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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/6126
Title: A unified framework for sub-stream scheduling in P2P hybrid streaming systems and how to do better?
Authors: Li, Zhenjiang
Yu, Yao
Hei, Xiaojun
Tsang, Danny H. K.
Keywords: P2P streaming
Pull-push
Hybrid
Max-flow
Min-cost flow
Issue Date: 2009
Citation: Proceedings 8th International IFIP-TC 6 Networking Conference, 11-15 May 2009, Aachen, Germany, p. 728-741
Abstract: The pull-push hybrid P2P streaming, as an emerging and promising approach, has achieved some success in delivering live video traffic. The substream scheduling problem is a key design issue in a hybrid system. In this paper, we propose a max-flow model for unifying this sub-stream scheduling problem. We find that the sub-stream scheduling problem in GridMedia, CoolStreaming+ and LStreaming can be formulated into a special case of the proposed max-flow model.We further propose a min-cost flow model to combat peer heterogeneity in scheduling sub-streams. This min-cost flow model is implemented in a prototype system, LStreaming+. The accuracy of the max-flow model and the outstanding performance of LStreaming+ are demonstrated by extensive simulations. We also show that LStreaming+ achieves excellent performance in prototype experiments.
Rights: The original publication is available at http://www.springerlink.com/
URI: http://hdl.handle.net/1783.1/6126
Appears in Collections:ECE Conference Papers

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