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Scalable Live Streaming Service Based on Interoverlay Optimization
December 2007 (vol. 18 no. 12)
pp. 1663-1674
In order to provide scalable live-streaming services, we propose an Inter-Overlay Optimization scheme, IOO. Instead of selecting better paths in the same overlay, IOO constructs efficient paths using peers in different overlays, so as to (i) improve global resource utilization of P2P streaming networks; (ii) assign resources based on their locality and delay; (iii) guarantee streaming service quality by using the nearest peers, even when such peers might belong to different overlays; and (iv) balance the load among the group (streaming overlay) members. We compare the performance of IOO with existing approaches through trace driven simulations. Results show that IOO outperforms previous schemes in terms of resource utilization and the QoS of streaming services. IOO scheme has been implemented in an Internet based live streaming system, called AnySee. AnySee was successfully released in the summer of 2004 in CERNET of China. Over 60,000 users enjoy massive entertainment programs, including TV programs, movies, and academic conferences videos.

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Index Terms:
Peer-to-peer, live streaming, inter-overlay optimization, startup delay, P2P topology discovery
Citation:
Xiaofei Liao, Hai Jin, Yunhao Liu, Lionel M. Ni, "Scalable Live Streaming Service Based on Interoverlay Optimization," IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 12, pp. 1663-1674, Dec. 2007, doi:10.1109/TPDS.2007.70708
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