最大温度最小化的泄漏感知调度

Jinming Yue, Tiefei Zhang, Licheng Yu, Tianzhou Chen
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引用次数: 2

摘要

随着实时系统功耗的急剧增加,热管理已成为一个突出的问题。在考虑泄漏电流的情况下,本文主要研究处理器在执行一组具有共同截止日期的实时任务时的最大温度最小化问题。证明了在一定的区间内,采用最低恒速的恒速调度在最大温度最小化方面优于采用较高恒速调度。通过将区间划分为两个子区间,我们开发了一种降压调度算法,为每个子区间提供独特的处理器速度,以进一步降低最高温度。与最优等速调度相比,该算法最大温度降低了12%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leakage Aware Scheduling for Maximum Temperature Minimization
As power consumption continues to increase dramatically in real-time systems, the thermal management has become a prominent issue. Taking leakage current into account, this paper focuses on the maximum temperature minimization for the processor executing a set of real-time tasks with a common deadline. We prove that, for a specific interval, constant-speed schedule applying the lowest constant speed will be superior to any other schedule using higher constant speed in maximum temperature minimization. By dividing the interval into two subintervals, we develop a step-down scheduling algorithm, providing each subinterval a unique processor speed to further reduce the maximum temperature. Compared with the optimal constant-speed schedule, the proposed algorithm significantly reduces the maximum temperature by up to 12%.
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