Network Traffic Modeling and Forecasting Based on Time Series Analysis;

Characteristics Analysis and Performance Evaluation of Network Traffic;

An algorithm of classifying network traffic based on ensemble neural networks is proposed in this pa- per.

Research and Realization of Telecom Service Network and Platform;

The operators must redesign their operation strategy,business model,operation paths and even the service network and the organization.

A great deal of research on telecommunication network indicate that the network traffic is self-similar in essentially(represents long range dependence on correlation function).

In this paper, we propose a new multifractal wavelet model for the increasing network traffic and video traffic on the Internet.

With the rapid development of the Internet, modeling and control of network traffic become more and more important.

Research development of self-similarity nature of network traffic is reviewed,and a deep analysis of the reasons of its existing is made.

These characteristics are in sharp contrast to what one observes in the traditional models for network traffic, models that are based on an exponentially fast decaying correlation function, implying that time-aggregation time series quickly results in white noise traffic characterized.