NetSE: Medium: Collaborative Research: Green Edge Networks

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。本项目的重点是了解在互联网边缘设计绿色网络的原则和方法。据估计，边缘网络的总功耗相当大，因此，即使单个设备中能源使用的适度改进也可以带来可观的总体节省。由于边缘网络的多样性和其工作负载的动态性，在边缘网络的能源效率方面获得这些适度的改进是具有挑战性的。知识价值。利用研究人员在低功耗电子、链路层技术和节能网络子系统设计和体系结构方面的综合专业知识，该项目将：a)设计一个深度能源检测体系结构，该体系结构包含广泛的边缘设备和网络技术，并结合用于子系统级能源使用监测和控制的创新硬件设计；B)探索由该检测架构实现的网络各级运行时能量适应；C)研究控制边缘网络能源使用的协调机制，这将允许跨组件和设备的协调能源管理，从而实现更积极的能源节约。广泛的影响。该项目可以具有显著的社会效益，因为它是针对可持续技术的。此外，它为能源效率开发的技术可以广泛应用于计算的其他领域：大型服务器系统、移动设备和消费设备。除了对技术产生影响外，该项目还将通过培训EE和CS学生的可持续性，为劳动力发展做出贡献。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This project focuses on understanding the principles and methods for the design of green networks at the edge of the Internet. The total power consumption of edge networks is estimated to be quite significant, so even moderate improvements in energy-usage in an individual device can result in non-trivial savings overall. Obtaining these moderate improvements in the energy-efficiency of edge networks is challenging for two reasons: the diversity of edge networks and the dynamics in their workload.Intellectual Merit. Leveraging the researchers' combined expertise in low-power electronics, link-layer technologies, and energy-efficient network subsystem design and architecture, the project will: a) devise a deep energy-inspection architecture that encompasses a broad range of edge devices and networking technologies, and incorporates innovative hardware designs for subsystem-level monitoring and control of energy usage; b) explore run-time energy adaptation at various levels of the network, enabled by this inspection architecture; c) examine coordination mechanisms for controlling edge network energy usage which will allow coordinated energy management across components and devices, enabling more aggressive energy savings.Broad Impacts. The project can have significant societal benefit, targeted as it is on sustainable technologies. Moreover, the techniques it develops for energy efficiency can be broadly applied to other areas of computing: large server systems, mobile devices, and consumer appliances. Beyond its impact on technology, the project will also contribute to workforce development by training EE and CS students in sustainability.