Dynamic hybrid multimedia distribution scheme based on network reconfiguration

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• 作者：Fang Dong ; YuXiang Hu ; JuLong Lan
• 关键词：network reconfiguration ; hybrid distribution ; dynamic sliding push ; delivery ; /li> ; /li> 102309
• 刊名：SCIENCE CHINA Information Sciences
• 出版年：2014
• 出版时间：October 2014
• 年：2014
• 卷：57
• 期：10
• 页码：1-10
• 全文大小：809 KB
• 参考文献：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. 362-73
  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: 383-99 CrossRef
  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. 75-0
  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. 19-4
  5. Jiang H, Li J, Li Z C. Hybrid content distribution network and its performance modeling. Chin J Comput, 2009, 32: 473-82 CrossRef
  6. Hua K A, Sheu S. Skyscraper broadcasting: a new broadcasting scheme for metropolitan video-on-demand systems. Comput Commun Rev, 1997, 27: 89-00 CrossRef
  7. Ma H, Shin K G. Multicast video-on-demand services. SIGCOMM Comput Commun Rev, 2002, 32: 31-3 CrossRef
  8. Smith D E. IPTV bandwidth demand: multicast and channel surfing. In: Proceedings of 26th IEEE International Conference on Computer Communications, Anchorage, 2007. 2546-550
  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. 91-9
  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: 943-60 CrossRef
  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: 114-24 CrossRef
  12. Shakkottai S, Johari R. Demand-aware content distribution on the Internet. IEEE/ACM Trans Netw, 2010, 18: 476-89 CrossRef
  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. 919-27
  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-
  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. 1791-794
  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. 565-72
  17. Sentinelli A, Marfia G, Gerla M. Will IPTV ride the peer-to-peer stream. IEEE Commun Mag, 2007, 46: 86-2 CrossRef
  18. Jacobson V, Smetters D K, Thornton J D, et al. Networking named content. Commun ACM, 2012, 55: 117-24 CrossRef
  19. Wang B Q, Wu J X. Development trends and associated countermeasures analysis for NGN. J Inf Eng Univ, 2009, 10: 1-
  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: 334-47 CrossRef
  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-
  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. 9-3
  23. Wang H X, Wang B Q, Yu J. Research on architecture of universal carrying network. Chin J Comput, 2009, 32: 371-76
  24. Chen W L, Xu K, Xu M W. Components-based reconstructable routing development environment. J Inf Eng Univ, 2009, 10: 28-3
  25. Lu Z X, Zhang X Z. Control-plane model of reconstituted router based on virtualization technology. J Inf Eng Univ, 2009, 10: 12-7
  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. 239-52
  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. 1-4
  
• 作者单位：Fang Dong (1)
  YuXiang Hu (1)
  JuLong Lan (1)
  
  1. National Digital Switching System Engineering and Technological Research Center, Zhengzhou, 450002, China
  
• ISSN：1869-1919

文摘

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.