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Mikhail Melnik
Mikhail Melnik
Подтвержден адрес электронной почты в домене niuitmo.ru
Название
Процитировано
Процитировано
Год
Execution time estimation for workflow scheduling
AM Chirkin, ASZ Belloum, SV Kovalchuk, MX Makkes, MA Melnik, ...
Future Generation Computer Systems, 2017
1202017
Market basket analysis of heterogeneous data sources for recommendation system improvement
T Kutuzova, M Melnik
Procedia Computer Science 136, 246-254, 2018
472018
Workflow Scheduling Algorithms for Hard-deadline Constrained Cloud Environments
AA Visheratin, MA Melnik, D Nasonov
Procedia Computer Science 80, 2098-2106, 2016
412016
Performance-aware scheduling of streaming applications using genetic algorithm
P Smirnov, M Melnik, D Nasonov
Procedia Computer Science 108, 2240-2249, 2017
352017
Workflow scheduling using Neural Networks and Reinforcement Learning
M Melnik, D Nasonov
Procedia Computer Science 156, 29-36, 2019
312019
Hybrid evolutionary workflow scheduling algorithm for dynamic heterogeneous distributed computational environment
D Nasonov, A Visheratin, N Butakov, N Shindyapina, M Melnik, ...
Journal of Applied Logic, 2016
282016
Adaptive performance model for dynamic scaling Apache Spark Streaming
M Petrov, N Butakov, D Nasonov, M Melnik
Procedia Computer Science 136, 109-117, 2018
232018
Hybrid scheduling algorithm in early warning systems
AA Visheratin, M Melnik, D Nasonov, N Butakov, AV Boukhanovsky
Future Generation Computer Systems, 2017
172017
Hard-deadline Constrained Workflows Scheduling Using Metaheuristic Algorithms
A Visheratin, M Melnik, N Butakov, D Nasonov
Procedia Computer Science 66, 506-514, 2015
152015
Metaheuristic coevolution workflow scheduling in cloud environment
D Nasonov, M Melnik, N Shindyapina, N Butakov
2015 7th International Joint Conference on Computational Intelligence (IJCCI …, 2015
62015
Polyrhythmic Harmony Search for Workflow Scheduling
M Melnik, T Trofimenko
Procedia Computer Science 66, 468-476, 2015
52015
The multi-level adaptive approach for efficient execution of multi-scale distributed applications with dynamic workload
D Nasonov, N Butakov, M Melnik, A Visheratin, A Linev, P Shvets, ...
Russian Supercomputing Days, 675-686, 2018
42018
Automatic Workflow Scheduling Tuning for Distributed Processing Systems
AA Visheratin, M Melnik, D Nasonov
Procedia Computer Science 101, 388-397, 2016
42016
Intellectual Execution Scheme of Iterative Computational Models based on Symbiotic Interaction with Application for Urban Mobility Modelling.
M Melnik, DA Nasonov, A Liniov
IJCCI, 245-251, 2019
22019
Технология интеллектуальной организации процесса выполнения неоднородных композитных приложений в распределенной вычислительной среде
МА Мельник, ДА Насонов, АВ Бухановский
Известия высших учебных заведений. Приборостроение 63 (2), 2020
12020
Scheduling of streaming data processing with overload of resources using genetic algorithm
M Melnik, D Nasonov, N Butakov
Proceedings of the 10th International Joint Conference on Computational …, 2018
12018
Dynamic Resources Configuration for Coevolutionary Scheduling of Scientific Workflows in Cloud Environment
AA Visheratin, M Melnik, D Nasonov
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain …, 2017
12017
Coevolutionary workflow scheduling in a dynamic cloud environment
D Nasonov, M Melnik, A Radice
International Joint Conference SOCO’16-CISIS’16-ICEUTE’16, 189-200, 2016
12016
Hybrid Intellectual Scheme for Scheduling of Heterogeneous Workflows based on Evolutionary Approach and Reinforcement Learning
M Melnik, I Dolgov, D Nasonov
Proceedings of the 12th International Joint Conference on Computational …, 2020
2020
Improvement of Retail Recommender System by Integration of Heterogeneous Sources of Data and Classification of Customers’ Parameters
M Melnik, T Kutuzova
Conference of Open Innovations Association, FRUCT, 533-538, 2019
2019
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Статьи 1–20