Study Of IP Network Traffic Characteristic Analysis And Measurement Technique

Internet is becoming the important part of our lives and economy activity. It is necessary that it needs a credible and dependable method and technology to guard and sustain whether the network runs safely and steadily. For this reason, network measurement method and technology was supposed, and it is very important that we find the correct work and behavior of network timely. At the same time, network measurement method and technology takes a proposing and consulting role of planning the network system, redesigning the network performance and providing the different service for different network customers.In this paper, firstly, we will make analysis of network traffic characteristics and behavior. When modeling the network traffic characteristics, many papers make the model of the network traffic on the basis that distribution of network traffic is Poisson distribution or of the Markov Chains. We will first emphasize on the analysis of the network traffic here. We also know that network traffic acts as self-similarly characteristics since the distribution of the traffic is a heavy-tailed distribution. Here we will also analyze the reason that the network traffic acts as self-similarly characteristics. Through the result of analysis on the ClarkNet-HTTP traffic aggregate and Calgary-HTTP traffic aggregate, it shows that the network traffic characteristics acts as self-similarly and self-similarly characteristics depends on file size, the time interval of knocking the keyboard, burst size, and burst time length, not depends on whether network traffic is on active state.Secondly, according to the result of the network traffic characteristics analysis, we will consult some current methods of network traffic sample and suppose two new network traffic sample methods: a network flow data sampling method based on history memory and a measurement and analysis of network flow characterization based on aggregated Time-serial. Through the change characteristics of current network traffic, they are both supposed on based of the traffic change characteristics with history memory and the same change characteristics within same space-time serial aggregate. According to result of the experiment, the two network traffic sampling methods supposed in this paper can do better in comparison to the current methods of network traffic sample on performance and reduce the network traffic sample amount.