UserScope:收集与能源相关的智能手机用户上下文的细粒度框架

Wonwoo Jung, Kwanghwan Kim, H. Cha
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引用次数: 11

摘要

为了延长现代移动设备的电池寿命,应该以个性化的方式制定能源管理政策,充分反映用户的环境或用户的能源行为。实现这种个性化的第一步是准确有效地从设备中收集相关信息。本文提出了一个细粒度和低开销的框架,称为UserScope,它被设计用于收集Android智能手机中与能源相关的用户上下文。我们对与能源相关的智能手机使用情况进行了分类,并设计了一套适当的监测参数来从系统中收集数据。然后将UserScope核心实现为一个内核模块,以事件驱动的方式收集所有必要的信息。这种内核级实现确保了监控的准确性和较低的系统开销。UserScope还提供了一种数据共享机制,系统中的其他软件组件可以轻松地与之交互。我们的实验表明,User Scope以0.8%的CPU开销准确地提取与能源相关的系统信息。UserScope的实用性也通过实际部署和后续收集数据的分析得到验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UserScope: A Fine-Grained Framework for Collecting Energy-Related Smartphone User Contexts
To prolong the battery lifetime of modern mobile devices, the energy management policy should be developed in a personalized way, adequately reflecting user context or the energy behavior of the user. The first step toward this personalization is to collect the relevant information, accurately and efficiently, from the device. This paper presents a fine-grained and low-overhead framework, called UserScope, which is designed to collect energy-related user contexts in Android smartphones. We classified energy-related smart phone usage and designed an appropriate set of monitoring parameters to collect from the system. The UserScope core is then implemented as a kernel module to collect all the necessary information in an event-driven manner. This kernel-level implementation ensures monitoring accuracy and low system overhead. UserScope also provides a data-sharing mechanism with which other software components in the system can easily interface. Our experiments show that User Scope accurately extracts energy related system information with 0.8% CPU overhead. The practicality of UserScope is also validated with real deployment and subsequent analysis of the collected data.
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