绿色挖掘:调查不同版本的功耗

Abram Hindle
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引用次数: 35

摘要

由于诸如移动计算、智能手机和云计算等新型限电环境的日益普及,功耗越来越成为电气工程师和软件工程师关注的问题。软件更改可以改变软件功耗行为,并可能导致电源性能退化。通过跟踪软件功耗,我们可以建立模型来提供建议,以避免功率回归。对软件功耗的研究较多,但对软件变更与功耗之间关系的研究较少。大多数工作测量单个软件任务的功耗;相反,我们寻求在项目的历史(修订)中扩展这项工作。我们为一个完善的产品开发一组测试,然后在产品的所有版本上运行这些测试,同时记录这些测试的功耗。我们提供并演示了一种方法,可以分析超过500个夜间构建的Firefox 3.6的功耗性能;我们表明,软件变更确实会引起功耗的变化。这种方法和案例研究是将功耗测量和挖掘软件存储库研究相结合的第一步,从而使开发人员能够通过功耗意识来避免功耗回归。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green mining: Investigating power consumption across versions
Power consumption is increasingly becoming a concern for not only electrical engineers, but for software engineers as well, due to the increasing popularity of new power-limited contexts such as mobile-computing, smart-phones and cloud-computing. Software changes can alter software power consumption behaviour and can cause power performance regressions. By tracking software power consumption we can build models to provide suggestions to avoid power regressions. There is much research on software power consumption, but little focus on the relationship between software changes and power consumption. Most work measures the power consumption of a single software task; instead we seek to extend this work across the history (revisions) of a project. We develop a set of tests for a well established product and then run those tests across all versions of the product while recording the power usage of these tests. We provide and demonstrate a methodology that enables the analysis of power consumption performance for over 500 nightly builds of Firefox 3.6; we show that software change does induce changes in power consumption. This methodology and case study are a first step towards combining power measurement and mining software repositories research, thus enabling developers to avoid power regressions via power consumption awareness.
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