Collaborative Research: NeTS-NBD: Increasing the Energy Efficiency of the Internet with a Focus on Edge Devices

合作研究：NeTS-NBD：以边缘设备为重点提高互联网的能源效率

• 批准号: 0519951
• 负责人: Alan George
• 金额: $ 20万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0519951&HistoricalAwards=false
• 关键词: Collaborative; Research; NeTS; NBD; Increasing

This proposal addresses the increasingly critical need to improve the energy efficiency of the Internet by focusing on the primary and often neglected energy consumer, edge devices. Studies by Lawrence Berkeley National Laboratory (LBNL) show that about 74 TWh/yr of electricity (which is approximately $6 billion per year) is consumed by the Internet in the USA alone, of which 24 TWh/yr or 32% could be saved with full use of power management on desktop computers, currently the most common of edge devices on the Internet. Unfortunately, due to limits of existing protocols and architectures, networked desktop computers typically remain powered-up during frequent and often lengthy periods of idleness. As network devices, they are prevented from operating in an energy-efficient manner due to their need to respond to network transactions of various types without warning. The NSF is currently funding projects to investigate energy-use reduction in first-level LAN switches, server clusters, and supercomputers, but severely lacking is research to reduce energy consumption of the largest portion of Internet energy consumers, the edge devices.The principal investigators'(PIs) approach to addressing this challenge is to investigate and exploit a synergistic set of novel research concepts for protocol and subsystem infrastructure, and algorithms for effectively controlling them based on traffic and system constraints, so that desktop and other edge devices can be put to sleep during periods of relative idleness while network connectivity is maintained by a low-power hardware proxy integrated into the system. Moreover, the PIs' approach also promises to provide additional increases in energy efficiency by reducing consumption of network-related resources during active periods where graceful degradation of performance is acceptable, in effect trading off speed for energy. In addition to desktop computers, this approach will lead to similar solutions for a wide variety of emerging wired and wireless edge devices such as television set-top boxes, network appliances, remote cameras, etc.The novel concepts in the proposed approach include: (1) protocol proxying in the network interface of a desktop computer and/or within a first-level LAN switch to reduce minor use of system resources of the edge device and thus allow system power management to be fully exploited; (2) "smart" wake-up methods to allow power-managed devices to be awoken transparently and only when needed by existing applications and protocols, along with new power-management notification semantics for future network applications; (3) adaptive link rate in Ethernet to trade-off performance (or QoS) for energy efficiency by dynamically operating links at varying data rates (e.g., 1 or 10 Gb/s only when needed, and otherwise at 10 or 100 Mb/s); and (4) architectures for fixed or reconfigurable levels of staged hardware functionality to realize energy-efficient operation via adaptive spatial or temporal assignment of hardware resources to network transactions with power, performance, and functionality scaling.The proposed methodology to achieve these energy savings is measurement, modeling, and prototyping of new software and hardware. The PIs will build and evaluate a prototype of an advanced Ethernet interface for edge devices based on adaptive levels of functionality including proxying, smart wake-up, adaptive link rate, and reconfiguration. They will prototype software applications that use new semantics for power management notification across a network. They will disseminate the research outcomes to standards groups, government agencies, and/or industry. The PIs will design and evaluate a fast autonegotiation mechanism for adaptive link rate suitable for consideration by the IEEE 802.3. They also expect to play a key role in influencing future EPA Energy Star specifications for desktop computers and other edge devices (such as, potentially, television set-top boxes). This project will be conducted in a collaborative partnership between the University of South Florida and the University of Florida. Four graduate students will be supported of which one may be targeted to be from an underrepresented population group.Intellectual merit: The work proposed is intellectually meritorious in that it is the first significant effort to achieve energy savings for the global Internet in terms of its dominant factor, the network-connected edge devices. This research will define the importance of energy efficiency of network edge devices as an economic and environmental issue and result in the integrated design of power management and network applications, protocols, and architectures. Broader impact: The broader impact of this work is threefold. First is the impact upon society within a few years of completion of this project, enabling significant reductions in energy costs here in the USA and abroad, and supporting the expansion of the Internet into the developing world by reducing operating costs. Savings in the hundreds of millions to billions of dollars per year in the USA will be achieved if existing power management capabilities can be enabled in network edge devices based on the new ideas in this proposal. The PIs have existing relationships to allow them to work closely with LBNL, EPA, and industry to disseminate research outcomes and achieve the expected energy savings. The second broader impact is on the educational process, both in terms of the graduate students directly involved in this project as well as the many university students that will benefit from the materials that will be created and shared from this research. Finally, through the NSF REU and RET programs, outreach will be made to K-12 and underrepresented populations.

