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This study focuses on a dynamic environment where data-intensive jobs and computing-intensive jobs are submitted to a grid at the same time. The authors analyse nine heuristic algorithms in a grid and give a comparison of them in a simulation environment. The nine heuristics are: (i) min-min, (ii) max-min, (iii) duplex, (iv) sufferage, (v) minimum execution time (MET), (vi) opportunistic load balancing...
This paper proposes a grid job scheduling algorithm based on Dempster-Shater theory. The value of the expectation trust benefit function is the prediction benefit of a certain job which executes in the grid. This parameter can be used to detect the behaviors of resource providers in grid. Simulation experiments prove that benefit driven algorithm is better than conversional Min-min algorithm in benefit...
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