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On the energy optimization for precedence constrained applications using local search algorithms

机译:关于使用本地搜索算法的优先级约束应用的能量优化

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We investigate the problem of scheduling precedence constrained applications on a distributed heterogeneous computing system with the aim of minimizing schedule length and reducing energy consumption. We present a scheduling algorithm based on the best-effort idea that promotes local search algorithms and dynamic voltage scaling to reduce energy consumption. The final goal is to maintain a given performance while minimizing energy use. The proposed approach first uses a list-based scheduling algorithm to find near-optimal solutions for schedule length, then local search algorithms with dynamic voltage scaling are applied to reduce energy consumption. However the algorithm it's not allowed to deteriorate the schedule length computed by the best-effort algorithm. We discuss simulation results obtained with sets of real-world applications that emphasize the interest of the approach.
机译:我们研究了在分布式异构计算系统上调度优先限制应用的问题,目的是最小化调度长度并降低能量消耗。我们介绍了一种基于最佳努力思想的调度算法,促进本地搜索算法和动态电压缩放以降低能量消耗。最终目标是在最小化能量使用的同时保持给定的性能。所提出的方法首先使用基于列表的调度算法来查找用于调度长度的近最优解,然后应用具有动态电压缩放的本地搜索算法来降低能量消耗。然而,算法不允许恶化通过最佳算法计算的调度长度。我们讨论了通过强调方法的兴趣的现实世界应用程序获得的模拟结果。

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