Scalable grid resource allocation for scientific workflows using hybrid metaheuristics

Buss, G., Lee, K. ORCID: 0000-0002-2730-9150 and Veit, D., 2008. Scalable grid resource allocation for scientific workflows using hybrid metaheuristics. In: P. Bellavista, R.S. Chang, H.C. Chao, S.F. Lin and P.M.A. Sloot, eds., Advances in Grid and Pervasive Computing: Proceedings of the 5th International Conference (GPC 2010), Hualien, Taiwan, 10-13 May 2010. Berlin: Springer, pp. 256-267. ISBN 9783642130663


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Grid infrastructure is a valuable tool for scientific users, but it is characterized by a high level of complexity which makes it difficult for them to quantify their requirements and allocate resources. In this paper, we show that resource trading is a viable and scalable approach for scientific users to consume resources. We propose the use of Grid resource bundles to specify supply and demand combined with a hybrid metaheuristic method to determine the allocation of resources in a market-based approach. We evaluate this through the application domain of scientific workflow execution on the Grid.

Item Type: Chapter in book
Creators: Buss, G., Lee, K. and Veit, D.
Publisher: Springer
Place of Publication: Berlin
Date: 2008
ISSN: 0302-9743
Divisions: Schools > School of Science and Technology
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:52
Last Modified: 09 Jun 2017 13:43

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