Diego Rughetti

发表

Regulating Concurrency in Software Transactional Memory: An Effective Model-based Approach

Bruno Ciciani, Francesco Quaglia, Pierangelo di Sanzo, 2013, 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems.

Adaptive Transactional Memories: Performance and Energy Consumption Tradeoffs

Alessandro Pellegrini, Pierangelo di Sanzo, Diego Rughetti, 2014, 2014 IEEE 3rd Symposium on Network Cloud Computing and Applications (ncca 2014).

Machine Learning Based Dynamic Reconfiguration of Distributed Data Management Systems

Bruno Ciciani, Francesco Quaglia, Pierangelo Di Sanzo, 2015 .

APART: Low Cost Active Replication for Multi-tier Data Acquisition Systems

Bruno Ciciani, Paolo Romano, Francesco Quaglia, 2008, 2008 Seventh IEEE International Symposium on Network Computing and Applications.

Tuning the Level of Concurrency in Software Transactional Memory: An Overview of Recent Analytical, Machine Learning and Mixed Approaches

Bruno Ciciani, Alessandro Pellegrini, Francesco Quaglia, 2015, Transactional Memory.

Self-optimizing Concurrency in Software Transactional Memory via Model-based Approach

Bruno Ciciani, Francesco Quaglia, Pierangelo Di Sanzo, 2013 .

Machine learning-based thread-parallelism regulation in software transactional memory

Bruno Ciciani, Francesco Quaglia, Pierangelo di Sanzo, 2017, J. Parallel Distributed Comput..

Dynamic Feature Selection for Machine-Learning Based Concurrency Regulation in STM

Bruno Ciciani, Francesco Quaglia, Pierangelo di Sanzo, 2014, 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

Machine Learning-Based Self-Adjusting Concurrency in Software Transactional Memory Systems

Bruno Ciciani, Francesco Quaglia, Pierangelo di Sanzo, 2012, 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

A framework for high performance simulation of transactional data grid platforms

Roberto Palmieri, Bruno Ciciani, Francesco Antonacci, 2013, SimuTools.

Analytical/ML Mixed Approach for Concurrency Regulation in Software Transactional Memory

Bruno Ciciani, Francesco Quaglia, Pierangelo di Sanzo, 2014, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.

Automatic Tuning of the Parallelism Degree in Hardware Transactional Memory

Bruno Ciciani, Paolo Romano, Francesco Quaglia, 2014, Euro-Par.

Auto-tuning of Cloud-Based In-Memory Transactional Data Grids via Machine Learning

Bruno Ciciani, Francesco Quaglia, Pierangelo di Sanzo, 2012, 2012 Second Symposium on Network Cloud Computing and Applications.

Providing Transaction Class-Based QoS in In-Memory Data Grids via Machine Learning

Bruno Ciciani, Pierangelo di Sanzo, Diego Rughetti, 2014, 2014 IEEE 3rd Symposium on Network Cloud Computing and Applications (ncca 2014).