Resilient peer-to-peer streaming Export

@inproceedings{CoopNet, abstract = {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.}, author = {Padmanabhan, V. N. and Wang, H. J. and Chou, P. A.}, booktitle = {Network Protocols, 2003. Proceedings. 11th IEEE International Conference on}, citeulike-article-id = {345431}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1249753}, journal = {Network Protocols, 2003. Proceedings. 11th IEEE International Conference on}, keywords = {mdc, p2p, streaming}, pages = {16--27}, posted-at = {2006-12-11 13:08:33}, priority = {0}, title = {Resilient peer-to-peer streaming}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1249753}, year = {2003} }

TY - CONF ID - CoopNet L3 - citeulike-article-id:345431 N2 - 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. JF - Network Protocols, 2003. Proceedings. 11th IEEE International Conference on EP - 27 TI - Resilient peer-to-peer streaming T2 - Network Protocols, 2003. Proceedings. 11th IEEE International Conference on SP - 16 KW - mdc KW - p2p KW - streaming AU - Padmanabhan, VN AU - Wang, HJ AU - Chou, PA PY - 2003/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1249753 ER -