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2020 – today
- 2024
[c56]Ismael Castell-Uroz, Pere Barlet-Ros:
A First Look into Utiq: Next-Generation Cookies at the ISP Level. EuroS&P Workshops 2024: 315-320- [c55]Arnau Pastor, Pau Escofet, Sahar Ben Rached, Eduard Alarcón, Pere Barlet-Ros, Sergi Abadal:
Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning. ISCAS 2024: 1-5 - [i37]Arnau Pastor, Pau Escofet, Sahar Ben Rached, Eduard Alarcón, Pere Barlet-Ros, Sergi Abadal:
Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning. CoRR abs/2401.17976 (2024) - [i36]Ismael Castell-Uroz, Pere Barlet-Ros:
A first look into Utiq: Next-generation cookies at the ISP level. CoRR abs/2405.09205 (2024) - [i35]Louis Van Langendonck, Ismael Castell-Uroz, Pere Barlet-Ros:
PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security. CoRR abs/2406.13365 (2024) - [i34]Louis Van Langendonck, Ismael Castell-Uroz, Pere Barlet-Ros:
Towards a graph-based foundation model for network traffic analysis. CoRR abs/2409.08111 (2024) - 2023
- [j39]Ismael Castell-Uroz
, Ismael Douha-Prieto, Meritxell Basart-Dotras, Pol Mesegué-Molina, Pere Barlet-Ros:
ePrivo.eu: An Online Service for Automatic Web Tracking Discovery. IEEE Access 11: 19669-19679 (2023) - [j38]Ismael Castell-Uroz, Pere Barlet-Ros:
TrackSign-labeled web tracking dataset. Comput. Networks 226: 109687 (2023) - [j37]Ismael Castell-Uroz, Óscar Sánchez-de-Mingo, Pere Barlet-Ros:
Early detection of new web tracking methods across 1.5 million sites. Comput. Commun. 210: 273-284 (2023) - [j36]José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37(3): 146-153 (2023) - [j35]Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. IEEE Trans. Cogn. Commun. Netw. 9(2): 494-506 (2023) - [j34]Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros:
A One-Pass Clustering Based Sketch Method for Network Monitoring. IEEE/ACM Trans. Netw. 31(6): 2604-2613 (2023) - [j33]Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31(6): 3080-3095 (2023) - [c54]Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. 5G-MeMZ@SIGCOMM 2023: 14-20 - [c53]Marcel Urpí-Bricollé, Ismael Castell-Uroz, Pere Barlet-Ros:
Detecting and Analyzing Mouse Tracking in the Wild. EuroS&P Workshops 2023: 495-500 - [c52]Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. GNNet@CoNEXT 2023: 1-6 - [c51]Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Network Traffic Compression. GNNet@CoNEXT 2023: 7-12 - [c50]Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT 2023: 25-30 - [c49]Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros:
ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. INFOCOM 2023: 1-10 - [e3]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos:
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023. ACM 2023 [contents] - [i33]Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Leveraging Spatial and Temporal Correlations for Network Traffic Compression. CoRR abs/2301.08962 (2023) - [i32]Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros:
ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. CoRR abs/2301.10895 (2023) - [i31]Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering. CoRR abs/2303.18157 (2023) - [i30]Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters. CoRR abs/2308.04905 (2023) - [i29]Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Graph Signal Compression. CoRR abs/2308.11068 (2023) - [i28]Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. CoRR abs/2309.03603 (2023) - [i27]Carlos Güemes-Palau, Miquel Ferriol Galmés, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Building a Graph-based Deep Learning network model from captured traffic traces. CoRR abs/2310.11889 (2023) - [i26]Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. CoRR abs/2311.05337 (2023) - [i25]Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Detecting Contextual Network Anomalies with Graph Neural Networks. CoRR abs/2312.06342 (2023) - 2022
