power:一种新颖的基于用户体验的电源管理度量

Maithili P. Gandhe, L. John, A. Gerstlauer
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引用次数: 0

摘要

随着各种应用程序在移动设备上部署的迅速增加,以及在设备上花费的活动和时间的增加,电池寿命仍然是一个主要的关注来源。与此同时,移动计算的硬件和软件的进步使得多种使用功能集成到一个设备中,使得设备的能耗变得更加关键。可以在不显著降低质量的情况下进行计算中的一些近似,从而节省电力。我们解释了基于用户体验的电源管理(UEPM)的概念,并提出了一种新的简单易用的用户感知质量能源度量,称为POWSER,以构建一个基于UEPM的系统,具有整体目标。POWSER还可以为应用程序提供最佳工作点,对视频等应用程序进行快速动态在线优化。质量-能源的权衡已经在不同的层次上进行过。然而,现有的方法并没有考虑到最终的用户体验。power是一种易于计算和使用的基于质量-能量权衡性质的加权度量。POWSER为软件中的QoS参数建模,这些参数可以向下传播到硬件,从而在整个系统堆栈中实现进一步的节能。POWSER通过在图像应用程序中节省高达34%的电力,为每个应用程序提供了一组最佳的操作点,以保持可接受的用户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
POWSER: A novel user-experience based power management metric
With the rapid increase in deployment of a variety of applications on mobile devices, and an increasing amount of activity and time spent on the devices, battery life continues to be a major source of concern. At the same time, hardware and software advances in mobile computing have enabled multiple usage functions to be integrated into one device, making energy consumption of the device more critical. Some approximations in computing can be made without noticeable degradation in quality to achieve savings in power. We explain the concept of user-experience based power management (UEPM) and propose a novel simple to use user-perceived-quality-energy metric called POWSER to build a UEPM-based system with a holistic objective. POWSER can also provide optimal operating points for the applications to perform fast dynamic online optimizations of applications such as video. Quality-energy tradeoffs have been carried out at various levels before. However, existing approaches do not take the final user-experience into account. POWSER is an easy to compute and easy to use weighted metric based on the nature of quality-energy tradeoffs. POWSER models QoS parameters in software that can be propagated down to hardware to implement further power savings across the system stack. Keeping acceptable user experience, POWSER provides an optimal set of operating points for each application by exploiting power savings of up to 34% in image applications.
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