移动计算机中协调动态软件管理的能量感知框架

Yunsi Fei, Lin Zhong, N. Jha
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引用次数: 21

摘要

对于资源受限的移动计算机来说,能源效率是一个非常重要且具有挑战性的问题。我们提出了一个动态软件管理(DSM)框架来提高电池利用率,并避免多个应用对有限能源的竞争。我们在用户空间中设计并实现了一个独立于操作系统(OS)的DSM模块,该模块探索服务质量(QoS)适应以减少系统能量,并为多个应用程序采用基于优先级的抢占策略。它还为移动应用程序使用能量宏模型来帮助实现这一目标。通过监测每个QoS级别的能源供应和预测能源需求,DSM模块能够在节能和应用QoS之间选择最佳的折衷方案。据我们所知,这是第一个利用移动应用程序适应的能源意识协调框架。它尊重用户期望的优先级,并且可移植到posix兼容的操作系统。我们对一些移动应用程序(视频播放器、语音识别器、ip语音)的实验结果表明,这种方法可以满足用户指定的面向任务的目标,并显着提高电池利用率。他们还表明,基于能源宏观模型的应用能源需求预测是该框架的关键组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An energy-aware framework for coordinated dynamic software management in mobile computers
Energy efficiency is a very important and challenging issue for resource-constrained mobile computers. We propose a dynamic software management (DSM) framework to improve battery utilization, and avoid competition for limited energy resources from multiple applications. We have designed and implemented a DSM module in user space, independent of the operating system (OS), which explores quality-of-service (QoS) adaptation to reduce system energy and employs a priority-based preemption policy for multiple applications. It also employs energy macromodels for mobile applications to aid in this endeavor. By monitoring the energy supply and predicting energy demand at each QoS level, the DSM module is able to select the best possible trade-off between energy conservation and application QoS. To the best of our knowledge, this is the first energy-aware coordinated framework utilizing adaptation of mobile applications. It honors the priority desired by the user and is portable to POSIX-compliant OSs. Our experimental results for some mobile applications (video player, speech recognizer, voice-over-IP) show that this approach can meet user-specified task-oriented goals and improve battery utilization significantly. They also show that prediction of application energy demand based on energy macro-models is a key component of this framework.
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