Pubblicazioni di Di Sanzo Pierangelo

2021

Di Sanzo Pierangelo, Avresky Dimiter R., Pellegrini Alessandro
Conoci Stefano, Di Sanzo Pierangelo, Pellegrini Alessandro, Ciciani Bruno, Quaglia Francesco

2020

PRINCIPE MATTEO, TOCCI TOMMASO, DI SANZO PIERANGELO, QUAGLIA Francesco, PELLEGRINI ALESSANDRO
A Distributed Shared Memory Middleware for Speculative Parallel Discrete Event Simulation. ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION 2020: -

Di Sanzo Pierangelo, Pellegrini Alessandro, Sannicandro Marco, Ciciani Bruno, Quaglia Francesco
Adaptive Model-based Scheduling in Software Transactional Memory. IEEE TRANSACTIONS ON COMPUTERS 2020: 621-632

Marotta Romolo, Tiriticco Davide, Di Sanzo Pierangelo, Pellegrini Alessandro, Ciciani Bruno, Quaglia Francesco
Pellegrini Alessandro, Di Sanzo Pierangelo, Bevilacqua Beatrice, Duca Gabriella, Pascarella Domenico, Palumbo Roberto, Josè Ramos Juan, Àngel Piera Miquel, Gigante Gabriella

2018

Conoci Stefano, Cingolani Davide, Di Sanzo Pierangelo, Ciciani Bruno, Pellegrini Alessandro, Quaglia Francesco
A Power Cap Oriented Time Warp Architecture. SIGSIM-PADS '18 Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation 2018: 97-100

Conoci Stefano, DI SANZO Pierangelo, Ciciani Bruno, Quaglia Francesco
Adaptive performance optimization under power constraint in multi-thread applications with diverse scalability. ICPE '18 Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering 2018: 16-27

Cingolani Davide, Ciciani Bruno, Quaglia Francesco, Pellegrini Alessandro, Di Sanzo Pierangelo, Marotta Romolo, Ianni Mauro, Economo Simone
Economo Simone, Silvestri Emiliano, Di Sanzo Pierangelo, Pellegrini Alessandro, Quaglia Francesco
Model-Based Proactive Read-Validation in Transaction Processing Systems. 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) 2018: 481-488

2017

DI SANZO Pierangelo
Analysis, classification and comparison of scheduling techniques for software transactional memories. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2017: 3356-3373

Avresky Dimiter R, Pellegrini Alessandro, DI SANZO Pierangelo
Machine learning-based management of cloud applications in hybrid clouds: a hadoop case study. 2017 IEEE 16th International Symposium on Network Computing and Applications, NCA 2017 2017: 114-119

Rughetti Diego, Di sanzo Pierangelo, Ciciani Bruno, Quaglia Francesco
Machine learning-based thread-parallelism regulation in software transactional memory. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING 2017: 208-229

Pellegrini Alessandro, Di Sanzo Pierangelo
On the optimization of collaborative kerbside waste collection. WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 2017: 66-74

Silvestri Emiliano, Economo Simone, DI SANZO Pierangelo, Pellegrini Alessandro, Quaglia Francesco
Preemptive Software Transactional Memory. 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) 2017: 294-303

Economo Simone, Silvestri Emiliano, DI SANZO Pierangelo, Pellegrini Alessandro, Quaglia Francesco
Prompt Application-Transparent Transaction Revalidation in Software Transactional Memory. 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA) 2017: 157-162

2016

DI SANZO Pierangelo, Ciciani Bruno
CPU-core frequency scaling for efficient thread scheduling in transactional memories. 2016 International Conference on High Performance Computing and Simulation, HPCS 2016 2016: 42-47

DI SANZO Pierangelo, Sannicandro Marco, Ciciani Bruno, Quaglia Francesco
Markov Chain-Based Adaptive Scheduling in Software Transactional Memory. 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2016) 2016: 373-382

Pellegrini Alessandro, DI SANZO Pierangelo, Avresky Dimiter R.
Proactive cloud management for highly heterogeneous multi-cloud infrastructures. 2016 IEEE 30th International Parallel and Distributed Processing Symposium Workshops IPDPSW 2016 2016: 1311-1318

2015

Di Sanzo Pierangelo, Quaglia Francesco, Ciciani Bruno, Pellegrini Alessandro, Didona D., Romano Paolo, Palmieri Roberto, Peluso Sebastiano
A flexible framework for accurate simulation of cloud in-memory data stores. SIMULATION MODELLING PRACTICE AND THEORY 2015: 219-238

Pellegrini Alessandro, DI SANZO Pierangelo, Avresky Dimiter R.
A Machine Learning-based Framework for Building Application Failure Prediction Models. 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshops. Proceedings 2015: 1072-1081

Rughetti Diego, DI SANZO Pierangelo, Quaglia Francesco, Ciciani Bruno
Machine learning based dynamic reconfiguration of distributed data management systems. Quantitative assessments of distributed systems methodologies and techniques 2015: 327-349

DI SANZO Pierangelo, Pellegrini Alessandro, Avresky Dimiter R.
Machine Learning for Achieving Self-* Properties and Seamless Execution of Applications in the Cloud. 2015 IEEE Fourth Symposium on Network Cloud Computing and Applications (NCCA) 2015: 51-58

