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2019-spie-photonics-west

Source code for the paper "Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning," presented at the SPIE Photonics West Conference, 2019

2020-ecoc-rca

This is the repository for the work with title "Root Cause Analysis for Autonomous Optical Networks: A Physical Layer Security Use Case" presented at the ECOC 2020, Brussels.

2020-jocn-efficient-ml

Repository containing the implementation of the work published in JOCN. The work studies the impact of using dimensionality reduction methods to the identification of attacks and anomalies in optical networks.

2020_jocn_evm_estimation_using_cnn

This repository contains the implementation used to generate the results presented in the paper "Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation" presented at the 2020 JOCN.

2021-commletters-spectrumanomalydetectionwithdeepunsupervisedlearning

This repository contains the implementation of the paper "Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning" published in the IEEE Communication Letters.

2022-ofc-unsupervised-learning

chalmers-applied-object-oriented-programming

An extension pack with all the VS Code extensions needed for the EEN060/EEN065 courses.

chapter-functional-metrics

Repository containing the implementation of the results included in the book chapter.

dbscan-serving-python

Implementation of a Python DBSCAN server inspired by TensorFlow Serving

dbscan-serving-rust

Implementation of a Rust DBSCAN server inspired by TensorFlow Serving

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

deeprmsa

For more details, see paper: DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks

een060-een065-short-guides

Repository with code used in the short guides provided to students in EEN060 and EEN065 courses from Chalmers University of Technology, Sweden

flask-app-skeleton

Skeleton app to be used in the EEN060/EEN065 courses

genetic-algorithm-rmsa

A genetic algorithm solution for the RMSA problem

gym-hpa

java-anycast-cs-simulator

Simulator for circuit-switched networks with anycast traffic written in Java (Opaque WDM with datacenters is a particular use case)

jlt-2019-experimental-ml-attacks

Implementation details of the work "Experimental Study of Machine-Learning-Based Detection and Identification of Physical-Layer Attacks in Optical Networks" published in JLT.

jlt-2020-ml-practical-perspective

This repository has the implementation of the results presented in the JLT paper.

networks-5g-cdn

Repository containing the data and implementation of the paper "Content Placement in 5G-enabled Edge/Core Datacenter Networks Resilient to Link Cut Attacks" published in Wiley Networks Journal

optical-rl-gym

Set of reinforcement learning environments for optical networks

osa-networks-hands-on-ml

Instructions and code used for the Hands-on Introduction to Data Analytics and Machine Learning in Optical Networks to be presented at the OSA Advanced Photonics Congress

osa-networks-one-shot-learning

This repository contains the implementation used to generate the results presented in the paper "One-Shot Learning for Modulation Format Identification in Evolving Optical Networks" presented at the Postdeadline Paper Session of the 2019 OSA Advanced Photonics Congress.

programming-assignments

Boilerplate VSCode project to be used by students during the EEN060/EEN065 course

python-simple-anycast-wdm-simulator

Simulator for circuit-switched networks with anycast traffic written in Python (Opaque WDM with datacenters is a particular use case)

python-simple-opaque-wdm-simulator

Simulator for circuit-switched networks written in Python (Opaque WDM is a particular use case)

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

recodis-school

Code used in the RECODIS training school hosted in Brussels

rust_tensorflow_serving_client_example

Example of usage of the TensorFlow Serving from Rust

scienceplots

Format Matplotlib for scientific plotting