The envisioned solution consists in the creation of a python library that can start, manage and collect results from multiple simulation runs. In essence, the aim of this library is to make obtaining and organizing results from multiple ns-3 script executions straightforward: users will only need to worry about writing the desired simulation script and specifying the range of parameters they desire to run the script with. The framework will then optimize the execution of the needed simulation runs, store the results in a human-readable way and wrap them up in a data structure that can then be analyzed using numpy, MATLAB or similar tooling.

Student

Davide Magrin

Mentors

  • Dizhi Zhou
close

2018