Følg
Pierangelo Di Sanzo
Pierangelo Di Sanzo
Researcher at Roma Tre University
Verifisert e-postadresse på uniroma3.it - Startside
Tittel
Sitert av
Sitert av
År
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
672012
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
512012
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
412015
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
382014
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
372012
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
342012
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
302013
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
302008
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
262015
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
222010
Machine learning for achieving self-* properties and seamless execution of applications in the cloud
P Di Sanzo, A Pellegrini, DR Avresky
2015 IEEE Fourth Symposium on Network Cloud Computing and Applications (NCCA …, 2015
202015
Simulation-based evolutionary optimization of air traffic management
A Pellegrini, P Di Sanzo, B Bevilacqua, G Duca, D Pascarella, R Palumbo, ...
IEEE access 8, 161551-161570, 2020
192020
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
162017
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' 13 Proceedings of the 6th International ICST Conference on …, 2013
152013
Integrated monitoring of infrastructures and applications in cloud environments
R Palmieri, P di Sanzo, F Quaglia, P Romano, S Peluso, D Didona
Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB …, 2012
152012
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
132016
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
Autonomic rejuvenation of cloud applications as a countermeasure to software anomalies
P Di Sanzo, DR Avresky, A Pellegrini
Software: Practice and Experience, 2020
112020
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 model-based scheduling in software transactional memory
P Di Sanzo, A Pellegrini, M Sannicandro, B Ciciani, F Quaglia
IEEE Transactions on Computers 69 (5), 621-632, 2019
102019
Systemet kan ikke utføre handlingen. Prøv på nytt senere.
Artikler 1–20