Follow
Gabriele Russo Russo
Gabriele Russo Russo
Research Associate, University of Rome Tor Vergata
Verified email at ing.uniroma2.it - Homepage
Title
Cited by
Cited by
Year
Decentralized self-adaptation for elastic Data Stream Processing
V Cardellini, F Lo Presti, M Nardelli, G Russo Russo
Future Generation Computer Systems, 2018
852018
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
622018
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 and …, 2019
412019
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
342022
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
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 Internet …, 2021
132021
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 Communications …, 2023
112023
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
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
102017
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 International …, 2019
92019
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 Communications …, 2022
72022
Serverless functions in the cloud-edge continuum: Challenges and opportunities
GR Russo, V Cardellini, FL Presti
2023 31st Euromicro International Conference on Parallel, Distributed and …, 2023
52023
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 Artificial …, 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
Self-Adaptive Data Stream Processing in Geo-Distributed Computing Environments
G Russo Russo
Proceedings of the 13th ACM International Conference on Distributed and …, 2019
42019
Model-based auto-scaling of distributed data stream processing applications
G Russo Russo
Proceedings of the 21st International Middleware Conference Doctoral …, 2020
32020
Towards Decentralized Auto-Scaling Policies for Data Stream Processing Applications
G Russo Russo
ZEUS 2018, 40, 2018
3*2018
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
2*2023
Elastic pulsar functions for distributed stream processing
G Russo Russo, A Schiazza, V Cardellini
Companion of the ACM/SPEC International Conference on Performance …, 2021
22021
Real-time analysis of market data leveraging Apache Flink
C Calavaro, GR Russo, V Cardellini
Proceedings of the 16th ACM International Conference on Distributed and …, 2022
12022
The system can't perform the operation now. Try again later.
Articles 1–20