Bi-objective Scheduling in Heterogeneous Grid Computing Systems Using a Parallel Micro Evolutionary Algorithm
نویسندگان
چکیده
This work presents the application of a micro evolutionary algorithm to solve a biobjective scheduling problem in heterogeneous grid computing environments. A new formulation of the bi-objective scheduling problem is introduced, by considering the makespan and weighted response ratio metrics, which account for the total execution time and the waiting time respectively. The problem is NP-hard, and a parallel implementation of the proposed micro evolutionary algorithm is presented, in order to find accurate results in short execution times. The experimental analysis performed on both standard low-sized and large problem instances shows that efficient schedules are computed by the proposed method.
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