CSR: EAGER: Network Traffic Aware Smartphone Energy Savings

现代智能手机以耗电太快而臭名昭著，尤其是通过无线上网。尽管在硬件方面已经取得了一些进展，比如更好的电池，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。考虑到智能手机应用程序的普及刺激了这些无线电的使用频率，应用程序的广泛可用性，例如Android Market已有超过50万注册应用程序，表明当今节约智能手机无线电能量的需求非常相关和紧迫。与现有研究不同，这项高风险高回报的研究采用了网络流量感知的方法来节省智能手机无线电能量。主要的智能优点包括：(1)无需应用程序开发人员的帮助即可确定低优先级延迟容忍智能手机应用程序的解决方案。(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)通过系统跟踪低优先级延迟容忍应用的解决方案，以及高优先级实时应用中的延迟容忍流量周期，以优化无线能量效率。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增强。行业智能手机实践也将得到改善。本研究将整合为三门课程，也将有益于女研究生和本科生的研究。还计划开展特别分配工作，以增加从事计算机工作的妇女和女孩人数。

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.