Publications
2023
Journals
Pinciroli, R. and Trubiani, C. (2023). “Performance Analysis of Fault-Tolerant Multi-Agent Coordination Mechanisms”. In IEEE Transactions on Industrial Informatics, (Early Access).
[DOI] - [Preprint] - [BibTeX]Trubiani, C., Pinciroli, R., Biaggi, A., and Fontana, F. A. (2023). “Automated Detection of Software Performance Antipatterns in Java-Based Applications”. In IEEE Transactions on Software Engineering, (Early Access).
[DOI] - [Preprint] - [BibTeX]Schmedding, A., Pinciroli, R., Yang, L., and Smirni, E. (2023). “Epidemic Spread Modeling for COVID-19 Using Cross-fertilization of Mobility Data”. In IEEE Transactions on Big Data, (Early Access).
[DOI] - [Preprint] - [BibTeX]
Conferences
Pinciroli, R., Aleti A., and Trubiani, C. (2023). “Performance Modeling and Analysis of Design Patterns for Microservice Systems”. In IEEE 20th International Conference on Software Architecture (ICSA 23), pp. 1-12.
[DOI] - [PDF] - [BibTeX]Pinciroli, R., Mirandola R., and Trubiani, C. (2023). “Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems”. In 35th International Conference on Advanced Information Systems Engineering (CAiSE 23), pp. 1-16.
[DOI] - [Preprint] - [BibTeX]
2022
Conferences
Ali, A., Pinciroli, R., Yan, F., and Smirni, E. (2022). “Optimizing Inference Serving on Serverless Platforms”. In International Conference on Very Large Data Bases (VLDB 22).
[DOI] - [PDF] - [BibTeX]Schmedding, A., Yang, L., Pinciroli, R., and Smirni, E. (2022). “GeoSpread: an Epidemic Spread Modeling Tool for COVID-19 Using Mobility Data”. In Conference on Information Technology for Social Good (GoodIT 22), pp. 125-131.
[DOI] - [PDF] - [BibTeX]Murgia, M., Pinciroli, R., Trubiani, C., and Tuosto, E. (2022). “On Model-based Performance Analysis of Collective Adaptive Systems”. In International Symposium on Leveraging Applications of Formal Methods (ISoLA 22), pp. 266-282.
[DOI] - [PDF] - [BibTex]Pinciroli, R., Yang, L., Alter, J., and Smirni, E. (2022). “Machine Learning Models for SSD and HDD Reliability Prediction”. In Annual Reliability and Maintainability Symposium (RAMS 22), pp. 1-7.
[DOI] - [BibTeX]
2021
Journals
- Pinciroli, R., Yang, L., Alter, J., and Smirni, E. (2021). “Lifespan and Failures of SSDs and HDDs: Similarities, Differences, and Prediction Models”. In IEEE Transactions on Dependable and Secure Computing, 20(1), pp. 256-272.
[DOI] - [PDF] - [BibTeX]
Conferences
Pinciroli, R., and Trubiani, C. (2021). “Model-based Performance Analysis for Architecting Cyber-Physical Dynamic Spaces”. In IEEE 18th International Conference on Software Architecture (ICSA 21), pp. 104-114.
[DOI] - [PDF] - [BibTeX]Pinciroli, R., Smith, C. U., and Trubiani, C. (2021). “QN-based Modeling and Analysis of Software Performance Antipatterns for Cyber-Physical Systems”. In ACM/SPEC International Conference on Performance Engineering (ICPE 21), pp. 93-104.
[DOI] - [PDF] - [BibTeX]
2020
Journals
Pinciroli, R., Ali, A., Yan, F., and Smirni, E. (2020). “CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics”. IEEE Transactions on Network and Service Management, 18.1, pp. 945-957.
[DOI] - [PDF] - [BibTeX]Antonelli, F., Cortellessa, V., Gribaudo, M., Pinciroli, R., Trivedi, K. S., and Trubiani, C. (2020). “Analytical modeling of performance indices under epistemic uncertainty applied to cloud computing systems”. Future Generation Computer Systems, 102, pp. 746-761.
[DOI] - [PDF] - [BibTeX]
Conferences
Ali, A., Pinciroli, R., Yan, F., and Smirni, E. (2020). “Batch: machine learning inference serving on serverless platforms with adaptive batching”. In International Conference for High Performance Computing, Networking, Storage and Analysis (SC 20), pp. 972-986.
