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] - [PDF] - [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. 35-46.
[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. 88-104.
[DOI] - [PDF] - [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]