@inproceedings{martinez2024evaluation,title={An Evaluation of RAN Sustainability Strategies in Production Networks},author={Mart{\'\i}nez-Durive, Orlando and Su{\'a}rez-Varela, Jos{\'e} and Oma{\~n}a Iglesias, Jes{\'u}s and Lutu, Andra and Fiore, Marco},booktitle={IEEE INFOCOM},year={2025},}
2024
Through the Telco Lens: A Countrywide Empirical Study of Cellular Handovers
Michail Kalntis, José Suárez-Varela, Jesús Omaña Iglesias, Anup Kiran Bhattacharjee, George Iosifidis, Fernando A Kuipers, and Andra Lutu
In Proceedings of the 2024 ACM on Internet Measurement Conference, 2024
@inproceedings{kalntis2024through,title={Through the Telco Lens: A Countrywide Empirical Study of Cellular Handovers},author={Kalntis, Michail and Su{\'a}rez-Varela, Jos{\'e} and Iglesias, Jes{\'u}s Oma{\~n}a and Bhattacharjee, Anup Kiran and Iosifidis, George and Kuipers, Fernando A and Lutu, Andra},booktitle={Proceedings of the 2024 ACM on Internet Measurement Conference},pages={51--67},year={2024},}
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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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,}