Abstract
It is essential for the network operator to anticipate events leading to network node and link capacity breakdown in order to guarantee the Quality of Service (QoS) contract. Traffic prediction can be undertaken based on link traffic (aggregate), or on origin-destination (OD) traffic that presents better results. This work investigates a methodology for traffic engineering based on multidimensional OD traffic, focusing on the stage of short-term traffic prediction using Principal Components Analysis and a Local Linear Model. The results validated with data on a real network present a satisfactory margin of error for its adoption in practical situations. © 2009 Springer-Verlag.
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CITATION STYLE
Bessa Maia, J. E., Da Silva, A. N., Silva, J. L. C., & Cunha, P. R. F. (2009). A methodology of traffic engineering to IP backbone. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5843 LNCS, pp. 173–179). https://doi.org/10.1007/978-3-642-04968-2_16
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