Coal mine for the current trend of increasing network traffic monitoring

in order to improve and enhance the quality of the network QoS

we propose a chaotic time series prediction based on the network traffic.From the phase space reconstruction

with the mutual information and false near the point of law determined by the delay time and embedding dimension

with a small amount of data the maximum Lyapunov index method

which proved that the chaotic time series of network traffic characteristics

and the establishment of The corresponding model

successfully made its forecast.Simulation results show that the method has high accuracy.