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Models and Technologies for Autoscaling Based on Machine Learning for Microservices Architecture
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| dc.contributor.author | Семеріков, Сергій Олексійович | |
| dc.contributor.author | Zubov, Dmytro | |
| dc.contributor.author | Kupin, Andrey | |
| dc.contributor.author | Kosei, Maxim | |
| dc.contributor.author | Holiver, Vladyslav | |
| dc.date.accessioned | 2024-07-11T17:12:50Z | |
| dc.date.available | 2024-07-11T17:12:50Z | |
| dc.date.issued | 2024-04-16 | |
| dc.identifier.citation | Semerikov S. Models and Technologies for Autoscaling Based on Machine Learning for Microservices Architecture / Serhiy Semerikov, Dmytro Zubov, Andrey Kupin, Maxim Kosei, Vladyslav Holiver // Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, Lviv, Ukraine, April 12-13, 2024 / Edited by: Vasyl Lytvyn, Agnieszka Kowalska-Styczen, Victoria Vysotska // CEUR Workshop Proceedings. – 2024. – Vol. 3664. – P. 316-330. – Access mode : https://ceur-ws.org/Vol-3664/paper22.pdf | uk |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | https://ceur-ws.org/Vol-3664/paper22.pdf | |
| dc.identifier.uri | http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/10370 | |
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| dc.description.abstract | The subject of the research in the article is machine learning processes in web service systems used for providing online services. The subject of the study is methods and tools for auto-scaling these web services using machine learning. The evolution of web services, their structure including development history, scaling options, key concepts of microservices architecture, and general principles of artificial intelligence and machine learning are analyzed, providing an important foundation for understanding technological innovations and potential enhancements for web services. The most significant aspects of applying machine learning in microservices architecture are identified, including various design patterns and machine learning models, which form the basis for improving the efficiency and capabilities of complex systems. Relevant mathematical models and necessary software are proposed. | uk |
| dc.language.iso | en | uk |
| dc.subject | microservices architecture | uk |
| dc.subject | artificial intelligence | uk |
| dc.subject | machine learning | uk |
| dc.subject | deep learning | uk |
| dc.subject | SAGA | uk |
| dc.subject | CRUD | uk |
| dc.subject | CQRS | uk |
| dc.subject | API gateway | uk |
| dc.subject | circuit breaker | uk |
| dc.subject | Python | uk |
| dc.subject | containers | uk |
| dc.subject | Docker | uk |
| dc.subject | Ubuntu | uk |
| dc.title | Models and Technologies for Autoscaling Based on Machine Learning for Microservices Architecture | uk |
| dc.type | Article | uk |
