A Novel Method for Predicting Network Traffic Based on Maximum Entropy Principle

The network of application service is becoming more and more increasingly complex, with the development of network communication technology, which puts forward higher requirements on network behavior characteristics, the network management and traffic control, therefore, network traffic analysis and prediction is more and more important significance. This paper presents a novel network traffic prediction model, which is based on maximum entropy algorithm. The simulation results show that the algorithm proposed in this paper has higher prediction accuracy than the traditional methods, and improves the prediction accuracy of network traffic.