Characterization of the cell flow using burst scale probability algorithm

The paper presents the analysis and results of traffic measurements in the 155 Mbit/s ATM backbone network. The traffic is described as an ordered sequence of real-time cells. We present an evaluation of cell flow characteristics in a real working ATM network, analysis of cell distribution based on experimental data, and analysis of cell distribution based on the Markov model. We also present another way to describe and check the cell flow in ATM networks by definition of the function Q(l,n), designed to be the probability of the burst of length l in n sequential slots.