Decentralized self-adaptation for elastic Data Stream Processing V Cardellini, F Lo Presti, M Nardelli, G Russo Russo Future Generation Computer Systems, 2018 | 88 | 2018 |
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 | 63 | 2018 |
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 | 42 | 2019 |
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 | 38 | 2022 |
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 | 25 | 2018 |
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 | 17 | 2023 |
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 | 13 | 2021 |
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 | 11 | 2017 |
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 | 10 | 2017 |
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 | 9 | 2022 |
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 | 9 | 2019 |
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 | 6 | 2023 |
Self-Adaptive Data Stream Processing in Geo-Distributed Computing Environments G Russo Russo Proceedings of the 13th ACM International Conference on Distributed and …, 2019 | 5 | 2019 |
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 | 4 | 2021 |
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 | 4 | 2021 |
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 Doctoral …, 2020 | 3 | 2020 |
Towards Decentralized Auto-Scaling Policies for Data Stream Processing Applications G Russo Russo ZEUS 2018, 40, 2018 | 3* | 2018 |
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 | 2 | 2022 |
Elastic pulsar functions for distributed stream processing G Russo Russo, A Schiazza, V Cardellini Companion of the ACM/SPEC International Conference on Performance …, 2021 | 2 | 2021 |