A Study Based on Self-Similar Network Traffic Model

The traffic model is the core foundation of traffic prediction and network performance evaluation. In order to accurately predict traffic conditions, good flow model must be able to accurately describe the characteristics of the actual flow of the network. With the ever-increasing network business types, the business flow characteristics in actual network is more and more complex, characterized by long-range dependence and self-similarity and so on. This paper mainly analyzes several self-similar models which have been widely used currently and has a certain guiding significance on the analysis and processing of self-similar business.