Scalable and Adaptive QoS Mapping Control Framework for Packet Video Delivery

  • Gooyoun Hwang
  • Jitae Shin
  • JongWon Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3768)


With the exploding volume of traffic and expanding Quality of Service (QoS) requirements from emerging multimedia applications, many research efforts have been carried out to establish multi-class network service model in next-generation Internet. To successfully support multiple classes of service, network resources must be managed effectively to ensure end-to-end QoS while simultaneously sustaining stable network QoS. First, we present a scalable and adaptive QoS mapping control (SAQM) framework over the differentiated services network focusing reactive edge-to-edge QoS control in class-based. Secondly, under SAQM framework, end-to-end QoS control for per-flow service guarantee is proposed through incorporating relative priority index (RPI)-based video streaming and a special access node called media gateway (MG) at network edge. The SAQM framework is composed of the functionalities of proactive and reactive QoS mapping controls to provide reliable and consistent service guarantee. In our framework, edge-to-edge active monitoring is utilized to obtain measures reflecting each class performance and then measurement-based reactive mapping control for relative network QoS provisioning is performed at MG located in the ingress edges. Simulation results demonstrate the feasibility of an edge-based QoS control and show how to enhance the QoS performance of video streaming in proposed SAQM framework.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Blake, S., Black, D., Carlson, M., Davies, E., Wang, Z., Weiss, W.: An architecture for differentiated services, IETF RFC 2475 (December 1998)Google Scholar
  2. 2.
    Nichols, K., Jacobson, V., Zhang, L.: A two-bit differentiated servicesarchitecture for the Internet, IETF RFC 2638 (July 1999)Google Scholar
  3. 3.
    Heinanen, J., Baker, F., Weiss, W., Wroclawski, J.: Assured forwarding PHB group, IETF RFC 2597 (June 1999)Google Scholar
  4. 4.
    Ramakrishnan, K.K., Floyd, S.: A proposal to add explicit congestion notification (ECN) to IP, IETF RFC 2481 (January 1999)Google Scholar
  5. 5.
    Shin, J., Kim, J., Kuo, C.-C.J.: Quality-of-Service mapping mechanism for packet video in differentiated services network. IEEE Transaction on Multimedia 3(2), 219–231 (2001)CrossRefGoogle Scholar
  6. 6.
    Shin, J.: An analysis of aggregated traffic marking for multi-service networks. IEICE Transactions on communications E86-B(2), 682–689 (2003)Google Scholar
  7. 7.
    Habib, A., Khan, M., Bhargava, B.: Edge-to-edge measurement-based distributed network monitoring. Computer Communicatons 44, 211–233 (2004)MATHGoogle Scholar
  8. 8.
    Floyd, S., Jacobson, V.: Random early detection gateway for congestion avoidance. IEEE/ACM Transactions on Networking 1(4), 397–413 (1999)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gooyoun Hwang
    • 1
  • Jitae Shin
    • 2
  • JongWon Kim
    • 1
  1. 1.Networked Media Lab., Department of Information and CommunicationsGwangju Institute of Science and Technology (GIST)GwangjuKorea
  2. 2.School of Information and Communication EngineeringSungkyunkwan Univ.SuwonKorea

Personalised recommendations