CIF: Medium: Collaborative Research: Content Delivery over Heterogeneous Networks: Fundamental Limits and Distributed Algorithms

CIF：媒介：协作研究：异构网络上的内容交付：基本限制和分布式算法

• 批准号: 1409106
• 负责人: Pramod Viswanath
• 金额: $ 60万
• 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: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1409106&HistoricalAwards=false
• 关键词: CIF; Medium; Collaborative; Research; Content

There has been a paradigm shift in the design of communication networks due to the content revolution: the focus has shifted from making a connection to delivering content. Content Distribution Networks carry much of the data of the modern Internet, with video alone occupying nearly 80%, consuming a massive amount of resources. The energy cost of data centers rivals that of medium sized countries. Traditional content distribution network designs have involved centralized capital-intensive infrastructure. For scalable performance, next generation content distribution networks will have to harness the "edge-cloud," consisting of vast numbers of highly capable end user devices such as smart phones, tablets, and e-readers. In this project we address the issues of models, fundamental limits, and storage and delivery algorithms associated with the distributed nature of next generation content distribution networks. The main goal of this project is to develop a comprehensive theory for characterizing the fundamental capacity and performance limits of such networks, and to design the associated content storage and distribution algorithms to achieve these limits. Content distribution networks generate the vast majority of all internet traffic, and we expect our results to guide the next generation of such networks. In particular, we explore ways to support robust and efficient distributed storage and delivery of content over heterogeneous networks. An integral and key aspect of our proposal is to closely tie the theoretical and conceptual aspects of the project with the practical and real-world engineering issues. This approach is highlighted by building testbeds at each of the universities of the investigators as well as specific to each of the main topics (storage, centralized delivery, and peer-to-peer delivery) of the proposal.As multimedia content consumption becomes the centerpiece of today's on-line experience, the results of this work are expected to contribute to a seamless end-user experience, while freeing up significant backhaul resources and avoiding the saturation that would otherwise plague today's network infrastructure.

由于内容革命，通信网络的设计范式发生了变化：重点已经从建立连接转变为交付内容。 内容分销网络携带现代互联网的大部分数据，仅视频就占据了近80％的含量，消耗了大量资源。 数据中心的能源成本与中型国家的能源成本相媲美。传统的内容分销网络设计涉及集中资本密集型基础设施。为了进行可扩展的性能，下一代内容分销网络将不得不利用“ Edge-Cloud”，由大量功能强大的最终用户设备（例如智能手机，平板电脑和电子阅读器）组成。在此项目中，我们解决了与下一代内容分销网络的分布式性质相关的模型，基本限制以及存储和交付算法的问题。 该项目的主要目标是开发一个综合理论，以表征此类网络的基本能力和性能限制，并设计相关的内容存储和分发算法以实现这些限制。内容分销网络生成了所有互联网流量的绝大多数，我们希望我们的结果能够指导下一代此类网络。 特别是，我们探索了支持稳健有效的分布式存储和内容通过异质网络的交付的方法。提案的一个不可或缺的方面是将项目的理论和概念方面紧密联系在一起，并将其与实用和现实世界的工程问题联系起来。该方法在调查人员的每所大学中建立测试床，以及该提案的每个主要主题（存储，集中式交付和点对点交付）的特定于此。在当今的在线经验中，这项工作的结果有望为无缝的最终用户体验做出贡献，同时释放大量的回程资源并避免饱和，否则会遇到当今网络基础架构。