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dc.date.accessioned 2012-11-14T12:56:49Z
dc.date.available 2012-11-14T12:56:49Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24137
dc.description.abstract 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 en
dc.language en es
dc.subject Intelligent agents es
dc.subject Architectures es
dc.subject Multiagent systems es
dc.title Agent-based self-management of MPLS DiffServ-TE domain en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34825-5 es
sedici.creator.person Gaiti, Dominique es
sedici.creator.person Rahim-Amoud, Rana es
sedici.creator.person Merghem-Boulahia, Leila es
sedici.description.note 5th IFIP International Conference on Network Control & Engineering for QoS, Security and Mobility es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)