Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities

The increased demand for big data processing has led to the development of distributed computing and data storage technologies. However, building an efficient distributed system is a rather difficult task and has a few problems. The problems of building a distributed system are related to its securi...

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Главные авторы:	Shiriaev, E. M., Ширяев, Е. М.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Big data Weighted round robin Distributed computing systems Distributed storage systems Least connection Load balancing
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29187
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spelling	ir-123456789-291872024-10-31T11:30:02Z Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities Shiriaev, E. M. Ширяев, Е. М. Big data Weighted round robin Distributed computing systems Distributed storage systems Least connection Load balancing The increased demand for big data processing has led to the development of distributed computing and data storage technologies. However, building an efficient distributed system is a rather difficult task and has a few problems. The problems of building a distributed system are related to its security and reliability. In this paper, research is carried out related to increasing the reliability of a distributed storage system. During the study, an analysis of load balancing methods was carried out. Based on the analysis, a hybrid load balancing method was compiled. The hybrid method is based on the Least Connection and Weighted Round Robin methods. This method allows you to effectively balance the load in distributed storage systems, which increases their reliability. 2024-10-31T11:29:06Z 2024-10-31T11:29:06Z 2024 Статья Shiriaev E. Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities // Lecture Notes in Networks and Systems. - 2024. - 1044 LNNS. - pp. 95 - 104. - DOI: 10.1007/978-3-031-64010-0_10 https://dspace.ncfu.ru/handle/123456789/29187 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Big data Weighted round robin Distributed computing systems Distributed storage systems Least connection Load balancing
spellingShingle	Big data Weighted round robin Distributed computing systems Distributed storage systems Least connection Load balancing Shiriaev, E. M. Ширяев, Е. М. Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities
description	The increased demand for big data processing has led to the development of distributed computing and data storage technologies. However, building an efficient distributed system is a rather difficult task and has a few problems. The problems of building a distributed system are related to its security and reliability. In this paper, research is carried out related to increasing the reliability of a distributed storage system. During the study, an analysis of load balancing methods was carried out. Based on the analysis, a hybrid load balancing method was compiled. The hybrid method is based on the Least Connection and Weighted Round Robin methods. This method allows you to effectively balance the load in distributed storage systems, which increases their reliability.
format	Статья
author	Shiriaev, E. M. Ширяев, Е. М.
author_facet	Shiriaev, E. M. Ширяев, Е. М.
author_sort	Shiriaev, E. M.
title	Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities
title_short	Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities
title_full	Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities
title_fullStr	Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities
title_full_unstemmed	Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities
title_sort	load balancing methods for distributed data storage: challenges and opportunities
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2024
url	https://dspace.ncfu.ru/handle/123456789/29187
work_keys_str_mv	AT shiriaevem loadbalancingmethodsfordistributeddatastoragechallengesandopportunities AT širâevem loadbalancingmethodsfordistributeddatastoragechallengesandopportunities
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Load Balancing Methods for Distributed Data Storage: Challenges and Opportunities

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