Science China Information Sciences

, Volume 57, Issue 10, pp 1–10 | Cite as

Dynamic hybrid multimedia distribution scheme based on network reconfiguration

Research Paper


This paper addresses a key challenge in the design and implementation of multimedia distribution systems so that users can experience good performance with minimal operational costs. In current structures, the conflict between network architectures and service provision causes a decline in users’ expectations of quality. Network reconfiguration provides a feasible solution for dynamic distribution as a primitive for both quality and efficiency. In this paper, we first present a scheme for a layer-based hybrid multimedia distribution system LHMDS, and then introduce a dynamic sliding push-delivery mechanism based on reconfiguration of the distribution of hotspot files. The LHMDS adopts a unique structure with hybrid channels, including broadcast and unicast ones, and adjusts its distribution topology according to the congestion status, thereby pushing hotspot files dynamically. The mechanism dynamically pushes files to upper or lower network layers depending on the network status while distributing hotspot files by broadcast channels and other files by unicast ones. This guarantees service quality as well as improving resource utilization. Finally, we validate the feasibility and performance of the scheme through a simulation.


network reconfiguration hybrid distribution dynamic sliding push-delivery 



本文提出一种基于网络重构的动态流媒体混合分发方案, 并给出一种面向热点数据的动态滑动推送机制, 该机制采用“广播+单播”的独特流媒体分发架构, 基于资源重构可支持面向网络拥塞状态的动态分发网络拓扑变化, 从而实现热点流媒体数据的滑动推送, 在保证用户服务质量的同时提高了资源利用率。


流媒体混合分发 网络重构 动态推送 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Supplementary material

11432_2013_4962_MOESM1_ESM.pdf (48 kb)
Supplementary material, approximately 48.0 KB.


