Fuzzy logic based modelling and analysis of network traffic

Accurate computer network traffic models are required for many network tasks such as network traffic analysis and performance optimization. Existing statistical traffic modelling techniques rely on precise mathematical analysis of extensive measured data such as packet arrival time, packet size and server-side or client-side round trip time. With the advent of high speed broadband networks, gathering an acceptable quantity of data needed for the precise representation of traffic is a difficult, time consuming, expensive and in some cases almost an impossible task. In this work we developed a fuzzy logic based traffic models using imprecise data sets that can be obtained realistically. The model include a parameter, the R parameter, which is also useful for analysis of network traffic.