Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Traffic Engineering with MPLS
Optimal policy for label switched path setup in MPLS Networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Bidders' strategy for multi-attribute sequential english auction with a deadline
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An Extended Multi-Agent Negotiation Protocol
Autonomous Agents and Multi-Agent Systems
When to Apply the Fifth Commandment: The Effects of Parenting on Genetic and Learning Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Cooperative information sharing to improve distributed learning in multi-agent systems
Journal of Artificial Intelligence Research
Predictions for the core of the network
IEEE Internet Computing
MPLS and traffic engineering in IP networks
IEEE Communications Magazine
MPLS: the magic behind the myths [multiprotocol label switching]
IEEE Communications Magazine
Traffic engineering with MPLS in the Internet
IEEE Network: The Magazine of Global Internetworking
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The combination between DiffServ (Differentiated Services) and Multi-Protocol Label Switching (MPLS) presents a very attractive strategy to backbone network service providers. It provides scalable QoS and traffic engineering capabilities. However, the management of such a network is not a simple function and could not be done manually. In fact, it would be much more economic and effective to automatically manage networks. In this paper, we discuss the essential characteristics needed to build an autonomic network. We also propose a novel architecture based on Multi-Agent Systems (MAS) in order to automatically manage an MPLS-DiffServ TE domain. Simulation results are provided to illustrate the efficiency of our proposition.