Resilient peer-to-peer streaming

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, howeve...

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Bibliographic Details
Published in11th IEEE International Conference on Network Protocols, 2003. Proceedings pp. 16 - 27
Main Authors Padmanabhan, V.N., Wang, H.J., Chou, P.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
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Summary: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.
ISBN:9780769520247
0769520243
ISSN:1092-1648
2643-3303
DOI:10.1109/ICNP.2003.1249753