Multimedia Tools and Applications

, Volume 73, Issue 3, pp 1269–1289 | Cite as

Joint bandwidth allocation, data scheduling and incentives for scalable video streaming over peer-to-peer networks

  • Junni ZouEmail author
  • Lin Chen


The overall performance of a peer-to-peer (P2P) scalable streaming system largely depends on the strategies employed in bandwidth allocation, data scheduling and incentives. In this paper, we develop a credit-based content-aware bandwidth auction model for scalable streaming in P2P networks. It formulates multi-overlay multi-layer bandwidth request and allocation problems as auction games. Each peer in the games acts as both auctioneer and player. Being a auctioneer, it maximizes the total revenue (credits) by selling upload bandwidth; Being a player, it uses the credits earned in bandwidth sales to sequentially bid for layer bandwidth so as to maximize the received video quality. Also, a content-aware bidding strategy is proposed, under which the required bandwidth quantity from a peer is determined by the informative video chunks and the marginal net utility that peer could provide, as well as the available credits and the maximum layer bit rate. The convergence of the proposed auction algorithm is mathematically proved. Finally, the performance of the proposed scheme is verified by simulation results.


Peer-to-peer scalable streaming Bandwidth allocation Auction theory Scheduling Incentives 


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringUniversity of CaliforniaSan DiegoUSA
  2. 2.Key Laboratory of Special Fiber Optics and Optical Access NetworksShanghai UniversityShanghaiChina
  3. 3.Department of Communication and Information EngineeringShanghai UniversityShanghaiChina

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