The study of improved grid resource scheduling algorithm

Authors:
Qingshui Li;Yuling Zhai;Shanshan Han;Binbin Mo
Affiliations:
Computer Science and Technology College, Zhejiang University of Technology, Hangzhou, China;Hangzhou Yuanjiang Technology Ltd., Hangzhou, China;Computer Science and Technology College, Zhejiang University of Technology, Hangzhou, China;Computer Science and Technology College, Zhejiang University of Technology, Hangzhou, China
Venue:
ICICA'11 Proceedings of the Second international conference on Information Computing and Applications
Year:
2011

Citing 3
Cited 0

Sub optimal scheduling in a grid using genetic algorithms

Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications
Managing computer networks using peer-to-peer technologies

IEEE Communications Magazine

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the computer technology and network technology development, great meet people's work and life needs, but a single computer can not meet the needs of computing or storage, grid resource scheduling strategy can achieve resource sharing, This paper introduces artificial school of fish algorithm to grid resource scheduling in order to further use the element of heuristic optimization method to find a more suitable high-performance grid computing environment, resource scheduling strategy. Through uses AFSA algorithm solving this kind of scheduling of resources question, seeks the new key to the situation for the scheduling of resources question, by enhances the scheduling of resources effectively the efficiency. And carried on the simulation experiment after the improvement algorithm in the Gridsim grid simulation software, and has carried on the contrast with other algorithms, finally indicated this article proposed the algorithm has the better search ability and the convergence rate.