Title :
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
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;
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
DOI :
10.1109/HPCC.2008.56
