Application of Proxels to Queuing Simulation.
Claudia Krull, Graham Horton · 2007
Queuing theory strives to provide analytical solutions to a number of queuing problems. Unfortunately, closed analytical expressions can not be derived for every type of queuing system. Discrete event simulation on the other hand can find solutions to any kind of queuing problem, but the results are stochastic and only specific to a single parameterization. Proxel simulation can bridge the gap between these two methods by providing accurate deterministic results of the performance measures of a wide range of queuing systems. Furthermore one can solve some stiff problems far more quickly than when using discrete event simulation. The paper presents the general approach and a tool implementing the Proxel-based simulation of queuing systems. Experiments validate the method and show the range of applicability. 1