  1. 1.
    Dobrin F, Sekar V, Stoica L, et al. Understanding the impact of video quality on user engagement. In: Proceedings of SIGCOMM Workshops, Qntario, 2011. 362–373Google Scholar
  2. 2.
    Xu D, Kulkarni S, Rosenberg C, et al. Analysis of a CDN-P2P hybrid architecture for cost-effective streaming media distribution. Multimedia Syst, 2006, 11: 383–399CrossRefGoogle Scholar
  3. 3.
    Huang C, Wang A, Li J, et al. Understanding hybrid CDN-P2P: why limelight needs its own red swoosh. In: Proceedings of 18th International workshop on Network and Operating Systems Support for Digital Audio and Video, Braunschweig, 2008. 75–80Google Scholar
  4. 4.
    Yin H, Liu X N, Zhan T Y, et al. Design and deployment of a hybrid CDN-P2P system for live video streaming: experiences with LiveSky. In: Proceedings of ACM Multimedia, Beijing, 2009. 19–24Google Scholar
  5. 5.
    Jiang H, Li J, Li Z C. Hybrid content distribution network and its performance modeling. Chin J Comput, 2009, 32: 473–482CrossRefGoogle Scholar
  6. 6.
    Hua K A, Sheu S. Skyscraper broadcasting: a new broadcasting scheme for metropolitan video-on-demand systems. Comput Commun Rev, 1997, 27: 89–100CrossRefGoogle Scholar
  7. 7.
    Ma H, Shin K G. Multicast video-on-demand services. SIGCOMM Comput Commun Rev, 2002, 32: 31–43CrossRefGoogle Scholar
  8. 8.
    Smith D E. IPTV bandwidth demand: multicast and channel surfing. In: Proceedings of 26th IEEE International Conference on Computer Communications, Anchorage, 2007. 2546–2550Google Scholar
  9. 9.
    Gopalakrishnan V, Bhattacharjeey B, Ramakrishnan K K, et al. CPM: adaptive video-on-demand with cooperative peer assists and multicast. In: Proceedings of 28th Conference on Computer Communications, Brazil, 2009. 91–99Google Scholar
  10. 10.
    Ravi J, Yu Z F, Shi W S. A survey on dynamic web content generation and delivery techniques. J Netw Comput Appl, 2009, 32: 943–960CrossRefGoogle Scholar
  11. 11.
    Batista C A S, Lopes S R, Viana R L. Delayed feedback control of bursting synchronization in a scale-free neuronal network. Neural Netw, 2010, 23: 114–124CrossRefGoogle Scholar
  12. 12.
    Shakkottai S, Johari R. Demand-aware content distribution on the Internet. IEEE/ACM Trans Netw, 2010, 18: 476–489CrossRefGoogle Scholar
  13. 13.
    Kumar R, Liu Y, Ross K W. Stochastic fluid theory for p2p streaming systems. In: Proceedings of 26th IEEE International Conference on Computer Communications, Anchorage, 2007. 919–927Google Scholar
  14. 14.
    Church K, Greenberg A, Hamilton J. On delivering embarrassingly distributed cloud services. In: Proceedings of 7th ACM Workshop on Hot Topics in Networks (HotNets-VII), Calgary, 2008. 1–6Google Scholar
  15. 15.
    Zheng Q, Zeng Z K, Luo W. The design and implementation of media distribution system in 3Tnet VoD. In: Proceedings of the International Conference on Consumer Electronics, 2011. 1791–1794Google Scholar
  16. 16.
    Zhai H B, Wong A K, Jiang H, et al. Optimal p2p cache sizing: a monetary cost perspective on capacity design of caches to reduce p2p traffic. In: Proceedings of 17th IEEE International Conference on Parallel and Distributed Systems, Tainan, 2011. 565–572Google Scholar
  17. 17.
    Sentinelli A, Marfia G, Gerla M. Will IPTV ride the peer-to-peer stream. IEEE Commun Mag, 2007, 46: 86–92CrossRefGoogle Scholar
  18. 18.
    Jacobson V, Smetters D K, Thornton J D, et al. Networking named content. Commun ACM, 2012, 55: 117–124CrossRefGoogle Scholar
  19. 19.
    Wang B Q, Wu J X. Development trends and associated countermeasures analysis for NGN. J Inf Eng Univ, 2009, 10: 1–6Google Scholar
  20. 20.
    Hu Y X, Lan J L, Wu J X. Providing personalized converged services based on flexible network reconfiguration. Sci China Inf Sci, 2011, 54: 334–347CrossRefGoogle Scholar
  21. 21.
    Ferreira R, Laure M, Beck A C, et al. A low cost and adaptable routing network for reconfigurable systems, In: Proceedings of the IEEE International Parallel and Distributed Processing Symposium, Roma, 2009. 1–8Google Scholar
  22. 22.
    Hidell M, Hagsand O, Sjodin P, et al. Distributed control for decentralized modular routers. In: Proceedings of 2nd Swedish National Computer Networking Workshop, Karlstad, 2004. 9–13Google Scholar
  23. 23.
    Wang H X, Wang B Q, Yu J. Research on architecture of universal carrying network. Chin J Comput, 2009, 32: 371–376Google Scholar
  24. 24.
    Chen W L, Xu K, Xu M W. Components-based reconstructable routing development environment. J Inf Eng Univ, 2009, 10: 28–33Google Scholar
  25. 25.
    Lu Z X, Zhang X Z. Control-plane model of reconstituted router based on virtualization technology. J Inf Eng Univ, 2009, 10: 12–17Google Scholar
  26. 26.
    Freedman M J, Freudenthal E, Mazieres D. Democratizing content publication with coral. In: Proceedings of USENIX Symposium on Networked Systems Design and Implementation, San Francisco, 2004. 239–252Google Scholar
  27. 27.
    Cha M, Kwak H, Rodriguez P, et al. I tube, you tube, everybody tubes: analyzing the world’s largest user generated content video system. In: Proceedings of ACM Internet Measurement Conference, San Diego, 2007. 1–14Google Scholar

Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.National Digital Switching System Engineering and Technological Research CenterZhengzhouChina

Personalised recommendations