Resource Allocation for Parallel Task in Grids

Abstract:

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Task running in Grids may require multiple types of resources simultaneously. Proposing and designing a resource discovery scheme based on Economic Agent. Base on the economic model and the technique in agent of grouping nodes sharing similar files to improve efficiency, this thesis suggests a resource discovery scheme based on economic agent, which is called EAGRD. Theoretical models on resource discovery are provided, under which EAGRD is compared with existing schemes theoretically. By controlling propagation of message into related communities, EAGRD improves time and network efficiency at the cost of topological maintenance overhead.

Info:

Periodical:

Advanced Materials Research (Volumes 181-182)

Edited by:

Qi Luo and Yuanzhi Wang

Pages:

866-872

DOI:

10.4028/www.scientific.net/AMR.181-182.866

Citation:

J. Xie and M. H. Wu, "Resource Allocation for Parallel Task in Grids", Advanced Materials Research, Vols. 181-182, pp. 866-872, 2011

Online since:

January 2011

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Price:

$35.00

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