Abstract
We present a market-based approach to call routing in telecommunications networks. A system architecture is described that allows self-interested agents, representing various network resources, potentially owned by different real world enterprises, to co-ordinate their resource allocation decisions without assuming a priori co-operation. It is argued that such an architecture has the potential to provide a distributed, robust and efficient means of traffic management. In particular, our architecture uses an adaptive pricing and inventory setting strategy, based on real bidding, to reduce call blocking in a simulated telecommunications network.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
S. Appleby & S. Steward, Mobile Software Agents for Control in Telecommunications Networks, BT Journal of Technology 12-2. (1994) pp 104–113
D. Bertsekas & M. Gallager, Data Networks, Prentice Hall International, Inc. (1987)
Cisco Systems Inc., A Primer for Implementing a Cisco Virtual Private Network (VPN), Cisco Systems Inc. (1999)
S. H. Clearwater, Market-Based Control A Paradigm for Distributed Resource Allocation, Ed. S. H. Clearwater, World Scientific Press. (1996)
M. A. Gibney & N. R. Jennings, Dynamic Resource Allocation by Market-Based Routing in Telecommunications Networks, in Proceedings of Intelligent Agents for Telecommunications Applications 1998, Springer Verlag. (1998) pp 102–117
G. Goldszmidt & Y. Yemini, Delegated Agents for Network Management, in IEEE Communications Magazine, March 1998, IEEE (1998) pp 66–70
A. Hayzelden & J. Bigham, A Heterogeneous Multi-Agent Architecture for ATM Virtual Path Network Resource Configuration, in Proceedings of Intelligent Agents for Telecommunications Applications 1998, Springer Verlag. (1998) pp 45–59
N. R. Jennings & M. R. Wooldridge, Agent Technology Foundations, Applications and Markets, Springer Verlag. (1998)
A. Kershenbaum, Telecommunications Network Design Algorithms, McGraw-Hill International Editions. (1993)
S. J. Russell & P. Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, Inc. (1995)
R. Schoonderwoerd, O. E. Holland, & J. Bruten, Ant-like agents for load balancing in telecommunications networks, in The First International Conference on Autonomous Agents, ACM Press. (1997)
W. Stallings, Data and Computer Communications, Prentice Hall International, Inc. (1997)
M. Schwartz & T. E. Stern, Routing Protocols, in Computer Network Architectures and Protocols (Second Ed.), Ed. C. A. Sunshine, Plenum Press, New York / London (1989)
H. R. Varian, Microeconomic Analysis (Third Ed.), W.W. Norton & Company Inc. (1992)
H. R. Varian, Mechanism Design for Computerised Agents, Proccedings of the 1995 Usenix Workshop on Electronic Commerce. (1995)
M. Wellman, Market Oriented Programming: Some Early Lessons, in Market-Based Control a Paradigm for Distributed Resource Allocation, Ed. S. H. Clearwater, World Scientific Press. (1996) pp 74–95
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gibney, M.A., Jennings, N.R., Vriend, N.J., Griffiths, J.M. (1999). Market-Based Call Routing in Telecommunications Networks Using Adaptive Pricing and Real Bidding. In: Albayrak, S. (eds) Intelligent Agents for Telecommunication Applications. IATA 1999. Lecture Notes in Computer Science(), vol 1699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48165-6_4
Download citation
DOI: https://doi.org/10.1007/3-540-48165-6_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66539-7
Online ISBN: 978-3-540-48165-2
eBook Packages: Springer Book Archive