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: 1409135
• 负责人: Kannan Ramchandran
• 金额: $ 20万
• 依托单位: University of California-Berkeley
• 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 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1409135&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，通信网络的设计发生了范式转变：重点已从建立连接转向交付内容。 内容分发网络承载着现代互联网的大量数据，其中仅视频就占据了近80%，消耗了大量的资源。 数据中心的能源成本可与中等国家相媲美。传统的内容分发网络设计涉及集中的资本密集型基础设施。为了实现可扩展的性能，下一代内容分发网络必须利用“边缘云”，其中包括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。在这个项目中，我们解决与下一代内容分发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种综合理论来表征此类网络的基本容量和性能限制，并设计相关的内容存储和分发算法以实现这些限制。内容分发网络产生了绝大多数互联网流量，我们希望我们的结果能够指导下一代此类网络。 特别是，我们探索支持通过异构网络进行稳健且高效的分布式存储和内容交付的方法。我们提案的一个不可或缺的关键方面是将项目的理论和概念方面与实际和现实世界的工程问题紧密联系起来。这种方法的重点是在研究人员的每所大学建立测试平台，并针对该提案的每个主要主题（存储、集中交付和点对点交付）。随着多媒体内容消费成为核心结合当今的在线体验，这项工作的结果预计将有助于提供无缝的最终用户体验，同时释放大量的回程资源并避免饱和，否则会困扰当今的网络基础设施。