CIF: Small: Collaborative Research: Perishable Network Information Flow

CIF：小型：协作研究：易腐烂的网络信息流

• 批准号: 1617745
• 负责人: Pramod Viswanath
• 金额: $ 25万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1617745&HistoricalAwards=false
• 关键词: CIF; Small; Collaborative; Research; Perishable

End-to-end delay is an inherent important metric of all modern communication systems. As the end-to-end delay requirement is becoming more stringent (5G wireless technology is aiming for a latency of less than one millisecond) and as the improvement of local delay is quickly approaching the physical limits of the individual components, it is of paramount interest to study the fundamental limits of end-to-end delay from a network's perspective. Specifically, what is the largest throughput one can transmit over a multihop network while respecting a small end-to-end delay requirement? The research in this project will uncover new delay-aware fundamental limits of network communication and computation. Such results will have a basic impact on information theory, algorithmic graph theory, and communication complexity theory and promote bridging and sharing across technical disciplines that are normally studied by different scientific communities. The design of low-delay schemes will also have immediate and long-standing impact on many practical applications, including Internet of Things, cyber-physical systems, video conferencing, and mobile gaming. The project also includes plans for integrating the research into graduate-level lecture materials.The research in this project is centered around answering the question ?what is the information-theoretic capacity of a networked system under a stringent (small) finite end-to-end delay requirement??. The distinct nature of this problem requires a cross-disciplinary approach spanning graph-theory, computer science, and information theory. This project develops various new tools including new traffic models, new probabilistic frameworks, and new distributive functional computation paradigms and provides a long overdue theoretic study that explores both the graph-theoretic and information-theoretic aspects of perishable network information flow. The research is divided into two thrusts: one focused on end-to-end delay-constrained multihop network capacity and the other focused on delay-constrained distributed function computation.

端到端延迟是所有现代通信系统的固有重要指标。随着端到端延迟需求变得越来越严格（5G无线技术的目标是低于1毫秒的延迟），并且随着局部延迟的改善正在迅速接近单个组件的物理限制，这是最重要的从网络的角度研究端到端延迟的基本限制的兴趣。具体而言，在尊重小端到端延迟要求的同时，最大的吞吐量可以通过多台网络传输？该项目中的研究将发现网络通信和计算的新延迟延迟基本限制。这种结果将对信息理论，算法图理论和通信复杂性理论产生基本影响，并促进跨不同科学社区研究的技术学科的桥接和共享。低估计划的设计还将对许多实际应用产生直接和长期的影响，包括物联网，网络物理系统，视频会议和移动游戏。该项目还包括将研究整合到研究生级讲座材料中的计划。该项目的研究以回答问题为中心？在严格的（小）端到端的有限有限的有限（小）有限的有限（小）中，网络系统的信息理论能力是什么。结束延迟要求??。这个问题的独特性质需要跨学科的方法，涵盖图理论，计算机科学和信息理论。该项目开发了各种新工具，包括新的流量模型，新的概率框架和新的分布式功能计算范式，并提供了长期的逾期理论研究，可以探索易腐网络信息流的图理论和信息理论方面。该研究分为两个推力：一个专注于端到端延迟约束的多台网络容量，另一个专注于延迟受限的分布式函数计算。