A Fuzzy Reputation Based Ant Algorithm for Grid Scheduling

摘要：

Efficient algorithms for scheduling the resources to successfully execute the tasks submitted by the users are of great importance in dynamic environments like Grid. In this paper, a grid scheduling is proposed using Ant Colony Optimization(ACO) algorithm and Fuzzy Reputation(FR) Aggregation to improve the decision of scheduling. Empirical results show that this method can improve the velocity of execution by taking advantage of historical information and nodes information. The using of our Fuzzy Reputation-based ACO(FR_ACO) for the grid scheduling has been found to be efficient and effective in allocating tasks to proper resources.

作者: Zhurong Zhou Wei Deng Linrui Lu

作者单位: College of Computer& Information Science, Southwest University Chongqing, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 102-104

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）