Publications

2021

G. Russo Russo, V. Cardellini, F. Lo Presti, M. Nardelli
Towards a Security-aware Deployment of Data Streaming Applications in Fog Computing
In Fog/Edge Computing for Security,Privacy, and Applications, W. Chang and J. Wu (eds.)
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2020

G. Russo Russo
Model-based Auto-Scaling of Distributed Data Stream Processing Applications
Proc. of Middleware ‘20 Doctoral Symposium
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2019

G. Russo Russo, V. Cardellini, F. Lo Presti
Reinforcement learning based policies for elastic stream processing on heterogeneous resources
Proc. of DEBS 2019
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G. Russo Russo
Self-Adaptive Data Stream Processing in Geo-Distributed Computing Environments
Proc. of DEBS 2019
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2018

M. Nardelli, G. Russo Russo, V. Cardellini, F. Lo Presti
A Multi-level Elasticity Framework for Distributed Data Stream Processing
International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2018), in conjunction with Euro-Par 2018, Turin, Italy, August 2018
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V. Cardellini, F. Lo Presti, M. Nardelli, G. Russo Russo
Optimal operator deployment and replication for elastic distributed data stream processing
Concurrency and Computation: Practice & Experience, Vol. 30, No. 9, May 2018
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V. Cardellini, F. Lo Presti, M. Nardelli, G. Russo Russo
Decentralized self-adaptation for elastic Data Stream Processing
Future Generation Computer Systems, vol. 87, pp. 171–185
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G. Russo Russo, M. Nardelli, V. Cardellini, F. Lo Presti
Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach
Algorithms, vol. 11(9).
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G. Russo Russo
Towards Decentralized Auto-Scaling Policies for Data Stream Processing Applications
Proc. of 10th ZEUS Workshop (ZEUS 2018), Dresden, Germany, February 2018.
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2017

V. Cardellini, F. Lo Presti, M. Nardelli, G. Russo Russo
Towards hierarchical autonomous control for elastic data stream processing in the fog
International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2017), Santiago de Compostela, Spain, August 2017
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V. Cardellini, F. Lo Presti, M. Nardelli, G. Russo Russo
Auto-scaling in Data Stream Processing: a Model Based Reinforcement Learning Approach
InfQ 2017 - New Frontiers in Quantitative Methods in Informatics, Communications in Computer and Information Science, Vol. 825, Springer, 2018.
abstract doi pdf