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Solving a Queueing Model with Mathematica
Volume 1, Issue 3
Winter 1991
Arnold O. Allen and Gary Hynes, Hewlett-Packard
Queueing theory is a useful discipline for modeling computer systems,
and mean-value analysis (MVA) is one of its most powerful tools. We present
two network models for computer systems, together with algorithms to solve
them. We show how certain features of Mathematica, such as functional
and rule-based programming and the ability to set up a database with symbolic
indices, make the implementation of the exact MVA algorithm for closed,
multiclass queueing networks much easier than it is in traditional programming
languages.
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