Distributed Resource Scheduling in Grid Computing Using Fuzzy Approach

Scheduling is a fundamental issue in achieving high performance in multiclusters and computational grids. In this paper, we investigate the scheduling problem using the multilayer scheduling model. For attaining scalability, the proposed scheduler uses a distributed approach with the capability of considering the local clusters advantages for executing the jobs. On the other hand, the distributed scheduler exploits the capabilities of fuzzy logic to qualitatively deal with different parameters available in the scheduling decision. Simulation results show the effectiveness of the algorithm in terms of job completion time.