publications | José Suárez-Varela

2023

Detecting Contextual Network Anomalies with Graph Neural Networks

Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, and Pere Barlet-Ros

In Proceedings of the ACM CoNEXT Graph Neural Networking Workshop, Dec 2023

@inproceedings{latif2023detecting,
  title = {Detecting Contextual Network Anomalies with Graph Neural Networks},
  author = {Latif, Hamid and Su{\'a}rez-Varela, Jos{\'e} and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  booktitle = {Proceedings of the ACM CoNEXT Graph Neural Networking Workshop},
  pages = {25--30},
  year = {2023},
  month = dec,
}

Enhancing 5G Radio Planning with Graph Representations and Deep Learning

Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, and Pere Barlet-Ros

In Proceedings of the ACM SIGCOMM 5G-MeMU workshop, Nov 2023

DOI PDF BibTeX

@inproceedings{almasan2023enhancing,
  title = {Enhancing 5G Radio Planning with Graph Representations and Deep Learning},
  author = {Almasan, Paul and Su{\'a}rez-Varela, Jos{\'e} and Lutu, Andra and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  booktitle = {Proceedings of the ACM SIGCOMM 5G-MeMU workshop},
  year = {2023},
  month = nov,
}

RouteNet-Fermi: Network Modeling with Graph Neural Networks

Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, and Albert Cabellos-Aparicio

IEEE/ACM Transactions on Networking, May 2023

DOI PDF BibTeX

@article{ferriol2023routenet,
  title = {RouteNet-Fermi: Network Modeling with Graph Neural Networks},
  author = {Ferriol-Galm{\'e}s, Miquel and Paillisse, Jordi and Su{\'a}rez-Varela, Jos{\'e} and Rusek, Krzysztof and Xiao, Shihan and Shi, Xiang and Cheng, Xiangle and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  journal = {IEEE/ACM Transactions on Networking},
  year = {2023},
  month = may,
}

GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters

Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, and Albert Cabellos-Aparicio

arXiv preprint arXiv:2308.04905, Aug 2023

PDF BibTeX

@article{bernardez2023graphcc,
  title = {GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters},
  author = {Bern{\'a}rdez, Guillermo and Su{\'a}rez-Varela, Jos{\'e} and Shi, Xiang and Xiao, Shihan and Cheng, Xiangle and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  journal = {arXiv preprint arXiv:2308.04905},
  year = {2023},
  month = aug,
}

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering

Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, and Albert Cabellos-Aparicio

IEEE Transactions on Cognitive Communications and Networking, Jan 2023

DOI PDF BibTeX

@article{bernardez2023magnneto,
  title = {MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering},
  author = {Bern{\'a}rdez, Guillermo and Su{\'a}rez-Varela, Jos{\'e} and L{\'o}pez, Albert and Shi, Xiang and Xiao, Shihan and Cheng, Xiangle and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  journal = {IEEE Transactions on Cognitive Communications and Networking},
  volume = {9},
  number = {2},
  pages = {494--506},
  year = {2023},
  month = jan,
}

2022

Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case

Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, and Albert Cabellos-Aparicio

Computer Communications, Dec 2022

DOI PDF BibTeX

@article{almasan2022deep,
  title = {Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case},
  author = {Almasan, Paul and Su{\'a}rez-Varela, Jos{\'e} and Badia-Sampera, Arnau and Rusek, Krzysztof and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  journal = {Computer Communications},
  year = {2022},
  month = dec,
}

Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing

Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Chołda, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In International Conference on Network and Service Management (CNSM), Dec 2022

DOI PDF BibTeX

@inproceedings{rusek2022fast,
  title = {Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing},
  author = {Rusek, Krzysztof and Almasan, Paul and Su{\'a}rez-Varela, Jos{\'e} and Cho{\l}da, Piotr and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {International Conference on Network and Service Management (CNSM)},
  year = {2022},
  month = dec,
}

Building a Digital Twin for Network Optimization Using Graph Neural Networks

Miquel Ferriol-Galmés, José Suárez-Varela, Jordi Paillise, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, and Albert Cabellos-Aparicio

Computer Networks, Nov 2022

DOI PDF BibTeX

@article{ferriol2022building,
  title = {Building a Digital Twin for Network Optimization Using Graph Neural Networks},
  author = {Ferriol-Galm{\'e}s, Miquel and Su{\'a}rez-Varela, Jos{\'e} and Paillise, Jordi and Shi, Xiang and Xiao, Shihan and Cheng, Xiangle and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  journal = {Computer Networks},
  year = {2022},
  publisher = {Elsevier},
  month = nov,
}

