Main > Reference Manual > Unit tests > TestScalability2
In this test a model is created based on parametrizable values of:
- Number of clusters.
- Number of demands per cluster.
- Depth of the supply chain, i.e. number of levels.
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
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.