Characteristics of the token bucket parameters with self similar network traffic

We investigate the influence of self similarity features of the input traffic on the performance of some QoS mechanisms. We model the token bucket of input traffic characteristics on the queue distribution of FBM (Fractional Brown Motion) and find the low bound of token bucket mechanism, at input traffic with the self similarity (Long range dependent). The result is token bucket parameter how to dependent the degree of the self similarity of the traffic.