Parameter Estimations in a Model Imitating a Network Admission System with Self-Similar Arrival Streams

Arrival traffic control allows one to improve network performance. Recently, access control schemes based on traffic parameter measurements became popular. In this paper, we consider the prob- lem of artificial traffic analysis in the presence of self-similarity and compute the corresponding statis- tical characteristics, such as the autocorrelation function and the spectral density. These functions can be used for optimization of the arrival stream measurement frequency in a measurement-based access control scheme