HybridSGSA: SexualGA and Simulated Annealing based Hybrid Algorithm for Grid Scheduling
نویسندگان
چکیده
Scheduling jobs on computational grids is a compute intensive problem. Existing methods are unable to perform the required breakthrough in terms of time and cost. A Grid scheduler must use the available resources efficiently, while satisfying competing and mutually conflicting goals. The grid workload may consist of multiple jobs, with varying resource requirements and quality-of-service constraints. In this paper A hybrid algorithm based on SexualGA and simulated annealing is proposed, implemented and tested which tries to minimize makespan and cummulative delay in meeting user specified deadline time. Simulation results show that proposed algorithm performs better than other hybrid genetic simulated annealing algorithms proposed earlier. Keywords-Grid Scheduling, Computational Grids, Genetic Algorithms, Simulated Annealing, SexualGA.
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