Together with the nonlinear time series analysis and the giant data samples authorized by CAIDA

the chaotic character of network delay time series indicates that its evolvement process existed chaotic identity.Then

we proposed a revised Logistic model with sine and cosine functions to describe the evolvement state of network delay.Moreover

particle swarm optimization (PSO) algorithm is adopted for the parameters estimation of the revised model

which is evaluated from the perspective of convergence

fitting accuracy and forecast accuracy.The result reviews that the structure of the optimized model is reasonable

and reflects the movement of network delay accurately.