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Information Technology Journal
Year: 2013  |  Volume: 12  |  Issue: 24  |  Page No.: 8010 - 8014

Resource Scheduling Based on Ant Colony Optimization Algorithm in Grid Computing Environments

Lei Chen    

Abstract: Resource scheduling is a extremely complex problem in grid computing. The performance of Grid strongly depends on the efficiency of resource scheduling. But, resource scheduling needs more optimal resource scheduling algorithm, otherwise it increases the cost and completion time and decreases the resource utilization efficiency. To improve performance of grid computing and resource utilization efficiency, it is urgent to design an optimal resource scheduling algorithm. This paper proposes Grid resource scheduling algorithm based on ant colony optimization. The proposed algorithm can achieve optimized resource allocation policy based on the users’ demand and improve the system’s performance. The new resource scheduling algorithm is implemented and its advantages are investigated in the Gridsim simulator. The simulation results show that the application of resource scheduling algorithm based on ant colony optimization can effectively reduce total task completion time, balance the load of system well and improve the efficiency of resource scheduling.

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