NDLI: Using Frequent Workload Patterns in Resource Selection for Grid Jobs

Content Provider	IEEE Xplore Digital Library
Author	Tyng-Yeu Liang Siou-Ying Wang I-Han Wu
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung (Tyng-Yeu Liang; Siou-Ying Wang; I-Han Wu)
Abstract	Resource selection is an important issue of grid computing. If a grid job can stably gain enough CPU time from the same resources, not only the execution time of the job but also the frequency of resource reallocation is effectively minimized. However, most of the proposed methods are not effective enough to resolve the problem of resource selection in computational grids. The main reason is that these methods usually make use of current workload state or short-term prediction in available CPU time to be the basis of resource selection while most of grid jobs require a long execution time. To address this problem, we propose a novel algorithm of resource selection for computational grids in this paper. The basic concept of this algorithm is to discover the frequent workload patterns of resources, and then select resources for grid jobs according to the long-term prediction of resource availability by using frequent workload patterns.
Starting Page	807
Ending Page	812
File Size	347245
Page Count	6
File Format	PDF
ISBN	9780769534732
DOI	10.1109/APSCC.2008.217
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-09
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Wide area networks Costs Weather forecasting Predictive models association rules resource availability History Association rules computational grids Degradation resource selection Grid computing frequent workload patterns Computer networks
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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