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: 1551909
• 负责人: Aruna Balasubramanian
• 金额: $ 7万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2016-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1551909&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.

电池电量是手机上的稀缺资源，也是限制丰富的新型移动的应用部署的主要因素之一。目前还没有针对该电源管理问题的全面解决方案，并且现有的解决方案狭隘地集中于特定应用或特定设备组件。在这项研究中，我们将开发一个名为PowerMedic的系统，该系统可以跨应用程序做出设备范围的能源决策。该方法是将电源管理作为基本原语来实现。就像其他网络原语（如发送和接收）一样，应用程序只需要指定它们的需求;它们不再需要执行低级别的能量优化。PowerMedic考虑了网络、CPU、屏幕和传感器等设备组件之间的交互，以优化功耗，同时满足应用需求。运行时节能决策是动态的，并由用户的应用程序模式、移动性、网络连接和其他环境因素驱动。出于评价目的，预计将进行用户研究，以收集移动的使用数据。这些数据可用于构建用户行为的预测模型，例如充电模式，以进一步改进系统。这项研究与广泛的人群相关，因为预计到2013年全球将有10亿部智能手机。PowerMedic将在手机上实现广泛的关键应用，从医疗保健应用到为残疾人提供辅助技术。今天，由于电源瓶颈，这些应用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使研究社区受益。