The application of analytical queuing theory results in behaviour analysis of a distributed computer network or mobile data system (data transport network). It belongs to the preferred method in comparison to the simulation method. The use of analytical methods allows us to calculate eectively various values of parameters in equilibrium, including the total input intensity of data units to every node of transport network even for the more realistic models than the M/M/1 systems. However, these results are derived assuming an inยฎnite buer in size at a given node. For practical application, we need to project the concrete number of buers in every node. This paper describes the method of buer management control for each decomposed network's node of a data transport network in two real cases. For this purpose, the linear dependence between buer memory size and input queue size at each node of a data transport network was used.
For these two real statistical distributions of incoming data units closed expressions are derived, enabling to calculate the required queue size for both queue size limitation methods (assumption of the unlimited and limited queue sizes). For practical use, a very ecient way of computing queue overยฏow probabilities was developed.