José Suárez-Varela
José Suárez-Varela
Barcelona Neural Networking Center, Universitat Politècnica de Catalunya, Spain
Dirección de correo verificada de ac.upc.edu
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Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN
K Rusek, J Suárez-Varela, A Mestres, P Barlet-Ros, A Cabellos-Aparicio
Proceedings of the ACM Symposium on SDN Research (SOSR), 140-151, 2019
452019
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN
K Rusek, J Suárez-Varela, P Almasan, P Barlet-Ros, A Cabellos-Aparicio
IEEE Journal on Selected Areas in Communications (JSAC), 2020
222020
Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs
J Suárez-Varela, P Barlet-Ros
Computer Networks 135, 289-301, 2018
202018
Towards a NetFlow implementation for OpenFlow Software-Defined Networks
J Suárez-Varela, P Barlet-Ros
29th International Teletraffic Congress (ITC), 2017 1, 187-195, 2017
202017
Routing Based On Deep Reinforcement Learning In Optical Transport Networks
J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, P Barlet-Ros, ...
Optical Fiber Communication Conference (OFC), M2A. 6, 2019
192019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
P Almasan, J Suárez-Varela, A Badia-Sampera, K Rusek, P Barlet-Ros, ...
arXiv, arXiv: 1910.07421, 2019
18*2019
Routing in optical transport networks with deep reinforcement learning
J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, A Cabellos-Aparicio, ...
Journal of Optical Communications and Networking 11, 547-558, 2019
142019
Feature engineering for Deep Reinforcement Learning based routing
J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, P Barlet-Ros, ...
IEEE International Conference on Communications (ICC), 2019
132019
Challenging the generalization capabilities of Graph Neural Networks for network modeling
J Suárez-Varela, S Carol-Bosch, K Rusek, P Almasan, M Arias, ...
Proceedings of ACM SIGCOMM Posters and Demos, 114-115, 2019
122019
Reinventing NetFlow for OpenFlow Software-Defined Networks (technical report)
J Suárez-Varela, P Barlet-Ros
arXiv preprint arXiv:1702.06803, 2017
112017
SBAR: SDN flow-Based monitoring and Application Recognition
J Suárez-Varela, P Barlet-Ros
Proceedings of the Symposium on SDN Research (SOSR), 2018
102018
Detecting cryptocurrency miners with NetFlow/IPFIX network measurements
J Zayuelas i Muñoz, J Suárez-Varela, P Barlet-Ros
IEEE International Symposium on Measurements and Networking (M&N), 2019
82019
Towards more realistic network models based on Graph Neural Networks
A Badia-Sampera, J Suárez-Varela, P Almasan, K Rusek, P Barlet-Ros, ...
Proceedings of the International Conference on emerging Networking …, 2019
32019
Design of a flow monitoring solution for OpenFlow Software-Defined Networks
JRSV Maciá
MsC thesis, 2017
32017
Applying Graph-based Deep Learning To Realistic Network Scenarios
M Ferriol-Galmés, J Suárez-Varela, P Barlet-Ros, A Cabellos-Aparicio
arXiv preprint arXiv:2010.06686, 2020
12020
Towards accurate classification of HTTPS traffic in Software-Defined Networks
J Suárez-Varela, P Barlet-Ros
International Instrumentation and Measurement Technology Conference (I2MTC), 2018
12018
NetXplain: Real-time explainability of Graph Neural Networks applied to Computer Networks
D Pujol-Perich, J Suárez-Varela, S Xiao, B Wu, A Cabellos-Aparicio, ...
MLSys workshop on Graph Neural Networks and Systems (GNNSys), 2021
2021
Enabling knowledge-defined networks: deep reinforcement learning, graph neural networks and network analytics
JR Suárez-Varela Maciá
PhD thesis, Universitat Politècnica de Catalunya, 2020
2020
A NetFlow/IPFIX implementation with OpenFlow
J Suárez-Varela, P Barlet-Ros, V Carela-Espanol
TERENA Networking Conference, 2017, 2017
2017
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Artículos 1–19