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Results: 8
Number of items: 8
  • 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
    Hsu, C. S.-H., Papagianni, C., & Grosso, P. (2025). RAILS: Risk-Aware Iterated Local Search for Joint SLA Decomposition and Service Provider Management in Multi-Domain Networks. In 2025 IEEE 26th International Conference on High Performance Switching and Routing: HPSR 2025 : Suita, Osaka, Japan, 20-22 May 2025 (pp. 174-179). IEEE. https://doi.org/10.1109/HPSR64165.2025.11038864
  • 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
    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
  • 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
  • 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
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