- [j32]Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Commun. Mag. 60(11): 22-27 (2022) - [j31]Rubén Barceló-Armada, Ismael Castell-Uroz, Pere Barlet-Ros:
Amazon Alexa traffic traces. Comput. Networks 205: 108782 (2022) - [j30]Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. Comput. Networks 214: 109166 (2022) - [j29]Miquel Ferriol Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Building a Digital Twin for network optimization using Graph Neural Networks. Comput. Networks 217: 109329 (2022) - [j28]Paul Almasan, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. Comput. Commun. 196: 184-194 (2022) - [j27]Domenico Capriglione, Pere Barlet-Ros, António Espírito-Santo:
Guest Editorial: Special Issue on Measurements, Sensors and Standards in Modern Communication Networks. IEEE Instrum. Meas. Mag. 25(6): 3 (2022) - [j26]David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. SIGMETRICS Perform. Evaluation Rev. 49(4): 111-117 (2022) - [j25]Ismael Castell-Uroz, Rubén Sanz-García, Josep Solé-Pareta, Pere Barlet-Ros:
Demystifying Content-Blockers: Measuring Their Impact on Performance and Quality of Experience. IEEE Trans. Netw. Serv. Manag. 19(3): 3562-3573 (2022) - [c48]Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CNSM 2022: 359-363 - [c47]Hamid Latif, Jordi Paillisse, Jinze Yang, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of graph neural networks for BGP anomaly detection. GNNet@CoNEXT 2022: 7-12 - [c46]Miquel Ferriol Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio:
FlowDT: A Flow-Aware Digital Twin for Computer Networks. ICASSP 2022: 8907-8911 - [c45]Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM 2022: 2018-2027 - [c44]Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. NOMS 2022: 1-5 - [e2]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos:
Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022. ACM 2022, ISBN 978-1-4503-9933-3 [contents] - [i24]Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Digital Twin Network: Opportunities and Challenges. CoRR abs/2201.01144 (2022) - [i23]Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. CoRR abs/2202.00360 (2022) - [i22]Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR abs/2202.13956 (2022) - [i21]Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Network Digital Twin: Context, Enabling Technologies and Opportunities. CoRR abs/2205.14206 (2022) - [i20]Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CoRR abs/2209.10380 (2022) - [i19]Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR abs/2212.12070 (2022) - [i18]Ángela López-Cardona, Guillermo Bernárdez, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. CoRR abs/2212.12470 (2022) - 2021
- [j24]José Suárez-Varela, Miquel Ferriol Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio:
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51(3): 9-16 (2021) - [j23]David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros:
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. IEEE Netw. 35(6): 171-177 (2021) - [c43]Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. HPSR 2021: 1-6 - [c42]Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? ICNP 2021: 1-11 - [c41]Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros:
TrackSign: Guided Web Tracking Discovery. INFOCOM 2021: 1-10 - [c40]Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros:
