Between Packets and Predictions: Analyzing the Overhead of In-Network Machine Learning in Programmable Switches

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Repository structure

The repository is structured as follows:

• ansible - playbook files for configuring each VM.
• scenarios - scenario specific configuration. Each scenario includes an Ansible playbook for configuration, a startup script, and an optional server script.

Running the Experiment

Pre-requisites

• Vagrant
• Oracle VirtualBox
• Python 3.9

Instalation

1. Clone the repository

git clone https://github.com/ifpb/In-NetworkML.git
cd In-NetworkML

2. Create a virtual environment (recommended)

python3 -m venv .venv
source .venv/bin/activate

3. Install pip dependencies

pip install -r requirements.txt