RUSSO RUSSO, GABRIELE
RUSSO RUSSO, GABRIELE
Dipartimento di Ingegneria Civile e Ingegneria informatica
A framework for offloading and migration of serverless functions in the Edge–Cloud Continuum
2024-05-01 Russo Russo, G; Cardellini, V; Lo Presti, F
A Multi-level Elasticity Framework for Distributed Data Stream Processing
2019-01-01 Nardelli, M; Russo Russo, G; Cardellini, V; Lo Presti, F
AI‐Driven Performance Management in Data‐Intensive Applications
2021-09-01 Alnafessah, A; Russo Russo, G; Cardellini, V; Casale, G; Lo Presti, F
Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum
2023-06-01 RUSSO RUSSO, G; Mannucci, T; Cardellini, V; LO PRESTI, F
Artifact: Wasimoff: distributed computation offloading using WebAssembly in the browser
2024-01-01 Semjonov, A; Bornholdt, H; Edinger, J; Russo Russo, G
Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach
2018-05-01 Cardellini, V; Lo Presti, F; Nardelli, M; Russo Russo, G
Compute continuum: what lies ahead?
2024-04-01 Nardelli, M; RUSSO RUSSO, G; Cardellini, V
Decentralized self-adaptation for elastic Data Stream Processing
2018-10-01 Cardellini, V; Lo Presti, F; Nardelli, M; Russo Russo, G
Elastic pulsar functions for distributed stream processing
2021-04-01 RUSSO RUSSO, G; Schiazza, A; Cardellini, V
FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum
2024-04-01 Filippini, F; Cavadini, R; Ardagna, D; Lancellotti, R; RUSSO RUSSO, G; Cardellini, V; LO PRESTI, F
Function offloading and data migration for stateful serverless edge computing
2024-01-01 Nardelli, M; RUSSO RUSSO, G
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources
2023-12-01 RUSSO RUSSO, G; Cardellini, V; LO PRESTI, F
MEAD: Model-based vertical auto-scaling for data stream processing
2021-07-01 RUSSO RUSSO, G; Cardellini, V; Casale, G; LO PRESTI, F
Model-based auto-scaling of distributed data stream processing applications
2020-01-01 Russo Russo, G
Multi-level elasticity for wide-area Data Streaming Systems: A reinforcement learning approach
2018-09-01 Russo Russo, G; Nardelli, M; Cardellini, V; Lo Presti, F
Optimal operator deployment and replication for elastic distributed data stream processing
2018-05-01 Cardellini, V; Lo Presti, F; Nardelli, M; Russo Russo, G
QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum
2024-07-01 RUSSO RUSSO, G; Ferrarelli, D; Pasquali, D; Cardellini, V; LO PRESTI, F
Real-time analysis of market data leveraging Apache Flink
2022-07-01 Calavaro, C; Russo Russo, G; Cardellini, V
Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources
2019-06-01 Russo Russo, G; Cardellini, V; Lo Presti, F
Runtime Adaptation of Data Stream Processing Systems: The State of the Art
2022-09-01 Cardellini, V; Lo Presti, F; Nardelli, M; Russo Russo, G
| Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
|---|---|---|---|---|
| 1-mag-2024 | A framework for offloading and migration of serverless functions in the Edge–Cloud Continuum | Russo Russo, G; Cardellini, V; Lo Presti, F | Articolo su rivista | |
| 1-gen-2019 | A Multi-level Elasticity Framework for Distributed Data Stream Processing | Nardelli, M; Russo Russo, G; Cardellini, V; Lo Presti, F | Intervento a convegno | |
| 1-set-2021 | AI‐Driven Performance Management in Data‐Intensive Applications | Alnafessah, A; Russo Russo, G; Cardellini, V; Casale, G; Lo Presti, F | Contributo in libro | |
| 1-giu-2023 | Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum | RUSSO RUSSO, G; Mannucci, T; Cardellini, V; LO PRESTI, F | Intervento a convegno | |
| 1-gen-2024 | Artifact: Wasimoff: distributed computation offloading using WebAssembly in the browser | Semjonov, A; Bornholdt, H; Edinger, J; Russo Russo, G | Intervento a convegno | |
| 1-mag-2018 | Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach | Cardellini, V; Lo Presti, F; Nardelli, M; Russo Russo, G | Intervento a convegno | |
| 1-apr-2024 | Compute continuum: what lies ahead? | Nardelli, M; RUSSO RUSSO, G; Cardellini, V | Intervento a convegno | |
| 1-ott-2018 | Decentralized self-adaptation for elastic Data Stream Processing | Cardellini, V; Lo Presti, F; Nardelli, M; Russo Russo, G | Articolo su rivista | |
| 1-apr-2021 | Elastic pulsar functions for distributed stream processing | RUSSO RUSSO, G; Schiazza, A; Cardellini, V | Intervento a convegno | |
| 1-apr-2024 | FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum | Filippini, F; Cavadini, R; Ardagna, D; Lancellotti, R; RUSSO RUSSO, G; Cardellini, V; LO PRESTI, F | Intervento a convegno | |
| 1-gen-2024 | Function offloading and data migration for stateful serverless edge computing | Nardelli, M; RUSSO RUSSO, G | Intervento a convegno | |
| 1-dic-2023 | Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources | RUSSO RUSSO, G; Cardellini, V; LO PRESTI, F | Articolo su rivista | |
| 1-lug-2021 | MEAD: Model-based vertical auto-scaling for data stream processing | RUSSO RUSSO, G; Cardellini, V; Casale, G; LO PRESTI, F | Intervento a convegno | |
| 1-gen-2020 | Model-based auto-scaling of distributed data stream processing applications | Russo Russo, G | Intervento a convegno | |
| 1-set-2018 | Multi-level elasticity for wide-area Data Streaming Systems: A reinforcement learning approach | Russo Russo, G; Nardelli, M; Cardellini, V; Lo Presti, F | Articolo su rivista | |
| 1-mag-2018 | Optimal operator deployment and replication for elastic distributed data stream processing | Cardellini, V; Lo Presti, F; Nardelli, M; Russo Russo, G | Articolo su rivista | |
| 1-lug-2024 | QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum | RUSSO RUSSO, G; Ferrarelli, D; Pasquali, D; Cardellini, V; LO PRESTI, F | Articolo su rivista | |
| 1-lug-2022 | Real-time analysis of market data leveraging Apache Flink | Calavaro, C; Russo Russo, G; Cardellini, V | Intervento a convegno | |
| 1-giu-2019 | Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources | Russo Russo, G; Cardellini, V; Lo Presti, F | Intervento a convegno | |
| 1-set-2022 | Runtime Adaptation of Data Stream Processing Systems: The State of the Art | Cardellini, V; Lo Presti, F; Nardelli, M; Russo Russo, G | Articolo su rivista |