We consider multi-rate peer-to-peer multi-party conferencing

applications, where different receivers in the same group can

receive videos at different rates using, for example, scalable

layered coding. The quality of video received by each receiver

can be modeled as a concave utility function of the

video rate. We study and address the unique challenges introduced

by multi-rate setting as compared to the single-rate

case. We first determine an optimal set of tree structures

for routing multi-rate content using scalable layered coding.

We then develop Primal and Primal-dual based distributed

algorithms to maximize aggregate utility of all receivers in

all groups by multi-tree routing and show their convergence.

These algorithms can be easily implemented and deployed on

today’s Internet. We have built a prototype video conferencing

system to show that this approach offers low end-to-end

delay, low complexity and high throughput, along with automatic

adaptation to network conditions and user preferences.

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In  2009 IEEE International Conference on Multimedia and Expo

Publisher  IEEE
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