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Results: 54
Number of items: 54
  • Open Access
    Vogt, F. G., Lopes, V. H. S., Rodriguez, F., Caggiani Luizelli, M., Papagianni, C., & Rothenberg, C. (2025). DEMO: The GhostTwin: Towards Live Digital Twins via SmartNIC Network Emulation. In SIGCOMM '25: Proceedings of the 2025 ACM SIGCOMM 2025 Posters and Demos : September 8-11, 2025, Coimbra, Portugal (pp. 187-189). Association for Computing Machinery. https://doi.org/10.1145/3744969.3748450
  • Open Access
    Dalgkitsis, A., Hsu, C., Papagianni, C., Grosso, P., & de Laat, C. (2025). LLM-based Optimization Algorithm Selection for High-Performance Networks Orchestration. In Proceedings of 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis (SC 2025 Workshops): 16-21 Nov 2025, St. Louis, MO, USA (pp. 854-859). Association for Computing Machinery. https://doi.org/10.1145/3731599.3767458
  • Open Access
    De Vleeschauwer, D., Chang, C.-Y., De Schepper, K., & Papagianni, C. (2025). Application-centric congestion control. Eurasip Journal on Wireless Communications and Networking, 2025, Article 45. https://doi.org/10.1186/s13638-025-02473-w
  • Open Access
    Alhamed, F., Sgambelluri, A., Papagianni, C., & Paolucci, F. (2025). In-band Collection and Control of End-to-end Latency in Programmable Packet-Optical Networks. In 2025 Optical Fiber Communications Conference and Exhibition (OFC): Proceedings : San Francisco, California, USA, 30 March-3 April 2025 (pp. 449-451). Optica Publishing Group. https://doi.org/10.1364/OFC.2025.M3H.4
  • Open Access
    Yang, Z., Vogt, F., Belloum, A., Rothenberg, C., Grosso, P., & Papagianni, C. (2025). Adaptive Digital Twin Synchronization: A Mechanism for Where, When, and What to Measure. In CoNEXT-SW '25: Proceedings of the CoNEXT '25 Student workshop, co-Located with CONEXT 2025 : December 1-4, 2025, Hong Kong, Hong Kong (pp. 9-10). Association for Computing Machinery. https://doi.org/10.1145/3769700.3771695
  • Open Access
    Hsu, CS.-H., Martín-Pérez, J., De Vleeschauwer, D., Valcarenghi, L., Li, X., & Papagianni, C. (2025). A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning. IEEE Transactions on Network and Service Management, 22(4), 3262-3280. https://doi.org/10.1109/TNSM.2025.3570102
  • Open Access
    Dalgkitsis, A., Zerna Torres, J. E., Dimoglis, A., Avgeris, M., Papagianni, C., & Grosso, P. (2025). Programmable & Trustworthy Data Paths for Sovereign Network Services. In C. Cojocaru, S. Spadaro, & M. Marciniak (Eds.), ICTON 2025 : 25th Anniversary International Conference on Transparent Optical Networks: Barcelona, Catalonia, Spain, July 6-10, 2025 : conference proceedings (pp. 29-32). IEEE. https://doi.org/10.1109/ICTON67126.2025.11125298
  • Hsu, C., Martín-Pérez, J., Papagianni, C., & Grosso, P. (2024, September 25). Dataset for Elastic Resource Scaling [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13838059
  • Hsu, C., De Vleeschauwer, D., & Papagianni, C. (2024, September 25). Dataset for SLAs Decomposition [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13837936
  • Open Access
    de Almeida, L. C., Dias da Silva, W. R., Tavares, T. C., Pasquini, R., Papagianni, C., & Verdi, F. L. (2024). DESiRED — Dynamic, Enhanced, and Smart iRED: A P4-AQM with Deep Reinforcement Learning and In-band Network Telemetry. Computer Networks, 244, Article 110326. https://doi.org/10.1016/j.comnet.2024.110326
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