Paper Title:
Resource Allocation for Parallel Task in Grids
  Abstract

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, 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
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