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In this paper, the authors present a balanced scheduling algorithm with considering the fault tolerance and task migration of allocating independent tasks in grid systems. Resource scheduling and its management are great challenges in heterogeneous environment. Hence load balancing is one of the best solutions to achieve the above purposes. The scheduling algorithm which they will present in follow, with taking the fault tolerance, check-pointing method, task migration and priority for mapping independent tasks on heterogeneous computing environment, creates the specific situation to ensure high performance in grid systems. So by implementing these parameters they can achieve more efficient and dependable performance than similar previous algorithms. It will be done with better condition and achieve high performance in computational grids in compare with Min-min algorithm.
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