NEAT:为自由漫游的智能手机提供的新型能量分析工具包

N. Brouwers, Marco Zúñiga, K. Langendoen
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引用次数: 38

摘要

由于软、硬件之间复杂的相互作用,分析智能手机的功耗是很困难的。目前,研究人员主要依靠两种选择:外部测量工具,这是精确的,但限制了设备的移动性,需要标注电源走线;或者建模方法,它允许移动性并显式地考虑事件的状态,但与外部工具相比,准确性和采样率较低。我们通过一种名为NEAT的新型功率计量工具包来解决移动功率分析的挑战,该工具包包括一个硬币大小的功率测量板,可以安装在典型的智能手机中,以及自动将从手机中获取的事件日志与获得的功率轨迹融合的分析软件。高保真功率测量和手机硬件和软件组件状态的详细信息相结合,可以对复杂和短暂的能量模式进行细粒度分析。我们为智能手机配备了NEAT,并进行了各种实验,以突出(i)其相对于基于模型的方法的准确性,显示误差超过20%;(ii)能够“在野外”收集准确和有充分注释的用户数据,这是目前的外部仪表难以做到的;以及(iii)通过解决内核能量错误具有细粒度和表达痕迹的重要性。
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NEAT: a novel energy analysis toolkit for free-roaming smartphones
Analyzing the power consumption of smartphones is difficult because of the complex interplay between soft- and hardware. Currently, researchers rely on mainly two options: external measurement tools, which are precise but constrain the mobility of the device and require the annotation of power traces; or modelling methods, which allow mobility and consider explicitly the state of events, but have less accuracy and lower sampling rates than external tools. We address the challenges of mobile power analysis with a novel power metering toolkit, called NEAT, which comprises a coin-sized power measurement board that fits inside a typical smartphone, and analysis software that automatically fuses the event logs taken from the phone with the obtained power trace. The combination of high-fidelity power measurements and detailed information about the state of the phone's hardware and software components allows for fine-grained analysis of complex and short-lived energy patterns. We equipped smartphones with NEAT and conducted various experiments to highlight (i) its accuracy with respect to model-based approaches, showing errors upwards of 20%; (ii) its ability to gather accurate and well annotated user-data "in the wild", which would be hard to do with current external meters; and (iii) the importance of having fine-granular and expressive traces by resolving kernel energy bugs.
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