NeTS: Small: Mobile Power Management as a Network Primitive

NetS：小型：作为网络原语的移动电源管理

• 批准号: 1217644
• 负责人: Aruna Balasubramanian
• 金额: $ 49.92万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1217644&HistoricalAwards=false
• 关键词: NeTS; Small; Mobile; Power; Management

Battery power is a scarce resource on phones and is one of the main factors that limit the deployment of rich new kinds of mobile applications. There is presently no comprehensive solution to this power management problem, and existing solutions are narrowly focused on specific applications or specific device components. In this research, we will develop a system called PowerMedic that makes device-wide energy decisions across applications. The approach is to implement power management as a fundamental primitive. Much like other network primitives such as send and receive, applications need only specify their requirements; they no longer need to perform low-level energy optimizations. PowerMedic takes into account the interactions between device components such as network, CPU, screen, and sensors, to optimize power consumption, while satisfying the application requirements. The runtime decisions to save power are dynamic and driven by the user's application patterns, mobility, network connectivity, and other environmental factors. For evaluation purposes, it is expected that a user study will be conducted to gather mobile usage data. The data can be used to build predictive models of user behavior, such as charging patterns, to further improve the system.This research is relevant to a broad segment of the population, as it is projected that there will be 1 billion smartphones worldwide by 2013. PowerMedic will enable a wide range of critical applications on phones, ranging from healthcare applications to providing assistive technology for the disabled. Today, these applications have limited success on phones because of the power bottleneck. This research will also benefit the research community through the release of the PowerMedic software and the user study data.

电池电量是手机上稀缺的资源，是限制新型移动应用程序部署的主要因素之一。目前，该电源管理问题没有全面的解决方案，现有的解决方案狭义地集中在特定的应用程序或特定的设备组件上。在这项研究中，我们将开发一个称为PowerMedic的系统，该系统在跨应用程序之间做出整个设备的能源决策。该方法是将电力管理实施为基本原始。与其他网络原始图（例如发送和接收）一样，应用程序只需要指定其要求；他们不再需要执行低级能量优化。 PowerMedic考虑了设备组件（例如网络，CPU，屏幕和传感器）之间的交互，以优化功耗，同时满足应用程序要求。节省功率的运行时决策是动态的，并且由用户的应用程序模式，移动性，网络连接性和其他环境因素驱动。出于评估目的，预计将进行用户研究以收集移动使用数据。该数据可用于建立用户行为的预测模型，例如充电模式，以进一步改善系统。这项研究与广泛的人群有关，因为预计到2013年，全球将在全球范围内有10亿个智能手机。PowerMedic Will Will启用了来自医疗保健应用程序的大量关键应用程序，从医疗保健应用到提供的助理技术，以实现无限制的辅助技术。如今，由于功率瓶颈，这些应用程序在手机上的成功有限。这项研究还将通过发布PowerMedic软件和用户研究数据来使研究社区受益。