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On parallel and distributed heterogeneous computing systems, a heuristic-based task scheduling algorithm typically consists of two phases: task prioritization and processor selection. In a heuristic based task scheduling algorithm, different prioritization will produce different makespan on a heterogeneous computing system. Therefore, a good scheduling algorithm should be able to efficiently assign...
On the distributed or parallel heterogeneous computing systems, an application is usually decomposed into several independent and/or interdependent sets of cooperating subtasks and assigned to a set of available processors for execution. Heuristic-based task scheduling algorithms consist of the two typical phases of task prioritization and processor selection. However, heuristic-based task scheduling...
Research in task scheduling algorithm is a challenging problem for high-performance computing; especially achieving a better makespan is a key issue in design and development of heterogeneous algorithm. In this paper, we investigate an existing scheduling algorithm and consider the problem of minimizing its makespan. We have formulated our problem as a nonlinear programming model, and then used the...
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