CSR: EAGER: Network Traffic Aware Smartphone Energy Savings

现代智能手机因能耗太快而臭名昭著，尤其是通过无线电接入互联网。虽然在硬件方面取得了一定的进步，如更好的电池，但这项研究的重点是改进能源管理软件，以更好地利用现有电池。考虑到这些无线电的使用频率受到智能手机应用程序普及的刺激，应用程序的广泛可用性，例如Android Market拥有超过50万个注册应用程序，表明当今对节省智能手机无线电能量的需求具有高度相关性和紧迫性。与现有研究不同，这项高风险高回报的研究采用网络流量感知的方法来节省智能手机无线电能量。主要的智力价值包括：（1）解决方案，确定低优先级的延迟容忍的智能手机应用程序，而无需应用程序开发人员的帮助。(2)在高优先级实时智能手机应用中确定延迟容忍流量周期的解决方案。(3)通过该系统跟踪低优先级延迟容忍应用和高优先级实时应用中的延迟容忍流量周期的解决方案，以优化无线电能源效率。这项研究将延长智能手机电池寿命，有可能使全球超过10亿智能手机用户受益。智能手机使用的用户体验将得到提升。智能手机行业的实践也将得到改善。本研究将整合于三门课程中，也将有益于女性研究生与本科生的研究。还计划开展特别分配工作，以增加妇女和女孩在计算机领域的人数。

Modern smartphones are notorious for consuming energy far too quickly, especially for access to the Internet through wireless radios.Although certain advances have been made on the hardware side such as better batteries, this research is focused on improving energy management software to make better use of existing batteries.Considering that the frequency of use of these radios is spurred by the popularity of smartphone applications, the wide availability of applications, for instance the Android Market has over 500,000 registered applications, shows that the need to save smartphone radio energy is highly relevant and urgent today.Different from existing research, this high-risk high-reward research takes a network traffic aware approach to save smartphone radio energy. The main intellectual merits include: (1) Solutions for determining low priority delay tolerant smartphone applications without assistant from application developers. (2) Solutions for determining delay tolerant traffic periods within high priority real-time smartphone applications. (3) Solutions for tracking low priority delay tolerant applications, and delay tolerant traffic periods in high priority real-time applications through the system to optimize radio energy efficiency.This research will extend smartphone battery lifetime with the potential to benefit over one billion smartphone users worldwide. User experience of smartphone usage will be enhanced. Industry smartphone practice will also be improved. This research will be integrated into three courses, and also benefit research of female graduate students and undergraduate students. Special distribution efforts are also planned to increase the number of women and girls in computing.