混合能量临界系统的实时嵌入式平台

Jun Wu, Jialin Wang
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摘要

本文提出了一种创新的混合能量临界系统(MECS),该系统可以在具有不同能效要求的电池供电或能量收集嵌入式系统上执行一组周期性实时任务。我们假设一个任务有多个版本对应于不同的能量临界级别,其中较高级别的版本比较低级别的版本计算量少。最初,MECS从最低的能量临界水平开始,当没有足够的能量可用时,它会切换到更高的水平。请注意,它还将任务的版本更改为更高级别的相应版本,以便执行的计算量更少,生命周期可以延长。我们还提出了一个实时嵌入式平台,并在其上实现了一个现实生活中的MECS应用示例,以演示性能和能效,我们取得了一些令人鼓舞的结果。
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A Real-Time Embedded Platform for Mixed Energy-Criticality Systems
In this paper, an innovative mixed energy-criticality system (MECS) is proposed for which a set of periodic real-time tasks can be executed on a battery-powered or an energy-harvesting embedded system with different energy-efficient requirements. We assume that a task has multiple versions corresponding to different energy-criticality levels, where a version for a higher level has less computation than that for a lower level. Initially, an MECS starts with the lowest energy-criticality level, and it switches to a higher level whenever there is no sufficient energy available. Note that it also changes the version of tasks to their corresponding versions for the higher level so that the less amount of computation is executed and the lifetime can be prolonged. We also present a real-time embedded platform and an example real-life MECS application is implemented on it to demonstrate the performance and the energy efficiency, for which we have some encouraging results.
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