A Fuzzy Reputation Based Ant Algorithm for Grid Scheduling

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.