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Green Mining: Investigating Power Consumption across Versions

机译:绿色矿业:调查版本的功耗

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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.
机译:功耗越来越受到电气工程师的关注,而是对于软件工程师也是由于新的电力有限背景下的普及,例如移动式计算,智能手机和云计算等普及。软件更改可以更改软件功耗行为,并可能导致功率性能回归。通过跟踪软件功耗,我们可以构建模型以提供建议以避免电力回归。软件功耗有很多研究,但很少专注于软件变化与功耗之间的关系。大多数工作衡量单个软件任务的功耗;相反,我们寻求在项目的历史记录(修订)中扩展这项工作。我们为熟悉的产品开发了一组测试,然后在录制这些测试的电源使用时,在产品的所有版本中运行这些测试。我们提供并展示一种方法,可以分析500多个夜间Firefox 3.6的功耗性能;我们表明软件更改确实会引起功耗的变化。这种方法和案例研究是致力于电力测量和挖掘软件存储库研究的第一步,从而使开发人员能够通过功耗意识避免电力回归。

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