一个可扩展和可靠的P2P辅助代理流系统

Lei Guo, Songqing Chen, Shansi Ren, Xin Chen, Song Jiang
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引用次数: 82

摘要

在科学、教育和商业应用中,在互联网上传输流媒体内容的需求越来越高。为此目的开发了三种具有代表性的技术,每种技术都有其优点和严重的局限性。基于基础设施的cdn具有专用的网络带宽和强大的媒体副本,可以提供高质量的流媒体服务,但成本很高。基于服务器的代理具有成本效益,但由于代理容量有限及其集中控制而无法扩展。基于客户端的P2P网络是可扩展的,但由于对等体的瞬态特性,不能保证高质量的流媒体服务。为了解决这些限制,我们提出了一种新颖而高效的设计,该设计支持P2P网络的可扩展且可靠的媒体代理系统。这个系统被称为PROP,是我们的技术主题“协作和协调代理及其P2P客户端”的缩写。我们的目标是以经济有效的方式解决流媒体传输的可扩展性和可靠性问题。在PROP系统中,企业内部网内的客户端机器被自组织成一个结构化的P2P系统,提供大容量的媒体存储,并积极参与流媒体的分发,其中还嵌入代理作为重要成员,以保证流媒体服务的质量。通过我们的P2P管理架构和置换政策,有效地进行了系统内的协调和协作。我们通过跟踪驱动的模拟、合成工作负载和从企业网络中的媒体服务器日志中提取的真实工作负载跟踪,对我们的系统进行了比较评估。结果表明,我们的设计显著提高了媒体流的质量和系统的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PROP: a scalable and reliable P2P assisted proxy streaming system
The demand of delivering streaming media content in the Internet has become increasingly high for scientific, educational, and commercial applications. Three representative technologies have been developed for this purpose, each of which has its merits and serious limitations. Infrastructure-based CDNs with dedicated network bandwidths and powerful media replicas can provide high quality streaming services but at a high cost. Server-based proxies are cost-effective but not scalable due to the limited proxy capacity and its centralized control. Client-based P2P networks are scalable but do not guarantee high quality streaming service due to the transient nature of peers. To address these limitations, we present a novel and efficient design of a scalable and reliable media proxy system supported by P2P networks. This system is called PROP abbreviated from our technical theme of "collaborating and coordinating PROxy and its P2P clients". Our objective is to address both scalability and reliability issues of streaming media delivery in a cost-effective way. In the PROP system, the clients' machines in an intranet are self-organized into a structured P2P system to provide a large media storage and to actively participate in the streaming media delivery, where the proxy is also embedded as an important member to ensure quality of streaming service. The coordination and collaboration in the system are efficiently conducted by our P2P management structure and replacement policies. We have comparatively evaluated our system by trace-driven simulations with synthetic workloads and with a real-life workload trace extracted from the media server logs in an enterprise network. The results show that our design significantly improves the quality of media streaming and the system scalability.
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