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https://dspace.ncfu.ru/handle/20.500.12258/18090
Title: | Methods and models of resource allocation in load balancing clusters |
Authors: | Mochalov, V. P. Мочалов, В. П. Linets, G. I. Линец, Г. И. Palkanov, I. S. Палканов, И. С. |
Keywords: | Computing clusters;Data centers;Efficient resource allocation;Load balancing service;System of mappings |
Issue Date: | 2021 |
Publisher: | Springer Science and Business Media Deutschland GmbH |
Citation: | 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 |
Series/Report no.: | Lecture Notes in Networks and Systems |
Abstract: | 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 |
URI: | http://hdl.handle.net/20.500.12258/18090 |
Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS |
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