Bandwidth Auction for SVC streaming in Dynamic Multioverlay In this paper, we study the optimal bandwidth allocation for scalable video coding (SVC) streaming in multiple overlays. We model the whole bandwidth request and distribution process as a set of decentralized auction games between the competing peers. For the upstream peer, a bandwidth allocation mechanism is introduced to maximize the aggregate revenue. For the downstream peer, a dynamic bidding strategy is proposed. It achieves maximum utility and efficient resource usage by collaborating with a contentaware layer droppingadding strategy. Also, the convergence of the proposed auction games is theoretically proved. Experimental results show that the auction strategies can adapt to dynamic join of competing peers and video layers.

Optimization on Rate Allocation and Distortion Control for Scalable Video Coding Multicast Networks In this paper, we address the joint optimization problem of rate allocation and distortion control for scalable video coding (SVC) multicast networks. Firstly, we construct video distribution meshes by coupling network coding and multipath routing with multirate control to seek optimal routing paths and associated transmission rates. Secondly, a particular minimum bandwidth consumption scheme is presented for each video layer to reduce video distortion, where the content priority of the base layer and the minimum bandwidth consumption at higher layers are taken into account. Finally, a convex mathematic model combining these considerations is proposed. Through decomposition and dual approach, the target convex optimization problem is solved by a fully decentralized algorithm which is decomposed into a twolevel optimization procedure. Simulation results validate the convergence behavior and performance of the proposed algorithm.