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A Dynamic Power Management Algorithm For Sporadic Tasks In Real-Time Embedded Systems

机译:实时嵌入式系统中零星任务动态电力管理算法

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摘要

Dynamic voltage Scaling (DVS) has been widely studied as an innovative technology in reducing the real-time embedded devices. An efficient performance of DVS algorithm largely depends on how to acquire more slack times to scale voltage down. In this paper, we present a more effective power management algorithm to reclaim online slack time from both higher-priority and lower-priority tasks. Based on the improvement of method, we propose a novel dynamic energy-saving scheduling algorithm for sporadic tasks in real-time embedded systems (DESSAST-RTES) based on EDF. We also introduce the critical speed which was proposed in previous Studies, and the dynamic power management technology to acquire better energy-saving performance. Considering the difference between the real execution time and the worst-case execution time, DESSAST-RTES can scale processor frequencies dynamically with the real execution time, while guaranteeing all task would not miss their deadlines. The experimental results show that the DESSAST-RTES algorithm can reduce more energy consumption than existing DVS algorithms for sporadic tasks.
机译:动态电压缩放(DVS)已被广泛研究作为减少实时嵌入式设备的创新技术。 DVS算法的有效性能很大程度上取决于如何获取更加松弛的时间来缩放压缩电压。在本文中,我们提出了一种更有效的电源管理算法,可以从较高优先级和较低优先级任务中回收在线松弛时间。基于方法的改进,我们提出了一种基于EDF的实时嵌入式系统(Dessast-RTES)中的零星任务的新颖动态节能调度算法。我们还介绍了先前研究中提出的临界速度,以及动态电源管理技术以获得更好的节能性能。考虑到实际执行时间和最坏情况执行时间之间的差异,Dessast-rtes可以使用真实执行时间动态缩放处理器频率,同时保证所有任务不会错过他们的截止日期。实验结果表明,Dessast-RTES算法可以减少比零星任务的现有DVS算法更多的能耗。

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