Filatova A., Perov I., Timoschak E., Batalenkov S., Kovalchuk M., Nasonov D. Advancing Project Management: Integrating Material Delivery in Multi-Contractor Multi-Mode RCPSP. GECCO 2024 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2024. pp. 1724-1727.. doi: 10.1145/3638530.3664187
Kovalchuk M.A., Filatova A., Korneev A., Koreneva M., Nasonov D., Voskresenskii A., Boukhanovsky A. SemConvTree: semantic convolutional quadtrees for multi-scale event detection in Smart City. Smart Cities. 2024. Vol. 7. No. 5. pp. 2763-2780.. doi: 10.3390/smartcities7050107
Klimova A., Nasonov D., Hvatov A., Nikitin N.O., Ivanov S.V., Kalyuzhnaya A.V., Boukhanovsky A. Strategic Trends in Artificial Intelligence Through Impact of Computational Science: What Young Scientists Should Expect. Procedia Computer Science. 2023. Vol. 229. pp. 1-7.. doi: 10.1016/j.procs.2023.12.001
Nikitin N.O., Teryoshkin S., Pokrovskii V., Pakulin S., Nasonov D. Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment. IEEE Congress on Evolutionary Computation, CEC 2023. 2023. pp. 1-8.. doi: 10.1109/CEC53210.2023.10254012
Ходорченко М.А., Бутаков Н.А., Насонов Д.А., Фирулик М.Ю. Программный фреймворк для оптимизации гиперпараметров тематических моделей с аддитивной регуляризацией [Software framework for hyperparameters optimization of models with additive regularization]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Т. 23. № 1(143). С. 112–120.. doi: 10.17586/2226-1494-2023-23-1-112-120
Voskresenskii A., Kovalchuk M., Filatova A., Nasonov D., Lutsenko A. Hybrid Algorithm for Multi-Contractor, Multi-Resource Project Scheduling in the Industrial Field. Procedia Computer Science. 2023. Vol. 229. pp. 28-38.. doi: 10.1016/j.procs.2023.12.004
Sergeeva J., Filatova A., Nasonov D., Lutsenko A. ClarTM: a method for geolocations clarification within extensive urban sites using topic modelling. Procedia Computer Science. 2023. Vol. 229. pp. 128-137.. doi: 10.1016/j.procs.2023.12.014
Khodorchenko M., Butakov N., Nasonov D. Improved Evolutionary Approach for Tuning Topic Models with Additive Regularization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 14001. pp. 409–420.. doi: 10.1007/978-3-031-40725-3_35
Filatova A., Kovalchuk M., Batalenkov S., Voskresenskiy A., Deeva I., Kalyuzhnaya A., Shpilman A., Kondrashova N., Dudnichenko M., Nasonov D. A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization. IEEE Congress on Evolutionary Computation, CEC 2023. 2023. pp. 1-8.. doi: 10.1109/CEC53210.2023.10254069
Prudius A., Teryoshkin S., Nasonov D. Evolutionary algorithm for generating optimized configuration of computational distributed cluster considering simulation environment and specified workload. Procedia Computer Science. 2022. Vol. 212. pp. 397-408.. doi: 10.1016/j.procs.2022.11.024
Khodorchenko M., Butakov N., Nasonov D. Towards Better Evaluation of Topic Model Quality. Proceedings of the 32nd Conference of Open Innovations Association FRUCT. 2022. pp. 128-134.. doi: 10.23919/FRUCT56874.2022.9953874
Kovalchuk M., Nasonov D. Hashtags: an essential aspect of topic modeling of city events through social media. 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021. 2021. pp. 1594-1599.. doi: 10.1109/ICMLA52953.2021.00255
Filatova A., Nasonov D. SeSAM: semi-automated semantic analysis method of urban areas’ events with extreme levels of popularity based on public open data. Procedia Computer Science. 2021. Vol. 193. pp. 52-61.. doi: 10.1016/j.procs.2021.10.006
Nevezhin E.E., Butakov N., Khodorchenko M., Petrov M., Nasonov D. Topic-driven Ensemble for Online Advertising Generation. Proceedings of the 28th International Conference on Computational Linguistics. 2020. pp. 2273–2283.. doi: 10.18653/v1/2020.coling-main.206
