Resilient peer-to-peer streaming
Resilient peer-to-peer streaming
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DOI：
10.1109/icnp.2003.1249753
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发表时间：
2003-11
期刊：
影响因子：
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通讯作者：
V. Padmanabhan;Helen J. Wang;P. Chou
中科院分区：
文献类型：
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作者：
V. Padmanabhan;Helen J. Wang;P. Chou
我们考虑将“直播”流媒体内容分发给潜在的庞大且高度动态的主机人口的问题。在这种情况下，点对点内容分发很有吸引力，因为可用于服务内容的带宽随需求而变化。然而，一个关键的挑战是如何使内容分发对对等的暂态具有鲁棒性。我们提供健壮性的方法是引入冗余；包括网络路径和数据。我们使用多个不同的分布树来提供网络路径的冗余，使用多个描述编码（MDC）来提供数据的冗余。我们提出了一个简单的树管理算法，该算法提供了必要的路径多样性，并描述了一个基于可扩展接收器反馈的MDC自适应框架。我们将MDC应用于真实视频数据，并结合来自一个主要新闻网站的真实使用痕迹来评估这些问题，该网站经历了大量的直播流媒体内容。我们的结果显示，使用多个分布树和MDC有非常显著的好处，在某些情况下，PSNR提高了22 dB。
We consider the problem of distributing "live" streaming media content to a potentially large and highly dynamic population of hosts. Peer-to-peer content distribution is attractive in this setting because the bandwidth available to serve content scales with demand. A key challenge, however, is making content distribution robust to peer transience. Our approach to providing robustness is to introduce redundance; both in network paths and in data. We use multiple, diverse distribution trees to provide redundancy in network paths and multiple description coding (MDC) to provide redundancy in data. We present a simple tree management algorithm that provides the necessary path diversity and describe an adaptation framework for MDC based on scalable receiver feedback. We evaluate these using MDC applied to real video data coupled with real usage traces from a major news site that experienced a large flash crowd for live streaming content. Our results show very significant benefits in using multiple distribution trees and MDC, with a 22 dB improvement in PSNR in some cases.