Unforeseen SILLY Errors in Network Simulations and Visualizations

Accurate network simulations are essential for meaningful research. Factors like incorrect parameterization, unsuitable KPIs, or overlooking key aspects in design and modeling may result in misleading conclusions, time- and resource-waste. In this paper, we share our genuine experiences from working with bachelor’s, master’s and PhD students, with the focus on three scenarios where distinct simulation errors commonly occur. The first two scenarios highlight cases of unjustifiable results, leading to investigations that uncovered "silly errors" in randomization and visualization. The third scenario, though properly modeled, failed to capture the overall picture needed to reflect real-world outcomes. By sharing these lessons learned across experience levels using packet level network simulations, we aim to help students and researchers achieve more credible results while saving valuable time.