Utility Maximization based P2P Multi-party Video Conferencing

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Multi-party video conferencing is an emerging application nowadays. Many commercial products such as Microsoft Office Communicator rely on the servers to distribute the video content, which is not scalable. P2P based solutions are promising, but achieving low delay and desirable throughput on P2P links is a challenging problem. In this talk, we present our design of using utility maximization framework on P2P multi-party video conferencing. The distributed primal algorithm is designed to achieve the maximum Min-Cut from the source to the receivers. Next network coding and packing tree algorithms are designed to distribute video content reliably under the achieved link rates. Ns2 simulations show that our design achieves quick convergence and fully utilizes the network resources for video conferencing in typical topologies.




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