通过字节码分析估计Android应用程序的CPU能耗

Shuai Hao, Ding Li, William G. J. Halfond, R. Govindan
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引用次数: 100

摘要

优化移动应用的能效可以大大提高用户满意度。然而,开发人员缺乏易于应用的工具来估计其应用程序的能耗。本文提出了一种新的方法,eCalc,它在开发人员的需求方面是轻量级的,并提供了代码级的能耗估计。该方法采用基于移动应用程序分析的估计技术来实现这一目标。在评估中,eCalc能够在一组移动应用程序的地面真实值的9.5%内估计能源消耗。此外,eCalc为开发人员提供有用且有意义的反馈,帮助描述应用程序的能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Android applications' CPU energy usage via bytecode profiling
Optimizing the energy efficiency of mobile applications can greatly increase user satisfaction. However, developers lack easily applied tools for estimating the energy consumption of their applications. This paper proposes a new approach, eCalc, that is lightweight in terms of its developer requirements and provides code-level estimates of energy consumption. The approach achieves this using estimation techniques based on program analysis of the mobile application. In evaluation, eCalc is able to estimate energy consumption within 9.5% of the ground truth for a set of mobile applications. Additionally, eCalc provides useful and meaningful feedback to the developer that helps to characterize energy consumption of the application.
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