CSR: Small: Towards Energy-efficient Internet Mobile Streaming

如今，越来越多的人随时随地通过移动设备享受流媒体服务。然而，在移动设备上接收流媒体服务从根本上受到移动设备上有限的电池供电的限制。在流媒体会话中，通过无线网卡接收流媒体数据、利用CPU对接收到的数据进行解码、并将解码后的数据显示在屏幕上，会持续消耗大量的电池电量。尽管人们在节省电池功耗方面做出了巨大的努力，但由于设备硬件、操作系统和应用算法等的异构性，现有的流媒体实践带来了许多新的复杂性。这些复杂性导致能源效率下降。该项目旨在研究新方案，以促进从数据接收到图像显示的不同阶段的节能互联网移动流媒体服务。该项目通过主要研究移动设备上的数据传输时间表、研究编解码器感知的动态电压和频率缩放以及为流媒体会话中的移动设备设计动态内容自适应显示方案来解决这些挑战。新设计的方案可以直接帮助移动设备显着提高流媒体服务的能源效率。它们在节省其他耗电移动应用中的电池功耗方面也具有巨大潜力。研究成果将融入课程开发，参与的本科生和研究生将获得计算机系统研究经验，成为下一代计算机科学家和工程师。

Today more people are enjoying streaming services on their mobile devices from anywhere at anytime. However, receiving streaming services on mobile devices is fundamentally constrained by the limited battery power supply on a mobile device. In a streaming session, a large amount of battery power is consumed continuously for receiving the streaming data via the wireless network card, decoding the received data with the CPU, and displaying the decoded data on the screen. Although significant efforts have been made to save the battery power consumption, the existing streaming practice brings many new complexities due to the heterogeneity of device hardware, operating systems, and application algorithms, etc. These complexities lead to degraded energy efficiency. This project aims to investigate new schemes to facilitate energy-efficient Internet mobile streaming services at different phases, ranging from the data receiving to the image displaying. The project addresses the challenges by mainly looking into the data transmission schedule on mobile devices, studying codec-aware dynamic voltage and frequency scaling, and devising dynamic content-adaptive displaying schemes for mobile devices in streaming sessions. The newly designed schemes can directly help mobile devices significantly improve the energy efficiency in streaming services. They also have great potentials to save battery power consumption in other power-hungry mobile applications. The research outcomes will be integrated into curriculum development and the participating undergraduate and graduate students will be trained with computer system research experience as the next generation computer scientists and engineers.