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

José Suárez-Varela, Paul Almasan, Miquel Ferriol-Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, and others

IEEE Network, Aug 2022

DOI PDF BibTeX

@article{suarez2022graph,
  title = {Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Almasan, Paul and Ferriol-Galm{\'e}s, Miquel and Rusek, Krzysztof and Geyer, Fabien and Cheng, Xiangle and Shi, Xiang and Xiao, Shihan and Scarselli, Franco and Cabellos-Aparicio, Albert and others},
  journal = {IEEE Network},
  year = {2022},
  month = aug,
}

Network Digital Twin: Context, Enabling Technologies and Opportunities

Paul Almasan, Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, and others

IEEE Communications Magazine, Jun 2022

DOI PDF BibTeX

@article{almasan2022network,
  title = {Network Digital Twin: Context, Enabling Technologies and Opportunities},
  author = {Almasan, Paul and Ferriol-Galm{\'e}s, Miquel and Paillisse, Jordi and Su{\'a}rez-Varela, Jos{\'e} and Perino, Diego and L{\'o}pez, Diego and Perales, Antonio Agustin Pastor and Harvey, Paul and Ciavaglia, Laurent and Wong, Leon and others},
  journal = {IEEE Communications Magazine},
  year = {2022},
  month = jun,
}

Unveiling the potential of graph neural networks for robust intrusion detection

David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, and Pere Barlet-Ros

ACM SIGMETRICS Performance Evaluation Review, Jun 2022

DOI PDF BibTeX

@article{pujol2022unveiling,
  title = {Unveiling the potential of graph neural networks for robust intrusion detection},
  author = {Pujol-Perich, David and Su{\'a}rez-Varela, Jos{\'e} and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  journal = {ACM SIGMETRICS Performance Evaluation Review},
  volume = {49},
  number = {4},
  pages = {111--117},
  year = {2022},
  month = jun,
}

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation

Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In IEEE INFOCOM - IEEE International Conference on Computer Communications, May 2022

DOI PDF BibTeX

@inproceedings{ferriol2022routenet,
  title = {RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation},
  author = {Ferriol-Galm{\'e}s, Miquel and Rusek, Krzysztof and Su{\'a}rez-Varela, Jos{\'e} and Xiao, Shihan and Shi, Xiang and Cheng, Xiangle and Wu, Bo and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {IEEE INFOCOM - IEEE International Conference on Computer Communications},
  year = {2022},
  month = may,
}

Exploring the Limitations of Current Graph Neural Networks for Network Modeling

Martin Happ, Jia Lei Du, Matthias Herlich, Christian Maier, Peter Dorfinger, and José Suárez-Varela

In IEEE/IFIP Network Operations and Management Symposium (NOMS), Apr 2022

DOI PDF BibTeX

@inproceedings{happ2022exploring,
  title = {Exploring the Limitations of Current Graph Neural Networks for Network Modeling},
  author = {Happ, Martin and Du, Jia Lei and Herlich, Matthias and Maier, Christian and Dorfinger, Peter and Su{\'a}rez-Varela, Jos{\'e}},
  booktitle = {IEEE/IFIP Network Operations and Management Symposium (NOMS)},
  pages = {1--8},
  year = {2022},
  month = apr,
}

2021

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems

David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, and Pere Barlet-Ros

IEEE Network, Nov 2021

DOI PDF BibTeX

@article{pujol2021ignnition,
  title = {IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems},
  author = {Pujol-Perich, David and Su{\'a}rez-Varela, Jos{\'e} and Ferriol, Miquel and Xiao, Shihan and Wu, Bo and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  journal = {IEEE Network},
  volume = {35},
  number = {6},
  pages = {171--177},
  year = {2021},
  month = nov,
}

Is Machine Learning Ready for Traffic Engineering Optimization?

Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In IEEE International Conference on Network Protocols (ICNP), Nov 2021

DOI PDF BibTeX

@inproceedings{bernardez2021machine,
  title = {Is Machine Learning Ready for Traffic Engineering Optimization?},
  author = {Bern{\'a}rdez, Guillermo and Su{\'a}rez-Varela, Jos{\'e} and L{\'o}pez, Albert and Wu, Bo and Xiao, Shihan and Cheng, Xiangle and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {IEEE International Conference on Network Protocols (ICNP)},
  year = {2021},
  month = nov,
}

Results and Achievements of the ALLIANCE Project: New Network Solutions for 5G and Beyond

Davide Careglio, Salvatore Spadaro, Albert Cabellos, Jose Antonio Lazaro, Pere Barlet-Ros, Joan Manel Gené, Jordi Perelló, Fernando Agraz Bujan, José Suárez-Varela, Albert Pages, and others

Applied Sciences, Sep 2021

DOI PDF BibTeX

@article{careglio2021results,
  title = {Results and Achievements of the ALLIANCE Project: New Network Solutions for 5G and Beyond},
  author = {Careglio, Davide and Spadaro, Salvatore and Cabellos, Albert and Lazaro, Jose Antonio and Barlet-Ros, Pere and Gen{\'e}, Joan Manel and Perell{\'o}, Jordi and Agraz Bujan, Fernando and Su{\'a}rez-Varela, Jos{\'e} and Pages, Albert and others},
  journal = {Applied Sciences},
  volume = {11},
  number = {19},
  pages = {9130},
  year = {2021},
  month = sep,
}

NetXplain: Real-time Explainability of Graph Neural Networks applied to Networking

David Pujol-Perich, José Suárez-Varela, Shihan Xiao, Albert Cabellos-Aparicio, and Pere Barlet-Ros

ITU Journal on Future and Evolving Technologies (ITU J-FET), Aug 2021

DOI PDF BibTeX

@article{pujol2021netxplain,
  title = {NetXplain: Real-time Explainability of Graph Neural Networks applied to Networking},
  author = {Pujol-Perich, David and Suárez-Varela, Jos{\'e} and Xiao, Shihan and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  journal = {ITU Journal on Future and Evolving Technologies (ITU J-FET)},
  volume = {2},
  number = {4},
  year = {2021},
  month = aug,
}

IGNNITION: fast prototyping of graph neural networks for communication networks

David Pujol-Perich, José Suárez-Varela, Miquel Ferriol-Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, and Pere Barlet-Ros

In Proceedings of ACM SIGCOMM Poster and Demo Sessions, Aug 2021

DOI PDF BibTeX

@incollection{pujol2021ignnitioo,
  title = {IGNNITION: fast prototyping of graph neural networks for communication networks},
  author = {Pujol-Perich, David and Su{\'a}rez-Varela, Jos{\'e} and Ferriol-Galm{\'e}s, Miquel and Wu, Bo and Xiao, Shihan and Cheng, Xiangle and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  booktitle = {Proceedings of ACM SIGCOMM Poster and Demo Sessions},
  pages = {71--73},
  year = {2021},
  month = aug,
}

The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks

José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loı̈ck Bonniot, Christoph Neumann, François Schnitzler, and others

ACM SIGCOMM Computer Communication Review, Jul 2021

DOI PDF BibTeX

@article{suarez2021graph,
  title = {The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Ferriol-Galm{\'e}s, Miquel and L{\'o}pez, Albert and Almasan, Paul and Bern{\'a}rdez, Guillermo and Pujol-Perich, David and Rusek, Krzysztof and Bonniot, Lo{\"\i}ck and Neumann, Christoph and Schnitzler, Fran{\c{c}}ois and others},
  journal = {ACM SIGCOMM Computer Communication Review},
  volume = {51},
  number = {3},
  year = {2021},
  month = jul,
}

Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges

Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In IEEE HPSR SARNET, Jul 2021

DOI PDF BibTeX

@inproceedings{almasan2021towards,
  title = {Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges},
  author = {Almasan, Paul and Su{\'a}rez-Varela, Jos{\'e} and Wu, Bo and Xiao, Shihan and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {IEEE HPSR SARNET},
  year = {2021},
  month = jul,
}

IGNNITION: A framework for fast prototyping of Graph Neural Networks

David Pujol-Perich, José Suárez-Varela, Miquel Ferriol-Galmés, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, and Pere Barlet-Ros

