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Improved Grid Scheduling Using Hybrid Heuristic Algorithms with Enhanced Initial Solutions
2016
Research Journal of Applied Sciences Engineering and Technology
In this study, we have proposed a novel perspective for grid scheduling which aims at decreasing the makespan of the submitted jobs and increasing the utilization of resources involved. Grid scheduling is mapping jobs to grid resources at specific time intervals. Efficient scheduling is crucial to achieve excellent performance through grid computation. Meta-heuristics techniques are used, as grid scheduling is an NP-complete problem. Literature proposes genetic algorithm based heuristics and
doi:10.19026/rjaset.13.2887
fatcat:gmk5mfibb5cynn2wlqygxjslce