该提案通过关注主要且经常被忽视的能源消费者，即边缘设备，来满足日益迫切的提高互联网能源效率的需求。 劳伦斯伯克利国家实验室（LBNL）的研究表明，仅在美国，互联网每年消耗约74 TWh的电力（每年约60亿美元），其中24 TWh/年或32%可以通过充分利用台式计算机的电源管理来节省，台式计算机目前是互联网上最常见的边缘设备。 不幸的是，由于现有协议和体系结构的限制，联网的台式计算机通常在频繁且通常较长的空闲时段期间保持通电。 作为网络设备，由于它们需要在没有警告的情况下响应各种类型的网络事务，因此它们不能以节能方式操作。 美国国家科学基金会（NSF）目前正在资助研究一级局域网交换机、服务器集群和超级计算机的能耗降低项目，但严重缺乏降低互联网能源消费者中最大一部分--边缘设备能耗的研究。解决这一挑战的主要研究者（PI）方法是研究和利用一组协同的新研究概念，用于协议和子系统基础设施，以及用于基于流量和系统约束来有效地控制它们的算法，使得桌面和其他边缘设备可以在相对空闲的时段期间进入睡眠，同时通过集成到系统中的低功率硬件代理来维持网络连接。 此外，PI的方法还承诺通过在可接受的性能适度降级的活动时段期间减少网络相关资源的消耗来提供能量效率的额外增加，实际上以速度换取能量。 除了台式计算机之外，这种方法还将为各种新兴的有线和无线边缘设备（如电视机顶盒、网络设备、远程摄像机等）带来类似的解决方案。（1）在台式计算机的网络接口中和/或在第一-级LAN交换机，减少边缘设备系统资源的少量使用，从而允许充分利用系统电源管理;（2）“智能”唤醒方法，以允许功率管理设备透明地并且仅在现有应用和协议需要时被唤醒，沿着用于未来网络应用的新的功率管理通知语义;（3）以太网中的自适应链路速率，以通过以变化的数据速率动态地操作链路（例如，仅在需要时为1或10 Gb/s，否则为10或100 Mb/s）;以及（4）用于分级硬件功能的固定或可重新配置级别的体系结构，以通过将硬件资源自适应地空间或时间分配给具有功率、性能和功能缩放的网络事务来实现节能操作。以及新软件和硬件的原型设计。 PI将基于自适应功能级别（包括备份、智能唤醒、自适应链路速率和重新配置）为边缘设备构建和评估高级以太网接口原型。 他们将开发使用新语义的软件应用程序原型，用于跨网络的电源管理通知。 他们将把研究成果传播给标准团体、政府机构和/或行业。PI将设计和评估一个快速的自适应链路速率的自动化机制，适合考虑由IEEE 802.3。 他们还希望在影响未来EPA能源星星规范的台式电脑和其他边缘设备（如，潜在的，电视机顶盒）发挥关键作用。 该项目将由南佛罗里达大学和佛罗里达大学合作进行。 四名研究生将得到支持，其中一名可能是针对来自代表性不足的人口群体。智力价值：所提出的工作是智力价值，因为它是第一个重大的努力，以实现节能的全球互联网在其主导因素，网络连接的边缘设备。 这项研究将定义网络边缘设备的能源效率作为一个经济和环境问题的重要性，并导致电源管理和网络应用程序，协议和架构的集成设计。 更广泛的影响：这项工作的更广泛的影响是三方面的。 首先是该项目完成后几年内对社会的影响，使美国和国外的能源成本大幅降低，并通过降低运营成本支持互联网向发展中国家的扩展。 如果基于本提案中的新思想，在网络边缘设备中启用现有的电源管理功能，美国每年将节省数亿至数十亿美元。 PI有现有的关系，使他们能够与LBNL，EPA和行业密切合作，传播研究成果并实现预期的节能。 第二个更广泛的影响是对教育过程的影响，无论是直接参与本项目的研究生，还是将从本研究创建和共享的材料中受益的许多大学生。 最后，通过NSF REU和RET计划，将向K-12和代表性不足的人群进行宣传。