论文信息 - A Methodology of Traffic Engineering to IP Backbone

A Methodology of Traffic Engineering to IP Backbone

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.

Paulo Roberto Freire Cunha | José Everardo Bessa Maia | Arnoldo N. da Silva | Jorge L. C. Silva

[1] Miguel Rio,et al. Internet Traffic Forecasting using Neural Networks , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

[2] Christophe Diot,et al. Traffic matrix estimation: existing techniques and new directions , 2002, SIGCOMM 2002.

[3] Jun Lv,et al. Network Traffic Prediction Algorithm and its Practical Application in real network , 2007, 2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007).

[4] Anders Gunnar,et al. Performance of Traffic Engineering in Operational IP Networks - An Experimental Study , 2005, IPOM.

[5] Steve Uhlig,et al. Providing public intradomain traffic matrices to the research community , 2006, CCRV.

[6] Guilherme De A. Barreto,et al. Time Series Prediction with the Self-Organizing Map: A Review , 2007, Perspectives of Neural-Symbolic Integration.

[7] Thomas Magedanz,et al. Operations and Management in IP-Based Networks, 5th IEEE International Workshop on IP Operations and Management, IPOM 2005, Barcelona, Spain, October 26-28, 2005, Proceedings , 2005, IPOM.

[8] Konstantina Papagiannaki,et al. Structural analysis of network traffic flows , 2004, SIGMETRICS '04/Performance '04.

[9] Jean-Sébastien Bedo,et al. Internet Traffic Mid-term Forecasting: A Pragmatic Approach Using Statistical Analysis Tools , 2006, Networking.