In MLSys workshop on Graph Neural Networks and Systems (GNNSys), Apr 2021

PDF Website BibTeX

@inproceedings{pujol2021ignnitiop,
  title = {IGNNITION: A framework for fast prototyping of Graph Neural Networks},
  author = {Pujol-Perich, David and Su{\'a}rez-Varela, Jos{\'e} and Ferriol-Galm{\'e}s, Miquel and Xiao, Shihan and Wu, Bo and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  booktitle = {MLSys workshop on Graph Neural Networks and Systems (GNNSys)},
  year = {2021},
  month = apr,
}

NetXplain: Real-time explainability of Graph Neural Networks applied to Computer Networks

David Pujol-Perich, José Suárez-Varela, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, and Pere Barlet-Ros

In MLSys workshop on Graph Neural Networks and Systems (GNNSys), Apr 2021

DOI PDF BibTeX

@inproceedings{pujol2021netxplaio,
  title = {NetXplain: Real-time explainability of Graph Neural Networks applied to Computer Networks},
  author = {Pujol-Perich, David and Su{\'a}rez-Varela, Jos{\'e} and Xiao, Shihan and Wu, Bo and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  booktitle = {MLSys workshop on Graph Neural Networks and Systems (GNNSys)},
  year = {2021},
  month = apr,
}

2020

Enabling knowledge-defined networks: deep reinforcement learning, graph neural networks and network analytics

José Rafael Suárez-Varela Macià

Jun 2020

PDF Website BibTeX

@article{suarez2020enabling,
  title = {Enabling knowledge-defined networks: deep reinforcement learning, graph neural networks and network analytics},
  author = {Su{\'a}rez-Varela Maci{\`a}, Jos{\'e} Rafael},
  year = {2020},
  month = jun,
  publisher = {PhD Thesis, Universitat Polit{\`e}cnica de Catalunya},
}

RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN

Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, and Albert Cabellos-Aparicio

IEEE Journal on Selected Areas in Communications (JSAC), Jun 2020

DOI PDF BibTeX

@article{rusek2020routenet,
  title = {RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN},
  author = {Rusek, Krzysztof and Su{\'a}rez-Varela, Jos{\'e} and Almasan, Paul and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  journal = {IEEE Journal on Selected Areas in Communications (JSAC)},
  year = {2020},
  month = jun,
}

2019

Towards more realistic network models based on Graph Neural Networks

Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In Proceedings of ACM CoNEXT student workshop, Dec 2019

DOI PDF BibTeX

@inproceedings{badia2019towards,
  title = {Towards more realistic network models based on Graph Neural Networks},
  author = {Badia-Sampera, Arnau and Su{\'a}rez-Varela, Jos{\'e} and Almasan, Paul and Rusek, Krzysztof and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {Proceedings of ACM CoNEXT student workshop},
  pages = {14--16},
  year = {2019},
  month = dec,
}

Routing in optical transport networks with deep reinforcement learning

José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Albert Cabellos-Aparicio, and Pere Barlet-Ros

Journal of Optical Communications and Networking, Sep 2019

DOI PDF BibTeX

@article{suarez2019routing,
  title = {Routing in optical transport networks with deep reinforcement learning},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Mestres, Albert and Yu, Junlin and Kuang, Li and Feng, Haoyu and Cabellos-Aparicio, Albert and Barlet-Ros, Pere},
  journal = {Journal of Optical Communications and Networking},
  volume = {11},
  pages = {547--558},
  year = {2019},
  month = sep,
}

Challenging the generalization capabilities of Graph Neural Networks for network modeling

José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In Proceedings of ACM SIGCOMM Posters and Demos, Aug 2019

DOI PDF BibTeX

@inproceedings{suarez2019challenging,
  title = {Challenging the generalization capabilities of Graph Neural Networks for network modeling},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Carol-Bosch, Sergi and Rusek, Krzysztof and Almasan, Paul and Arias, Marta and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {Proceedings of ACM SIGCOMM Posters and Demos},
  pages = {114--115},
  year = {2019},
  month = aug,
}

Detecting cryptocurrency miners with NetFlow/IPFIX network measurements

Jordi Muñoz, José Suárez-Varela, and Pere Barlet-Ros

In IEEE International Symposium on Measurements and Networking (M&N), Aug 2019

DOI PDF BibTeX

@inproceedings{zayuelas2019detecting,
  title = {Detecting cryptocurrency miners with NetFlow/IPFIX network measurements},
  author = {Zayuelas i Mu{\~n}oz, Jordi and Su{\'a}rez-Varela, Jos{\'e} and Barlet-Ros, Pere},
  booktitle = {IEEE International Symposium on Measurements and Networking (M\&N)},
  year = {2019},
  month = aug,
}

