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A novel economic-based scheduling heuristic for computational grids

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In the economic-based computational grids we need effective schedulers not only to minimize the makespan but also to minimize the costs that are spent for the execution of the jobs. in this work, A novel economy driven job scheduling heuristic is proposed and a simulation application is developed by using GridSim toolkit to investigate the performance of the heuristic. the simulation-based experiments demonstrate the effectiveness of the proposed heuristic both in terms of parameter sweep and sequential workflow type of applications.

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Sage Publications Ltd

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Computer science, Computer architecture

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international Journal of High Performance Computing Applications

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10.1177/1094342006074849

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GoalOpen Access
08 - Descent Work and Economic Growth
Economic growth should be a positive force for the whole planet.This is why we must make sure that financial progress creates decent and fulfilling jobs while not harming the environment. We must protect labour rights and once and for all put a stop to modern slavery and child labour. If we promote job creation with expanded access to banking and financial services, we can make sure that everybody gets the benefits of entrepreneurship and innovation.

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