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Results: 60
Number of items: 60
  • de Almeida, L. C., Ditarso Maciel, P., Pasquini, R., Papagianni, C., & Verdi, F. L. (2026). iRED: A Disaggregated P4-AQM Fully Implemented in Programmable Data Plane Hardware. IEEE Transactions on Networking, 34, 3091-3107. https://doi.org/10.1109/TON.2026.3651911
  • Open Access
    Vogt, F. G., Lopes, V. H. S., Rodriguez Cesen, F. E., Caggiani Luizelli, M., Patra, G., Rothenberg, C. E., Pongracz, G., & Papagianni, C. (2026). FlexUP: CU-UP Disaggregation on Programmable Data Planes. In P. Chemouil, S. Schmid, I. Fajjari, I. Haque, D. Mattos, D. Borsatti, & H. Parzyjegla (Eds.), 2026 IEEE 12th International Conference on Network Softwarization (NetSoft 2026): 29 June-3 July 2026 : Berlin, Germany : Autonomous and Reliable Softwarized Networks in the Age of Distributed Intelligence : Proceedings (pp. 37-45). IEEE. https://doi.org/10.1109/NetSoft70012.2026.11603417
  • Open Access
    Dalgkitsis, A., Hsu, C. S.-H., Papagianni, C., & Grosso, P. (2026). LLM-ASF6G: LLM-Based Algorithm Selection Framework for 6G Network Service Optimization. In 2026 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit): 2026 EuCNC & 6G Summit - AI4C: 2026 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit): AI/ML Solutions for Communications (pp. 148-155). IEEE. https://doi.org/10.1109/EuCNC/6GSummit68295.2026.11577403
  • Hsu, C. S.-H., Dalgkitsis, A., Grosso, P., & Papagianni, C. (2026). Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning. IEEE Transactions on Network Science and Engineering, 13, 9247-9264. https://doi.org/10.1109/TNSE.2026.3689920
  • Open Access
    Paolucci, F., Paolini, E., Alhamed, F., Satler, M., Uomo, D., Guaitolini, M., Gonzalez, P., Ruiz, M., Velasco, L., Laki, S., Kis, D., Pongracz, G., Mihaly, A., Dalgkitsis, A., Papagianni, C., Nanos, A., Parker, S., Lefebvre, V., Angoustures, M., ... Sgambelluri, A. (2026). End-to-end latency assurance for distributed augmented reality over programmable 6G networks: A DESIRE6G demonstration. Computer Networks, 286, Article 112443. https://doi.org/10.1016/j.comnet.2026.112443
  • Open Access
    Hsu, S.-H. (2026). Machine learning for network slice resource management. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Pacciani, T., Frolich, D., van Binsbergen, L. T., & Papagianni, C. (2025). P4DDG: Data-Dependent Grammars for Packet Specification and Parsing in P4. In A. Shaikhha, S. Erdweg, & N. Amin (Eds.), GPCE '25: Proceedings of the 24th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences : July 3-4, 2025, Bergen, Norway (pp. 54-66). Association for Computing Machinery. https://doi.org/10.1145/3742876.3742879
  • Open Access
    Hsu, C. S.-H., Papagianni, C., Grosso, P., & De Vleeschauwer, D. (2025). Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Network Systems. In 2025 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit): Poznan, Poland, 3-6 June 2025 : proceedings (pp. 55-60). IEEE. https://doi.org/10.1109/EuCNC/6GSummit63408.2025.11037033
  • Open Access
    Vogt, F. G., Yang, Z., Schneider Lopes, V. H., Rodriguez, F., Caggiani Luizelli, M., Rothenberg, C. E., & Papagianni, C. (2025). Poster: QueuePilot: Towards Adaptive Queue Scheduling via Live Digital Twins. In CoNEXT '25: Proceedings of the 21st International Conference on Emerging Networking EXperiments and Technologies : December 1-4, 2025, Hong Kong, Hong Kong (pp. 39-40). Association for Computing Machinery. https://doi.org/10.1145/3765515.3771755
  • Open Access
    Vogt, F. G., Yang, Z., Schneider Lopes, V. H., Rodríguez, F., Caggiani Luizelli, M., Rothenberg, C. E., & Papagianni, C. (2025). Poster: Reconstructing LLM Training Workloads: A Topology- and Model-aware Network Tester. In CoNEXT '25: Proceedings of the 21st International Conference on Emerging Networking EXperiments and Technologies : December 1-4, 2025, Hong Kong, Hong Kong (pp. 41-42). Association for Computing Machinery. https://doi.org/10.1145/3765515.3771757
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