Agent-Based Self-Management of MPLS DiffServ-TE domain

MPLS DiffServ-TE presents the solution awaited so much by the network service providers by allowing a differentiation of services and a traffic engineering based on a fast packet switching technology. However, the management of such a network is not a simple function and could not be done manually. In this paper, we propose a novel architecture based on the Multi-Agent Systems (MAS) capable of managing automatically MPLS DiffServ-TE domains. Based on the network states, our intelligent agents take the appropriate decisions. They, for example, reconfigure the network accordingly.

[1]  Jaime Simão Sichman,et al.  MAS and Social Simulation: A Suitable Sommitment , 1998, MABS.

[2]  Tuomas Sandholm.  eMediator: A Next Generation Electronic Commerce Server , 2002, Comput. Intell..

[3]  Ram Krishnan,et al.  Multi-Protocol Label Switching (MPLS) Support of Differentiated Services , 2002, RFC.

[4]  Christophe Cambier,et al.  SIMULATING THE INTERACTION BETWEEN A SOCIETY AND A RENEWABLE RESOURCE , 1993 .

[5]  J. V. Rauff,et al.  Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence , 2005 .

[6]  David L. Black,et al.  An Architecture for Differentiated Service , 1998 .

[7]  Pattie Maes,et al.  Trafficopter: A Distributed Collection System for Traffic Information , 1998, CIA.

[8]  Lionel M. Ni,et al.  Traffic engineering with MPLS in the Internet , 2000, IEEE Netw..

[9]  Grenville Armitage,et al.  MPLS: the magic behind the myths , 2000 .

[10]  Grenville Armitage.  MPLS: the magic behind the myths [multiprotocol label switching] , 2000 .

[11]  Jeffrey D. Case,et al.  Simple Network Management Protocol (SNMP) , 1989, RFC.

[12]  Wai Sum Lai,et al.  Traffic engineering for MPLS , 2002, SPIE ITCom.

[13]  Samir Aknine,et al.  An Extended Multi-Agent Negotiation Protocol , 2004, Autonomous Agents and Multi-Agent Systems.

[14]  Murali S. Kodialam,et al.  Minimum interference routing with applications to MPLS traffic engineering , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[15]  Victor R. Lesser,et al.  Using cooperative mediation to coordinate traffic lights: a case study , 2005, AAMAS '05.

[16]  Arup Acharya,et al.  Overview of IP Multicast in a Multi-Protocol Label Switching (MPLS) Environment , 2002, RFC.

[17]  Jacques Ferber,et al.  Multi-agent systems - an introduction to distributed artificial intelligence , 1999 .

[18]  Jim Doran,et al.  Agent-Based Modelling of Ecosystems for Sustainable Resource Management , 2001, EASSS.

[19]  Ian F. Akyildiz,et al.  Optimal policy for label switched path setup in MPLS networks , 2002, Comput. Networks.

[20]  Dominique Gaïti,et al.  Improvement of MPLS Performance by Implementation of a Multi-Agent System , 2005, INTELLCOMM.

[21]  Marshall T. Rose,et al.  Management Information Base for network management of TCP/IP-based internets , 1990, RFC.

[22]  D. O. Awduche,et al.  MPLS and traffic engineering in IP networks , 1999, IEEE Commun. Mag..

[23]  Keith McCloghrie,et al.  Management Information Base for network management of TCP/IP-based internets , 1990, RFC.

[24]  Zheng Wang,et al.  An Architecture for Differentiated Services , 1998, RFC.

[25]  Alexis Drogoul,et al.  How to Combine Reactivity and Anticipation: The Case of Conflicts Resolution in a Simulated Road Traffic , 2000, MABS.

[26]  Alain Pavé,et al.  INTERPRETATION OF POPULATION DYNAMICS MODELS BY USING SCHEMATIC REPRESENTATIONS , 1993 .

[27]  Eric C. Rosen,et al.  Multiprotocol Label Switching Architecture , 2001, RFC.

[28]  Daniel Awduche,et al.  Multi Protocol Label Switching , 2001 .

[29]  R. Callon.  Predictions for the core of the network , 2000 .

[30]  Jeffrey D. Case,et al.  Simple Network Management Protocol (SNMP) , 1990, RFC.

[31]  Alexis Drogoul,et al.  Agent-based interaction analysis of consumer behavior , 2002, AAMAS '02.