The Long-Range Prediction of IP Traffic Based on Genetic Programming
Cao Yang · Chinese Journal of Computers · 2003
To improve the automation, intelligence and precision of IP network traffic prediction, this paper proposes a genetic programming (GP)-based modeling algorithm to predict the long-range prediction of IP network traffic. This paper first gives the definition of GP, then focuses on GP individuals’ description structure, design flow chart of GP evolutional algorithm, get data sample acquization, and GP evolutional modeling and experiment respectively. By experimenting on Web traffic where GP is employed to optimize the model structure, we get two vigorous traffic prediction models. It is shown that the prediction curves of the models fit the original data’s curve very well, which explains that modeling on the basis of GP is valid and can reflect the change law of IP network traffic.