Abstract
A number of different coordination models for dynamic resource allocation are proposed. The models are based on an asynchronous and distributed approach which makes use of mobile agents to distribute the resources of the providers between the consumers. Each provider has a broker, i.e., the mobile agent, that continually visits all or a subset of the consumers, offering the resources currently available at the corresponding provider. The models are increasingly complex, starting with a rather simple static mechanism, and ending with a sophisticated solution that balance the allocations both from the consumer and the provider perspective. Finally, an evaluation of the models in a realistic Intelligent Network domain is presented.
This is a preview of subscription content, log in via an institution to check access.
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
Å. Arvidsson, B. Jennings, L. Angelin, and M. Svensson. On the use of agent technology for IN load control. In 16th International Teletraffic Congress. Elsevier Science, 1999.
A.W. Berger. Comparison of call gapping and percent blocking for overload control in distributed switching systems and telecommunication networks. IEEE Trans. Commun., 39:574–580, 1991.
A.W. Berger. Performance analysis of a rate-control throttle where tokens and jobs queue. IEEE J. Select. Areas Commun., 9:165–170, 1991.
B. Carlsson, P. Davidsson, S.J. Johansson, and M. Ohlin. Using mobile agents for IN load control. In Proc. of Intelligent Networks’ 2000. IEEE, 2000.
A. Chavez, A. Moukas, and P. Maes. Challenger: a multi-agent system for distributed resource allocation. In Proceedings of Autonomous Agents’ 97. ACM, 1997.
S.H. Clearwater, editor. Market-Based Control: Some early lessons. World Scientific, 1996.
P. Harriott. Process Control. McGraw-Hill, New York, 1964.
S.J. Johansson. Game theory and agents. licentiate thesis, November 1999. Dept. of Software Engineering and Computer Science, University of Karlskrona/Ronneby.
G. Karagiannis, V.F Nicola, and I.G.M.M. Niemegeers. Quantitative evaluation of scalability in broadband intelligent networks. In Körner and Nilsson, editors, Performance of Information and Communication Systems, pages 65–82. Chapman & Hall, 1998.
T. Kimura and T. Asaka. Leaky-bucket-with-gate algorithm for connection setup congestion control in multi-media networks. IEICE Trans. Commun., E80-B(3):448–455, March 1997.
T. Magedanz and R. Popescu-Zeletin. Intelligent Networks. International Thomson Computer Press, 1996.
M.P. Wellman. Market-based control: A paradigm for distributed resource allocation. In S. Clearwater, editor, Market-Oriented Programming: Some early lessons, chapter 4. World Scientific, 1996.
F. Ygge. Market-Oriented Programming and its Application to Power Load Management. PhD thesis, Lund University, Sweden, 1998.
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
Johansson, S., Davidsson, P., Carlsson, B. (2000). Coordination Models for Dynamic Resource Allocation. In: Porto, A., Roman, GC. (eds) Coordination Languages and Models. COORDINATION 2000. Lecture Notes in Computer Science, vol 1906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45263-X_12
Download citation
DOI: https://doi.org/10.1007/3-540-45263-X_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41020-1
Online ISBN: 978-3-540-45263-8
eBook Packages: Springer Book Archive