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IntelliDyLBA: Um Esquema de Balanceamento de Carga para Redes MPLS com Aprendizado Desassistido baseado em Lógica Difusa e Algoritmos Genéticos

Eduardo NobrePablo Rocha Ximenes PonteMarcial FernandezJoaquim Celestino Júnior

This paper describes a novel traffic engineering scheme based on a load balance reactive method for congestion control in MPLS networks that makes use of genetic algorithm based learning and fuzzy logic techniques. It is an improvement of the "Fuzzified Dynamic Load Balance Algorithm" (FuDyLBA) with the addition of auto-learning techniques. Computer simulation experiments have shown a better traffic distribution over the links of a network when compared to its predecessor, while showing intelligent adaptation to traffic and structural network changes.

http://www.lbd.dcc.ufmg.br:8080/colecoes/sbrc/2005/044.pdf

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Biblioteca Digital Brasileira de Computação - Contato: bdbcomp@lbd.dcc.ufmg.br
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