How to run a simulation on your local pc (requires ubuntu. ~30 minutes to setup): create "projects" directory in your home directory by running e.g. "mkdir ~/projects" Clone this repository: [email protected]:Lassebk45/inet.git into ~/projects Clone our update component: [email protected]:knaD123/p10.git into ~/projects
Add the following two lines at the bottom of the file ~/.profile: [ -f "$HOME/projects/inet/omnetpp/setenv" ] && source "$HOME/projects/inet/omnetpp/setenv"
[ -f "$HOME/projects/inet/setenv" ] && source "$HOME/projects/inet/setenv"
Log out and in to your pc to make the changes take effect.
Change to the omnet directory: "cd ~/projects/omnetpp"
Try to run "./configure WITH_QTENV=no WITH_OSG=no". This might require some python packages to be installed. In that case run:
"sudo apt-get install build-essential clang lld gdb bison flex perl python3 python3-pip qtbase5-dev qtchooser qt5-qmake qtbase5-dev-tools libqt5opengl5-dev libxml2-dev zlib1g-dev doxygen graphviz libwebkit2gtk-4.0-37"
and
"python3 -m pip install --user --upgrade numpy pandas matplotlib scipy seaborn posix_ipc"
Run "./configure WITH_QTENV=no WITH_OSG=no" again and it should work. Otherwise consult: https://doc.omnetpp.org/omnetpp/InstallGuide.pdf
Run "make -j $(nproc)" to build omnet using all the available cores in your system (5-10 min).
cd to INET: "cd ~/projects/inet/"
Clean the makefiles: "make cleanall"
Generate new makefiles: "make makefiles"
Build INET: "make -j $(nproc)" (10-20 minutes)
Change dir to our update component: "cd ~/projects/p10"
Setup a virtual enviroment with the necessary python packages:
Make sure you can create a Python venv: "sudo apt install python3.10-venv " Then run:
"python3 -m venv venv"
"source venv/bin/activate"
"python3 -m pip install -r requirements.txt"
Now the necessary packets are installed.
We run an example simulation using the Bics topology, which is visualized in p10/utilities/figures/zoo_Bics.json.png.
We first run Spungeet (2 minutes):
"python3 main.py --topology pruned_topologies/zoo_Bics.json --demands pruned_temporal_demands/Bics_0000.yml --algorithm SPUNGEET --generate_package --update_interval 10 --write_interval 5 --scaler 25 --time_scale 0.01 --short_experiment --demand_scaler 1"
We then run the same experiment but with All Shortest Paths (1 minute):
"python3 main.py --topology pruned_topologies/zoo_Bics.json --demands pruned_temporal_demands/Bics_0000.yml --algorithm split_shortest_path --generate_package --update_interval 10 --write_interval 5 --scaler 25 --time_scale 0.01 --short_experiment --demand_scaler 1"
This outputs two json results files in the directory p10/results/Bics. By comparing these files we observe that:
Spungeet achieves 85.4% delivered packet rate by dropping 43969 out of 302628 packets due to congestion.
ASP achieves 82.1% delivered packet rate by dropping 54145 out of 302582 packets due to congestion.
Both algorithms reached a max link utilization of 100%.
[![badge 1][badge-1]][1] [![badge 2][badge-2]][2]
The INET framework is an open-source communication networks simulation package, written for the OMNEST/OMNeT++ simulation system. The INET framework contains models for numerous wired and wireless protocols, a detailed physical layer model, application models and more. See the CREDITS file for the names of people who have contributed to the INET Framework.
IMPORTANT: The INET Framework is continuously being improved: new parts are added, bugs are corrected, and so on. We cannot assert that any protocol implemented here will work fully according to the specifications. YOU ARE RESPONSIBLE YOURSELF FOR MAKING SURE THAT THE MODELS YOU USE IN YOUR SIMULATIONS WORK CORRECTLY, AND YOU'RE GETTING VALID RESULTS.
Contributions are highly welcome. You can make a difference!