泄漏意识分布式交换机调度峰值温度最小化

Vivek Chaturvedi, Gang Quan
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引用次数: 17

摘要

在本文中,我们将泄漏、温度和电源电压之间的依赖关系纳入理论分析,并探讨了如何采用动态电压缩放(DVS)来降低峰值工作温度的基本特性。我们发现,在一定的时间间隔内,在最小化峰值温度方面,使用最低恒定速度的实时调度不再是最优选择。我们确定了使用两种不同速度的调度可以优于使用恒定速度的调度的场景。此外,我们发现在调度周期性任务集时,匀速调度仍然是温度稳定状态下峰值温度最小的最优调度方法。我们把我们的结论编成若干定理,并加以形式证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leakage conscious DVS scheduling for peak temperature minimization
In this paper, we incorporate the dependencies among the leakage, the temperature and the supply voltage into the theoretical analysis and explore the fundamental characteristics on how to employ dynamic voltage scaling (DVS) to reduce the peak operating temperature. We find that, for a specific interval, a real-time schedule using the lowest constant speed is not necessarily the optimal choice any more in minimizing the peak temperature. We identify the scenarios when a schedule using two different speeds can outperform the one using the constant speed. In addition, we find that the constant speed schedule is still the optimal one to minimize the peak temperature at the temperature stable status when scheduling a periodic task set. We formulate our conclusions into several theorems with formal proofs.
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