大规模点对点实时视频流系统的测量

Susu Xie, G. Y. Keung, Bo Li
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引用次数: 47

摘要

点对点(P2P)技术在文件分发等应用中取得了很大的成功,它在实时视频流中的应用最近引起了极大的关注。随着商业P2P流媒体系统的出现,其规模比学术系统大了几个数量级,了解其基本原理和局限性对未来系统的设计至关重要。Coolstreaming代表了互联网上最早的大规模直播试验之一。本文讨论了该系统的基本组成部分。通过利用最近从现场事件广播中获得的结果,我们开发了一些基础来证明随机伙伴关系选择具有扩展的潜力。具体来说,首先,我们检查覆盖拓扑。其次,结合实际跟踪和分析,我们提出了同行贡献的高度倾斜分布;一小部分对等体贡献了大部分上传容量。第三,我们讨论了主要的限制和对可伸缩性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Measurement of a large-scale Peer-to-Peer Live Video Streaming System
Peer-to-peer (P2P) technologies have found much success in applications like file distributions, and its adoption in live video streaming has recently attracted significant attentions. With the emerge of commercial P2P streaming systems that are orders of magnitude larger than the academic systems, understanding its basic principles and limitations are important in the design of future systems. Coolstreaming represented one of the earliest large-scale live streaming trials in the Internet. In this paper, we discuss the fundamental components of the system. By leveraging the recent results obtained from live event broadcast, we develop some basis to demonstrate that a random partnership selection has the potentially to scale. Specifically, first, we examine the overlay topology. Second, using a combination of real traces and analysis, we present the highly skewed distribution of peer contribution; a small fraction of peers contribute most of the upload capacity. Third, we discuss the main limitations and the implications on the scalability.
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