| Execution time estimation for workflow scheduling AM Chirkin, ASZ Belloum, SV Kovalchuk, MX Makkes, MA Melnik, ... Future Generation Computer Systems, 2017 | 126 | 2017 |
| Market basket analysis of heterogeneous data sources for recommendation system improvement T Kutuzova, M Melnik Procedia Computer Science 136, 246-254, 2018 | 66 | 2018 |
| Workflow Scheduling Algorithms for Hard-deadline Constrained Cloud Environments AA Visheratin, MA Melnik, D Nasonov Procedia Computer Science 80, 2098-2106, 2016 | 41 | 2016 |
| Workflow scheduling using Neural Networks and Reinforcement Learning M Melnik, D Nasonov Procedia Computer Science 156, 29-36, 2019 | 39 | 2019 |
| Performance-aware scheduling of streaming applications using genetic algorithm P Smirnov, M Melnik, D Nasonov Procedia Computer Science 108, 2240-2249, 2017 | 39 | 2017 |
| Adaptive performance model for dynamic scaling Apache Spark Streaming M Petrov, N Butakov, D Nasonov, M Melnik Procedia Computer Science 136, 109-117, 2018 | 28 | 2018 |
| 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 | 28 | 2016 |
| Hybrid scheduling algorithm in early warning systems AA Visheratin, M Melnik, D Nasonov, N Butakov, AV Boukhanovsky Future Generation Computer Systems, 2017 | 21 | 2017 |
| Hard-deadline Constrained Workflows Scheduling Using Metaheuristic Algorithms A Visheratin, M Melnik, N Butakov, D Nasonov Procedia Computer Science 66, 506-514, 2015 | 15 | 2015 |
| 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 | 6 | 2015 |
| Automatic Workflow Scheduling Tuning for Distributed Processing Systems AA Visheratin, M Melnik, D Nasonov Procedia Computer Science 101, 388-397, 2016 | 5 | 2016 |
| Polyrhythmic Harmony Search for Workflow Scheduling M Melnik, T Trofimenko Procedia Computer Science 66, 468-476, 2015 | 5 | 2015 |
| 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 | 4 | 2018 |
| 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 | 2 | 2019 |
| 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 | 1 | 2020 |
| Òåõíîëîãèÿ èíòåëëåêòóàëüíîé îðãàíèçàöèè ïðîöåññà âûïîëíåíèÿ íåîäíîðîäíûõ êîìïîçèòíûõ ïðèëîæåíèé â ðàñïðåäåëåííîé âû÷èñëèòåëüíîé ñðåäå ÌÀ Ìåëüíèê, ÄÀ Íàñîíîâ, À Áóõàíîâñêèé Èçâåñòèÿ âûñøèõ ó÷åáíûõ çàâåäåíèé. Ïðèáîðîñòðîåíèå 63 (2), 2020 | 1 | 2020 |
| 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 | 1 | 2018 |
| 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 | 1 | 2017 |
| 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 | 1 | 2016 |
| 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 |
Denis NasonovITMO UniversityVerified email at niuitmo.ru
