A Scalable QoS-Aware VoD Resource Sharing Scheme for Next Generation Networks

  • Chenn-Jung Huang
  • Yun-Cheng Luo
  • Chun-Hua Chen
  • Kai-Wen Hu
Part of the Communications in Computer and Information Science book series (CCIS, volume 15)


In network-aware concept, applications are aware of network conditions and are adaptable to the varying environment to achieve acceptable and predictable performance. In this work, a solution for video on demand service that integrates wireless and wired networks by using the network aware concepts is proposed to reduce the blocking probability and dropping probability of mobile requests. Fuzzy logic inference system is employed to select appropriate cache relay nodes to cache published video streams and distribute them to different peers through service oriented architecture (SOA). SIP-based control protocol and IMS standard are adopted to ensure the possibility of heterogeneous communication and provide a framework for delivering real-time multimedia services over an IP-based network to ensure interoperability, roaming, and end-to-end session management. The experimental results demonstrate that effectiveness and practicability of the proposed work.


video-on-demand next generation network quality of service fuzzy logic 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Azad, S.A., Murshed, M.: An Efficient Transmission Scheme for Minimizing User Waiting Time in Video-On-Demand Systems. IEEE Communications Letters 11(3), 285–287 (2007)CrossRefGoogle Scholar
  2. 2.
    Kong, C.W., Lee, J.Y.B., Hamdi, M., Li, V.O.K.: Turbo-slice-and-patch: an algorithm for metropolitan scale VBR video streaming. IEEE Transactions on Circuits and Systems for Video Technology 16(3), 338–353 (2006)CrossRefGoogle Scholar
  3. 3.
    Ho, K.M., Poon, W.F., Lo, K.T.: Performance Study of Large-Scale Video Streaming Services in Highly Heterogeneous Environment. IEEE Transactions on Broadcasting 53(4), 763–773 (2007)CrossRefGoogle Scholar
  4. 4.
    Liu, J.C., Rao, S.G., Li, B., Zhang, H.: Opportunities and Challenges of Peer-to-Peer Internet Video Broadcast. Proceedings of the IEEE 96(1), 11–24 (2008)CrossRefGoogle Scholar
  5. 5.
    3GPP: Technical Specification Group Services and System Aspects. IP Multimedia Subsystem (IMS), Stage 2, TS 23.228Google Scholar
  6. 6.
    Hirota, K.: Industrial Applications of Fuzzy Technology. Springer, Heidelberg (1993)Google Scholar
  7. 7.
    Leonard, D., Zhongmei, Y., Rai, V., Loguinov, D.: On Lifetime-Based Node Failure and Stochastic Resilience of Decentralized Peer-to-Peer Networks. IEEE/ACM Transactions on Networking 15(3), 644–656 (2007)CrossRefGoogle Scholar
  8. 8.
    Yu, H., et al.: Understanding user behavior in large scale video-on-demand systems. In: Proceedings of EuroSys. (2006)Google Scholar
  9. 9.
    Verdone, R., Zanella, A.: On the Effect of User Mobility in Mobile Radio Systems With Distributed DCA. IEEE Transactions on Vehicular Technology 56(2), 874–887 (2007)CrossRefGoogle Scholar
  10. 10.
    Aggarwal, C.C., Wolf, J.L., Yu, P.S.: The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. IEEE Trans. on Computers 50(2), 97–110, 789–800 (2007)Google Scholar
  11. 11.
    Yang, D.N., Chen, M.S.: Efficient Resource Allocation for Wireless Multicast. IEEE Transactions on Mobile Computing 7(4), 387–400 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Chenn-Jung Huang
    • 1
  • Yun-Cheng Luo
    • 1
  • Chun-Hua Chen
    • 1
  • Kai-Wen Hu
    • 1
  1. 1.Department of Computer & Information Science College of ScienceNational Hualien University of Education 

Personalised recommendations