Zamiralov A., Khodorchenko M., Nasonov D. Detection of housing and utility problems in districts through social media texts. Procedia Computer Science. 2020. Vol. 178. pp. 213-223.. doi: 10.1016/j.procs.2020.11.023
Koreneva M., Visheratin A.A., Nasonov D.A. Decoupling graph convolutional networks for large-scale supervised classification. Procedia Computer Science. 2020. Vol. 178. pp. 337-344.. doi: 10.1016/j.procs.2020.11.035
Mukhina K.D., Visheratin A.A., Nasonov D.A. Convolutional neural networks with hierarchical context transfer for high-resolution spatiotemporal predictions. 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BIGSPATIAL 2020. 2020. pp. 3429346.. doi: 10.1145/3423336.3429346
Mukhina K.D., Visheratin A.A., Nasonov D.A. Spatiotemporal filtering pipeline for efficient social networks data processing algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12142 LNCS. pp. 86-99.. doi: 10.1007/978-3-030-50433-5_7
Visheratin A.A., Struckov A., Yufa S., Muratov A., Nasonov D.A., Butakov N.A., Kuznetsov Y., May M. Peregreen - Modular database for efficient storage of historical time series in cloud environments. USENIX Annual Technical Conference, ATC 2020. 2020. pp. 589-601.
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., 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
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. 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
Mukhina K.D., Visheratin A.A., Nasonov D. Urban events prediction via convolutional neural networks and Instagram data. Procedia Computer Science. 2019. Vol. 156. pp. 176-184.. doi: 10.1016/j.procs.2019.08.193
Mukhina K.D., Visheratin A.A., Nasonov D., Manovich L. Intelligent sightseeing in immensely manifold cities: case of 2018 FIFA world cup host cities. LocalRec'19 Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising. 2019. pp. 3365503.. doi: 10.1145/3356994.3365503
Sokhin T., Butakov N.A., Nasonov D.A. User Profiles Matching for Different Social Networks Based on Faces Identification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11734 LNAI. pp. 551-562.. doi: 10.1007/978-3-030-29859-3_47
Mukhina K.D., Visheratin A.A., Nasonov D.A. Orienteering Problem with Functional Profits for multi-source dynamic path construction. PLoS ONE. 2019. Vol. 14. No. 4. pp. e0213777.. doi: 10.1371/journal.pone.0213777
Safiulin I.R., Butakov N.A., Alexandrov D., Nasonov D.A. Ensemble-based method of answers retrieval for domain specific questions from text-based documentation. Procedia Computer Science. 2019. Vol. 156. pp. 158-165.. doi: 10.1016/j.procs.2019.08.191
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
Strukov A.M., Iufa S.O., Visheratin A.A., Nasonov D.A. Evaluation of modern tools and techniques for storing time-series data. Procedia Computer Science. 2019. Vol. 156. pp. 19-28.. doi: 10.1016/j.procs.2019.08.125
Обработка больших данных в Apache Spark
Rakitin S., Visheratin A., Nasonov D.A. Byzantine fault-tolerant and semantic-driven consensus protocol. Procedia Computer Science. 2018. Vol. 136. pp. 25-34.. doi: 10.1016/j.procs.2018.08.234
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
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
Butakov N., Petrov M., Mukhina K., Nasonov D.A., Kovalchuk S.V. Unified domain-specific language for collecting and processing data of social media. Journal of Intelligent Information Systems. 2018. Vol. 51. No. 2. pp. 389-414.. doi: 10.1007/s10844-018-0508-5
