Detecting Display Energy Hotspots in Android Apps

Mian Wan, Yuchen Jin, Ding Li, Jiaping Gui, Sonal Mahajan, William G. J. Halfond
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引用次数: 71

Abstract

Energy consumption of mobile apps has become an important consideration as the underlying devices are constrained by battery capacity. Display represents a significant portion of an app's energy consumption. However, developers lack techniques to identify the user interfaces in their apps for which energy needs to be improved. In this paper, we present a technique for detecting display energy hotspots - user interfaces of a mobile app whose energy consumption is greater than optimal. Our technique leverages display power modeling and automated display transformation techniques to detect these hotspots and prioritize them for developers. In an evaluation on a set of popular Android apps, our technique was very accurate in both predicting energy consumption and ranking the display energy hotspots. Our approach was also able to detect display energy hotspots in 398 Android market apps, showing its effectiveness and the pervasiveness of the problem. These results indicate that our approach represents a potentially useful technique for helping developers to detect energy related problems and reduce the energy consumption of their mobile apps.
检测Android应用中的显示能量热点
由于底层设备受到电池容量的限制,移动应用的能耗已经成为一个重要的考虑因素。显示在应用程序的能耗中占很大一部分。然而,开发人员缺乏技术来识别他们应用程序中需要改进能源的用户界面。在本文中,我们提出了一种检测显示能量热点的技术-移动应用程序的用户界面,其能耗大于最佳值。我们的技术利用显示功率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。在对一组流行的Android应用程序的评估中,我们的技术在预测能耗和对显示能耗热点进行排序方面都非常准确。我们的方法还能够检测出398个Android市场应用中的显示能量热点,显示出它的有效性和问题的普遍性。这些结果表明,我们的方法代表了一种潜在的有用技术,可以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源消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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