Machine learning for networking: Workflow, advances and opportunities M Wang, Y Cui, X Wang, S Xiao, J Jiang Ieee Network 32 (2), 92-99, 2017 | 534 | 2017 |
Diamond: Nesting the Data Center Network with Wireless Rings in 3D Space Y Cui, S Xiao, X Wang, Z Yang, C Zhu, X Li, L Yang, N Ge 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2016), 2016 | 80 | 2016 |
Performance-aware energy optimization on mobile devices in cellular network Y Cui, S Xiao, X Wang, Z Lai, Z Yang, M Li, H Wang IEEE Transactions on Mobile Computing 16 (4), 1073-1089, 2016 | 66 | 2016 |
Deep-q: Traffic-driven qos inference using deep generative network S Xiao, D He, Z Gong Proceedings of the 2018 Workshop on Network Meets AI & ML, 67-73, 2018 | 64 | 2018 |
Neural network meets DCN: Traffic-driven topology adaptation with deep learning M Wang, Y Cui, S Xiao, X Wang, D Yang, K Chen, J Zhu Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (2 …, 2018 | 64 | 2018 |
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 | 60 | 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 | 58 | 2022 |
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 37 (3), 146-153, 2022 | 51 | 2022 |
Data centers as software defined networks: Traffic redundancy elimination with wireless cards at routers Y Cui, S Xiao, C Liao, I Stojmenovic, M Li IEEE Journal on Selected Areas in Communications 31 (12), 2658-2672, 2013 | 47 | 2013 |
Is machine learning ready for traffic engineering optimization? G Bernárdez, J Suárez-Varela, A López, B Wu, S Xiao, X Cheng, ... 2021 IEEE 29th International Conference on Network Protocols (ICNP), 1-11, 2021 | 34 | 2021 |
RouteNet-Fermi: Network modeling with graph neural networks M Ferriol-Galmés, J Paillisse, J Suárez-Varela, K Rusek, S Xiao, X Shi, ... IEEE/ACM transactions on networking 31 (6), 3080-3095, 2023 | 33 | 2023 |
Routenet-erlang: A graph neural network for network performance evaluation M Ferriol-Galmés, K Rusek, J Suárez-Varela, S Xiao, X Shi, X Cheng, ... IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2018-2027, 2022 | 30 | 2022 |
Building a digital twin for network optimization using graph neural networks M Ferriol-Galmés, J Suárez-Varela, J Paillissé, X Shi, S Xiao, X Cheng, ... Computer Networks 217, 109329, 2022 | 29 | 2022 |
Ignnition: Bridging the gap between graph neural networks and networking systems D Pujol-Perich, J Suárez-Varela, M Ferriol, S Xiao, B Wu, ... IEEE network 35 (6), 171-177, 2021 | 24 | 2021 |
The graph neural networking challenge: a worldwide competition for education in ai/ml for networks J Suárez-Varela, M Ferriol-Galmés, A López, P Almasan, G Bernárdez, ... ACM SIGCOMM Computer Communication Review 51 (3), 9-16, 2021 | 24 | 2021 |
Traffic-aware virtual machine migration in topology-adaptive DCN S Xiao, Y Cui, X Wang, Z Yang, S Yan, L Yang 2016 IEEE 24th International Conference on Network Protocols (ICNP), 1-10, 2016 | 21 | 2016 |
Neural packet routing S Xiao, H Mao, B Wu, W Liu, F Li Proceedings of the Workshop on Network Meets AI & ML, 28-34, 2020 | 18 | 2020 |
Cost-efficient scheduling of bulk transfers in inter-datacenter WANs Z Yang, Y Cui, X Wang, Y Liu, M Li, S Xiao, C Li IEEE/ACM Transactions on Networking 27 (5), 1973-1986, 2019 | 18 | 2019 |
Traffic-aware virtual machine migration in topology-adaptive DCN Y Cui, Z Yang, S Xiao, X Wang, S Yan IEEE/ACM Transactions on Networking 25 (6), 3427-3440, 2017 | 17 | 2017 |
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning P Almasan, S Xiao, X Cheng, X Shi, P Barlet-Ros, A Cabellos-Aparicio Computer Networks 214, 109166, 2022 | 14 | 2022 |