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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Abstract

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
ISBN:	9783642130663
ISSN:	0302-9743
Identifiers:	Number Type 10.1007/978-3-642-13067-0_29 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:52
Last Modified:	09 Jun 2017 13:43
URI:	https://irep.ntu.ac.uk/id/eprint/19351

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