Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/29191
Title: Analytical Review of Orchestration Methods for Distributed Computing Systems Under Conditions of Dynamic Scaling
Authors: Shiriaev, E. M.
Ширяев, Е. М.
Bezuglova, E. S.
Безуглова, Е. С.
Valuev, G. V.
Валуев, Г. В.
Gladkova, N. A.
Гладкова, Н. А.
Keywords: Cybernets;Orchestration;Distributed computing systems;Machine learning;TOSCA
Issue Date: 2024
Publisher: Springer Science and Business Media Deutschland GmbH
Citation: Shiriaev 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_14
Series/Report no.: Lecture Notes in Networks and Systems
Abstract: In 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.
URI: https://dspace.ncfu.ru/handle/123456789/29191
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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