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

Author

Hu, Liang ; Guo, Dong ; Che, Xilong

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun

fYear

2008

fDate

25-27 Sept. 2008

Firstpage

1019

Lastpage

1024

Abstract

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.

Keywords

computational complexity; data mining; fuzzy set theory; grid computing; matrix algebra; pattern clustering; resource allocation; data mining; fast resource selection approach; fuzzy matrix; grid application; low complexity algorithm; preference-based fuzzy clustering technology; Application software; Clustering algorithms; Clustering methods; Computer science; Costs; Educational institutions; Grid computing; High performance computing; Logic; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Dalian

Print_ISBN

978-0-7695-3352-0

Type

conf

DOI

10.1109/HPCC.2008.56

Filename

4637819