Spivak A.I., Razumovskii A.V., Nasonov D.A., Bukhanovsky A.V. ., Redice A. Storage tier-aware replicative data reorganization with prioritization for efficient workload processing. Future Generation Computer Systems. 2018. Vol. 79. No. Part.2. pp. 618-629.. doi: 10.1016/j.future.2017.04.010
Kovalchuk S.V. ., Krotov E., Smirnov P.A. ., Nasonov D.A. ., Yakovlev A.N. Distributed Data-Driven Platform for Urgent Decision Making in Cardiological Ambulance Control. Future Generation Computer Systems. 2018. Vol. 79. No. Part.1. pp. 144-154.. doi: 10.1016/j.future.2016.09.017
Kalyuzhnaya A.V., Nikitin N.O., Butakov N.A., Nasonov D.A. Precedent-based approach for the identification of deviant behavior in social media. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10862. pp. 846-852.. doi: 10.1007/978-3-319-93713-7_84
Mukhina K.D., Visheratin A.A., Nasonov D.A. Building City-Scale Walking Itineraries Using Large Geospatial Datasets. Proceedings of the 23rd Conference of Open Innovations Association FRUCT. 2018. pp. 261-267.. doi: 10.23919/FRUCT.2018.8588074
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
Kalyuzhnaya A.V., Nasonov D., Ivanov S.V., Kosukhin S.S., Boukhanovsky A.V. Towards a scenario-based solution for extreme metocean event simulation applying urgent computing. Future Generation Computer Systems. 2018. Vol. 79. No. Part.2. pp. 604-617.. doi: 10.1016/j.future.2017.05.049
Mukhina K.D., Visheratin A.A., Mbogo G., Nasonov D.A. Forecasting of the Urban Area State Using Convolutional Neural Networks. Proceedings of the 23rd Conference of Open Innovations Association FRUCT. 2018. pp. 268-275.. doi: 10.23919/FRUCT.2018.8588075
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., Visheratin A.A., Boukhanovsky A. Blockchain-based transaction integrity in distributed big data marketplace. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10860. pp. 569-577.. doi: 10.1007/978-3-319-93698-7_43
Visheratin A.A., Mukhina K.D., Visheratina A.K., Nasonov D.A., Boukhanovsky A.V. Multiscale event detection using convolutional quadtrees and adaptive geogrids. 2nd ACM SIGSPATIAL International Workshop on Analytics for Local Events and News, LENS 2018. 2018. pp. 1.. doi: 10.1145/3282866.3282867
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
Анализ и моделирование темпоральных комплексных сетей
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
Liniov A., Kustikova V., Sysoyev A., Zhiltsov M., Polyakov I., Nasonov D.A. ., Butakov N.A. Architecture of Middleware to Provide the Multiscale Modelling Using Coupling Templates. Communications in Computer and Information Science. 2017. Vol. 793. pp. 468-481.. doi: 10.1007/978-3-319-71255-0_38
Severiukhina O., Smirnov P., Bochenina K., Nasonov D., Butakov N. Adaptive load balancing of distributed multi-agent simulations on heterogeneous computational infrastructures. Procedia Computer Science. 2017. Vol. 119. pp. 139-146.. doi: 10.1016/j.procs.2017.11.170
Методические рекомендации по организации и проведению научно-исследовательской работы студентов
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
Visheratin A.A., Rakitin S.V., Ageev D.V., Nasonov D.A., Boukhanovsky A.V. Exarch -semantics-based modular distributed data storage. ACM International Conference Proceeding Series. 2017. Vol. ICCBDC. pp. 22-26.. doi: 10.1145/3141128.3141140
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., Trofimenko T.B., Mukhina K.D., Nasonov D.A., Boukhanovsky A.V. A multi-layer model for diffusion of urgent information in mobile networks. Journal of Computational Science. 2017. Vol. 20. pp. 129-142.. doi: 10.1016/j.jocs.2017.02.002
Анализ и моделирование темпоральных комплексных сетей
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
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.
