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  4. Unforeseen silly errors in network simulations and visualizations
 
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Unforeseen silly errors in network simulations and visualizations

Publikationstyp
Conference Paper
Date Issued
2025-03
Sprache
English
Author(s)
Kuladinithi, Koojana  orcid-logo
Kommunikationsnetze E-4  
Shudrenko, Yevhenii  orcid-logo
Kommunikationsnetze E-4  
Makama, Aliyu 
Kommunikationsnetze E-4  
Fisser, Leonard  orcid-logo
Timm-Giel, Andreas  orcid-logo
Kommunikationsnetze E-4  
TORE-URI
https://hdl.handle.net/11420/57035
Start Page
325
End Page
330
Citation
IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2025
Contribution to Conference
IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2025  
Publisher DOI
10.1109/PerComWorkshops65533.2025.00086
Scopus ID
2-s2.0-105011479782
Publisher
IEEE
ISBN
979-8-3315-3553-7
979-8-3315-3554-4
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.
Subjects
expectations
KPIs
lessons learned
Network simulations
parameters
validation
DDC Class
600: Technology
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