Skip to main content
Log in

Intelligent Agents for ATM Network Control and Resource Management: Experiences and Results from an Implementation on a Network Testbed

  • Published:
Journal of Network and Systems Management Aims and scope Submit manuscript

Abstract

This paper presents the architecture and implementation of a distributed multi-agent system designed to provide flexible control and efficient resource management of a communications network. The system architecture enables different service providers and the network provider to use different control algorithms on the same logically partitioned physical infrastructure. All the mechanisms have been implemented and successfully tested on real experimental telecommunications networks. The system components are first described and then results from experiments and performance issues are discussed. The problem of interfacing a multi-agent system to network devices is then discussed. Interfacing agents with the network requires some form of programmable interface, since it is necessary, for example, to override conventional ATM signaling. At the moment programmable network device interfaces are not always available, particularly in commercially available devices and, thus, generic operations using management protocols have to be used. A generic architecture for embedding custom network control functionality into ATM networks is described.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. N. Aneroussis and A. Lazar, Virtual path control for ATM networks with call level quality-of-service guarantees, IEEE/ ACM Trans. on Networking, Vol. 6, No. 2, pp. 222–236, 1998.

    Google Scholar 

  2. D. Griffin and P. Georgatsos, A TMN system for VPC and routing management in ATM networks. Integrated Network Management IV, Proc. of 4th Int'l. Symp. on Integrated Network Management, A. Sethi, Y. Raynaud and F. Faure-Vincent (eds.), 1995.

  3. J. Biswas, A. Lazar, J.-F. Huard, K. Lim, S. Mahjoub, L.-F. Pau, M. Suzuki, S. Torstensson, W. Wang, and S. Weinstein, The IEEE P1520 standards initiative for programmable network interfaces, IEEE Communications Magazine, Vol. 36, No. 10, pp. 64–71, 1998.

    Google Scholar 

  4. QoS Forum White Paper, The Need for QoS, available at http://www.qosforum.com, 1999.

  5. S. Rooney, J. Van der Merwe, S. Crosby, and I. Leslie, The Tempest: A framework for safe, resource-assured, programmable networks, IEEE Communications Magazine, Vol. 36, No. 10, pp. 42–53, 1998.

    Google Scholar 

  6. S. Rooney, The Hollowman: An innovative ATM control architecture, Proceedings of IM'97, San Diego, California 1997.

  7. A Lazar, K. Lim, and F. Marconcini, Realizing a foundation for programmability of ATM networks with the binding architecture, IEEE Journal on Selected Areas in Communications, Vol. 14, No. 7, pp. 1214–1287, 1996.

    Google Scholar 

  8. I. Cidon, T. Hsiao, A. Khamisy, A. Parekh, R. Rom, and M. Sidi, An open and effi-cient control platform for ATM networks, Sun Microsystems Laboratory, available at: http://www.sun.com/ research/, 1996.

  9. A. Hayzelden and J. Bigham, Agent technology in communications systems: An overview. Knowledge Engineering Review, Vol. 14, No. 3, pp. 1–35, 1999.

    Google Scholar 

  10. J. Bigham, L. G. Cuthbert, and Z. Luo, A distributed and decentralized architecture for control of connection admission to a telecommunications network, Technical Report, Dept. of Electric Engineering, Queen Mary and Westfield College, University of London. e-mail: j.bigham,l.g.cuthbert, z.luo@elec.qmw.ac.uk, 1999.

    Google Scholar 

  11. R. Guerin, H. Ahmadi, and M. Naghshineh, Equivalent capacity and its application in high speed networks, IEEE Journal on Selected Areas in Communications, Vol. 9, No. 7, pp. 968–981, 1991.

    Google Scholar 

  12. F. Kelly, Notes on effective bandwidths. In F. Kelly, S. Zachary, and I. Ziedins (eds.), Stochastic Networks: Theory and Applications, Oxford University Press, pp. 141–168, 1996.

  13. L. Hogg and N. R. Jennings, Variable sociability in agent-based decision making, Sixth Int'l Workshop on Agent Theories, Architectures and Languages (ATAL-99), 1999.

  14. IMPACT AC324 Project Deliverable 03, Specification of Agents, available at:http://www.acts-impact.org, 1998.

  15. J. Bigham, L. G. Cuthbert, A. L. G. Hayzelden, Z. Luo and H. Almiladi, Agent interaction for network resource management, Proc. of the Intelligence in Service and Networks '99 (IS&N99) Conference, 1999.

  16. FIPA Agent Communication Technologies and Services (FACTS) ACTS project home page, available at: http://www.labs.bt.com/profsoc/facts.

  17. S. Corley, M. Tesselaar, J. Cooley, J. Meinköhn, F. Malabocchia, and F. Garijo, The application of intelligent and mobile agents to network and service management, Proc. of the Intelligence in Services and Networks '98 (IS&N98) Conference, 1998.

  18. Eurescom P712 Project: Intelligent agents and their application to service and network management, home page, available at: http://www.eurescom.de/public/projects/p700 series/P712/P712.HTM.

  19. The EXPERT platform, available at: http://www.snh.ch/projects/watt/wdb/experts/.

  20. O. Krone, B. Messmer, H. Almiladi, and T. Curran, A Java framework for negotiating management agents, Proc. of the IMPACT99 Workshop, pp. 16–22, 1999.

  21. Foundation for Intelligent Physical Agents, FIPA 97 Specification Part 2, Agent Communication Language, available at: http://www.fipa.org, 1997.

  22. IMPACT AC324 Project Deliverable 09, Report on agent capabilities, available at: http:// www.acts-impact.org, 2000.

  23. Sun Microsystems, Hot Spot, Version 2.0. URL: http:// ww.javasoft.com/products/hotspot/index.html.

  24. E. Vayias, J. Soldatos, G. Kormentzas, N. Mitrou, and K. Kontovassilis, Monitoring networks over the web: Classification of approaches and an implementation, Proc. of International Conference on Telecommunications (ICT'98), Vol. IV, pp. 451–456, 1998.

    Google Scholar 

  25. J. Soldatos, G. Kormentzas, E. Vayias, K. Kontovasilis, and N. Mitrou, An intelligent agentsbased prototype implementation of an open platform supporting portable deployment of traffic control algorithms in ATM Networks, Proc. of the 7th COMCON Conference, 1999.

  26. IMPACT AC324 Project Deliverable 04, Specification of Signaling Implementation, available at http://www.acts-impact.org, 1998.

  27. K. L. Calvert, S. Bhattacharjee, E. Zegura, and J. Sternebz, Directions in active networks, IEEE Communications Magazine, Vol. 36, No. 10, pp. 72–78, 1998.

    Google Scholar 

  28. Journal of Network and Systems Management, Special issue on mobile agent-based network and service management, Vol. 7, No. 3, September 1999.

    Google Scholar 

  29. M. Millikin, Distributed objects: A new model for the enterprise, Data Communications Magazine, February 1997.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vayias, E., Soldatos, J., Bigham, J. et al. Intelligent Agents for ATM Network Control and Resource Management: Experiences and Results from an Implementation on a Network Testbed. Journal of Network and Systems Management 8, 373–395 (2000). https://doi.org/10.1023/A:1009434321202

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1009434321202

Navigation