| Batch: machine learning inference serving on serverless platforms with adaptive batching A Ali, R Pinciroli, F Yan, E Smirni SC20: International Conference for High Performance Computing, Networking …, 2020 | 105 | 2020 |
| Cedule: A scheduling framework for burstable performance in cloud computing A Ali, R Pinciroli, F Yan, E Smirni 2018 IEEE International Conference on Autonomic Computing (ICAC), 141-150, 2018 | 18 | 2018 |
| Analytical modeling of performance indices under epistemic uncertainty applied to cloud computing systems F Antonelli, V Cortellessa, M Gribaudo, R Pinciroli, KS Trivedi, C Trubiani Future Generation Computer Systems 102, 746-761, 2020 | 17 | 2020 |
| Optimizing inference serving on serverless platforms A Ali, R Pinciroli, F Yan, E Smirni Proceedings of the VLDB Endowment 15 (10), 2022 | 16 | 2022 |
| Multi-class queuing networks models for energy optimization D Cerotti, M Gribaudo, P Piazzolla, R Pinciroli, G Serazzi EAI Endorsed Transactions on Energy Web 2 (6), e4-e4, 2015 | 15 | 2015 |
| Stochastic analysis of energy consumption in pool depletion systems D Cerotti, M Gribaudo, R Pinciroli, G Serazzi Measurement, Modelling and Evaluation of Dependable Computer and …, 2016 | 13 | 2016 |
| Lifespan and failures of ssds and hdds: Similarities, differences, and prediction models R Pinciroli, L Yang, J Alter, E Smirni IEEE Transactions on Dependable and Secure Computing, 2021 | 12 | 2021 |
| It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds (industry track) A Ali, R Pinciroli, F Yan, E Smirni Proceedings of the 20th International Middleware Conference Industrial Track …, 2019 | 12 | 2019 |
| Cedule+: Resource management for burstable cloud instances using predictive analytics R Pinciroli, A Ali, F Yan, E Smirni IEEE Transactions on Network and Service Management 18 (1), 945-957, 2020 | 11 | 2020 |
| Qn-based modeling and analysis of software performance antipatterns for cyber-physical systems R Pinciroli, CU Smith, C Trubiani Proceedings of the ACM/SPEC International Conference on Performance …, 2021 | 10 | 2021 |
| Epistemic uncertainty propagation in power models M Gribaudo, R Pinciroli, K Trivedi Electronic Notes in Theoretical Computer Science 337, 67-86, 2018 | 10 | 2018 |
| Parametric Sensitivity and Uncertainty Propagation in Dependability Models. R Pinciroli, KS Trivedi, A Bobbio VALUETOOLS, 2016 | 10 | 2016 |
| Capacity planning of fog computing infrastructures for smart monitoring R Pinciroli, M Gribaudo, M Roveri, G Serazzi New Frontiers in Quantitative Methods in Informatics: 7th Workshop, InfQ …, 2018 | 8 | 2018 |
| Model-based performance analysis for architecting cyber-physical dynamic spaces R Pinciroli, C Trubiani 2021 IEEE 18th International Conference on Software Architecture (ICSA), 104-114, 2021 | 7 | 2021 |
| The life and death of SSDs and HDDs: Similarities, differences, and prediction models R Pinciroli, L Yang, J Alter, E Smirni arXiv preprint arXiv:2012.12373, 2020 | 6 | 2020 |
| Modeling power consumption in multicore CPUs with multithreading and frequency scaling D Cerotti, M Gribaudo, P Piazzolla, R Pinciroli, G Serazzi Information Sciences and Systems 2015: 30th International Symposium on …, 2016 | 6 | 2016 |
| Epistemic uncertainty propagation in a Weibull environment for a two-core system-on-chip R Pinciroli, A Bobbio, C Bolchini, D Cerotti, M Gribaudo, A Miele, K Trivedi 2017 2nd international conference on system reliability and safety (ICSRS …, 2017 | 5 | 2017 |
| Characterization and evaluation of mobile crowdsensing performance and energy indicators R Pinciroli, S Distefano ACM SIGMETRICS Performance Evaluation Review 44 (4), 80-90, 2017 | 5 | 2017 |
| Optimal population mix in pool depletion systems with two-class workload. D Cerotti, M Gribaudo, R Pinciroli, G Serazzi VALUETOOLS, 2016 | 4 | 2016 |
| Automated Detection of Software Performance Antipatterns in Java-Based Applications C Trubiani, R Pinciroli, A Biaggi, FA Fontana IEEE Transactions on Software Engineering, 2023 | 3 | 2023 |
Evgenia SmirniProfessor of Computer Science, College of William and MaryEmail verificata su cs.wm.edu
