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Results: 54
Number of items: 54
  • Open Access
    Dimoglis, A., Alhamed, F., Dalgkitsis, A., Sgambelluri, A., Paolucci, F., Papagianni, C., & Grosso, P. (2024). In-network Control for Flow Steering. In F. Prudenzano, & M. Marciniak (Eds.), 24th ICTON 2024 - International Conference on Transparent Optical Networks: July 14th-18th, 2024, Bari, Italy : conference proceedings (pp. 290-293). IEEE. https://doi.org/10.1109/ICTON62926.2024.10647782
  • Open Access
    De Vleeschauwer, D., Wassing, T. J., De Schepper, K., Chang, C.-Y., & Papagianni, C. (2024). Application-Driven Traffic Differentiation. In 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit): Antwerp, Belgium, 3-6 June 2024 (pp. 1049-1054). IEEE. https://doi.org/10.1109/EuCNC/6GSummit60053.2024.10597104
  • Open Access
    Dimoglis, A., de Almeida, L. C., Papadopoulos, K., Papagianni, C., Papadimitriou, P., & Grosso, P. (2024). Lightweight INT on the Tofino programmable switch. In ACM MobiCom '24: Proceedings of the 30th International Conference on Mobile Computing and Networking : November 18-November 22, 2024, Washington D.C., DC, USA (pp. 2430–2435). Association for Computing Machinery. https://doi.org/10.1145/3636534.3696729
  • Open Access
    Yang, Z., Papagianni, C., Belloum, A. S. Z., & Grosso, P. (2024). An Architectural Framework for 6G Network Digital Twins System. In ACM MobiCom '24: Proceedings of the 30th International Conference on Mobile Computing and Networking : November 18-November 22, 2024, Washington D.C., DC, USA (pp. 2436–2440). Association for Computing Machinery. https://doi.org/10.1145/3636534.3696730
  • Open Access
    Zhang, Z., Papagianni, C., Speelman, F., & Grosso, P. (2024). Toward Complete Quantum Network Stacks: A Survey. IEEE Network, 38(5), 153-159. https://doi.org/10.1109/MNET.2024.3402951
  • Open Access
    Dalgkitsis, A., Koufakis, A., Stutterheim, J., Mifsud, A., Atwani, P., Gommans, L., de Laat, C., Papagianni, C., & Oprescu, A. (2024). Secure Collaborative Model Training with Dynamic Federated Learning in Multi-Domain Environments. In Proceedings of SC24-W: workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis : Atlanta, Georgia, November 17-22, 2024 (pp. 755-759). IEEE. https://doi.org/10.1109/scw63240.2024.00107
  • Pongrácz, G., Mihály, A., Gódor, I., Laki, S., Nanos, A., & Papagianni, C. (2023). Towards extreme network KPIs with programmability in 6G. In MobiHoc '23: Proceedings of the 2023 International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing : October 23-26, 2023, Washington, DC, USA (pp. 340-345). Association for Computing Machinery. https://doi.org/10.1145/3565287.3617610
  • Hsu, C. S.-H., De Vleeschauwer, D., & Papagianni, C. (2023). SLA Decomposition for Network Slicing: A Deep Neural Network Approach. IEEE Networking Letters, 5(4), 294-298. https://doi.org/10.1109/LNET.2023.3310359
  • Open Access
    Hsu, CS.-H., Martín-Pérez, J., Papagianni, C., & Grosso, P. (2023). V2N Service Scaling with Deep Reinforcement Learning. In K. Akkaya, O. Festor, C. Fung, M. A. Rahman, L. Zambenedetti Granville, & C. R. Paula dos Santos (Eds.), Proceedings of IEEE/IFIP Network Operations and Management Symposium 2023: 8-12 May 2023 : NOMS (pp. 725-729). IEEE. https://doi.org/10.1109/NOMS56928.2023.10154358
  • Open Access
    Papadopoulos, K., Papadimitriou, P., & Papagianni, C. (2023). Deterministic and Probabilistic P4-Enabled Lightweight In-Band Network Telemetry. IEEE Transactions on Network and Service Management, 20(4), 4909 - 4922. https://doi.org/10.1109/TNSM.2023.3301839
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