Semi-Markov Network Traffic Model Based on Pareto Distribution

Abstract

The establishment of the network traffic model has an important significance on the research of network. On the basis of existing researches, this paper proposes the improved Semi-Markov network traffic model, and re-divides the state of network traffic into idle state, normal state and busy state, and also researches the busy state of network traffic by the use of Pareto distribution, and later researches the state transition relation of Semi-Markov process on this basis. The experimental results show that the characteristics of the network traffic under the busy state can be well in line with the nature of Pareto distribution, and the network bandwidth utilization calculated in this way is also consistent with the actual situation, so that the model established in this paper can well describe the characteristics of network traffic.