Gargi Dasgupta, K. Dasgupta, A. Purohit, B. Viswanathan
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引用次数: 12
Abstract
In this paper, it describes the QoS-GRAF, a framework for providing revenue maximization in a utility computing grid where jobs have multiple resource dependencies and differentiated QoS pricing. To solve the revenue maximization problem the linear relaxation based algorithms, MRPA and MLBA, that achieve performance within 1-5% of the optimal solution and significantly outperform alternative approaches are used. Both show better revenue earnings across small, medium and large jobs, with efficient resource utilization. As a part ongoing work, the backup algorithms for multiple failures is developed. Scheduling algorithms are incorporated to produce maximum profitable schedule considering job deadlines