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Code used for IFIP Networking 2019
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P-Rex @ 075dde8

DeepMPLS: Fast Analysis of MPLS Configurations Using Deep Learning

This repository contains part of the code used for the paper "DeepMPLS: Fast Analysis of MPLS Configurations Using Deep Learning" published at the IFIP Networking 2019 conference. For access to the dataset, please refer to the dataset repository. The tools currently only supports the query types specified in the DeepMPLS paper.


$ git clone --recursive
$ cd deepmpls
$ pip install -r P-Rex/requirements.txt

Example usage

The repository contains a simple command line utility for transforming MPLS networks to their graph representation. It uses the XML file format used by P-Rex for representing the topology and the MPLS configuration.


$ python <topo.xml> <routing.xml> '<a> b <c>' k


$ python P-Rex/test/test_cli/1/topo.xml P-Rex/test/test_cli/1/routing.xml '<.*> s1 .* s7 <>' 2


If you use this code for your research, please include the following reference in any resulting publication:

	author    = {Geyer, Fabien and Schmid, Stefan},
	title     = {{DeepMPLS}: Fast Analysis of MPLS Configurations Using Deep Learning},
	booktitle = {Proceedings of the 18th IFIP Networking Conference},
	year      = {2019},
	month     = mai,
	address   = {Warsaw, Poland},
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