NeTS: Small: GATE: Greening At The Edges

NetS：小型：GATE：边缘绿化

• 批准号: 1218181
• 负责人: Nirwan Ansari
• 金额: $ 35万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1218181&HistoricalAwards=false
• 关键词: NeTS; Small; GATE; Greening; Edges

This project addresses the reduction of energy consumption in optical and wireless access networks via a series of approaches such as capacity-adaptive network design, and energy-efficient resource allocation and traffic scheduling. The capacity-adaptive access network stays in the 'high-capacity high-power' mode when the network is heavily loaded with bandwidth-hungry applications such as video streaming, and switches into the 'low-capacity low-power' mode when the network is lightly loaded with less bandwidth demanding applications such as voice and future smart grid traffic. The project generalizes the approaches currently being used in data centers to communication links, and focuses on formalizing the problem and obtaining optimal or near-optimal solutions. It will not only improve energy efficiency of current access networks, but will also provide insights and guidelines on how to upgrade the capacity of access networks efficiently.The concept of designing capacity-adaptive access networks introduces new requirements of 'capacity adaptive' on the design of access networks as opposed to simply provisioning for peak utilization. This project's energy-aware network control, resource allocation, and traffic scheduling schemes consider an additional key performance metric, energy consumption, in addition to network quality of service, while conventional schemes merely consider network performance such as delay and loss. Research results, via theoretical analysis, simulations, and testbed experiments, will not only demonstrate improved energy efficiency of access networks, but will also be potentially tailored for core networks, datacenter networks, and other wireless systems.Broader Impact:Reducing the energy consumption of access equipment will not only have positive environment impacts during normal operation but it will provide public benefit during emergencies. Remote access equipment is currently powered by a combination of public power, battery backup, and varying degrees of local generation. Techniques such as those being developed by this project that extend operation when on emergency backup help protect the public health and safety. The project will integrate research and education through participation of both undergraduate and graduate students in the project and by incorporation of research outcomes into undergraduate and graduate course work. The PI will utilize the New Jersey Educational Opportunity Program (EOP), which provides educational opportunities to under-represented populations, as part of the process for recruiting students into the research program.

该项目通过容量自适应网络设计、节能资源分配和流量调度等一系列方法来降低光和无线接入网络的能耗。 当网络因视频流等高带宽应用而负载过重时，容量自适应接入网络会保持在“高容量高功率”模式，而当网络负载过重时，容量自适应接入网络会切换到“低容量低功耗”模式。轻载带宽要求较低的应用程序，例如语音和未来智能电网流量。 该项目概括了数据中心目前使用的通信链路方法，并侧重于将问题形式化并获得最佳或接近最佳的解决方案。 它不仅可以提高当前接入网的能源效率，还可以为如何有效升级接入网的容量提供见解和指导。容量自适应接入网的设计理念对设计提出了“容量自适应”的新要求的接入网络，而不是简单地配置峰值利用率。该项目的能源感知网络控制、资源分配和流量调度方案除了网络服务质量之外还考虑了额外的关键性能指标——能耗，而传统方案仅考虑延迟和丢失等网络性能。通过理论分析、模拟和测试台实验，研究结果不仅将证明接入网络的能源效率得到提高，而且还可能针对核心网络、数据中心网络和其他无线系统进行定制。 更广泛的影响：降低接入网络的能耗接入设备不仅会在正常运行期间产生积极的环境影响，而且会在紧急情况下提供公共利益。 远程访问设备目前由公共电源、备用电池和不同程度的本地发电相结合来供电。 该项目正在开发的技术可以在紧急备份时延长运行时间，有助于保护公众健康和安全。 该项目将通过本科生和研究生参与项目并将研究成果纳入本科生和研究生课程工作来整合研究和教育。 PI 将利用新泽西州教育机会计划 (EOP)，该计划为代表性不足的人群提供教育机会，作为招募学生加入研究计划的过程的一部分。