FILIPPINI FEDERICA
Biography
Federica Filippini received her M.Sc. degree in Mathematical Engineering and her Ph.D. degree cum laude in Information Technology at Politecnico di Milano. She is currently a post-doc researcher at the University of Milano-Bicocca, at the Deparment of Informatics, Systems and Communication. Her research interests include optimization problems applied to resource selection and scheduling in Cloud and distributed environments in the Computing Continuum.
Publications
Filippini, F., Cavenaghi, L., Calmi, N., Savi, M., Ciavotta, M. (2025). ML-Based Performance Modeling in Edge FaaS Systems. In Service-Oriented and Cloud Computing 11th IFIP WG 6.12 European Conference, ESOCC 2025, Bolzano, Italy, February 20–21, 2025, Proceedings (pp.112-127). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-84617-5_10]. Detail
Petriglia, E., Filippini, F., Pracucci, G., Savi, M., Ciavotta, M. (2024). Comparing Actor-Critic and Neuroevolution Approaches for Traffic Offloading in FaaS-powered Edge Systems. In SEATED '24: Proceedings of the 1st Workshop on Serverless at the Edge (pp.17-24). ACM [10.1145/3660319.3660331]. Detail
Filippini, F., Calmi, N., Cavenaghi, L., Petriglia, E., Savi, M., Ciavotta, M. (2024). Analysis and Evaluation of Load Management Strategies in a Decentralized FaaS Environment: A Simulation-Based Framework. In SEATED 2024 - Proceedings of the 2024 Workshop on Serverless at the Edge, Part of: HPDC 2024 - 33rd International Symposium on High-Performance Parallel and Distributed Computing (pp.1-8). ACM [10.1145/3660319.3660329]. Detail
Filippini, F., Lattuada, M., Ciavotta, M., Jahani, A., Ardagna, D., Amaldi, E. (2023). A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems. IEEE TRANSACTIONS ON SERVICES COMPUTING, 16(3), 1630-1646 [10.1109/TSC.2022.3188440]. Detail
Filippini, F., Ardagna, D., Lattuada, M., Amaldi, E., Riedl, M., Materka, K., et al. (2021). ANDREAS: Artificial intelligence traiNing scheDuler for accElerAted resource clusterS. In 2021 8th International Conference on Future Internet of Things and Cloud (FiCloud) (pp.388-393). Institute of Electrical and Electronics Engineers Inc. [10.1109/FiCloud49777.2021.00063]. Detail