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Simulation is widely adopted in the study of modern computer networks. Inthis context, OMNeT++ provides a set of very effective tools that span from thedefinition of the network, to the automation of simulation execution and quickresult representation. However, as network models become more and more complexto cope with the evolution of network systems, the amount of simulationfactors, the number of simulated nodes and the size of results growconsequently, leading to simulations with larger scale. In this work, weperform a critical analysis of the tools provided by OMNeT++ in case of suchlarge-scale simulations. We then propose a unified and flexible softwarearchitecture to support simulation automation.

Automating Large-Scale Simulation and Data Analysis with OMNeT++: Lession Learned and Future Perspectives