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

Дата
2021
Авторы
Rovnyagin, M. M.
Dmitriev, S. O.
Hrapov, A. S.
Kozlov, V. K.
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Volume Title
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Научные группы
Организационные подразделения
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Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 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.
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Цитирование
Algorithm 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
URI
https://www.doi.org/10.1109/ElConRus51938.2021.9396294
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85104702323&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800136
 https://openrepository.mephi.ru/handle/123456789/24033
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