Spivak A., Nasonov D.A. Data Preloading and Data Placement for MapReduce Performance Improving. Procedia Computer Science. 2016. Vol. 101. pp. 379–387.. doi: 10.1016/j.procs.2016.11.044
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
Smirnov P.A., Nasonov D.A. . Quality-based workload scaling for real-time streaming systems. Procedia Computer Science. 2016. Vol. 101. pp. 323–332.. doi: 10.1016/j.procs.2016.11.038
Butakov N., Nasonov D., Svitenkov A., Radice A., Boukhanovsky A.V. Quality-based approach to urgent workflows scheduling. Procedia Computer Science. 2016. Vol. 80. pp. 2074-2085.. doi: 10.1016/j.procs.2016.05.527
Visheratin A.A., Trofimenko T.B., Mukhina K.D., Nasonov D.A., Boukhanovsky A.V. Urgent information spreading multi-layer model for simulation in mobile networks. Procedia Computer Science. 2016. Vol. 80. pp. 2086-2097.. doi: 10.1016/j.procs.2016.05.528
Слоот П., Холыст Я., Кампис Ж., Лис М., Митягин С.А., Иванов С.В., Боченина К.О., Павлова В.Ю., Мухина К.Д., Насонов Д.А., Бутаков Н.А., Леоненко В.Н., Ланцева А.А., Бухановский А.В. Суперкомпьютерное моделирование критических явлений в сложных социальных системах. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2016. Т. 16. № 6(106). С. 967-995.. doi: 10.17586/2226-1494-2016-16-6-967-995
Bochenina K.O., Butakov N., Dukhanov A.V., Nasonov D.A. A clustering-based approach to static scheduling of multiple workflows with soft deadlines in heterogeneous distributed systems. Procedia Computer Science. 2015. Vol. 51. pp. 2827–2831.. doi: 10.1016/j.procs.2015.05.442
Spivak A.I., Razumovskiy A.V., Miagkov A.V., Nasonov D.A. Evolutionary replicative data reorganization with prioritization for efficient workload processing. Procedia Computer Science. 2015. Vol. 51. pp. 2357-2366.. doi: 10.1016/j.procs.2015.05.405
Kalyuzhnaya A.V., Visheratin A.A., Dudko A., Nasonov D.A., Boukhanovsky A.V. Synthetic storms reconstruction for coastal floods risks assessment. Journal of Computational Science. 2015. Vol. 9. pp. 112-117.. doi: 10.1016/j.jocs.2015.04.029
Butakov N.A., Nasonov D.A., Knyazkov K.V., Karbovskii V.A., Chuprova I.K. The Multi-Agent Simulation-Based Framework for Optimization of Detectors Layout in Public Crowded Places. Procedia Computer Science. 2015. Vol. 51. pp. 522-531.. doi: 10.1016/j.procs.2015.05.278
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
Visheratin A.A., Nasonov D.A. ., Kaluzhnaya, A.V. ., Kosukhin, S.S. . A simulation platform for atmospheric phenomena study within coastal floods in Baltic sea area. International Multidisciplinary Scientific GeoConference-SGEM: 15th International Multidisciplinary Scientific Geoconference SGEM 2015. 2015. Vol. 1. No. 2. pp. 11-18.. doi: 10.5593/sgem2015B21
Zagarskikh A.S., Karsakov A., Mukhina K.D., Nasonov D.A., Bezgodov A. An Efficient Approach of Infrastructure Processing Visualization Within Cloud Computing Platform. Procedia Computer Science. 2015. Vol. 66. pp. 705-710.. doi: 10.1016/j.procs.2015.11.080
Zakharchuk A.V., Kovalchuk S.V., Nasonov D.A. Dynamic domain-specific language for BigData tasks' description. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI). 2015. Vol. 246. pp. 1207-1218.
Nasonov D.A. ., Visheratin A.A., Knyazkov K.V., Kovalchuk S.V. Interactive e-Science Cyberinfrastructure for Workflow Management Coupled with Big Data Technology. International Multidisciplinary Scientific GeoConference-SGEM: 15th International Multidisciplinary Scientific Geoconference SGEM 2015. 2015. Vol. 1. No. 2. pp. 175-182.. doi: 10.5593/SGEM2015/B21/S7.023
Динамический предметно-ориентированный язык для задач распределенной обработки больших данных в средах облачных вычислений
Иванов С.В., Вишератин А.А., Насонов Д.А., Бухановский А.В. Метод реконструкции экстремальных природных явлений редкой повторяемости для повышения эффективности защиты Санкт-Петербурга от наводнений. Известия высших учебных заведений. Приборостроение. 2014. Т. 57. № 12. С. 68-70.
