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Keep it cool and in time: With runtime monitoring to thermal-aware execution speeds for deadline constrained systems

机译:保持凉爽和及时:通过运行时监控,以热感知的执行速度监控截止日期受限的系统

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The Dynamic Power and Thermal Management (DPTM) system of Dynamic Voltage Frequency Scaling (DVFS) enabled processors compensates peak temperatures by slowing or even powering parts of the system down. While ensuring the integrity of computations, this comes with the drawback of losing performance. In the context of hard real-time systems, such unpredictable losses in performance are unacceptable, as they may lead to deadline misses which may yet compromise the integrity of the system. To safely execute hard real-time workloads on such systems, this article presents an online scheme for assigning speeds in such a way that (a) the system executes at low clock speed as often as possible, while (b) deadline violations are strictly ruled out. The proposed scheme is compared with an offline scheme which has complete knowledge about arrival times and execution demands of the workload. The benchmarking shows that for a workload which is always very close to the modelled maximum, our approach performs on-par with the offline scheme. In case of a workload which diverges from the modelled maximum more often, the speed assignments produced by our scheme become more pessimistic, as to ensure that all deadlines are met.
机译:启用动态电压频率缩放(DVFS)的处理器的动态电源和热管理(DPTM)系统通过减慢系统甚至使部分系统断电来补偿峰值温度。在确保计算完整性的同时,还带来了性能损失的缺点。在硬实时系统的情况下,这种不可预测的性能损失是不可接受的,因为它们可能导致截止期限的丢失,这可能仍会损害系统的完整性。为了在这样的系统上安全地执行硬实时工作负载,本文提出了一种在线分配速度的方案,该方案应使(a)系统尽可能以低时钟速度执行,而(b)严格遵守截止日期出来。将提出的方案与具有完全了解工作时间的到达时间和执行需求的离线方案进行比较。基准测试表明,对于始终非常接近模型最大负载的工作负载,我们的方法与离线方案的性能相当。如果工作负载更频繁地偏离模型最大值,我们的方案所产生的速度分配将变得更加悲观,以确保满足所有期限。

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