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

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:
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
项目状态:
已结题
起止时间:
2008-09-01 至 2012-08-31

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中文摘要
翻译
虽然服务器-客户机模型对于许多Internet应用程序(如web和电子邮件服务)是一种成功的体系结构,但它不能随着客户机数量的增加而扩展。可伸缩性问题源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机数量。该研究将研究新的网络编码技术,以促进使用点对点平台在互联网上为媒体存储和流媒体开发高度可扩展和可靠的分布式系统。本研究将1)探索分层网络编码,这是一种用于多媒体数据分布式存储和流的新型编码技术;2)描述支持互联网上高质量媒体流应用所需的数据冗余级别;3)研究有效的数据再生技术,以在同行离开的情况下保持高水平的数据可用性。4)研究了实用的基于网络编码的多路由高效媒体传输协议。除了技术上的贡献,这项研究还有几个更广泛的影响。特别是,该研究将朝着使网络编码成为提高分散网络性能和效率的实用方法的方向发展。这将包括为网络编码技术和协议开发公开可用的源代码。本研究所开发的技术,将用于透过内容分发及P2P网路,开创多媒体传送的新事业。研究的通用性将使其他研究人员能够探索并将其结果应用于其他类型的分布式系统。该项目将培养几名精通网络和编码的硕士和博士研究生。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。
英文摘要
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.
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