Science. 2018. Vol. 136. pp. 246-254.. doi: 10.1016/j.procs.2018.08.263
Visheratin A.A., Melnik M.A., Nasonov D.A. Dynamic resources configuration for coevolutionary scheduling of scientific workflows in cloud environment. Advances in Intelligent Systems and Computing. 2018. Vol. 649. pp. 13-23.. doi: 10.1007/978-3-319-67180-2_2
Nasonov D.A., Melnik M., Redis A. Coevolutionary workflow scheduling in a dynamic cloud environment. Advances in Intelligent Systems and Computing. 2017. Vol. 527. pp. 189-200.. doi: 10.1007/978-3-319-47364-2_19
Chirkin A.M., Belloum A., Kovalchuk S.V., Makkes M., Melnik M.A., Visheratin A.A., Nasonov D.A. Execution Time Estimation for Workflow Scheduling. Future Generation Computer Systems. 2017. Vol. 75. pp. 376-387.. doi: 10.1016/j.future.2017.01.011
Smirnov P., Melnik M., Nasonov D.A. Performance-aware scheduling of streaming applications using genetic algorithm. Procedia Computer Science. 2017. Vol. 108. pp. 2240–2249.. doi: 10.1016/j.procs.2017.05.249
Nasonov D.A., Visheratin A.A., Butakov N., Shindyapina N., Melnik M., Boukhanovsky A.V. Hybrid Evolutionary Workflow Scheduling Algorithm for Dynamic Heterogeneous Distributed Computational Environment. Journal of Applied Logic. 2017. Vol. 24. pp. 50-61.. doi: 10.1016/j.jal.2016.11.013
Visheratin A.A., Melnik M., Nasonov D.A. Automatic workflow scheduling tuning for distributed processing systems. Procedia Computer Science. 2016. Vol. 101. pp. 388–397.. doi: 10.1016/j.procs.2016.11.045
Бутаков Н.А., Насонов Д.А., Мельник М.А., Вишератин А.А. Гибридные методы планирования экстренных композитных приложений. Труды Международной научной конференции СРТ2015 (Ларнака, 10-17мая 2015г.). 2016. С. 182-185.
Visheratin A.A., Melnik M.A., Nasonov D.A. Workflow scheduling algorithms for hard-deadline constrained cloud environments. Procedia Computer Science. 2016. Vol. 80. pp. 2098-2106.. doi: 10.1016/j.procs.2016.05.529
Visheratin A.A., Melnik M., Butakov N., Nasonov D.A. Hard-deadline constrained workflows scheduling using metaheuristic algorithms. Procedia Computer Science. 2015. Vol. 66. pp. 506-514.. doi: 10.1016/j.procs.2015.11.057
Nasonov D.A., Melnik M., Shindyapina N., Butakov N. Metaheuristic Coevolution Workflow Scheduling In Cloud Environment. IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence. 2015. pp. 252-260.. doi: 10.5220/0005599402520260
Melnik M., Trofimenko T. Polyrhythmic Harmony Search for Workflow Scheduling. Procedia Computer Science. 2015. Vol. 66. pp. 468-476.. doi: 10.1016/j.procs.2015.11.053
Trofimenko T.B., Visheratin A.A., Melnik M.A., Mukhina K.D., Butakov N. Graphical framework for scientific papers clustering. Application of Information and Communication Technologies (AICT), 2015 9th International Conference on. 2015. pp. 423-427.. doi: 10.1109/ICAICT.2015.7338593
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