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A Fast Resource Selection Approach for Grid Applications Based on Fuzzy Clustering Technology

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3 Author(s)
Liang Hu ; Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun ; Dong Guo ; Xilong Che

To meet different applications' requirements, a preference-based fuzzy clustering method is used to pre-classify resources for selection. Meanwhile, a simple and direct algorithm with low complexity is introduced and then improved to compute transitive closure of fuzzy matrix when doing fuzzy clustering so as to realize resources' fast allocation. Experiments prove that resources which meet application requirements can be selected quickly by applying this method, thus grid applications' performance can be improved.

Published in:

High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on

Date of Conference:

25-27 Sept. 2008

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