[DOI] - [PDF] - [BibTeX]Yang, L., Schmedding, A., Pinciroli, R., and Smirni, E. (2020). “Simulating COVID-19 containment measures using the South Korean patient data”. In 18th Conference on Embedded Networked Sensor Systems (SenSys 20), pp. 782-783.
[DOI] - [PDF] - [BibTeX]
2019
Conferences
- Ali, A., Pinciroli, R., Yan, F., and Smirni, E. (2019). “It’s not a Sprint, it’s a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds (industry track)”. In 20th International Middleware Conference Industrial Track (Middleware 19), pp. 36-42.
[DOI] - [PDF] - [BibTeX]
Chapters
- Cerotti, D., Gribaudo, M., Pinciroli, R., and Serazzi, G. (2019). “Modeling Techniques for Pool Depletion Systems”. In Systems Modeling: Methodologies and Tools, pp. 79-94.
[DOI] - [PDF] - [BibTeX]
2018
Journal
- Gribaudo, M., Pinciroli, R., and Trivedi, K. (2018). “Epistemic uncertainty propagation in power models”. Electronic Notes in Theoretical Computer Science, 337, pp. 67-86.
[DOI] - [PDF] - [BibTeX]
Conferences
- Ali, A., Pinciroli, R., Yan, F., and Smirni, E. (2018). “CEDULE: A scheduling framework for burstable performance in cloud computing”. In IEEE International Conference on Autonomic Computing (ICAC 18), pp. 141-150.
[DOI] - [PDF] - [BibTeX]
2017
Journals
- Pinciroli, R., and Distefano, S. (2017). “Characterization and evaluation of mobile crowdsensing performance and energy indicators”. ACM SIGMETRICS Performance Evaluation Review, 44(4), pp. 80-90.
[DOI] - [PDF] - [BibTeX]
Conferences
Pinciroli, R., Gribaudo, M., and Serazzi, G. (2017). “Modeling multiclass task-based applications on heterogeneous distributed environments”. In International Conference on Analytical and Stochastic Modeling Techniques and Applications (ASMTA 17), pp. 166-180.
[DOI] - [PDF] - [BibTeX]Pinciroli, R., Bobbio, A., Bolchini, C., Cerotti, D., Gribaudo, M., Miele, A., and Trivedi, K. (2017). “Epistemic uncertainty propagation in a weibull environment for a two-core system-on-chip”. In 2nd International Conference on System Reliability and Safety (ICSRS 17), pp. 516-520.
[DOI] - [PDF] - [BibTeX]Pinciroli, R., Gribaudo, M., Roveri, M., and Serazzi, G. (2017). “Capacity planning of fog computing infrastructures for smart monitoring”. In Workshop on New Frontiers in Quantitative Methods in Informatics (InfQ 17), pp. 72-81.
[DOI] - [PDF] - [BibTeX]
2016
Conferences
Cerotti, D., Gribaudo, M., Pinciroli, R., and Serazzi, G. (2016). “Stochastic analysis of energy consumption in pool depletion systems”. In International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance (MMB&DFT 16), pp. 25-39.
[DOI] - [PDF] - [BibTeX]Cerotti, D., Gribaudo, M., Pinciroli, R., and Serazzi, G. (2016). “Optimal population mix in pool depletion systems with two-class workload”. In 10th International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 16), pp. 11-18.
[DOI] - [PDF] - [BibTeX]Pinciroli, R., Trivedi, K., and Bobbio, A. (2016). “Parametric sensitivity and uncertainty propagation in dependability models”. In 10th International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 16), pp. 44-51.
[DOI] - [PDF] - [BibTeX]Pinciroli, R., and Distefano, S. (2016). “Extending Queuing Networks to Assess Mobile CrowdSensing Application Performance”. In 10th International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 16), pp. 255-262.
[DOI] - [PDF] - [BibTeX]
2015
Conferences
- Cerotti, D., Gribaudo, M., Piazzolla, P., Pinciroli, R., and Serazzi, G. (2015). “Modeling power consumption in multicore cpus with multithreading and frequency scaling”. In Information Sciences and Systems 2015 (ISCIS 15), pp. 81-90.
[DOI] - [PDF] - [BibTeX]