Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach

Replica selection in data grids aims to select the best replica location based on the quality-of-service parameters preferred by the user. This choice is important because of the limited number of available data resources in comparison with the large number of users. Typically, user requests are ful...

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Main Authors: Jaradat, A., Alhussian, H., Patel, A., Fati, S.M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30050 /
Published: Elsevier B.V. 2020
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082715222&doi=10.1016%2fj.csi.2020.103432&partnerID=40&md5=5f38005883fe0b72d7de71495ca874d7
http://eprints.utp.edu.my/30050/
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spelling utp-eprints.300502022-03-25T03:22:11Z Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach Jaradat, A. Alhussian, H. Patel, A. Fati, S.M. Replica selection in data grids aims to select the best replica location based on the quality-of-service parameters preferred by the user. This choice is important because of the limited number of available data resources in comparison with the large number of users. Typically, user requests are fulfilled in a first-in, first-out manner. This may satisfy the users at the beginning of the queue more than those at the end. Better results can be achieved by considering the requests of all users simultaneously, thereby leading to a higher level of overall satisfaction; however, this is a difficult task because it requires a vast order of magnitude to search through a huge set of users. Therefore, in this study, the proposed combination of hybrid of the genetic algorithm and user-preference algorithm is used to overcome this problem. The results overwhelmingly verify that the proposed hybrid approach outperformed previously known used methods significantly. © 2020 Elsevier B.V. Elsevier B.V. 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082715222&doi=10.1016%2fj.csi.2020.103432&partnerID=40&md5=5f38005883fe0b72d7de71495ca874d7 Jaradat, A. and Alhussian, H. and Patel, A. and Fati, S.M. (2020) Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach. Computer Standards and Interfaces, 71 . http://eprints.utp.edu.my/30050/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Replica selection in data grids aims to select the best replica location based on the quality-of-service parameters preferred by the user. This choice is important because of the limited number of available data resources in comparison with the large number of users. Typically, user requests are fulfilled in a first-in, first-out manner. This may satisfy the users at the beginning of the queue more than those at the end. Better results can be achieved by considering the requests of all users simultaneously, thereby leading to a higher level of overall satisfaction; however, this is a difficult task because it requires a vast order of magnitude to search through a huge set of users. Therefore, in this study, the proposed combination of hybrid of the genetic algorithm and user-preference algorithm is used to overcome this problem. The results overwhelmingly verify that the proposed hybrid approach outperformed previously known used methods significantly. © 2020 Elsevier B.V.
format Article
author Jaradat, A.
Alhussian, H.
Patel, A.
Fati, S.M.
spellingShingle Jaradat, A.
Alhussian, H.
Patel, A.
Fati, S.M.
Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach
author_sort Jaradat, A.
title Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach
title_short Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach
title_full Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach
title_fullStr Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach
title_full_unstemmed Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach
title_sort multiple users replica selection in data grids for fair user satisfaction: a hybrid approach
publisher Elsevier B.V.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082715222&doi=10.1016%2fj.csi.2020.103432&partnerID=40&md5=5f38005883fe0b72d7de71495ca874d7
http://eprints.utp.edu.my/30050/
_version_ 1741197341765926912
score 11.62408

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