Utility Maximization based P2P Multi-party Video Conferencing

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.

Speaker Details

Yao Zhao received his Ph.D. degrees in Electrical Engineering and Computer Science from Northwestern University Jun 2009, respectively. He received his bachelor and master degrees in Computer Science at Tsinghua University in 2001 and 2004, respectively. His research interests include network measurement, security, wireless ad-hoc and sensor networks. He will join Bell Labs in Jun 2009.

Date:
Speakers:
Yao Zhao
Affiliation:
Microsoft Research Intern