Research of Grid Task Scheduling Based on Genetic Ant Colony Hybrid Algorithm

摘要：

An excellent task scheduling algorithm can efficiently allocate grid resources to reduce the total task execution time, thereby to enhance the performance of the grid. In this paper, integration of the respective advantages of genetic algorithm and ant colony algorithm, genetic algorithms and ant colony algorithm are integrated to be applied in task scheduling in grid environment, the simulation results show that the application of genetic ant colony algorithm for grid task scheduling can reduce the total task completion time, and having good load balance, task scheduling efficiency.

关键词： genetic algorithm ant colony algorithm grid task scheduling

作者: Xianmin Wei

作者单位: Computer and Communication Engineering School of Weifang University Weifang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measurement and Control Engineering(2010年IEEE测量与控制工程国际会议 ICMCE2010)

会议地点: 成都

会议语种:英文

页码: 161-163

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）