Bandwidth Management for Smooth Playback of Video Streaming Services

  • Hoon Lee
  • Yoon Kee Kim
  • Kwang-Hui Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4238)


In this work we propose an analytic framework for managing the optimal bandwidth required for a smooth playback of a stored video streaming service. First, we argue that the mean buffering delay in the node is minimized if the video packets are paced to a fixed interval at the beginning of the transfer. Second, we argue that an appropriate level of bandwidth has to be maintained so that neither buffer-underflow nor buffer-overflow occurs, via which a smooth playback of video stream can be maintained. From the numerical evaluation, we found that the paced packet stream experiences smaller delay than the original random packet stream. Next, we computed a range of bandwidth for a video stream so that neither buffer-underflow nor buffer-overflow occurs, and we showed that paced packet stream requires smaller bandwidth than the original random packet stream.


Video Stream Video Server Video Source Dynamic Bandwidth Allocation Ethernet Passive Optical Network 
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  1. 1.
    Acharya, S., Smith, B., Parns, P.: Characterizing user access to video on the World Wide Web. In: Proc. ACM/SPIE MMCN (January 2000)Google Scholar
  2. 2.
    Apostolopoulos, J.G.: Video communications and video streaming, Streaming media systems group. Hewlett-Packard Laboratories, May 1 (2000)Google Scholar
  3. 3.
    Besset, C., Le Drogo, C., Dumetz, C., Paquette, R.: Orange video project with Alcatel. Alcatel Telecommunications Review 4th Quarter (2005)Google Scholar
  4. 4.
    Bolch, G., Greiner, S., de Meer, H., Trivedi, K.: Queueing Networks and Markov Chains. John Wiley & Sons, Inc., Chichester (1998)MATHCrossRefGoogle Scholar
  5. 5.
  6. 6.
    Georgiadis, L., Guerin, R., Peris, V., Sivarajan, K.: Efficient network QoS provisioning based on per node traffic shaping. IEEE/ACM Transactions on Netwoking 4(4) (August 1996)Google Scholar
  7. 7.
    Kim, D.-H., Jun, K.: Dynamic bandwidth allocation scheme for video streaming in wireless cellular networks. IEICE Trans. Commun. E89-B(2) (February 2006)Google Scholar
  8. 8.
    Kleinrock, L.: Queuing systems, Theory, vol. 1. John Wiley & Sons, Chichester (1975)Google Scholar
  9. 9.
    Komori, Y., Kasahara, S., Sugimoto, K.: A study on dynamic rate control mechanism based on end-user level QoS for streaming services. Technical Report of IEICE NS 2003-332 (2004-03)Google Scholar
  10. 10.
    Lee, H., Back, Y.-C.: Anatomy of delay for voice services in NGN. In: Proceedings of Fall Conference of the Communication Society of IEEK, Korea (2003)Google Scholar
  11. 11.
    Lee, H., Sohraby, K.: Flow-aware link dimensioning for guaranteed-QoS services in broadband convergence networks. In: JCN (March 2006) (Paper submitted)Google Scholar
  12. 12.
    Sivaraman, V., Chiussi, F., Gerla, M.: Traffic shaping for end-to-end delay guarantees with EDF scheduling. In: Proceedings of IWQoS 2000 (2000)Google Scholar
  13. 13.
    Wu, D.P., Hou, Y.W., Zhang, Y.Q.: Scalable video coding and transport over broadband wireless networks. In: Proc. IEEE, p. 89 (2001)Google Scholar
  14. 14.
    Le Boudec, J.-Y.: Network calculus made easy, Technical report EPFL-DI 96/218 (December 1996)Google Scholar
  15. 15.
    Sardella, A.: Video transit on an MPLS backbone, A solution brief from Juniper networks, Juniper Networks, Inc., 200106-0 Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hoon Lee
    • 1
  • Yoon Kee Kim
    • 2
  • Kwang-Hui Lee
    • 1
  1. 1.Changwon National UniversityChangwonKorea
  2. 2.KT R&D CenterSeoulKorea

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