Sum-Product Based Optimization for Scalable Video Streams in Peer-to-Peer Mesh Network
Receiver heterogeneity of a P2P network can be effectively addressed by scalable video streams. Due to the discontinuous nature of scalable video, traditional convex-optimization approach is not applicable. The authors propose a message-passing based approach for optimization using the sum-product update algorithm. Advantage of this simple but elegant approach over other heuristic-based algorithm is that the optimization algorithm itself is independent of the underlying constraints. The algorithm iteratively updates layer allocation decision based on a given set of codewords. The codewords are binary representation of various network and video constraints.