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Efficient resource selection algorithm for enterprise grid systems

Nik, Wan Nor Shuhadah Wan, Zhou, Bing Bing, Zomaya, Albert Y. and Abawajy, Jemal H. 2011, Efficient resource selection algorithm for enterprise grid systems, in ISPA 2011 : Proceedings of the 9th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE, [Busan, Korea], pp. 57-62.

Document type: Conference Paper
Collection: School of Information Technology
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Title Efficient resource selection algorithm for enterprise grid systems
Author(s) Nik, Wan Nor Shuhadah Wan
Zhou, Bing Bing
Zomaya, Albert Y.
Abawajy, Jemal H.
Conference name IEEE International Symposium on Parallel and Distributed Processing with Applications (9th : 2011 : Busan, Korea)
Conference location Busan, Korea
Conference dates 26-28 May 2011
Title of proceedings ISPA 2011 : Proceedings of the 9th IEEE International Symposium on Parallel and Distributed Processing with Applications
Editor(s) [Unknown]
Publication date 2011
Conference series IEEE International Symposium on Parallel and Distributed Processing with Applications
Start page 57
End page 62
Publisher IEEE
Place of publication [Busan, Korea]
Keyword(s) asynchronous replication
enterprise grid computing
performance prediction
QoS
resource selection
Summary This paper addresses a resource selection problem for applications that update data in enterprise grid systems. The problem is insufficiently addressed as most of the existing resource selection approaches in grid environments primarily deal with read-only job. We propose a simple yet efficient algorithm that deals with the complexity of resource selection problem in enterprise grid systems. The problem is formulated as a Multi Criteria Decision Making (MCDM) problem. Our proposed algorithm hides the complexity of resource selection process without neglecting important components that affect job response time. The difficulty on estimating job response time is captured by representing them in terms of different QoS criteria levels at each resource. Our experiments show that the proposed algorithm achieves very good results with good system performance as compared to existing algorithms.
ISBN 9780769544281
9781457703911
Language eng
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 890206 Internet Hosting Services (incl. Application Hosting Services)
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2011
Copyright notice ©2011, Crown Copyright
Persistent URL http://hdl.handle.net/10536/DRO/DU:30042191
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