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Gabriele Russo Russo
Gabriele Russo Russo
Research Associate, University of Rome Tor Vergata
Email verificata su ing.uniroma2.it - Home page
Titolo
Citata da
Citata da
Anno
Decentralized self-adaptation for elastic Data Stream Processing
V Cardellini, F Lo Presti, M Nardelli, G Russo Russo
Future Generation Computer Systems, 2018
902018
Optimal operator deployment and replication for elastic distributed data stream processing
V Cardellini, F Lo Presti, M Nardelli, G Russo Russo
Concurrency and Computation: Practice and Experience 30 (9), e4334, 2018
642018
Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources
G Russo Russo, V Cardellini, F Lo Presti
Proceedings of the 13th ACM International Conference on Distributed andá…, 2019
422019
Runtime adaptation of data stream processing systems: The state of the art
V Cardellini, F Lo Presti, M Nardelli, GR Russo
ACM Computing Surveys 54 (11s), 1-36, 2022
402022
Multi-level elasticity for wide-area data streaming systems: a reinforcement learning approach
G Russo Russo, M Nardelli, V Cardellini, F Lo Presti
Algorithms 11 (9), 134, 2018
252018
Serverledge: Decentralized function-as-a-service for the edge-cloud continuum
GR Russo, T Mannucci, V Cardellini, FL Presti
2023 IEEE International Conference on Pervasive Computing and Communicationsá…, 2023
192023
MEAD: Model-based vertical auto-scaling for data stream processing
GR Russo, V Cardellini, G Casale, FL Presti
2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internetá…, 2021
132021
Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach
V Cardellini, F Lo Presti, M Nardelli, G Russo Russo
Workshop on New Frontiers in Quantitative Methods in Informatics, 97-110, 2017
112017
Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog
V Cardellini, FL Presti, M Nardelli, G Russo Russo
European Conference on Parallel Processing, 106-117, 2017
112017
Towards qos-aware function composition scheduling in apache openwhisk
GR Russo, A Milani, S Iannucci, V Cardellini
2022 IEEE International Conference on Pervasive Computing and Communicationsá…, 2022
92022
A multi-level elasticity framework for distributed data stream processing
M Nardelli, G Russo Russo, V Cardellini, F Lo Presti
Euro-Par 2018: Parallel Processing Workshops: Euro-Par 2018 Internationalá…, 2019
92019
Serverless functions in the cloud-edge continuum: Challenges and opportunities
GR Russo, V Cardellini, FL Presti
2023 31st Euromicro International Conference on Parallel, Distributed andá…, 2023
72023
Self-Adaptive Data Stream Processing in Geo-Distributed Computing Environments
G Russo Russo
Proceedings of the 13th ACM International Conference on Distributed andá…, 2019
52019
AI‐Driven Performance Management in Data‐Intensive Applications
A Alnafessah, G Russo Russo, V Cardellini, G Casale, F Lo Presti
Communication Networks and Service Management in the Era of Artificialá…, 2021
42021
Towards a security-aware deployment of data streaming applications in fog computing
G Russo Russo, V Cardellini, FL Presti, M Nardelli
Fog/Edge Computing For Security, Privacy, and Applications, 355-385, 2021
42021
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources
G Russo Russo, V Cardellini, F Lo Presti
ACM Transactions on Autonomous and Adaptive Systems 18 (4), 1-44, 2023
3*2023
Model-based auto-scaling of distributed data stream processing applications
G Russo Russo
Proceedings of the 21st International Middleware Conference Doctoralá…, 2020
32020
Towards Decentralized Auto-Scaling Policies for Data Stream Processing Applications
G Russo Russo
ZEUS 2018, 40, 2018
3*2018
QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum
GR Russo, D Ferrarelli, D Pasquali, V Cardellini, FL Presti
Future Generation Computer Systems, 2024
22024
Real-time analysis of market data leveraging Apache Flink
C Calavaro, GR Russo, V Cardellini
Proceedings of the 16th ACM International Conference on Distributed andá…, 2022
22022
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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