Avresky Dimiter R., DI SANZO Pierangelo, Pellegrini Alessandro, Ciciani Bruno, Forte Luca
Proactive Scalability and Management of Resources in Hybrid Clouds via Machine Learning. 2015 IEEE 14th International Symposium on Network Computing and Applications 2015: 114-119

Rughetti Diego, DI SANZO Pierangelo, Pellegrini Alessandro, Ciciani Bruno, Quaglia Francesco

2014

Rughetti Diego, DI SANZO Pierangelo, Pellegrini Alessandro
Adaptive Transactional Memories: Performance and Energy Consumption Tradeoffs. 2014 IEEE 3rd Symposium on Network Cloud Computing and Applications (ncca 2014) 2014: 105-112

Rughetti Diego, DI SANZO Pierangelo, Ciciani Bruno, Quaglia Francesco
Analytical/ML Mixed Approach for Concurrency Regulation in Software Transactional Memory. 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2014: 81-91

Barreto Joã£o, Di Sanzo Pierangelo, Palmieri Roberto, Romano Paolo
Cloud-TM: An elastic, self-tuning transactional store for the cloud. Cloud Technology: Concepts, Methodologies, Tools, and Applications 2014: 749-781

Rughetti Diego, DI SANZO Pierangelo, Ciciani Bruno, Quaglia Francesco
Dynamic feature selection for machine-learning based concurrency regulation in STM. Proceedings of the 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. 2014: 68-75

DI SANZO Pierangelo, Francesco Maria Molfese, Rughetti Diego, Ciciani Bruno
Providing Transaction Class-Based QoS in In-Memory Data Grids via Machine Learning. 2014 IEEE 3rd Symposium on Network Cloud Computing and Applications (ncca 2014) 2014: 46-53

2013

DI SANZO Pierangelo, Francesco Antonacci, Ciciani Bruno, Palmieri Roberto, Pellegrini Alessandro, Peluso Sebastiano, Quaglia Francesco, Rughetti Diego, Vitali Roberto
A Framework for High Performance Simulation of Transactional Data Grid Platforms. SimuTools '13 Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques 2013: 63-72

DI SANZO Pierangelo, Francesco Del Re, Rughetti Diego, Ciciani Bruno, Quaglia Francesco
Regulating concurrency in Software transactional memory: An effective model-based approach. Proceedings of the 7th International Conferences on Self-Adaptive and Self-Organizing Systems 2013: 31-40

Alice Porfirio, Pellegrini Alessandro, DI SANZO Pierangelo, Quaglia Francesco

2012-03-26

2012

DI SANZO PIERANGELO, RUGHETTI DIEGO, CICIANI Bruno, QUAGLIA Francesco
Auto-tuning of Cloud-based In-memory Transactional Data Grids via Machine Learning. Proceedings - IEEE 2nd Symposium on Network Cloud Computing and Applications, NCCA 2012 2012: 9-16

CICIANI Bruno, Diego Didona, DI SANZO PIERANGELO, PALMIERI ROBERTO, Peluso Sebastiano, QUAGLIA Francesco, ROMANO Paolo
Automated workload characterization in cloud-based transactional data grids. Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 2012: 1525-1533

PALMIERI ROBERTO, DI SANZO PIERANGELO, QUAGLIA Francesco, ROMANO Paolo, Peluso Sebastiano, Diego Didona
Integrated monitoring of infrastructures and applications in cloud environments. Euro-Par 2011: Parallel Processing Workshops 2012: 45-53

RUGHETTI DIEGO, DI SANZO PIERANGELO, CICIANI Bruno, QUAGLIA Francesco
Machine learning-based self-adjusting concurrency in software transactional memory systems. Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2012 IEEE 20th International Symposium on 2012: 278-285

Di Sanzo Pierangelo, Ciciani Bruno, Palmieri Roberto, Quaglia Francesco, Paolo Romano

2010

DI SANZO PIERANGELO, CICIANI Bruno, PALMIERI ROBERTO, QUAGLIA Francesco, ROMANO Paolo
Analytical modeling of Commit-Time-Locking algorithms for Software Transactional Memories. 36th International Computer Measurement Group Conference (CMG) 2010: -

DI SANZO PIERANGELO, PALMIERI ROBERTO, CICIANI Bruno, QUAGLIA Francesco, Paolo Romano
Analytical modeling of lock-based concurrency control with arbitrary transaction data access patterns. Proc. First ACM Joint International Conference on Performance Engineering (WOSP/SIPEW) 2010: 69-78

2009

Ciciani Bruno, DI SANZO Pierangelo, Nanni Umberto, Quaglia Francesco, F. Sarracco

2008

DI SANZO PIERANGELO, ROMANO Paolo, CICIANI Bruno, QUAGLIA Francesco
A Performance Model of Multi-Version Concurrency Control. Proc. 16th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS) 2008: 1-10

2006

De Tommasi G., Di Sanzo P., Pironti A.
A graphical tool for design portable automation software. IFAC Proceedings Volumes (IFAC-PapersOnline) 2006: 440-445

GIANMARIA DE Tommasi, DI SANZO Pierangelo, Alfredo Pironti

2005

GIANMARIA DE Tommasi, DI SANZO Pierangelo, Alfredo Pironti
SiValPro: sviluppo, validazione e prototipizzazione rapida di sistemi di automazione. Atti del convegno "Automazione per lo Sviluppo e la Competitività delle Pmi" 2005: 1-11

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