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Algorithm of ML-based Re-scheduler for Container Orchestration System

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dc.contributor.authorRovnyagin, M. M.
dc.contributor.authorDmitriev, S. O.
dc.contributor.authorHrapov, A. S.
dc.contributor.authorKozlov, V. K.
dc.contributor.authorРовнягин, Михаил Михайлович
dc.contributor.authorДмитриев, Святослав Олегович
dc.contributor.authorХрапов, Александр Сергеевич
dc.date.accessioned2024-11-29T15:27:56Z
dc.date.available2024-11-29T15:27:56Z
dc.date.issued2021
dc.description.abstract© 2021 IEEE.Due to the gradual growth of the number of companies that use cloud technologies, there is an increase in the number of enterprises deploying and using an internal private cloud. Due to this trend, there is growth of interest in various technologies that ensure the efficiency of the cloud infrastructure. One of such technologies is the orchestration technology, the core of which is a scheduler-a special component that allows efficiently distribute virtualized entities with running tasks across computational nodes. However, schedulers usually only plan the locations schemes of tasks that was not started yet; often they do not plan to make changes to the arrangement of already running entities. To create the plan of changing the state of already running tasks deschedulers and reschedulers are additionally used. This article proposes a solution using a Reinforcement Learning based rescheduler and an algorithm of its preparation.
dc.format.extentС. 613-617
dc.identifier.citationAlgorithm of ML-based Re-scheduler for Container Orchestration System / Rovnyagin, M.M. [et al.] // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 613-617. - 10.1109/ElConRus51938.2021.9396294
dc.identifier.doi10.1109/ElConRus51938.2021.9396294
dc.identifier.urihttps://www.doi.org/10.1109/ElConRus51938.2021.9396294
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85104702323&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800136
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/24033
dc.relation.ispartofProceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
dc.titleAlgorithm of ML-based Re-scheduler for Container Orchestration System
dc.typeConference Paper
dspace.entity.typePublication
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