Energy-aware packet and task co-scheduling for embedded systems

L. Santinelli, Mauro Marinoni, Francesco Prosperi, Francesco Esposito, Gianluca Franchino, G. Buttazzo
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引用次数: 16

Abstract

A crucial objective in battery operated embedded systems is to work under the minimal power consumption that provides a desired level of performance. Dynamic Voltage Scaling (DVS) and Dynamic. Power Management (DPM) are typical techniques used on processors and devices to reduce the power consumption through speed variations and power switching, respectively. The effectivenes of both DVS and DPM needs to be considered in the development of a power management policy for a system that consists of both DVS-enabled and DPM-enabled components. This paper explores how to efficiently reduce the power consumption of real-time applications with constrained resources, like energy, CPU, and transmission bandwidth. A combined DVS-DP approach with a reduced complexity is proposed to make use of online strategies for embedded systems. Simulation results reveal the effectiveness of the proposed approach.
嵌入式系统的能量感知分组和任务协同调度
电池供电嵌入式系统的一个关键目标是在提供理想性能水平的最小功耗下工作。动态电压缩放(DVS)和动态。电源管理(DPM)是用于处理器和设备的典型技术,分别通过速度变化和电源切换来降低功耗。在为支持DVS和DPM的组件组成的系统制定电源管理策略时,需要考虑DVS和DPM的有效性。本文探讨了在能源、CPU和传输带宽等资源受限的情况下,如何有效地降低实时应用的功耗。针对嵌入式系统的在线策略,提出了一种降低复杂度的组合DVS-DP方法。仿真结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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