The study of grid task scheduling based on AFSA algorithm
Ke Chen, San Si Li · International Journal of Computer Applications in Technology · 2012
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.