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

Authors:
Liang Hu;Dong Guo;Xilong Che
Affiliations:
-;-;-
Venue:
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
Year:
2008

Citing 0
Cited 1

Jobs run-time scheduling in a Java based grid architecture

ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications

Quantified Score

Hi-index	0.00

Visualization

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.