Energy-aware packet and task co-scheduling for embedded systems
Energy-aware packet and task co-scheduling for embedded systems
复制标题
嵌入式系统的能量感知数据包和任务协同调度
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
G. Buttazzo
中科院分区：
文献类型：
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作者：
L. Santinelli;Mauro Marinoni;Francesco Prosperi;Francesco Esposito;Gianluca Franchino;G. Buttazzo
电池供电的嵌入式系统的一个关键目标是在最低功耗下工作，以提供所需的性能水平。动态电压缩放（DVS）和动态。电源管理（Power Management，简称EMS）是处理器和设备上使用的典型技术，分别通过速度变化和电源切换来降低功耗。对于由启用DVS和启用DPM的组件组成的系统，在制定电源管理策略时需要考虑DVS和DPM的有效性。
本文探讨了如何有效地降低实时应用的功耗与资源的限制，如能源，CPU，和传输带宽。提出了一种结合DVS-DP的方法，降低了复杂性，使嵌入式系统的在线策略的使用。仿真结果表明了该方法的有效性。
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.