Abstract
Paralleling rapid advancement in the telecommunication network expansion is necessary for advanced network traffic management surveillance. The increasing number and variety of services being offered by networks have emphasized the demand for optimized load management strategies. The paper deals with regulation of a mobile agent moving toward service processing resource in the part of the agent network. We have constructed the agent architecture for the control of service processing load. The goals of the controlling system were both to protect the processing load and to predict the arrival rate of client’s requests. Self-adaptive property is implemented by reinforcement Q-learning. The analysis is based on experimentation through simulations.
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
Jevtic, D., Kunstic, M., Ouzecki, D.: The Effect of Alteration in Service Environments with Distributed Intelligent Agents. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3683, pp. 16–22. Springer, Heidelberg (2005)
Kusek, M., Lovrek, I., Sinkovic, V.: Agent Team Coordination in the Mobile Agent Network. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3681, pp. 240–246. Springer, Heidelberg (2005)
Jevtic, D., Kunstic, M., Jerkovic, N.: The Intelligent Agent-Based Control of Service Processing Capacity. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774, pp. 668–674. Springer, Heidelberg (2003)
Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-Dynamic Programming. Athena Scientific. MIT Press, Belmont, Massachusetts (1996)
Watkins, C.J.C.H., Dayan, P.: Q-learning. In: Machine Learning, vol. 8, pp. 55–68. Kluwer Academic Publishers, Dordrecht (1992)
Luck, M., d’Inverno, M.: A Conceptual Framework for Agent Definition and Development. The Computer Journal 44(1), 1–20 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jevtic, D., Kunstic, M., Matijasevic, S. (2006). Load Protection Model Based on Intelligent Agent Regulation. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_35
Download citation
DOI: https://doi.org/10.1007/11892960_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
eBook Packages: Computer ScienceComputer Science (R0)