应用级电池耗散预测

C. Krintz, Ye Wen, R. Wolski
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引用次数: 55

摘要

移动、电池供电的设备,如个人数字助理和能上网的移动电话,已经成功地成为世界数字基础设施的新接入点。然而,设备性能和电池技术之间的差距越来越大,需要新的技术来延长电池寿命。这些技术成功的关键在于我们能够准确地预测程序的功耗。在本文中,我们研究了应用级软件工具可以测量由程序执行引起的电池耗散的程度,并通过编译器和运行时系统进行预测。我们提出了一种新技术,可以通过组合基准电池耗散率来准确估计任意程序的全程序功耗。我们使用iPAQ手持设备和一些MiBench和其他程序对我们的技术进行了经验评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application-level prediction of battery dissipation
Mobile, battery-powered devices such as personal digital assistants and web-enabled mobile phones have successfully emerged as new access points to the world's digital infrastructure. However, the growing gap between device capabilities and battery technology requires novel techniques that extend battery life. Key to the success of such techniques, is our ability to accurately predict the power consumption of a program. In this paper we investigate the degree to which battery dissipation induced by program execution can be measured by application-level software tools and predicted by a compiler and runtime system. We present a novel technique with which we can accurately estimate whole-program power-consumption for an arbitrary program by composing battery dissipation rates of benchmarks. We empirically evaluate our technique using an iPAQ hand-held device and a number of MiBench and other programs.
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