| Learning to Sail Dynamic Networks: The MARLIN Reinforcement Learning Framework for Congestion Control in Tactical Environments R Galliera, M Zaccarini, A Morelli, R Fronteddu, F Poltronieri, N Suri, ... MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 424-429, 2023 | 3 | 2023 |
| Modeling Digital Twins of Kubernetes-Based Applications D Borsatti, W Cerroni, L Foschini, GY Grabarnik, F Poltronieri, D Scotece, ... 2023 IEEE Symposium on Computers and Communications (ISCC), 219-224, 2023 | 3 | 2023 |
| Enabling adaptive communications at the tactical edge C Barz, E Cramer, R Fronteddu, M Hauge, K Marcus, J Nilsson, ... MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM), 1038-1044, 2022 | 3 | 2022 |
| Reinforcement Learning vs. Computational Intelligence: Comparing Service Management Approaches for the Cloud Continuum F Poltronieri, C Stefanelli, M Tortonesi, M Zaccarini Future Internet 15 (11), 359, 2023 | 2 | 2023 |
| Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach L Manca, D Borsatti, F Poltronieri, M Zaccarini, D Scotece, G Davoli, ... 2023 19th International Conference on Network and Service Management (CNSM), 1-9, 2023 | 1 | 2023 |
| VOICE: Value-of-Information for Compute Continuum Ecosystems M Zaccarini, B Cantelli, M Fazio, W Fornaciari, F Poltronieri, C Stefanelli, ... 2024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN …, 2024 | | 2024 |
| Using Simulation and DT to Improve Performance of Systems Operation Modeling GY Grabarnik, F Poltronieri, M Tortonesi, M Zaccarini, L Shwartz Proceedings of the 33rd Annual International Conference on Computer Science …, 2023 | | 2023 |
