Abstract
Since several years, communication networks have known a surprising growth. The increased number of users, the consequent increase of traffic, and the request for new services involve the development of new technologies and the deployment of high throughput networks. Networking technology has correspondingly grown to meet the diverse needs of applications and network administration. In response to the complexity of communication networks, simulation was and remains the only way to evaluate network performance. Unfortunately, traditional simulation methods are not adapted to all networks such as networks with quality of service and networks with dynamic aspect. To overcome this limitation, a new method to simulate dynamic networks based on multi-agents simulation and behavioral approach had been proposed. In this paper, we present an adaptive approach to schedule real-time network traffic using the agent based simulation concept. The paper introduces an adaptive real-time agent scheduler (ARTAS) architecture and agent model as basis for scheduling real-time packet networks.
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References
Abeck, S., Koppel, A., Seitz, J.: A Management Architecture for Multi-Agent Systems. In: Proceedings of the 3rd IEEE International Workshop on Systems Management, pp. 133–138. IEEE Computer Society Press, Los Alamitos (1998)
DiPippo, L.C., Wolfe, V.F.: A Real-Time Multi-Agent System Architecture for E-Commerce Applications. In: Proceedings of the 5th IEEE International Symposium on Autonomous Decentralized Systems, pp. 357–364. IEEE Computer Society Press, Los Alamitos (2001)
Drogoul, A., Vanbergue, D., Meuisse, T.: Multi-Agent Based Simulation: Where are the Agents? In: The 3rd International Workshop on Multi-Agent Based Simulation. LNCS, vol. 258, pp. 1–15. Springer, Heidelberg (2002)
Gelenbe, E., Seref, E., Xu, Z.: Simulation with Learning Agents. Proceedings of the IEEE 89(2), 148–157 (2001)
Uhrmacher, A.M., Gugler, K.: Distributed, Parallel Simulation of Multiple, Deliberative Agents. In: Proceedings of the 14th IEEE Workshop on Parallel and Distributed Simulation, pp. 101–108. IEEE Computer Society Press, Los Alamitos (2000)
Wooldridge, M., Jennings, N.R.: Intelligent Agents: Theory and Practice. Knowledge Engineering Review 10, 115–152 (1995)
Bradshaw, J.: Software Agents. AAAI Press, Menlo Park, CA (1997)
Jennings, N.R., Wooldridge, M.: Applications of Intelligent Agents, pp. 3–28. Springer, New York (1998)
Logan, B., Theodoropoulos, G.: The Distributed Simulation of MultiagentSystems. Proceedings of The IEEE 89(2), 174–185 (2001)
Srinivasan, A.: Efficient and Flexible Fair Scheduling of Real-time Tasks on Multiprocessors. Chapel Hill (2003)
Zhang, H., Ferrari, D.: Rate-Controlled Service Disciplines. Journal of High Speed Networks 3(4), 389–412 (1994)
Lu, C., Stankovic, J.A., Tao, G., Son, S.H.: Feedback Control Real-time Scheduling: Framework, Modeling and Algorithms. Special issue of Real-Time Systems Journal on Control-Theoretic Approaches to Real-Time Computing 23(1/2), 85–126 (2002)
Brooks, R.A.: A Robust Layered Control System for a Mobile Agent. The IEEE Journal of Robotics Automation Management 2(1), 14–23 (1986)
Ferguson, I.A.: Toward An Architecture for Adaptive, Rational, Mobile Agents. In: Proceedings of the Third European Workshop on Modeling Autonomous Agents and Multi-agent Worlds, pp. 249–262 (1992)
Kaelbling, L.P.: An Architecture for Intelligent Reactive Systems, pp. 713–728. Morgan Kaufmann, San Mateo (1990)
Muller, J.P., Pischel, M.: An Architecture for Dynamically Interacting Agents. International Journal Int. Coop. Information Systems 3(1), 25–45 (1994)
Booch, G.: Object-Oriented Design with Applications. Benjamin/ Cummings, Redwood City, CA (1994)
Sarjoughian, H.S., Zeigler, B.P., Hall, S.B.: A Layered Modeling and Simulation Architecture for Agent-Based System Development. Proceedings of the IEEE 89(2), 201–213 (2001)
Saleh, M., Othman, Z.A.: Hierarchical Diff-EDF: An Agent Based Scheduler for Heterogeneous Real-Time Packet Networks. To be appeared in the proceedings of the 6th EUROSIM Congress (to appear, 2007)
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Saleh, M., Othman, Z.A. (2007). Adaptive Scheduling for Real-Time Network Traffic Using Agent-Based Simulation. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74484-9_22
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DOI: https://doi.org/10.1007/978-3-540-74484-9_22
Publisher Name: Springer, Berlin, Heidelberg
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