| 2025 | CLOUD | A Bootstrapping Technique for Reducing the Costs of Machine Learning Models for Predicting Execution Times in IaaS Clouds. | Romolo Marotta, Gabriele Russo Russo, Francesco Quaglia, Pierangelo di Sanzo |
| 2025 | SEAMS | Wasteless: An Optimal Provisioner for Self-Adaptive Second-Generation Serverless Applications. | Emilio Incerto, Roberto Pizziol, Gabriele Russo Russo, Mirco Tribastone |
| 2025 | SmartComp | Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms. | Francesca Righetti, Biagio Cornacchia, Gabriele Russo Russo, Nicola Tonellotto, Valeria Cardellini, Carlo Vallati |
| 2024 | PERCOM | Artifact: Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser. | Anton Semjonov, Heiko Bornholdt, Janick Edinger, Gabriele Russo Russo |
| 2024 | PERCOM | Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser. | Anton Semjonov, Heiko Bornholdt, Janick Edinger, Gabriele Russo Russo |
| 2023 | EuroPar | Compute Continuum: What Lies Ahead? | Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini |
| 2023 | PDP | Serverless Functions in the Cloud-Edge Continuum: Challenges and Opportunities. | Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti |
| 2023 | PERCOM | Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum. | Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti |
| 2023 | PERCOM | Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum. | Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti |
| 2023 | UCC | FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum. | Federica Filippini, Riccardo Cavadini, Danilo Ardagna, Riccardo Lancellotti, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti |
| 2022 | PERCOM | Towards QoS-Aware Function Composition Scheduling in Apache OpenWhisk. | Gabriele Russo Russo, Alfredo Milani, Stefano Iannucci, Valeria Cardellini |
| 2021 | CCGRID | MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing. | Gabriele Russo Russo, Valeria Cardellini, Giuliano Casale, Francesco Lo Presti |
| 2020 | Middleware | Model-based auto-scaling of distributed data stream processing applications. | Gabriele Russo Russo |
| 2018 | EuroPar | A Multi-level Elasticity Framework for Distributed Data Stream Processing. | Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti |
| 2017 | EuroPar | Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog. | Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo |