Replication in data grid: Determining important resources

Replication is an important activity in determining the availability of resources in data grid.Nevertheless, due to high computational and storage cost, having replicas for all existing resources may not be an efficient practice. Existing approach in data replication have been focusing on utilizing...

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主要作者: Yusof, Yuhanis
其他作者: Hwa, Young Jeong
格式: Book Section
語言:English
出版: Springer Berlin Heidelberg 2014
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在線閱讀:http://repo.uum.edu.my/17116/1/4.pdf
http://repo.uum.edu.my/17116/
http://doi.org/10.1007/978-3-642-41674-3_102
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spelling my.uum.repo.171162016-05-26T06:45:43Z http://repo.uum.edu.my/17116/ Replication in data grid: Determining important resources Yusof, Yuhanis QA76 Computer software Replication is an important activity in determining the availability of resources in data grid.Nevertheless, due to high computational and storage cost, having replicas for all existing resources may not be an efficient practice. Existing approach in data replication have been focusing on utilizing information on the resource itself or network capability in order to determine replication of resources.In this paper, we present the integration of three types of relationships for the mentioned purpose. The undertaken approach combines the viewpoint of user, file system and the grid itself in identifying important resource that requires replication.Experimental work has been done via OptorSim and evaluation is made based on the job execution time.Results suggested that the proposed strategy produces a better outcome compared to existing approaches. Springer Berlin Heidelberg Hwa, Young Jeong Obaidat, Mohammad S. Yen, Neil Y. Park, James Jong Hyuk 2014 Book Section PeerReviewed application/pdf en http://repo.uum.edu.my/17116/1/4.pdf Yusof, Yuhanis (2014) Replication in data grid: Determining important resources. In: Advances in Computer Science and its Applications. Lecture Notes in Electrical Engineering, 279 (1449). Springer Berlin Heidelberg, pp. 717-722. ISBN 978-3-642-41673-6 http://doi.org/10.1007/978-3-642-41674-3_102 doi:10.1007/978-3-642-41674-3_102
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Yusof, Yuhanis
Replication in data grid: Determining important resources
description Replication is an important activity in determining the availability of resources in data grid.Nevertheless, due to high computational and storage cost, having replicas for all existing resources may not be an efficient practice. Existing approach in data replication have been focusing on utilizing information on the resource itself or network capability in order to determine replication of resources.In this paper, we present the integration of three types of relationships for the mentioned purpose. The undertaken approach combines the viewpoint of user, file system and the grid itself in identifying important resource that requires replication.Experimental work has been done via OptorSim and evaluation is made based on the job execution time.Results suggested that the proposed strategy produces a better outcome compared to existing approaches.
author2 Hwa, Young Jeong
author_facet Hwa, Young Jeong
Yusof, Yuhanis
format Book Section
author Yusof, Yuhanis
author_sort Yusof, Yuhanis
title Replication in data grid: Determining important resources
title_short Replication in data grid: Determining important resources
title_full Replication in data grid: Determining important resources
title_fullStr Replication in data grid: Determining important resources
title_full_unstemmed Replication in data grid: Determining important resources
title_sort replication in data grid: determining important resources
publisher Springer Berlin Heidelberg
publishDate 2014
url http://repo.uum.edu.my/17116/1/4.pdf
http://repo.uum.edu.my/17116/
http://doi.org/10.1007/978-3-642-41674-3_102
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score 13.149126