Research Paper and Motivation

This repository contains the code for implementing the algorithms and techniques in the research paper :

Net2Text : https://www.usenix.org/conference/nsdi18/presentation/birkner

Website : NSDI'18 submission of the Net2Text project.

Bridging the semantic gaps that separate low-level forwarding rules distributed across the entire network and actionable high-level insights by network operators. Bridging this gap manually is slow. We replicate Net2Text, an interactive system which assists the network operator in reasoning about network-wide forwarding state.

Out of the low-level forwarding state and a query expressed in natural language, Net2Text automatically produces succinct, natural language descriptions, which efficiently capture network-wide behaviour.

DEPENDENCIES

Python Packages: Flask, Pandas, jsonify, make_response, json,

Software

MySQL WorkBench

To run:

1. Convert a network file using gml2csv.py.
2. Create a Database in MySql and add the converted file as a table.
3. Run python3 app.py
4. Open a web browser and go to 127.0.0.1:5000/
5. Run a query

Work By

Tejas Arya(https://github.com/aryatejas2), Vaibhav Joshi(https://github.com/joshivaibhav), Ninad Godambe(https://github.com/NinadGodambe)