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Detecting display energy hotspots in Android apps

机译:在Android应用中检测显示能量热点

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The energy consumption of mobile apps has become an important consideration for developers as the underlying mobile devices are constrained by battery capacity. Display represents a significant portion of an app's energy consumptionup to 60% of an app's total energy consumption. However, developers lack techniques to identify the user interfaces in their apps for which energy needs to be improved. This paper presents a technique for detecting display energy hotspotsuser interfaces of a mobile app whose energy consumption is greater than optimal. The technique leverages display power modeling and automated display transformation techniques to detect these hotspots and prioritize them for developers. The evaluation of the technique shows that it can predict display energy consumption to within 14% of the ground truth and accurately rank display energy hotspots. Furthermore, the approach found 398 display energy hotspots in a set of 962 popular Android apps, showing the pervasiveness of this problem. For these detected hotspots, the average power savings that could be realized through better user interface design was 30%. Taken together, these results indicate that the approach represents a potentially impactful technique for helping developers to detect energy related problems and reduce the energy consumption of their mobile apps.
机译:由于底层移动设备受电池容量的限制,移动应用程序的能耗已成为开发人员的重要考虑因素。显示占应用能耗的很大一部分,占应用总能耗的60%。但是,开发人员缺乏识别其应用程序中需要改进能源的用户界面的技术。本文提出了一种用于检测能耗大于最佳能耗的移动应用程序的显示能量热点用户界面的技术。该技术利用显示能力建模和自动显示转换技术来检测这些热点并为开发人员确定优先级。对这项技术的评估表明,它可以预测显示能源消耗在地面真实情况的14%以内,并可以准确地对显示能源热点进行排名。此外,该方法在962个流行的Android应用程序中发现了398个显示能量热点,表明该问题的普遍性。对于这些检测到的热点,通过更好的用户界面设计可以实现的平均节能量为30%。综上所述,这些结果表明该方法代表了一种潜在的有影响力的技术,可帮助开发人员检测与能源相关的问题并减少其移动应用程序的能耗。

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