NetSE: Medium: Collaborative Research: Green Edge Networks

NetSE：媒介：协作研究：绿色边缘网络

• 批准号: 0905580
• 负责人: Mani Srivastava
• 金额: $ 60万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905580&HistoricalAwards=false
• 关键词: NetSE; Medium; Collaborative; Research; Green

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.

该奖项是根据2009年《美国复苏与再投资法》（公法111-5）资助的。该项目着重于了解互联网边缘绿色网络设计的原理和方法。边缘网络的总功耗估计非常重要，因此即使单个设备中能量usage的适度改善也可能导致整体上的非平凡节省。获得边缘网络的能源效率的这些适度改善是具有挑战性的，这有两个原因：边缘网络的多样性及其工作量的动态。智力优点。利用研究人员在低功率电子，链接层技术和能源有效的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）设计一种深层的能源检测架构，涵盖了广泛的边缘设备和网络技术，并将创新的硬件设计用于子系统 - 系统级别的能源，并将其结合在一起。 b）通过此检查体系结构启用了网络各个级别的运行时能量适应； c）检查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进行协调的能源管理，从而可以节省更多积极的能源。广泛的影响。该项目可以具有巨大的社会利益，因为它是针对可持续技术的。此外，它为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，移动设备和消费者设备。除了对技术的影响之外，该项目还将通过培训EE和CS学生的可持续性来为劳动力发展做出贡献。