Paper Title:
Grid Resources’ Fuzzy Clustering Based on Mobile Agent
  Abstract

To speed up grid resources’ clustering, this paper presents a grid resource fuzzy clustering model based on mobile agent. A fuzzy clustering task is decomposed into some parallel subtasks which then are distributed to some grid nodes for parallel processing by using mobile agents through B-shift algorithm so as to improve clustering efficiency. This paper implements grid resources’ fuzzy clustering based on mobile agent with Aglet platform, and evaluates the performances through simulation experiments. The experiments show that the clustering time of this method is shorter than that of center fuzzy clustering method.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
1038-1043
DOI
10.4028/www.scientific.net/KEM.467-469.1038
Citation
D. Guo, Q. Li, M. Zhang, B. X. Guo, L. Hu, "Grid Resources’ Fuzzy Clustering Based on Mobile Agent", Key Engineering Materials, Vols. 467-469, pp. 1038-1043, 2011
Online since
February 2011
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Price
$32.00
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