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Complex applications are describing using work-flows. Execution of these workflows in Grid environments require optimized assignment of tasks on available resources according with different constrains. This paper presents a decentralized scheduling algorithm based on genetic algorithms for the problem of DAG scheduling. The genetic algorithm presents a powerful method for optimization and could consider...
This paper presents a solution to analyze the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Grid systems is important due to the latest computing necessities: large scale distributed computing and complex applications for different research areas. We propose a solution to evaluate DAG scheduling algorithms using simulation,...
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