Authors: Ke Chen; San-Si Li
Addresses: Department of Computer Science and Technology, Guangdong University of Petrochemical Technology, Maoming, Guangdong, China. ' Department of Computer Science and Technology, Guangdong University of Petrochemical Technology, Maoming, Guangdong, China
Abstract: This paper has made a thorough analysis of the artificial school of fish (AFSA) algorithm and has made improvement in view of the algorithm's insufficiency, by creating an improvement algorithm. It is applied in the grid scheduling of resources strategy, seeks one kind by the time to suit in the grid computation environment high performance scheduling of resources strategy. Use of the AFSA algorithm to solve the scheduling of resources question, is advantageous in improving the performance, and simultaneously is also helpful in the further studies to enhance the grid system resources to improve the performance, to seek the new key to the situation for the scheduling of resources question, and to enhance the scheduling of resources to increase the efficiency. This paper has made the improvement algorithm in the Gridsim grid simulation software, and a simulation experiment has been carried out in contrast with other algorithms, indicated that the proposed improvement algorithm has better search ability and convergence rate.
Keywords: grid resources; AFSA; Gridsim; DCC strategy; artificial school of fish algorithm; simulation; grid scheduling; search ability; convergence rate; task scheduling.
International Journal of Computer Applications in Technology, 2012 Vol.44 No.2, pp.145 - 151
Available online: 20 Aug 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article