Feature engineering for Deep Reinforcement Learning based routing

José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In IEEE International Conference on Communications (ICC), May 2019

DOI PDF BibTeX

@inproceedings{suarez2019feature,
  title = {Feature engineering for Deep Reinforcement Learning based routing},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Mestres, Albert and Yu, Junlin and Kuang, Li and Feng, Haoyu and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {IEEE International Conference on Communications (ICC)},
  year = {2019},
  month = may,
}

Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN

Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In Proceedings of the ACM Symposium on SDN Research (SOSR), Apr 2019

DOI PDF BibTeX

@inproceedings{rusek2019unveiling,
  title = {Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN},
  author = {Rusek, Krzysztof and Su{\'a}rez-Varela, Jos{\'e} and Mestres, Albert and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {Proceedings of the ACM Symposium on SDN Research (SOSR)},
  pages = {140--151},
  year = {2019},
  month = apr,
}

Routing Based on Deep Reinforcement Learning in Optical Transport Networks

José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, and Albert Cabellos-Aparicio

In Optical Fiber Communications Conference and Exhibition (OFC), San Diego, USA, Mar 2019

DOI PDF BibTeX

@inproceedings{suarez2019routinh,
  title = {Routing Based on Deep Reinforcement Learning in Optical Transport Networks},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Mestres, Albert and Yu, Junlin and Kuang, Li and Feng, Haoyu and Barlet-Ros, Pere and Cabellos-Aparicio, Albert},
  booktitle = {Optical Fiber Communications Conference and Exhibition (OFC), San Diego, USA},
  year = {2019},
  month = mar,
}

2018

Towards accurate classification of HTTPS traffic in Software-Defined Networks

José Suárez-Varela, and Pere Barlet-Ros

In International Instrumentation and Measurement Technology Conference (I2MTC), May 2018

DOI PDF BibTeX

@inproceedings{suarez2018towards,
  title = {Towards accurate classification of HTTPS traffic in Software-Defined Networks},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Barlet-Ros, Pere},
  booktitle = {International Instrumentation and Measurement Technology Conference (I2MTC)},
  year = {2018},
  month = may,
}

Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs

José Suárez-Varela, and Pere Barlet-Ros

Computer Networks, Apr 2018

DOI PDF BibTeX

@article{suarez2018flow,
  title = {Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Barlet-Ros, Pere},
  journal = {Computer Networks},
  volume = {135},
  pages = {289--301},
  year = {2018},
  month = apr,
}

SBAR: SDN flow-Based monitoring and Application Recognition

José Suárez-Varela, and Pere Barlet-Ros

In Proceedings of the ACM Symposium on SDN Research (SOSR), Mar 2018

DOI PDF BibTeX

@inproceedings{suarez2018sbar,
  title = {SBAR: SDN flow-Based monitoring and Application Recognition},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Barlet-Ros, Pere},
  booktitle = {Proceedings of the ACM Symposium on SDN Research (SOSR)},
  year = {2018},
  month = mar,
}

2017

Towards a NetFlow implementation for OpenFlow Software-Defined Networks

José Suárez-Varela, and Pere Barlet-Ros

In IEEE International Teletraffic Congress (ITC), 2017, Sep 2017

DOI PDF BibTeX

@inproceedings{suarez2017towards,
  title = {Towards a NetFlow implementation for OpenFlow Software-Defined Networks},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Barlet-Ros, Pere},
  booktitle = {IEEE International Teletraffic Congress (ITC), 2017},
  volume = {1},
  pages = {187--195},
  year = {2017},
  month = sep,
}

A NetFlow/IPFIX implementation with OpenFlow

José Suárez-Varela, Pere Barlet-Ros, and Valentın Carela-Espanol

In TERENA Networking Conference, 2017, Jun 2017

PDF Website BibTeX

@inproceedings{suarez2017netflow,
  title = {A NetFlow/IPFIX implementation with OpenFlow},
  author = {Su{\'a}rez-Varela, Jos{\'e} and Barlet-Ros, Pere and Carela-Espanol, Valent{\i}n},
  booktitle = {TERENA Networking Conference, 2017},
  year = {2017},
  month = jun,
}