The application of analytical queuing theory results in behaviour analysis
of a distributed computer network or mobile data system (data transport net
work). It belongs to the preferred method in comparison to the simulation m
ethod. The use of analytical methods allows us to calculate effectively var
ious values of parameters in equilibrium, including the total input intensi
ty of data units to every node of transport network even for the more reali
stic models than the M/M/1 systems. However, these results are derived assu
ming an infinite buffer in size at a given node. For practical application,
we need to project the concrete number of buffers in every node. This pape
r describes the method of buffer management control for each decomposed net
work's node of a data transport network in two real cases. For this purpose
, the linear dependence between buffer 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 efficient way of computing queue o
verflow probabilities was developed. (C) 2001 Elsevier Science B.V. All rig
hts reserved.