Jellyfish: Locality-Sensitive Subflow Sketching. INFOCOM 2021: 1-10 - [c39]David Pujol-Perich, José Suárez-Varela, Miquel Ferriol Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
IGNNITION: fast prototyping of graph neural networks for communication networks. SIGCOMM Posters and Demos 2021: 71-73 - [i17]Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. CoRR abs/2106.09754 (2021) - [i16]José Suárez-Varela, Miquel Ferriol Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio:
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR abs/2107.12433 (2021) - [i15]David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. CoRR abs/2107.14756 (2021) - [i14]Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? CoRR abs/2109.01445 (2021) - [i13]David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros:
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems. CoRR abs/2109.06715 (2021) - [i12]Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
ENERO: Efficient Real-Time Routing Optimization. CoRR abs/2109.10883 (2021) - [i11]Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Scaling Graph-based Deep Learning models to larger networks. CoRR abs/2110.01261 (2021) - [i10]José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR abs/2112.14792 (2021) - 2020
- [j22]Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros:
Network Measurements for Web Tracking Analysis and Detection: A Tutorial. IEEE Instrum. Meas. Mag. 23(9): 50-57 (2020) - [j21]Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. IEEE J. Sel. Areas Commun. 38(10): 2260-2270 (2020) - [c38]Ismael Castell-Uroz, Théo Poissonnier, Pierre Manneback, Pere Barlet-Ros:
URL-based Web Tracking Detection Using Deep Learning. CNSM 2020: 1-5 - [c37]Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros:
Demystifying Content-blockers: A Large-scale Study of Actual Performance Gains. CNSM 2020: 1-7 - [i9]Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros:
Demystifying content-blockers: A large scale study of actual performance gains. CoRR abs/2002.01735 (2020) - [i8]Miquel Ferriol Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Applying Graph-based Deep Learning To Realistic Network Scenarios. CoRR abs/2010.06686 (2020)
2010 – 2019
- 2019
- [j20]José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Routing in optical transport networks with deep reinforcement learning. JOCN 11(11): 547-558 (2019) - [j19]Yongquan Fu, Dongsheng Li, Pere Barlet-Ros, Chun Huang, Zhen Huang, Siqi Shen, Huayou Su:
A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services. IEEE/ACM Trans. Netw. 27(4): 1598-1611 (2019) - [c36]Ismael Castell-Uroz, Xavier Marrugat-Plaza, Josep Solé-Pareta, Pere Barlet-Ros:
A first look into Alexa's interaction security. CoNEXT Companion 2019: 4-6 - [c35]Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Towards more realistic network models based on Graph Neural Networks. CoNEXT Companion 2019: 14-16 - [c34]José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Feature Engineering for Deep Reinforcement Learning Based Routing. ICC 2019: 1-6 - [c33]Jordi Zayuelas i Muñoz, José Suárez-Varela, Pere Barlet-Ros:
Detecting cryptocurrency miners with NetFlow/IPFIX network measurements. M&N 2019: 1-6 - [c32]José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Routing Based on Deep Reinforcement Learning in Optical Transport Networks. OFC 2019: 1-3 - [c31]José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Challenging the generalization capabilities of Graph Neural Networks for network modeling. SIGCOMM Posters and Demos 2019: 114-115 - [c30]Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. SOSR 2019: 140-151 - [i7]Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. CoRR abs/1901.08113 (2019) - [i6]Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. CoRR abs/1910.01508 (2019) - [i5]Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. CoRR abs/1910.07421 (2019) - 2018
