Abstract
Intelligent Networks (IN) are used in telecommunication networks to provide services that require a decision-making network element. This element is the Service Control Point (SCP). An overload of an SCP can result in a great reduction in the Quality of Service (QoS) provided by the IN. While traditional IN load control algorithms assume a single service network model or make use of a centralized controller, in this paper we propose and investigate a market-based model for solving the distributed IN load control problem for a multi-service network, where any service can be provided by any SCP. Furthermore, we study a realization of this model based on a multi-agent system (MAS) and finally draw conclusions as to both its efficiency and effectiveness.
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References
X. H. Pham and R. Betts, “Congestion Control in Intelligent Networks”, Computer Networks and ISDN Systems, Vol. 26, No 5, pp. 511–524,1994.
D. E. Smith, “Ensuring Robust Call Throughput and Fairness for SCP Overload Controls”, IEEE/ACM Transactions on Networking, Vol. 3. No. 5, pp. 538–548, 1995.
J. Bedoy et al, “Study of Control Mechanisms for the Effective Delivery of IN Services”, IEEE International Communication Conference (ICC’98), pp. 1738–1742, 1998.
A. Hac, and L. Gao, “Congestion Control in Intelligent Network”, IEEE International Performance, Computing & Communications Conference, pp. 279–283, 1998.
F. Lodge, D. Botvich, and T. Curran, “A Fair Algorithm for Throttling Combined IN and non-IN Traffic at the SSP of the Intelligent Network”, Proceedings of Intelligence in Service & Networks (ISʼn98), Antwerp, Belgium, 1998.
M. Kihl, and C. Nyberg, “Investigation of Overload Control Algorithms for SCPs in the Intelligent Network”, IEE Proceedings-Communications, Vol. 144, No. 6, pp.419–424, 1997.
H. Kawamura, and E. Sano, “A Congestion Control System for an Advanced Intelligent Network”, Proceedings of NOMS’ 96-IEEE Network Operations and Management Symposium, Kyoto, pp. 628–631, 1996.
A. Arvidsson, B. Jennings, and L. Angelin, “On the use of Agent Technology for Load Control, with an example Intelligent Network (IN) ‘Market-based’ mechanism”, Proceedings of ITC-16, 1999.
M. P. Wellman, “A Market-Oriented Programming Environment and Its Application to Distributed Multicommodity Flow Problems”, Journal of Artificial Intelligence Research, Vol. 1, No. 1, pp. 1–22, 1993.
N.R. Jennings and M.J. Wooldridge, “Applications Of Intelligent Agents”, in Nicholas R. Jennings and Michael J. Wooldridge (Ed.), “Agent Technology Foundations, Applications, and Markets”, Springer-Verlag, 1998.
H.S. Nwana & D.T. Ndumu, “A Perspective on Software Agents Research”, The Knowledge Engineering Review, Vol. 14, No. 2, pp 1–18, 1999.
B. Jennings et al, “FIPA-compliant Agents for Real-time Control of Intelligent Network Traffic”, Computer Networks 31, pp. 2017–2036, 1999.
FIPA’97 specification Part 2: Agent Communication Language, http://www.fipa.org, 1997.
Gibney, M.A. and Jennings, N.R., “Market Based Multi-Agent Systems for ATM network management”, in Proceedings of the 4th Communications Network Symposium, Manchester, UK, 1997.
A. Chavez and M. Moukas, “Challenger: A Multi-agent System for Distributed Resource Allocation”, Proceedings of the First International Conference on the Practical Application of Intelligent Agents and Multi Agent Technology, London, UK, April 1996.
M. Chatzaki, S. Sartzetakis, N. Papadakis, and C. Courcoubetis, “Resource Allocation in Multiservice MPLS”, Proceedings of the 7 th IEEE/IFIP International Workshop on Quality of Service, London, UK, 1999.
M. P. Wellman, “Market-oriented Programming: Some Early Lessons”, in S. Clearwater Ed., “Market-based Control”, World Scientific Publishing, 1996.
F. Ygge and H. Akkermans, “Duality in Multi-Commodity Market Computations”, in C. Zhang and D. Lukose, eds, Proceeding of the Third Australian Workshop on Distributed Artificial Intelligence, Perth, Australia, pp. 65–78, 1997.
S. Bikhchandani and J. W. Maner, “Competitive equilibrium in an exchange economy with indivisibilities”, Journal of Economic Theory, Vol. 74, pp. 385–413, 1997.
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Patel, A., Prouskas, K., Barria, J., Pitt, J. (2000). IN Load Control Using a Competitive Market-Based Multi-agent System. In: Delgado, J., Stamoulis, G.D., Mullery, A., Prevedourou, D., Start, K. (eds) Telecommunications and IT Convergence Towards Service E-volution. IS&N 2000. Lecture Notes in Computer Science, vol 1774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46525-1_17
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DOI: https://doi.org/10.1007/3-540-46525-1_17
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