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Book 2 Advanced Research in Artificial Intelligence >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1028

Title: Study of the Application of Neural Networks in Internet Traffic Engineering
Authors: Piedra, Nelson
Chicaiza, Janneth
López, Jorge
García, Jesús
Keywords: Traffic Engineering
Artificial Neural Networks
Internet Traffic Engineering
Computer Networks
Communications Management
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: In this study, we showed various approachs implemented in Artificial Neural Networks for network resources management and Internet congestion control. Through a training process, Neural Networks can determine nonlinear relationships in a data set by associating the corresponding outputs to input patterns. Therefore, the application of these networks to Traffic Engineering can help achieve its general objective: “intelligent” agents or systems capable of adapting dataflow according to available resources. In this article, we analyze the opportunity and feasibility to apply Artificial Neural Networks to a number of tasks related to Traffic Engineering. In previous sections, we present the basics of each one of these disciplines, which are associated to Artificial Intelligence and Computer Networks respectively.
URI: http://hdl.handle.net/10525/1028
ISSN: 1313-0455
Appears in Collections:Book 2 Advanced Research in Artificial Intelligence

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