A weighted mean time Min-Min Max-Min selective scheduling strategy for independent tasks on Grid

With the emergence of Grid technologies, the problem of scheduling tasks in heterogeneous systems has been arousing attention. Task scheduling is a NP-complete problem[5] and it is more complicated under the Grid environment. To better use tremendous capabilities of Grid system, effective and efficient scheduling algorithms are needed. In this paper, we are presenting a new heuristic scheduling strategy for Independent tasks. The strategy is based on two traditional scheduling heuristics Min-Min and Max-Min. The strategy also considers the overall performance of machines to decide the scheduling sequence of tasks. We have evaluated our scheduling strategy within a grid simulator known as GridSim. We compared the results given by our strategy with the existing scheduling heuristics Min-Min and Max-Min and the results shows that our strategy outperforms in many cases than the existing ones.