Title
An optimisation model for traffic distribution forecasting in packet-switching networks
Document Type
Article
Publication Date
8-2-2010
DOI
https://doi.org/10.1504/IJMOR.2010.034339
Abstract
Traffic distribution forecasting is an essential step in network planning for packet-switching networks. It is frequently necessary to forecast and develop an optimal network configuration to meet the requirements of new traffic demands or changes in the existing demands. Several methods have been developed to forecast network configurations. While these studies have revealed some interesting traffic characteristics, little progress has been made in developing good models for the purpose of traffic engineering and performance prediction. We propose a novel multi-objective optimisation model for traffic distribution forecasting in packet-switching networks by mapping these networks into multi-commodity networks. Initially, the radial basis function (RBF) network is used to monitor and learn the current real-traffic distribution. Next, a quadratic model is used to calibrate these functions for a precise traffic distribution. The proposed multi-objective optimisation method can effectively and efficiently forecast the traffic distribution of packet-switching networks in both crisp and fuzzy environments. A numerical example is presented to demonstrate the application and effectiveness of this model.
Language
English
Recommended Citation
Zandi, Faramak and Tavana, Madjid, "An optimisation model for traffic distribution forecasting in packet-switching networks" (2010). Business Systems and Analytics Faculty Work. 294.
https://digitalcommons.lasalle.edu/bsa_faculty/294
Comments
Zandi, F. and Tavana, M. (2010) ‘An Optimisation Model for Traffic Distribution Forecasting in Packet-Switching Networks,’ International Journal of Mathematics in Operational Research, Vol. 2, No. 5, pp. 515-539.