Butakov N.A., Nasonov D., Boukhanovsky A.V. Evolutionary Inheritance in Workflow Scheduling Algorithms within Dynamically Changing Heterogeneous Environments. ECTA 2014 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications. 2014. pp. 160 -168.
Kaluzhnaya A.V., Nasonov D.A., Boukhanovsky A.V. . Ensemble risk assessment for flood warning system in st. Petersburg. 14th International Multidisciplinary Scientific Geoconference SGEM 2014. GeoConference on Informatics, Geoinformatics and Remote Sensing. Conference Proceedings. 2014. Vol. 1. No. 3. pp. 247-256.. doi: 10.5593/sgem 2014B31/S12.032
Butakov N., Nasonov D. Co-evolutional genetic algorithm for workflow scheduling in heterogeneous distributed environment. 8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings. 2014. pp. 7035936.. doi: 10.1109/ICAICT.2014.7035936
Kosukhin, S.S. ., Kaluzhnaya, A.V. ., Nasonov D. Problem solving environment for development and maintenance of St. Petersburg’s Flood Warning System. Procedia Computer Science. 2014. Vol. 29. pp. 1667–1676.. doi: 10.1016/j.procs.2014.05.152
Nasonov D.A., Butakov N.A., Balakhontzeva M.A., Knyazkov K.V., Boukhanovsky A.V. Hybrid Evolutionary Workflow Scheduling Algorithm for Dynamic Heterogeneous Distributed Computational Environment. Advances in Intelligent Systems and Computing. 2014. Vol. 299. pp. 83-92.. doi: 10.1007/978-3-319-07995-0_9
Nasonov D.A., Churov T.N., Zagarskikh A.S., Kovalchuk S.V. Technological platform for complex processing of large data within early warning systems. WIT Transactions on Information and Communication Technologies. 2014. Vol. 56. pp. 625-634.. doi: 10.2495/ICCTS140711
Razumovskiy A., Nasonov D.A., Spivak A., Boukhanovsky A.V. Evolutionary Data Reorganization For Efficient Workload Processing. 8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings. 2014. pp. 234- 239.. doi: 10.1109/ICAICT.2014.7035952
Nasonov D.A. ., Butakov N.A. Hybrid Scheduling Algorithm in Early Warning Systems. Procedia Computer Science. 2014. Vol. 29. pp. 1677–1687.. doi: 10.1016/j.procs.2014.05.153
Knyazkov K.V., Nasonov D.A., Tchurov T.N., Boukhanovsky A.V. Interactive workflow-based infrastructure for urgent computing. Procedia Computer Science. 2013. Vol. 18. pp. 2223 – 2232.. doi: 10.1016/j.procs.2013.05.393
Чуров Т.Н., Насонов Д.А., Штейнберг Б.Я., Бухановский А.В. Особенности вероятностного анализа производительности и надежности проблемно-ориентированных сред облачных вычислений. Известия высших учебных заведений. Приборостроение. 2011. Т. 54. № 10. С. 51-57.
Насонов Д.А., Иванов С.В., Бухановский А.В. Распределенная программная платформа для протипирования интеллектуальных систем управления сложными динамическими объектами. Известия высших учебных заведений. Приборостроение. 2011. Т. 54. № 10. С. 92-94.
Мостаманди М.В., Насонов Д.А., Калюжная А.В., Бухановский А.В. Ансамблевые прогнозы экстремальных гидрометеорологических явлений в распределенной среде CLAVIRE. Известия высших учебных заведений. Приборостроение. 2011. Т. 54. № 10. С. 100-102.
Российская Федерация, Санкт-Петербург
Российская Федерация
Российская Федерация, Санкт-Петербург
Российская Федерация