Probability estimate of the queue length of the most preferred demands in operational systems

The paper proposes a probabilistic estimate for the queue length of most preferred accesses in operational system. The dependence of this estimate on the number of features describing the accesses and the number of estimate levels for each of these. Varying the number of features and estimatt levels regulates the queue length of most preferred accesses.