Skip to main content
SpringerLink
Log in

Adaptive Management of QoS Requirements for Wireless Multimedia Communications

  • Published:
Information Technology and Management Aims and scope Submit manuscript

Abstract

We present a control model, which provides response time and bandwidth requirement adaptation in audio, video, and application sharing multipoint IP teleconferences for emerging wireless multimedia communications. The model is based on revealing feedback controls for multimedia call preparation and subsequent real time connection control. Case-based reasoning memory is used to associate real time congestion (connection) controls with call preparation controls and user QoS profiles. Web agents are used to capture user and application multimedia call profiles observed at the application layer and transfer them into the case memory. RTP statistics are used to identify the connection management feedback controls for the network layer. Real-time adaptation at the network layer and above is made possible by using hierarchical coding techniques. The proposed adaptive management architecture is illustrated by a case memory representation of call preparation feedback controls, RTP feedback control tests for providing audio stream bandwidth adaptation, and configuration of integrated experiments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. M. Libicki, Who runs what in the Global information grid: Ways to share local and Global responsibility, RAND Corporation (2000).

  2. T. Malone and K. Crowston, The interdisciplinary study of coordination, ACM Computing Surveys 6(1) (1994) 87–119.

    Google Scholar 

  3. J. Mayfield, Y. Labrou and T. Finin, Desiderata for agent communication languages, in: Proceedings of the AAAI Symposium on Information Gathering from Heterogeneous, Distributed Environments, AAAI-95 Spring Symposium, Stanford University, Stanford, CA, 27–29 March 1995.

  4. M.R. Genesereth and S. Ketchpel, Software agents, Communications of the ACM 37(7) (1994).

  5. L. Lewis, Managing Computer Networks: A Case-Based Reasoning Approach (Artech House, 1995).

  6. A. Bordetsky and E. Bourakov, Agents-facilitators for adaptive management of collaborative environments, in: Proceedings of the 3rd INFORMS Conference on Information Systems and Technology, Montreal, 26–28 April 1998, pp. 82–96.

  7. H. Schulzrinne, S. Casner, R. Frederick and V. Jacobsen, RTP: A transport protocol for real-time applications, RFC 1889 (January 1996).

  8. J. Bolot and T. Turletti, Experience with control mechanisms for packet video in the Internet, ACM Computer Communication Review (January 1998).

  9. V. Hardman, M. Sasse and I. Kouvelas, Successful multiparty audio communication over the Internet, Communications of ACM 41(5) (1998).

  10. C. Parris, G. Ventre and H. Zhang, Graceful adaptation of guaranteed performance service connections, in: Proceedings of IEEE GLOBECOM '93, Houston, TX, November 1993.

  11. I. Busse, B. Deffner and H. Schulzrinne, Dynamic QoS control of multimedia applications based on RTP, in: International Workshop on High-Speed Networks and Open Distributed Platforms (1995).

  12. D. Hoffman and M. Speer, Hierarchical video distribution over Internet-style networks, in: Proceedings of the IEEE International Conference on Image Processing, Luasanne, Switzerland, September 1996.

  13. S. McCanne, V. Jacobson and V. Vetterli, Receiver-driven layered multicast, in: Proceedings of ACM SIGCOMM, Stanford, CA, August 1996.

  14. I. Kouvelas, V. Hardman and J. Crowcroft, Network adaptive continuous-media applications through self organized transcoding, in: Proceedings of Network and Operating Systems Support for Digital Audio and Video (NOSSDAV 98), Cambridge, UK, 8–10 July 1998.

  15. A. Bordetsky, Reasoning on infeasibility in distributed collaborative computing environment, Annals of Mathematics and Artificial Intelligence 17 (1996) 155–176.

    Google Scholar 

  16. J. Odubiyi, G. Meekins, S. Huang and T. Yin, Proteus-adaptive polling starategies for proactive management of ATM networks using collaborative intelligent agents, in: Proceedings of the 3rd International Conference on Autonomous Agents, Seattle, WA, 1–5 May 1999.

Download references

Author information

Authors and Affiliations

  1. Naval Postgraduate School, Monterey, CA, 939343, USA

    Alex Bordetsky

  2. TELCOT Center for Research, California State University, Hayward, CA, 94542, USA

    Kevin Brown

  3. Department of Mathematics and Computer Science, California State University, Hayward, CA, 94542, USA

    Leann Christianson

Authors
  1. Alex Bordetsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kevin Brown
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Leann Christianson
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bordetsky, A., Brown, K. & Christianson, L. Adaptive Management of QoS Requirements for Wireless Multimedia Communications. Information Technology and Management 4, 9–31 (2003). https://doi.org/10.1023/A:1021872332173

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1021872332173

Search

Navigation