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 | 66 | 2012 |
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 | 59 | 2017 |
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 | 37 | 2014 |
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 | 35 | 2012 |
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 | 29 | 2013 |
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 | 24 | 2014 |
A framework for high performance simulation of transactional data grid platforms P Di Sanzo, A Francesco, B Ciciani, R Palmieri, A Pellegrini, S Peluso, ... SimuTools' 13 Proceedings of the 6th International ICST Conference on …, 2013 | 15 | 2013 |
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 | 13 | 2008 |
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 | 11 | 2014 |
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 | 10 | 2014 |
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 | 9 | 2014 |
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: COST …, 2015 | 8 | 2015 |
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 | 3 | 2017 |
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 | 2 | 2013 |
Autonomic concurrency regulation in software transactional memories D Rughetti Sapienza, University of Rome, 2014 | 1 | 2014 |
Machine Learning Based Dynamic Reconfiguration of Distributed Data Management Systems D Rughetti, P DI SANZO, F Quaglia, B Ciciani Quantitative Assessments of Distributed Systems: Methodologies and …, 2015 | | 2015 |
Raccolta ed elaborazione di dati provenienti da reti di sensori distribuiti D Rughetti Sapienza, University of Rome, 2008 | | 2008 |
Workload-Oblivious Self-Tuning of Intel TSX N Diegues, P Romano, A Rigo, R Meier, R Quislant, E Gutiérrez, ... | | |