Energy-aware Task Scheduling for Near Real-time Periodic Tasks on Heterogeneous Multicore Processors
Energy-aware Task Scheduling for Near Real-time Periodic Tasks on Heterogeneous Multicore Processors
复制标题
异构多核处理器上近实时周期性任务的能量感知任务调度
DOI：
10.1109/vlsi-soc.2017.8203458
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
M. Hayashikoshi
中科院分区：
文献类型：
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作者：
T. Nakada;H. Yanagihashi;H. Nakamura;K. Imai;H. Ueki;T. Tsuchiya;M. Hayashikoshi
在多媒体流应用中流行的近实时周期性任务由于缓冲而具有比输入间隔更长的截止期。对于这样的应用，传统的基于帧的调度，不能实现最优调度，由于其短视的最后期限的假设。为了实现这些应用程序的全局节能执行，我们提出了一种新的任务调度算法，它利用了长的截止期。我们确认我们的方法可以利用更长的截止期限，并将平均功耗降低高达65%。
Near real-time periodic tasks, which are popular in multimedia streaming applications, have deadline periods that are longer than the input intervals thanks to buffering. For such applications, the conventional frame-based scheduling cannot realize optimal scheduling due to their shortsighted deadline assumption. To realize globally energy-efficient executions of these applications, we propose a novel task scheduling algorithm, which takes advantage of the long deadline period. We confirm our approach can take advantage of the longer deadline period and reduce the average power consumption by up to 65%.