DocumentCode
2266097
Title
Efficient Resource Selection Algorithm for Enterprise Grid Systems
Author
Nik, Wan Nor Shuhadah Wan ; Zhou, Bing Bing ; Zomaya, Albert Y. ; Abawajy, Jemal H.
Author_Institution
Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW, Australia
fYear
2011
fDate
26-28 May 2011
Firstpage
57
Lastpage
62
Abstract
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.
Keywords
decision making; enterprise resource planning; grid computing; quality of service; resource allocation; MCDM problem; QoS criteria levels; enterprise grid systems; estimating job response time; grid environments; multi criteria decision making problem; read-only job; resource selection algorithm; system performance; Algorithm design and analysis; Availability; Business; Prediction algorithms; Quality of service; Time factors; QoS; asynchronous replication; enterprise grid computing; performance prediction; resource selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing with Applications (ISPA), 2011 IEEE 9th International Symposium on
Conference_Location
Busan
Print_ISBN
978-1-4577-0391-1
Electronic_ISBN
978-0-7695-4428-1
Type
conf
DOI
10.1109/ISPA.2011.25
Filename
5951883
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