EA-HRT: An Energy-Aware scheduler for Heterogeneous Real-Time systems
EA-HRT: An Energy-Aware scheduler for Heterogeneous Real-Time systems
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EA-HRT：异构实时系统的能源感知调度程序
DOI：
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发表时间：
2020
期刊：
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通讯作者：
A. Sarkar
中科院分区：
文献类型：
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作者：
S. Moulik;Rishabh Chaudhary;Zinea Das;A. Sarkar
为执行周期性任务的实时异构平台开发高效节能的并行计算器是一个繁重且具有计算挑战性的问题。针对异构多核平台上周期性任务的能量感知调度问题，提出了一种基于DVFS的启发式调度策略EA-HRT。最初，它计算每个任务在每个不同类型的内核上的执行需求。然后，它同时将每个任务分配到可用的内核上，并为相关的内核选择工作频率，使得所有任务的执行需求之和得到满足，并且系统的能耗变化最小。实验结果表明，我们提出的策略不仅能够实现可观的能源节省相对于国家的最先进的（2%至37%的平均），但也使资源利用率显着提高（高达57%）。
Developing energy-efficient schedulers for real-time heterogeneous platforms executing periodic tasks is an onerous as well as a computationally challenging issue. This research presents a heuristic strategy named, EA-HRT, for DVFS based energy-aware scheduling of a set of periodic tasks executing on a heterogeneous multicore platform. Initially it calculates the execution demands of every task on each of the different type of cores. Then, it simultaneously allocates each task on available cores and selects operating frequencies for the concerned cores such that the summation of execution demands of all tasks are met as well as there is minimum change in energy consumption for the system. Experimental results show that our proposed strategy is not only able to achieve appreciable energy savings with respect to state-of-the-art (2% to 37% on average) but also enables significant improvement in resource utilization (as high as 57%).