Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/29191
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dc.contributor.authorShiriaev, E. M.-
dc.contributor.authorШиряев, Е. М.-
dc.contributor.authorBezuglova, E. S.-
dc.contributor.authorБезуглова, Е. С.-
dc.contributor.authorValuev, G. V.-
dc.contributor.authorВалуев, Г. В.-
dc.contributor.authorGladkova, N. A.-
dc.contributor.authorГладкова, Н. А.-
dc.date.accessioned2024-11-01T08:04:58Z-
dc.date.available2024-11-01T08:04:58Z-
dc.date.issued2024-
dc.identifier.citationShiriaev E., Bezuglova E., Valuev G., Gladkova N. Analytical Review of Orchestration Methods for Distributed Computing Systems Under Conditions of Dynamic Scaling // Lecture Notes in Networks and Systems. - 2024. - 1044 LNNS. - pp. 148 - 156. - DOI: 10.1007/978-3-031-64010-0_14ru
dc.identifier.urihttps://dspace.ncfu.ru/handle/123456789/29191-
dc.description.abstractIn this paper, a study of orchestration methods is carried out in order to find the most optimal method for managing distributed computing systems. To solve this problem, a study was made of methods for analyzing distributed computing systems, as well as methods of orchestration. In the course of the study, it was found that for building distributed computing systems with dynamic scaling, it is most optimal to use hybrid orchestration based on mathematical modeling of the system. As a solution, the use of hybrid orchestration based on OASIS TOSCA templates and Kubernets containers is proposed.ru
dc.language.isoenru
dc.publisherSpringer Science and Business Media Deutschland GmbHru
dc.relation.ispartofseriesLecture Notes in Networks and Systems-
dc.subjectCybernetsru
dc.subjectOrchestrationru
dc.subjectDistributed computing systemsru
dc.subjectMachine learningru
dc.subjectTOSCAru
dc.titleAnalytical Review of Orchestration Methods for Distributed Computing Systems Under Conditions of Dynamic Scalingru
dc.typeСтатьяru
vkr.instФакультет математики и компьютерных наук имени профессора Н.И. Червяковаru
vkr.instСеверо-Кавказский центр математических исследованийru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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