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<p><a class='wikilink' href='../Main/HomePage.html'>Main</a> &gt; <span class='wikitrail'><a class='wikilink' href='Main.html'>Reference Manual</a> > <a class='wikilink' href='Test.html'>Unit tests</a> > <a class='selflink' href='TestScalability2.html'>TestScalability2</a></span>
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<p class='vspace'>In this test a model is created based on parametrizable values of:
</p><ul><li>Number of clusters.
</li><li>Number of demands per cluster.
</li><li>Depth of the supply chain, i.e. number of levels. 
</li></ul><p class='vspace'>Comparing the runtime with different values of these parameters allows to gain a better understanding of the factors that are impacting memory and runtime most significantly
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<p class='vspace'>The algorithms scale linearly with the model size, while the mayor underlying data structures are binary trees which scale logarithmically with the model size... The result is a runtime that combines both. It depends on the data set, the platform and the compiler how your model will scale. 
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