Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog. - Valeria Cardellini; Francesco Lo Presti; Matteo Nardelli 001; Gabriele Russo Russo (Euro-Par Workshops, 2017)

Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach. - Valeria Cardellini; Francesco Lo Presti; Matteo Nardelli 001; Gabriele Russo Russo (InfQ@VALUETOOLS, 2017)

A Multi-level Elasticity Framework for Distributed Data Stream Processing. - Matteo Nardelli 001; Gabriele Russo Russo; Valeria Cardellini; Francesco Lo Presti (Euro-Par Workshops, 2018)

Towards Decentralized Auto-Scaling Policies for Data Stream Processing Applications. - Gabriele Russo Russo (ZEUS, 2018)

Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach. - Gabriele Russo Russo; Matteo Nardelli 001; Valeria Cardellini; Francesco Lo Presti (Algorithms, 2018)

Optimal operator deployment and replication for elastic distributed data stream processing. - Valeria Cardellini; Francesco Lo Presti; Matteo Nardelli 001; Gabriele Russo Russo (Concurr. Comput. Pract. Exp., 2018)

Decentralized self-adaptation for elastic Data Stream Processing. - Valeria Cardellini; Francesco Lo Presti; Matteo Nardelli 001; Gabriele Russo Russo (Future Gener. Comput. Syst., 2018)

Self-Adaptive Data Stream Processing in Geo-Distributed Computing Environments. - Gabriele Russo Russo (DEBS, 2019)

Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources. - Gabriele Russo Russo; Valeria Cardellini; Francesco Lo Presti (DEBS, 2019)

Model-based auto-scaling of distributed data stream processing applications. - Gabriele Russo Russo (Middleware Doctoral Symposium, 2020)

MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing. - Gabriele Russo Russo; Valeria Cardellini; Giuliano Casale; Francesco Lo Presti (CCGRID, 2021)

Elastic Pulsar Functions for Distributed Stream Processing. - Gabriele Russo Russo; Antonio Schiazza; Valeria Cardellini (ICPE (Companion), 2021)

Real-time analysis of market data leveraging Apache Flink. - Cecilia Calavaro; Gabriele Russo Russo; Valeria Cardellini (DEBS, 2022)

Towards QoS-Aware Function Composition Scheduling in Apache OpenWhisk. - Gabriele Russo Russo; Alfredo Milani; Stefano Iannucci; Valeria Cardellini (PerCom Workshops, 2022)

Runtime Adaptation of Data Stream Processing Systems: The State of the Art. - Valeria Cardellini; Francesco Lo Presti; Matteo Nardelli 001; Gabriele Russo Russo (ACM Comput. Surv., 2022)

Compute Continuum: What Lies Ahead? - Matteo Nardelli 001; Gabriele Russo Russo; Valeria Cardellini (Euro-Par Workshops (1), 2023)

Serverless Functions in the Cloud-Edge Continuum: Challenges and Opportunities. - Gabriele Russo Russo; Valeria Cardellini; Francesco Lo Presti (PDP, 2023)

Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum. - Gabriele Russo Russo; Tiziana Mannucci; Valeria Cardellini; Francesco Lo Presti (PERCOM, 2023)

Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum. - Gabriele Russo Russo; Tiziana Mannucci; Valeria Cardellini; Francesco Lo Presti (PerCom Workshops, 2023)

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum. - Federica Filippini; Riccardo Cavadini; Danilo Ardagna; Riccardo Lancellotti; Gabriele Russo Russo; Valeria Cardellini; Francesco Lo Presti (UCC, 2023)

Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications. - Gabriele Russo Russo (ICPE (Companion), 2023)

Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources. - Gabriele Russo Russo; Valeria Cardellini; Francesco Lo Presti (ACM Trans. Auton. Adapt. Syst., 2023)

Towards a Multi-Armed Bandit Approach for Adaptive Load Balancing in Function-as-a-Service Systems. - Gabriele Russo Russo; Enrico D'Alessandro; Valeria Cardellini; Francesco Lo Presti (ACSOS-C, 2024)

Towards Energy-Aware Execution and Offloading of Serverless Functions. - Cecilia Calavaro; Gabriele Russo Russo; Martina Salvati; Valeria Cardellini; Francesco Lo Presti (FRAME@HPDC, 2024)

Artifact: Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser. - Anton Semjonov; Heiko Bornholdt; Janick Edinger; Gabriele Russo Russo (PerCom Workshops, 2024)

Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser. - Anton Semjonov; Heiko Bornholdt; Janick Edinger; Gabriele Russo Russo (PerCom Workshops, 2024)

Function Offloading and Data Migration for Stateful Serverless Edge Computing. - Matteo Nardelli 001; Gabriele Russo Russo (ICPE, 2024)

Efficient Probabilistic Workflow Scheduling for IaaS Clouds. - Gabriele Russo Russo; Romolo Marotta; Flavio Cordari; Francesco Quaglia; Valeria Cardellini; Pierangelo di Sanzo (CoRR, 2024)

QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum. - Gabriele Russo Russo; Daniele Ferrarelli; Diana Pasquali; Valeria Cardellini; Francesco Lo Presti (Future Gener. Comput. Syst., 2024)

A framework for offloading and migration of serverless functions in the Edge-Cloud Continuum. - Gabriele Russo Russo; Valeria Cardellini; Francesco Lo Presti (Pervasive Mob. Comput., 2024)

Towards QoS-Aware Serverless Function Offloading in the Edge-Cloud Continuum through Reinforcement Learning. - Gabriele Russo Russo; Pierpaolo Spaziani; Valeria Cardellini (IPDPS (Workshops), 2025)

Wasteless: An Optimal Provisioner for Self-Adaptive Second-Generation Serverless Applications. - Emilio Incerto; Roberto Pizziol; Gabriele Russo Russo; Mirco Tribastone (SEAMS@ICSE, 2025)

Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms. - Francesca Righetti; Biagio Cornacchia; Gabriele Russo Russo; Nicola Tonellotto; Valeria Cardellini; Carlo Vallati (SMARTCOMP, 2025)