A Task Selection Based Power-aware Scheduling Algorithm for Applying DVS

Yuichiro Mori, K. Asakura, Toyohide Watanabe
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引用次数: 6

Abstract

Recently, power consumption of server computers is one of the most important topics. Although DVS (Dynamic Voltage Scaling) can reduce power consumption, this method is only used at idle time or low load computation time, generally. In this paper, we propose a task scheduling algorithm for reducing power consumption especially at high load computation time. DVS is applied to tasks that are not in critical path, which can reduce more power consumption by introducing a task selection mechanism without increasing the makespan of task graphs. Experimental results show that our algorithm can reduce about 9.1\% and 12.8\% of power consumption on 4 and 8 processors respectively on average in comparison with the existing method.
一种基于任务选择的分布式交换机调度算法
近年来,服务器计算机的功耗问题成为人们关注的热点之一。虽然动态电压缩放(DVS)可以降低功耗,但通常只在空闲时间或低负载计算时间使用。在本文中,我们提出了一种任务调度算法,以降低功耗,特别是在高负载计算时间。分布式交换机适用于不在关键路径上的任务,通过引入任务选择机制,可以在不增加任务图的makespan的情况下降低功耗。实验结果表明,与现有算法相比,该算法在4个处理器和8个处理器上的平均功耗分别降低了9.1%和12.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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