- [j18]José Suárez-Varela, Pere Barlet-Ros:
Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs. Comput. Networks 135: 289-301 (2018) - [j17]Yongquan Fu, Pere Barlet-Ros, Dongsheng Li:
Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator. IEEE/ACM Trans. Netw. 26(1): 90-103 (2018) - [c29]José Suárez-Varela, Pere Barlet-Ros:
Towards accurate classification of HTTPS traffic in Software-Defined Networks. I2MTC 2018: 1-6 - [c28]Davide Careglio, Salvatore Spadaro, Albert Cabellos, José A. Lázaro, Jordi Perelló, Pere Barlet-Ros, Joan M. Gené, Jordi Paillisse:
ALLIANCE Project: Architecting a Knowledge-Defined 5G-Enabled Network Infrastructure. ICTON 2018: 1-6 - [c27]José Suárez-Varela, Pere Barlet-Ros:
SBAR: SDN flow-Based monitoring and Application Recognition. SOSR 2018: 22:1-22:2 - [i4]Paul Almasan, Jordi Paillisse, Alberto Rodríguez-Natal, Pere Barlet-Ros, Florin Coras, Vina Ermagan, Fabio Maino, Albert Cabellos-Aparicio:
Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols. CoRR abs/1803.08568 (2018) - 2017
- [j16]Albert Mestres, Alberto Rodríguez-Natal, Josep Carner, Pere Barlet-Ros, Eduard Alarcón, Marc Solé, Victor Muntés-Mulero, David Meyer, Sharon Barkai, Mike J. Hibbett, Giovani Estrada, Khaldun Maruf, Florin Coras, Vina Ermagan, Hugo Latapie, Chris Cassar, John Evans, Fabio Maino, Jean C. Walrand, Albert Cabellos:
Knowledge-Defined Networking. Comput. Commun. Rev. 47(3): 2-10 (2017) - [j15]Tomasz Bujlow, Valentín Carela-Español, Beom-Ryeol Lee, Pere Barlet-Ros:
A Survey on Web Tracking: Mechanisms, Implications, and Defenses. Proc. IEEE 105(8): 1476-1510 (2017) - [j14]Nguyen Xuan Quyen, Pere Barlet-Ros:
Performance of Direct-Oversampling Correlator-Type Receivers in Chaos-Based DS-CDMA Systems Over Frequency Non-selective Fading Channels. Wirel. Pers. Commun. 95(4): 4357-4379 (2017) - [c26]Giorgos Dimopoulos, Pere Barlet-Ros, Constantine Dovrolis, Ilias Leontiadis:
Detecting network performance anomalies with contextual anomaly detection. M&N 2017: 1-6 - [c25]Hoan Le, Federico Fallace, Pere Barlet-Ros:
Towards accurate detection of obfuscated web tracking. M&N 2017: 1-6 - [c24]José Suárez-Varela, Pere Barlet-Ros:
Towards a NetFlow Implementation for OpenFlow Software-Defined Networks. ITC 2017: 187-195 - [i3]José Suárez-Varela, Pere Barlet-Ros:
Reinventing NetFlow for OpenFlow Software-Defined Networks. CoRR abs/1702.06803 (2017) - 2016
- [j13]Alessandro D'Alconzo, Pere Barlet-Ros, Kensuke Fukuda, David R. Choffnes:
Machine learning, data mining and Big Data frameworks for network monitoring and troubleshooting. Comput. Networks 107: 1-4 (2016) - [j12]Pere Barlet-Ros, Moritz Steiner:
Special section on selected papers from TMA 2015. Comput. Commun. 94: 103 (2016) - [j11]Valentín Carela-Español, Pere Barlet-Ros, Albert Bifet, Kensuke Fukuda:
A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic. Telecommun. Syst. 63(2): 191-204 (2016) - [c23]José A. Lázaro, Salvatore Spadaro, Jordi Perelló, Joan M. Gené, Jose A. Altabas, Albert Pagès, Davide Careglio, Pere Barlet-Ros, Albert Cabellos, Josep Solé-Pareta:
SUNSET: Sustainable network infrastructure enabling the future Digital Society. ICTON 2016: 1-6 - [c22]Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki:
Measuring Video QoE from Encrypted Traffic. Internet Measurement Conference 2016: 513-526 - [i2]Albert Mestres, Alberto Rodríguez-Natal, Josep Carner, Pere Barlet-Ros, Eduard Alarcón, Marc Solé, Victor Muntés, David Meyer, Sharon Barkai, Mike J. Hibbett, Giovani Estrada, Khaldun Maruf, Florin Coras, Vina Ermagan, Hugo Latapie, Chris Cassar, John Evans, Fabio Maino, Jean C. Walrand, Albert Cabellos:
Knowledge-Defined Networking. CoRR abs/1606.06222 (2016) - 2015
- [j10]Tomasz Bujlow, Valentín Carela-Español, Pere Barlet-Ros:
Independent comparison of popular DPI tools for traffic classification. Comput. Networks 76: 75-89 (2015) - [j9]Valentín Carela-Español, Pere Barlet-Ros, Oriol Mula-Valls, Josep Solé-Pareta:
An Autonomic Traffic Classification System for Network Operation and Management. J. Netw. Syst. Manag. 23(3): 401-419 (2015) - [c21]Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki, Peter Steenkiste:
Identifying the root cause of video streaming issues on mobile devices. CoNEXT 2015: 24:1-24:13 - [e1]Moritz Steiner, Pere Barlet-Ros, Olivier Bonaventure:
Traffic Monitoring and Analysis - 7th International Workshop, TMA 2015, Barcelona, Spain, April 21-24, 2015. Proceedings. Lecture Notes in Computer Science 9053, Springer 2015, ISBN 978-3-319-17171-5 [contents] - [i1]Tomasz Bujlow, Valentín Carela-Español, Josep Solé-Pareta, Pere Barlet-Ros:
Web Tracking: Mechanisms, Implications, and Defenses. CoRR abs/1507.07872 (2015) - 2014
- [c20]Valentín Carela-Español, Tomasz Bujlow, Pere Barlet-Ros:
Is Our Ground-Truth for Traffic Classification Reliable? PAM 2014: 98-108 - 2013
- [j8]Ignasi Paredes-Oliva, Pere Barlet-Ros, Xenofontas A. Dimitropoulos:
FaRNet: Fast recognition of high-dimensional patterns from big network traffic data. Comput. Networks 57(18): 3897-3913 (2013) - [j7]Ignasi Paredes-Oliva, Pere Barlet-Ros, Josep Solé-Pareta:
Scan Detection under Sampling: A New Perspective. Computer 46(4): 38-44 (2013) - [c19]Giorgos Dimopoulos, Pere Barlet-Ros, Josep Sanjuàs-Cuxart:
Analysis of YouTube user experience from passive measurements. CNSM 2013: 260-267 - [c18]Jakub Mikians, Nikolaos Laoutaris, Amogh Dhamdhere, Pere Barlet-Ros:
ITMgen - A first-principles approach to generating synthetic interdomain traffic matrices. ICC 2013: 2507-2512 - [c17]Juan Molina Rodriguez, Valentín Carela-Español, Pere Barlet-Ros, Ralf Hoffmann, Klaus Degner:
Empirical analysis of traffic to establish a profiled flow termination timeout. IWCMC 2013: 1156-1161 - [c16]Ignasi Paredes-Oliva, Pere Barlet-Ros, Xenofontas A. Dimitropoulos:
FaRNet: fast recognition of high multi-dimensional network traffic patterns. SIGMETRICS 2013: 355-356 - 2012
- [j6]Maurizio Molina, Ignasi Paredes-Oliva, Wayne Routly, Pere Barlet-Ros:
Operational experiences with anomaly detection in backbone networks. Comput. Secur. 31(3): 273-285 (2012) - [j5]Albert Cabellos-Aparicio, Dorin-Mircea Cioran, Pere Barlet-Ros, Jordi Domingo-Pascual, Virgil Dobrota:
fHA: A flexible and distributed Home Agent architecture for Mobile-IP based networks. Inf. Sci. 211: 68-80 (2012) - [j4]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta:
Measurement Based Analysis of One-Click File Hosting Services. J. Netw. Syst. Manag. 20(2): 276-301 (2012) - [c15]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta, Gabriella Andriuzzi:
A lightweight algorithm for traffic filtering over sliding windows. ICC 2012: 1171-1176 - [c14]Ignasi Paredes-Oliva, Ismael Castell-Uroz, Pere Barlet-Ros, Xenofontas A. Dimitropoulos, Josep Solé-Pareta:
Practical anomaly detection based on classifying frequent traffic patterns. INFOCOM Workshops 2012: 49-54 - [c13]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick G. Duffield, Ramana Rao Kompella:
Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget. INFOCOM 2012: 2751-2755 - [c12]Jakub Mikians, Amogh Dhamdhere, Constantine Dovrolis, Pere Barlet-Ros, Josep Solé-Pareta:
