Abstract
The increasing number of competitors and the growing traffic demand are the main factors pushing for a more dynamic and flexible service demand allocation mechanism. Software tools are becoming fundamental for supporting human decisions and/or for reducing the need of human intervention. Agent technology promises support for pro-active and autonomous network control that would enable the automation of many network provider tasks. In order to prove the feasibility of such automation, a multi-agent simulator for the allocation of service demands has been developed. This paper describes the simulator and aims to give a useful feedback for agent developers.
Chapter PDF
Similar content being viewed by others
References
Bleakley, C., Donnelly, W., Lindgren, A., Vuorela, H.: TMN specifications to support inter-domain exchange of accounting, billing and charging information. In: Besson, M., Gobbi, R., Reed, R., Campolargo, M., Mullery, A. (eds.) IS&N 1997. LNCS, vol. 1238. Springer, Heidelberg (1997)
Calisti, M., Faltings, B.: A multi-agent paradigm for the Inter-domain Demand Allocation process. In: DSOM 1999, Tenth IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (1999)
Chandy, K.M., Lamport, L.: Distributed snapshots: Determining global states of distributed systems. TOCS 3(1), 63–75 (1985)
Chen, S., Nahrstedt, K.: An Overview of Quality of Service Routing for Next-Generation High-Speed Networks: Problems and Solutions. IEEE Network, 64–79 (November/December 1998)
Finin, T., et al.: Specification of the KQML Agent-Communication Language — plus example agent policies and architectures (1993)
Fipa. Fipa spec. 97 v2.0. Foundation for Intelligent Physical Agents (1997)
Foundation for Intelligent Physical Agents. FIPA Specifications (October 1997), http://www.fipa.org/spec/
Hayzelden, A.L.G., Bigham, J. (eds.): Software Agents for Future Communication Systems: Agent Based Digital Communication. Springer, Berlin (1999)
Karali, D., Karayannis, F., Berdekas, K., Reilly, J.: Qos based multi-domain routing in public broadband networks. In: Campolargo, M., Mullery, A. (eds.) IS&N 1998. LNCS, vol. 1430, pp. 3–16. Springer, Heidelberg (1998)
MĂ¼ller, J.P.: The Design of Intelligent Agents. LNCS, vol. 1177. Springer, Heidelberg (1996)
Tsang, E.: Foundations of Constraint Satisfaction. Academic Press, London (1993)
Willmott, S.N., Faltings, B.: Active Organisations for Routing. In: Covaci, S. (ed.) IWAN 1999. LNCS, vol. 1653, pp. 262–273. Springer, Heidelberg (1999)
Wooldridge, M., Jennings, N.R.: Intelligent agents: Theory and practice. The Knowledge Engineering Review 10(2), 115–152 (1995)
Yokoo, M., Durfee, E.H., Ishida, T., Kuwabara, K.: Distributed Constraint Satisfaction for Formalising Distributed Problem Solving. In: Proceedings 12th IEEE International Conference on Distributed Computing Systems, pp. 614–621 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Calisti, M., Faltings, B. (2000). Automated Allocation of Multi-provider Service Demands. In: Linnhoff-Popien, C., Hegering, HG. (eds) Trends in Distributed Systems: Towards a Universal Service Market. USM 2000. Lecture Notes in Computer Science, vol 1890. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10722515_12
Download citation
DOI: https://doi.org/10.1007/10722515_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41024-9
Online ISBN: 978-3-540-45272-0
eBook Packages: Springer Book Archive