Methods and models of resource allocation in load balancing clusters

Modern data centers are complex and effective solutions for managing enterprises and corporations, organizing data processing and storage systems, and distributing software applications among available resources. This paper considers load balancing clusters of data centers that contain a definite se...

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Hlavní autoři:	Mochalov, V. P., Мочалов, В. П., Linets, G. I., Линец, Г. И., Palkanov, I. S., Палканов, И. С.
Médium:	Статья
Jazyk:	English
Vydáno:	Springer Science and Business Media Deutschland GmbH 2021
Témata:	Computing clusters Data centers Efficient resource allocation Load balancing service System of mappings
On-line přístup:	https://dspace.ncfu.ru/handle/20.500.12258/18090
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spelling	ir-20.500.12258-180902021-09-06T09:36:51Z Methods and models of resource allocation in load balancing clusters Mochalov, V. P. Мочалов, В. П. Linets, G. I. Линец, Г. И. Palkanov, I. S. Палканов, И. С. Computing clusters Data centers Efficient resource allocation Load balancing service System of mappings Modern data centers are complex and effective solutions for managing enterprises and corporations, organizing data processing and storage systems, and distributing software applications among available resources. This paper considers load balancing clusters of data centers that contain a definite set of application servers, file servers, data storage systems, and an input-output system, all interconnected by a switching system and communication channels. The goal of research is to increase the efficiency of virtualized data centers using a new methodological approach, as well as rational methods and models, to distribute their load among the available software and hardware means. Interrelated mathematical methods and models, necessary to develop specialized software for the rational planning and allocation of the data center’s physical resources on a given time interval, are proposed. These methods and models are based on the system of correct mappings of the set of request parameters into the known characteristics of the data center’s physical resources. As an optimization criterion, the maximum system performance for a certain time interval is used 2021-09-06T09:34:24Z 2021-09-06T09:34:24Z 2021 Статья Mochalov, V. P.; Linets, G. I.; Palkanov, I. S. Methods and models of resource allocation in load balancing clusters // Lecture Notes in Networks and Systems. - 2021. - Том 230. - Стр.: 552 - 563 http://hdl.handle.net/20.500.12258/18090 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Computing clusters Data centers Efficient resource allocation Load balancing service System of mappings
spellingShingle	Computing clusters Data centers Efficient resource allocation Load balancing service System of mappings Mochalov, V. P. Мочалов, В. П. Linets, G. I. Линец, Г. И. Palkanov, I. S. Палканов, И. С. Methods and models of resource allocation in load balancing clusters
description	Modern data centers are complex and effective solutions for managing enterprises and corporations, organizing data processing and storage systems, and distributing software applications among available resources. This paper considers load balancing clusters of data centers that contain a definite set of application servers, file servers, data storage systems, and an input-output system, all interconnected by a switching system and communication channels. The goal of research is to increase the efficiency of virtualized data centers using a new methodological approach, as well as rational methods and models, to distribute their load among the available software and hardware means. Interrelated mathematical methods and models, necessary to develop specialized software for the rational planning and allocation of the data center’s physical resources on a given time interval, are proposed. These methods and models are based on the system of correct mappings of the set of request parameters into the known characteristics of the data center’s physical resources. As an optimization criterion, the maximum system performance for a certain time interval is used
format	Статья
author	Mochalov, V. P. Мочалов, В. П. Linets, G. I. Линец, Г. И. Palkanov, I. S. Палканов, И. С.
author_facet	Mochalov, V. P. Мочалов, В. П. Linets, G. I. Линец, Г. И. Palkanov, I. S. Палканов, И. С.
author_sort	Mochalov, V. P.
title	Methods and models of resource allocation in load balancing clusters
title_short	Methods and models of resource allocation in load balancing clusters
title_full	Methods and models of resource allocation in load balancing clusters
title_fullStr	Methods and models of resource allocation in load balancing clusters
title_full_unstemmed	Methods and models of resource allocation in load balancing clusters
title_sort	methods and models of resource allocation in load balancing clusters
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2021
url	https://dspace.ncfu.ru/handle/20.500.12258/18090
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Methods and models of resource allocation in load balancing clusters

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