Towards a Statistical Characterization of the Interdomain Traffic Matrix. Networking (2) 2012: 111-123 - 2011
- [j3]Valentín Carela-Español, Pere Barlet-Ros, Albert Cabellos-Aparicio, Josep Solé-Pareta:
Analysis of the impact of sampling on NetFlow traffic classification. Comput. Networks 55(5): 1083-1099 (2011) - [j2]Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanjuàs-Cuxart, Josep Solé-Pareta:
Predictive resource management of multiple monitoring applications. IEEE/ACM Trans. Netw. 19(3): 788-801 (2011) - [c11]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick G. Duffield, Ramana Rao Kompella:
Sketching the delay: tracking temporally uncorrelated flow-level latencies. Internet Measurement Conference 2011: 483-498 - [c10]Jakub Mikians, Pere Barlet-Ros, Josep Sanjuàs-Cuxart, Josep Solé-Pareta:
A Practical Approach to Portscan Detection in Very High-Speed Links. PAM 2011: 112-121 - 2010
- [c9]Ignasi Paredes-Oliva, Xenofontas A. Dimitropoulos, Maurizio Molina, Pere Barlet-Ros, Daniela Brauckhoff:
Automating root-cause analysis of network anomalies using frequent itemset mining. SIGCOMM 2010: 467-468 - [c8]Valentín Carela-Español, Pere Barlet-Ros, Marc Solé-Simó, Alberto Dainotti, Walter de Donato, Antonio Pescapè:
K-Dimensional Trees for Continuous Traffic Classification. TMA 2010: 141-154 - [c7]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta:
Validation and Improvement of the Lossy Difference Aggregator to Measure Packet Delays. TMA 2010: 155-170
2000 – 2009
- 2009
- [j1]Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanjuàs-Cuxart, Josep Solé-Pareta:
Robust network monitoring in the presence of non-cooperative traffic queries. Comput. Networks 53(3): 310-321 (2009) - [c6]Ignasi Paredes-Oliva, Pere Barlet-Ros, Josep Solé-Pareta:
Portscan Detection with Sampled NetFlow. TMA 2009: 26-33 - [c5]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta:
Counting Flows over Sliding Windows in High Speed Networks. Networking 2009: 79-91 - 2008
- [b1]Pere Barlet-Ros:
Load shedding in network monitoring applications. Polytechnic University of Catalonia, Spain, 2008 - [c4]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Gianluca Iannaccone, Josep Solé-Pareta:
Distributed scheduling in large scale monitoring infrastructures. CoNEXT 2008: 53 - [c3]René Serral-Gracià, Pere Barlet-Ros, Jordi Domingo-Pascual:
Distributed sampling for on-line SLA assessment. LANMAN 2008: 55-60 - 2007
- [c2]Pere Barlet-Ros, Diego Amores-López, Gianluca Iannaccone, Josep Sanjuàs-Cuxart, Josep Solé-Pareta:
On-Line Predictive Load Shedding for Network Monitoring. Networking 2007: 1108-1119 - [c1]Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanjuàs-Cuxart, Diego Amores-López, Josep Solé-Pareta:
Load Shedding in Network Monitoring Applications. USENIX ATC 2007: 59-72 - 2003
- [p1]Burkhard Stiller, Pere Barlet-Ros, John Cushnie, Jordi Domingo-Pascual, David Hutchison, Rui J. Lopes, Andreas Mauthe, Mihai Popa, James Roberts, Josep Solé-Pareta, Denis Trcek, Carlos Veciana-Nogués:
Pricing and QoS. QofIS Final Report 2003: 263-291
Coauthor Index
Albert Cabellos-Aparicio
aka: Albert Cabellos
aka: Albert Cabellos
[j36] [j35] [j33] [c54] [c52] [c51] [c50] [e3] [i33] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [j32] [j30] [j29] [j28] [j26] [c48] [c47] [c46] [c45] [c44] [e2] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [j24] [j23] [c43] [c42] [c39] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j21] [i8] [j20] [c35] [c34] [c32] [c31] [c30] [i7] [i6] [i5] [c28] [i4] [j16] [c23] [i2] [j5] [j3]
Miquel Ferriol
aka: Miquel Ferriol Galmés
aka: Miquel Ferriol Galmés
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