Thermal Aware Task Scheduling for Enhanced Cyber-Physical Systems Sustainability
Thermal Aware Task Scheduling for Enhanced Cyber-Physical Systems Sustainability
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DOI：
10.1109/tsusc.2019.2958298
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发表时间：
2020-10
影响因子：
3.9
通讯作者：
Shikang Xu;I. Koren;C. M. Krishna
中科院分区：
文献类型：
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作者：
Shikang Xu;I. Koren;C. M. Krishna
信息物理系统 (CPS) 越来越多地应用于各种交通、医疗保健、电网和其他应用。热应力通常是此类系统中嵌入的处理器的主要关注点。高工作温度会大大缩短处理器的寿命。反过来，这可能需要配置大量额外的计算硬件来承受更频繁的故障，这对可持续性有着明显的影响。本文介绍了一种通过针对高活动任务阶段的动态电压和频率调节 (DVFS) 来减少 CPS 处理器中热引起的损坏的新方法。也就是说，通过优先减慢高活动任务阶段的速度，对于给定的计算减慢量，可以显着节省能源和热应力；该方法被证明优于使用 DVFS 的传统方法，而不考虑活动水平。此外，我们提出的跨核心任务重新分配是由对当前核心可靠性的估计驱动的，这优于简单使用当前温度或温度历史记录的常用方法。与基线 DVFS 技术相比，我们的方法可显着提高可靠性（约 20%）。
Cyber-Physical Systems (CPS) are increasingly used in a variety of transportation, healthcare, electricity grid, and other applications. Thermal stress is often a major concern for processors embedded in such systems. High operating temperatures can dramatically shorten processor life. This, in turn, can require provisioning of significant amounts of additional computational hardware to withstand more frequent failures, with obvious implications for sustainability. This paper describes a novel approach to reduce thermally-induced damage in CPS processors by targeting Dynamic Voltage and Frequency Scaling (DVFS) to high-activity task phases. That is, by preferentially slowing down high-activity task phases, significant additional savings in energy and thermal stress can be attained for a given amount of computational slowdown; this approach is shown to be superior to conventional methods that use DVFS without regard to activity levels. Also, our proposed task reassignment across cores is driven by estimates of current core reliability, which is superior to the usual approach of simply using either current temperature or temperature history. Our approach leads to a significant reliability improvement (around 20 percent) over baseline DVFS techniques.