DMSS: Network Coding Techniques for Scalable Distributed Media Storage and Streaming

DMSS：可扩展分布式媒体存储和流媒体的网络编码技术

• 批准号: 0834775
• 负责人: Thinh Nguyen
• 金额: $ 20.55万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0834775&HistoricalAwards=false
• 关键词: DMSS; Network; Coding; Techniques; Scalable

While the server-client model has been a successful architecture for many Internet applications such as web and e-mail services, it does not scale with the number of clients. The scalability problem arises from either the computational capability or the bandwidth of a server which limits the number of clients that can be served at any given time. The research will investigate novel network coding techniques that facilitate the development of highly scalable and reliable distributed systems for media storage and streaming over the Internet using the peer-to-peer platform. The research will 1) explore the Hierarchical Network Coding, a novel coding technique for distributed storage and streaming of multimedia data, 2) characterize the necessary data redundancy level for supporting high quality media streaming applications over the Internet, 3) investigate the efficient data regeneration technique for maintaining the high level of data availability in the presence of peer departures, and 4) study the practical network coding based protocols for efficient media delivery via multiple routes. Beyond the technical contributions, the research has several broader impacts. In particular, the research will move toward making network coding a practical approach for increasing performance and efficiency in decentralized networks. This will include the development of publicly available source codes for network coding techniques and protocols. The technologies developed in this research will be used to start new ventures in multimedia delivery via content distribution and P2P networks. The generality of research will enable to other researchers to explore and apply its results to other types of distributed systems. The project will produce several Masters and PhD students with expertise in networking and coding. Also, the project will contribute to fostering the collaboration between networked systems and coding theory researchers.

虽然服务器-客户端模型对于许多Internet应用程序（如Web和电子邮件服务）来说是一个成功的体系结构，但它并不随客户端的数量而扩展。 可伸缩性问题来自于服务器的计算能力或带宽，这限制了在任何给定时间可以服务的客户端的数量。 这项研究将探讨新的网络编码技术，促进高度可扩展性和可靠的分布式系统的媒体存储和流媒体在互联网上使用对等平台的发展。 本研究将1）探索分层网络编码（Hierarchical Network Coding），一种用于多媒体数据的分布式存储和流传输的新编码技术，2）表征支持因特网上的高质量媒体流应用所需的数据冗余水平，3）研究在存在对等体离开的情况下保持高水平数据可用性的有效数据再生技术，以及4）研究用于经由多个路由的有效媒体递送的基于实际网络编码的协议。 除了技术贡献之外，这项研究还有几个更广泛的影响。 特别是，该研究将使网络编码成为一种提高分散网络性能和效率的实用方法。 这将包括为网络编码技术和协议开发可公开获得的源代码。 在这项研究中开发的技术将被用来启动新的企业在多媒体交付通过内容分发和P2P网络。 研究的普遍性将使其他研究人员能够探索和应用其结果到其他类型的分布式系统。该项目将培养几名具有网络和编码专业知识的硕士和博士生。此外，该项目将有助于促进网络系统和编码理论研究人员之间的合作。