The pull-push hybrid P2P streaming, as an emerging and promising approach, has achieved some success in delivering live video traffic. The sub-stream 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. © IFIP International Federation for Information Processing 2009.
CITATION STYLE
Li, Z., Yu, Y., Hei, X., & Tsang, D. H. K. (2009). A unified framework for sub-stream scheduling in P2P hybrid streaming systems and how to do better. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5550 LNCS, pp. 728–741). https://doi.org/10.1007/978-3-642-01399-7_57
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