Performance of the Queueing Network Analyzer

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Abstract
This paper describes the performance of the Queueing Network Analyzer (QNA), a software package developed at Bell Laboratories to calculate approximate congestion measures for networks of queues. QNA is compared with simulations and other approximations of several open networks of single-server queues. This paper illustrates how to apply QNA and indicates the quality that can be expected from the approximations. The examples here demonstrate the importance of the variability parameters used in QNA to describe non-Poisson arrival processes and nonexponential service-time distributions. For these examples, QNA performs much better than the standard Markovian algorithm, which does not use variability parameters. The accuracy of the QNA results (e.g., the expected delays) in these examples is satisfactory for engineering purposes.

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