Pierangelo Di Sanzo
Pierangelo Di Sanzo
PhD in Computer Engineering
Verified email at dis.uniroma1.it - Homepage
Title
Cited by
Cited by
Year
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
602012
On the analytical modeling of concurrency control algorithms for software transactional memories: The case of commit-time-locking
P Di Sanzo, B Ciciani, R Palmieri, F Quaglia, P Romano
Performance Evaluation 69 (5), 187-205, 2012
482012
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
362014
Auto-tuning of Cloud-based In-memory Transactional Data Grids via Machine Learning
P Di Sanzo, D Rughetti, B Ciciani, F Quaglia
2nd IEEE International Symposium on Network Cloud Computing and Applications …, 2012
332012
A machine learning-based framework for building application failure prediction models
A Pellegrini, P Di Sanzo, DR Avresky
2015 IEEE International Parallel and Distributed Processing Symposium …, 2015
322015
Automated workload characterization in cloud-based transactional data grids
B Ciciani, D Didona, P Di Sanzo, R Palmieri, S Peluso, F Quaglia, ...
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
312012
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
292013
A performance model of multi-version concurrency control
P Di Sanzo, B Ciciani, F Quaglia, P Romano
2008 IEEE International Symposium on Modeling, Analysis and Simulation of …, 2008
272008
A flexible framework for accurate simulation of cloud in-memory data stores
P Di Sanzo, F Quaglia, B Ciciani, A Pellegrini, D Didona, P Romano, ...
Simulation Modelling Practice and Theory 58, 219-238, 2015
242015
Analytical modeling of lock-based concurrency control with arbitrary transaction data access patterns
P Di Sanzo, R Palmieri, B Ciciani, F Quaglia, P Romano
Proceedings of the first joint WOSP/SIPEW International Conference on …, 2010
202010
Machine learning for achieving self-* properties and seamless execution of applications in the cloud
P Di Sanzo, A Pellegrini, DR Avresky
Proceedings of the Fourth IEEE Symposium on Network Cloud Computing and …, 2015
162015
A framework for high performance simulation of transactional data grid platforms.
P Di Sanzo, F Antonacci, B Ciciani, R Palmieri, A Pellegrini, S Peluso, ...
SIMUTools, 63-72, 2013
152013
Integrated monitoring of infrastructures and applications in cloud environments
R Palmieri, P di Sanzo, F Quaglia, P Romano, S Peluso, D Didona
European Conference on Parallel Processing, 45-53, 2011
152011
Markov chain-based adaptive scheduling in software transactional memory
P Di Sanzo, M Sannicandro, B Ciciani, F Quaglia
2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016
122016
Analysis, classification and comparison of scheduling techniques for software transactional memories
P Di Sanzo
IEEE Transactions on Parallel and Distributed Systems 28 (12), 3356-3373, 2017
112017
Proactive cloud management for highly heterogeneous multi-cloud infrastructures
A Pellegrini, P Di Sanzo, DR Avresky
2016 IEEE International Parallel and Distributed Processing Symposium …, 2016
112016
Proactive scalability and management of resources in hybrid clouds via machine learning
DR Avresky, P Di Sanzo, A Pellegrini, B Ciciani, L Forte
2015 IEEE 14th International Symposium on Network Computing and Applications …, 2015
112015
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
112014
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
102014
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
92015
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Articles 1–20