XR-Traffic-Model

Installation

python 3.6.9 or above is needed

get the code

git clone https://github.com/haudiobe/XR-Traffic-Model.git
git checkout dev 
cd ./XR-Traffic-Model

create a virtual python environment

python3 -m venv ./myvenv

activate the virtual env

Windows/OSX: look up inside the ./myvenv directory for the relevant activation script.

./myvenv/bin/activate 

install dependencies the dependencies

(myvenv) pip install -r ./requirements.txt

Usage

The input/output filenames are prefixed automatically with user ids. Currently, you must run these commands once per user.

Generate S-Trace from V-Trace for user id #3

(myvenv) python ./xrtm_encoder.py -c ./samples/encoder.cfg.json --user_id 3

outputs :

• ./samples_results/S-Trace[3].csv S-Trace file for all buffers
• ./samples_results/S-Trace[3].frames/ directory containing all traces

Generate P-Trace from S-Trace

(myvenv) python ./xrtm_packetizer.py -c ./samples/packetizer.cfg.json --user_id 3

outputs :

• ./samples_results/P-Trace[3].csv P-Trace file for all buffers