Knowledge-defined networking A Mestres, A Rodriguez-Natal, J Carner, P Barlet-Ros, E Alarcón, M Solé, ... ACM SIGCOMM Computer Communication Review 47 (3), 2-10, 2017 | 450 | 2017 |
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 38 (10), 2260-2270, 2020 | 242 | 2020 |
Independent comparison of popular DPI tools for traffic classification T Bujlow, V Carela-Español, P Barlet-Ros Computer Networks 76, 75-89, 2015 | 234 | 2015 |
Measuring video QoE from encrypted traffic G Dimopoulos, I Leontiadis, P Barlet-Ros, K Papagiannaki Proceedings of the 2016 Internet Measurement Conference, 513-526, 2016 | 205 | 2016 |
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 2019 ACM Symposium on SDN Research, 140-151, 2019 | 181 | 2019 |
A survey on web tracking: Mechanisms, implications, and defenses T Bujlow, V Carela-Español, J Sole-Pareta, P Barlet-Ros Proceedings of the IEEE 105 (8), 1476-1510, 2017 | 181 | 2017 |
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case P Almasan, J Suárez-Varela, K Rusek, P Barlet-Ros, A Cabellos-Aparicio Computer Communications 196, 184-194, 2022 | 159 | 2022 |
Analysis of the impact of sampling on NetFlow traffic classification V Carela-Español, P Barlet-Ros, A Cabellos-Aparicio, J Solé-Pareta Computer Networks 55 (5), 1083-1099, 2011 | 144 | 2011 |
Is our ground-truth for traffic classification reliable? V Carela-Español, T Bujlow, P Barlet-Ros International Conference on Passive and Active Network Measurement, 98-108, 2014 | 72 | 2014 |
Practical anomaly detection based on classifying frequent traffic patterns I Paredes-Oliva, I Castell-Uroz, P Barlet-Ros, X Dimitropoulos, ... 2012 Proceedings IEEE INFOCOM Workshops, 49-54, 2012 | 60 | 2012 |
Network digital twin: Context, enabling technologies, and opportunities P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ... IEEE Communications Magazine 60 (11), 22-27, 2022 | 58 | 2022 |
Digital twin network: Opportunities and challenges P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ... arXiv preprint arXiv:2201.01144, 2022 | 57 | 2022 |
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 (11), 547-558, 2019 | 55 | 2019 |
Load shedding in network monitoring applications P Barlet-Ros, G Iannaccone, J Sanjuàs-Cuxart, D Amores-López, ... USENIX Annual Technical Conference 16, 2007 | 54 | 2007 |
Identifying the root cause of video streaming issues on mobile devices G Dimopoulos, I Leontiadis, P Barlet-Ros, K Papagiannaki, P Steenkiste Proceedings of the 11th ACM Conference on Emerging Networking Experiments …, 2015 | 50 | 2015 |
Feature engineering for deep reinforcement learning based routing J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, P Barlet-Ros, ... ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 47 | 2019 |
Web tracking: Mechanisms, implications, and defenses T Bujlow, V Carela-Español, J Solé-Pareta, P Barlet-Ros arXiv preprint arXiv:1507.07872, 2015 | 46 | 2015 |
Graph neural networks for communication networks: Context, use cases and opportunities J Suárez-Varela, P Almasan, M Ferriol-Galmés, K Rusek, F Geyer, ... IEEE network, 2022 | 44 | 2022 |
Unveiling the potential of graph neural networks for robust intrusion detection D Pujol-Perich, J Suárez-Varela, A Cabellos-Aparicio, P Barlet-Ros ACM SIGMETRICS Performance Evaluation Review 49 (4), 111-117, 2022 | 43 | 2022 |
Comparison of deep packet inspection (dpi) tools for traffic classification T Bujlow, V Carela-Español, P Barlet-Ros Universitat Politècnica de Catalunya, 2013 | 40 | 2013 |