Modeling service distributions in queueing network simulation
Article Abstract:
The importance of accurate models for the input processes of simulation is generally recognized. However, the dependencies between the input processes have, at least in queueing network simulation, been paid little attention. In this paper, we consider modeling the joint distribution of the input processes required in queueing network simulation. Particularly, we propose a method for modeling the dependencies between service demands. In addition, we propose a method for dividing the service demand into service times per visit. These methods are important in simulation modeling of a computer system when accounting files provide the identification data. The experiments reported indicate that the proposed methods produce accurate estimates for quantiles of the system response-time distribution. (Reprinted by permission from the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1992
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A simple approximation for the simulation of continuous random variables
Article Abstract:
A simple technique is described for simulation and analytical studies where the indication is of a unimodal, right-skewed distribution of a continuous random variable, the type of distribution often approximated by a gamma distribution. The technique is more realistic and more general than the 'simple' techniques described in the simulation literature in that it does not require integer parameters. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1987
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