Diego Rughetti
TitoloCitata daAnno
Machine learning-based self-adjusting concurrency in software transactional memory systems
D Rughetti, P Di Sanzo, B Ciciani, F Quaglia
2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation …, 2012
542012
Analytical/ml mixed approach for concurrency regulation in software transactional memory
D Rughetti, P Di Sanzo, B Ciciani, F Quaglia
2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2014
312014
Auto-tuning of cloud-based in-memory transactional data grids via machine learning
P Di Sanzo, D Rughetti, B Ciciani, F Quaglia
2012 Second Symposium on Network Cloud Computing and Applications, 9-16, 2012
292012
Regulating concurrency in software transactional memory: An effective model-based approach
P Di Sanzo, F Del Re, D Rughetti, B Ciciani, F Quaglia
2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing …, 2013
242013
System and method for trusted provisioning and authentication for networked devices in cloud-based IoT/M2M platforms
M Carrer, C De Alti, D Rughetti, A Abramo, S Adami
US Patent 9,762,392, 2017
212017
Automatic tuning of the parallelism degree in hardware transactional memory
D Rughetti, P Romano, F Quaglia, B Ciciani
European Conference on Parallel Processing, 475-486, 2014
182014
A framework for high performance simulation of transactional data grid platforms
P Di Sanzo, F Antonacci, B Ciciani, R Palmieri, A Pellegrini, S Peluso, ...
Proceedings of the 6th International ICST Conference on Simulation Tools and …, 2013
142013
Apart: Low cost active replication for multi-tier data acquisition systems
P Romano, D Rughetti, F Quaglia, B Ciciani
2008 Seventh IEEE International Symposium on Network Computing and …, 2008
102008
Adaptive transactional memories: Performance and energy consumption tradeoffs
D Rughetti, P Di Sanzo, A Pellegrini
2014 IEEE 3rd Symposium on Network Cloud Computing and Applications (ncca …, 2014
92014
Tuning the level of concurrency in software transactional memory: An overview of recent analytical, machine learning and mixed approaches
D Rughetti, P Di Sanzo, A Pellegrini, B Ciciani, F Quaglia
Transactional Memory. Foundations, Algorithms, Tools, and Applications, 395-417, 2015
72015
Providing transaction class-based qos in in-memory data grids via machine learning
P Di Sanzo, F Molfese, D Rughetti, B Ciciani
2014 IEEE 3rd Symposium on Network Cloud Computing and Applications (ncca …, 2014
72014
Dynamic feature selection for machine-learning based concurrency regulation in STM
D Rughetti, P Di Sanzo, B Ciciani, F Quaglia
2014 22nd Euromicro International Conference on Parallel, Distributed, and …, 2014
52014
Self-optimizing concurrency in software transactional memory via model-based approach
P Di Sanzo, F Del Re, D Rughetti, B Ciciani, F Quaglia
Department of Computer, Control, and Management Engineering, Universita di …, 2013
22013
Machine learning-based thread-parallelism regulation in software transactional memory
D Rughetti, P Di Sanzo, B Ciciani, F Quaglia
Journal of Parallel and Distributed Computing 109, 208-229, 2017
12017
Autonomic concurrency regulation in software transactional memories
D Rughetti
Ph. D. thesis, Sapienza University of Rome, 2014
12014
Machine Learning Based Dynamic Reconfiguration of Distributed Data Management Systems
D Rughetti, P DI SANZO, F Quaglia
Quantitative Assessments of Distributed Systems: Methodologies and …, 2015
2015
Workload-Oblivious Self-Tuning of Intel TSX
N Diegues, P Romano, A Rigo, R Meier, R Quislant, E Gutiérrez, ...
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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