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Grid computing is an extensive technology which has the potential to solve large scale scientific problems in an integrated heterogeneous environment. For such an infrastructure, efficient scheduling of jobs and management of resources serve as the key aspects to improve the efficiency and to exploit the capabilities of the emergent computational systems. Because of the dynamic and the distributed nature of grid, the traditional methodologies of scheduling are inefficient for effective utilization of the resources available. In this paper, the authors propose a hybrid job scheduling algorithm to improve the efficiency of the grid environment. The simulation results illustrate that the proposed strategy effectively schedules the grid jobs and reduces the execution time.
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