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，因此即使单个设备的能耗略有改善，也会带来不小的总体节省。边缘网络的能源效率要获得适度的改善是一个挑战，原因有两个：边缘网络的多样性和其工作负载的动态性。智力优势。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架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架构，涵盖广泛的边缘设备和网络技术，并结合创新的硬件设计，用于子系统级的能源使用监测和控制; B）探索由该检查架构实现的网络的各个级别处的运行时能量适配; c）检查用于控制边缘网络能量使用的协调机制，这将允许跨组件和设备的协调能量管理，从而实现更积极的能量节省。广泛的影响。该项目可以产生重大的社会效益，因为它的目标是可持续技术。此外，它为提高能源效率而开发的技术可以广泛应用于其他计算领域：大型服务器系统、移动的设备和消费电器。除了对技术的影响，该项目还将通过培训EE和CS学生的可持续性来促进劳动力发展。

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.