Gabriele Russo Russo

37 papers A* 1B 3C 1Misc 1Journal 10Unranked 21
YearRankTypeTitle / Venue / Authors
2026 — conf
Energy- and Quantization-aware DNN Partitioning in the Edge-Cloud Continuum (Work In Progress Paper).
ICPE Companion
Simone Nicosanti, Gabriele Russo Russo, Valeria Cardellini
2026 J jnl
Introduction to the Special Issue on Artificial Intelligence for Adaptive and Autonomous Cloud/Edge Computing Systems.
ACM Trans. Auton. Adapt. Syst.
Gabriele Russo Russo, Valeria Cardellini, Ivana Dusparic, Stefano Iannucci
2025 — conf
A Bootstrapping Technique for Reducing the Costs of Machine Learning Models for Predicting Execution Times in IaaS Clouds.
SoCC
Romolo Marotta, Gabriele Russo Russo, Francesco Quaglia, Pierangelo di Sanzo
2025 J jnl
Beyond Cloud: Serverless Functions in the Compute Continuum.
SN Comput. Sci.
Cecilia Calavaro, Valeria Cardellini, Francesco Lo Presti, Gabriele Russo Russo
2025 B conf
Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms.
SMARTCOMP
Francesca Righetti, Biagio Cornacchia, Gabriele Russo Russo, Nicola Tonellotto, Valeria Cardellini, Carlo Vallati
2025 — conf
Towards QoS-Aware Serverless Function Offloading in the Edge-Cloud Continuum through Reinforcement Learning.
IPDPS (Workshops)
Gabriele Russo Russo, Pierpaolo Spaziani, Valeria Cardellini
2025 — conf
Wasteless: An Optimal Provisioner for Self-Adaptive Second-Generation Serverless Applications.
SEAMS@ICSE
Emilio Incerto, Roberto Pizziol, Gabriele Russo Russo, Mirco Tribastone
2024 J jnl
A framework for offloading and migration of serverless functions in the Edge-Cloud Continuum.
Pervasive Mob. Comput.
Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
2024 — conf
Artifact: Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser.
PerCom Workshops
Anton Semjonov, Heiko Bornholdt, Janick Edinger, Gabriele Russo Russo
2024 J jnl
Efficient Probabilistic Workflow Scheduling for IaaS Clouds.
CoRR
Gabriele Russo Russo, Romolo Marotta, Flavio Cordari, Francesco Quaglia, Valeria Cardellini, Pierangelo di Sanzo
2024 B conf
Function Offloading and Data Migration for Stateful Serverless Edge Computing.
ICPE
Matteo Nardelli, Gabriele Russo Russo
2024 J jnl
QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum.
Future Gener. Comput. Syst.
Gabriele Russo Russo, Daniele Ferrarelli, Diana Pasquali, Valeria Cardellini, Francesco Lo Presti
2024 — conf
Towards Energy-Aware Execution and Offloading of Serverless Functions.
FRAME@HPDC
Cecilia Calavaro, Gabriele Russo Russo, Martina Salvati, Valeria Cardellini, Francesco Lo Presti
2024 — conf
Towards a Multi-Armed Bandit Approach for Adaptive Load Balancing in Function-as-a-Service Systems.
ACSOS-C
Gabriele Russo Russo, Enrico D'Alessandro, Valeria Cardellini, Francesco Lo Presti
2024 — conf
Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser.
PerCom Workshops
Anton Semjonov, Heiko Bornholdt, Janick Edinger, Gabriele Russo Russo
2023 — conf
Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum.
PerCom Workshops
Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti
2023 — conf
Compute Continuum: What Lies Ahead?
Euro-Par Workshops (1)
Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini
2023 Misc conf
FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum.
UCC
Federica Filippini, Riccardo Cavadini, Danilo Ardagna, Riccardo Lancellotti, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
2023 J jnl
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources.
ACM Trans. Auton. Adapt. Syst.
Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
2023 A* conf
Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum.
PERCOM
Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti
2023 C conf
Serverless Functions in the Cloud-Edge Continuum: Challenges and Opportunities.
PDP
Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
2023 — conf
Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications.
ICPE (Companion)
Gabriele Russo Russo
2022 — conf
Real-time analysis of market data leveraging Apache Flink.
DEBS
Cecilia Calavaro, Gabriele Russo Russo, Valeria Cardellini
2022 J jnl
Runtime Adaptation of Data Stream Processing Systems: The State of the Art.
ACM Comput. Surv.
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo
2022 — conf
Towards QoS-Aware Function Composition Scheduling in Apache OpenWhisk.
PerCom Workshops
Gabriele Russo Russo, Alfredo Milani, Stefano Iannucci, Valeria Cardellini
2021 — conf
Elastic Pulsar Functions for Distributed Stream Processing.
ICPE (Companion)
Gabriele Russo Russo, Antonio Schiazza, Valeria Cardellini
2021 B conf
MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing.
CCGRID
Gabriele Russo Russo, Valeria Cardellini, Giuliano Casale, Francesco Lo Presti
2020 — conf
Model-based auto-scaling of distributed data stream processing applications.
Middleware Doctoral Symposium
Gabriele Russo Russo
2019 — conf
Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources.
DEBS
Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
2019 — conf
Self-Adaptive Data Stream Processing in Geo-Distributed Computing Environments.
DEBS
Gabriele Russo Russo
2018 — conf
A Multi-level Elasticity Framework for Distributed Data Stream Processing.
Euro-Par Workshops
Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
2018 J jnl
Decentralized self-adaptation for elastic Data Stream Processing.
Future Gener. Comput. Syst.
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo
2018 J jnl
Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach.
Algorithms
Gabriele Russo Russo, Matteo Nardelli, Valeria Cardellini, Francesco Lo Presti
2018 J jnl
Optimal operator deployment and replication for elastic distributed data stream processing.
Concurr. Comput. Pract. Exp.
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo
2018 — conf
Towards Decentralized Auto-Scaling Policies for Data Stream Processing Applications.
ZEUS
Gabriele Russo Russo
2017 — conf
Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach.
InfQ@VALUETOOLS
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo
2017 — conf
Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog.
Euro-Par Workshops
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo