ICN-WEN: Collaborative Research: Light-Speed Networking (LSN): Refactoring the Wireless Network Stack to Dramatically Reduce Information Response Time

ICN-WEN：合作研究：光速网络 (LSN)：重构无线网络堆栈以大幅缩短信息响应时间

基本信息

批准号：
1719386
负责人：
Arun Venkataramani
金额：
$ 69.05万
依托单位：
University of Massachusetts Amherst
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719386&HistoricalAwards=false
关键词：
ICN WEN Collaborative Research Light

项目摘要

A key hurdle for next-generation mobile and wireless applications such as autonomous vehicle safety, tactile Internet, virtual/augmented reality, industrial robotics, and tele-surgery is ultra-low information response time (IRT), since these applications continue to see significant improvement in user-perceived experience all the way down to an IRT as low as a millisecond. Unfortunately, today's Internet protocol stack, despite the rather ambitious projections of emerging wireless communications standards, is unable to achieve a 1 millisecond common-case IRT in wireless environments. A fundamental bottleneck for reducing IRT is propagation delays limited by the speed of light as well as a variety of factors across the protocol stack. This project is investigating the design, implementation, and evaluation of a "light-speed networking" (LSN) architecture seeking to dramatically reduce IRT in wireless edge networks by incorporating an information-centric approach holistically across the different layers of the network protocol stack. This project will also develop novel curricula and dissemination materials aimed at education of a new generation of workforce in information-aware networking principles that are going to be the foundation of future communication networks.The LSN project will enable the network to automatically migrate a remote service endpoint close to the end-user, for example, onto a nano-cloud on a virtualized base station, thereby cutting down propagation delays limited by the speed of light. LSN combines this capability with several other novel ideas including information-value-awareness: enabling different layers to leverage application-level knowledge about the value and semantics of the data; private information retrieval: enabling users to access information without revealing to the network what they are accessing; radio polymorphism: enabling intelligent use of different radios based on information value; access-point-centric security and privacy enhancements; etc. LSN builds upon key ideas from recent next-generation Internet architecture projects including MobilityFirst and XIA.

下一代移动和无线应用程序的关键障碍，例如自动驾驶汽车安全，触觉互联网，虚拟/增强现实，工业机器人技术和电视手术是超低信息响应时间（IRT），因为这些应用程序继续看到大量的信息一直以毫秒为单位的用户感知体验的改善一直降低到低点。不幸的是，尽管有雄心勃勃的无线通信标准的雄心勃勃的预测，今天的互联网协议堆栈仍无法在无线环境中实现1毫秒的普通案例IRT。用于减少IRT的基本瓶颈的传播延迟受光速度以及各种方案堆栈中的各种因素的限制。该项目正在调查“光速网络”（LSN）架构的设计，实现和评估，以通过整体上整体上以信息为中心的方法在网络协议堆栈的不同层中整体地结合了以信息为中心的方法，以大大减少无线边缘网络中的IRT。该项目还将开发新的课程和传播材料，旨在教育新一代的信息感知网络原理，这些劳动力将成为未来通信网络的基础。LSN项目将使网络能够自动迁移远程服务端点靠近最终用户，例如，在虚拟化基站的纳米云上，从而减少了受光速限制的传播延迟。 LSN将这种能力与其他几种新颖的想法结合在一起，包括信息值 - 意识：使不同的层次能够利用有关数据的价值和语义的应用程序级知识；私人信息检索：使用户能够访问信息，而无需向网络透露其访问的内容；无线电多态性：基于信息价值，可以智能使用不同的无线电；以访问点为中心的安全性和隐私增强功能； LSN基于最近下一代互联网架构项目（包括MobilityFirst和Xia）的关键思想。