Riccardo Pinciroli

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Adaptive Systems

Top Venues

Proc. VLDB Endow.

Publications

Giovanni Quattrocchi, Emilio Incerto, Riccardo Pinciroli, Catia Trubiani, Luciano Baresi
Autoscaling Solutions for Cloud Applications Under Dynamic Workloads. IEEE Trans. Serv. Comput. 17 (3) (2024)
Riccardo Pinciroli, Raffaela Mirandola, Catia Trubiani
Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems. CAiSE (2023)
Maurizio Murgia, Riccardo Pinciroli, Catia Trubiani, Emilio Tuosto
Comparing perfomance abstractions for collective adaptive systems. Int. J. Softw. Tools Technol. Transf. 25 (5) (2023)
Riccardo Pinciroli, Lishan Yang, Jacob Alter, Evgenia Smirni
Lifespan and Failures of SSDs and HDDs: Similarities, Differences, and Prediction Models. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Riccardo Pinciroli, Aldeida Aleti, Catia Trubiani
Performance Modeling and Analysis of Design Patterns for Microservice Systems. ICSA (2023)
Riccardo Pinciroli, Catia Trubiani
Performance Analysis of Fault-Tolerant Multiagent Coordination Mechanisms. IEEE Trans. Ind. Informatics 19 (9) (2023)
Emilio Incerto, Marin Litoiu, Riccardo Pinciroli
ICPE'23 AIPerf Workshop Chairs' Welcome. ICPE (Companion) (2023)
Catia Trubiani, Riccardo Pinciroli, Andrea Biaggi, Francesca Arcelli Fontana
Automated Detection of Software Performance Antipatterns in Java-Based Applications. IEEE Trans. Software Eng. 49 (4) (2023)
Anna Schmedding, Riccardo Pinciroli, Lishan Yang, Evgenia Smirni
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data. IEEE Trans. Big Data 9 (5) (2023)
Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni
GeoSpread: an Epidemic Spread Modeling Tool for COVID-19 Using Mobility Data. GoodIT (2022)
Maurizio Murgia, Riccardo Pinciroli, Catia Trubiani, Emilio Tuosto
On Model-Based Performance Analysis of Collective Adaptive Systems. ISoLA (3) (2022)
Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
Optimizing Inference Serving on Serverless Platforms. Proc. VLDB Endow. 15 (10) (2022)
Riccardo Pinciroli, Catia Trubiani
Model-based Performance Analysis for Architecting Cyber-Physical Dynamic Spaces. ICSA (2021)
Riccardo Pinciroli, Ahsan Ali, Feng Yan, Evgenia Smirni
CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics. IEEE Trans. Netw. Serv. Manag. 18 (1) (2021)
Riccardo Pinciroli, Connie U. Smith, Catia Trubiani
QN-based Modeling and Analysis of Software Performance Antipatterns for Cyber-Physical Systems. ICPE (2021)
Riccardo Pinciroli, Lishan Yang, Jacob Alter, Evgenia Smirni
The Life and Death of SSDs and HDDs: Similarities, Differences, and Prediction Models. CoRR (2020)
Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
Batch: machine learning inference serving on serverless platforms with adaptive batching. SC (2020)
Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni
Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data. CoRR (2020)
Lishan Yang, Anna Schmedding, Riccardo Pinciroli, Evgenia Smirni
Simulating COVID-19 containment measures using the South Korean patient data: poster abstract. SenSys (2020)
Fabio Antonelli, Vittorio Cortellessa, Marco Gribaudo, Riccardo Pinciroli, Kishor S. Trivedi, Catia Trubiani
Analytical modeling of performance indices under epistemic uncertainty applied to cloud computing systems. Future Gener. Comput. Syst. 102 (2020)
Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds. Middleware Industry (2019)
Marco Gribaudo, Riccardo Pinciroli, Kishor S. Trivedi
Epistemic Uncertainty Propagation in Power Models. Electron. Notes Theor. Comput. Sci. 337 (2018)
Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing. ICAC (2018)
Riccardo Pinciroli, Marco Gribaudo, Giuseppe Serazzi
Modeling Multiclass Task-Based Applications on Heterogeneous Distributed Environments. ASMTA (2017)
Riccardo Pinciroli, Marco Gribaudo, Manuel Roveri, Giuseppe Serazzi
Capacity Planning of Fog Computing Infrastructures for Smart Monitoring. InfQ@VALUETOOLS (2017)
Riccardo Pinciroli, Salvatore Distefano
Characterization and Evaluation of Mobile CrowdSensing Performance and Energy Indicators. SIGMETRICS Perform. Evaluation Rev. 44 (4) (2017)
Riccardo Pinciroli, Andrea Bobbio, Cristiana Bolchini, Davide Cerotti, Marco Gribaudo, Antonio Miele, Kishor S. Trivedi
Epistemic uncertainty propagation in a Weibull environment for a two-core system-on-chip. ICSRS (2017)
Riccardo Pinciroli, Kishor S. Trivedi, Andrea Bobbio
Parametric Sensitivity and Uncertainty Propagation in Dependability Models. VALUETOOLS (2016)
Riccardo Pinciroli, Salvatore Distefano
Extending Queuing Networks to Assess Mobile CrowdSensing Application Performance. VALUETOOLS (2016)
Davide Cerotti, Marco Gribaudo, Riccardo Pinciroli, Giuseppe Serazzi
Stochastic Analysis of Energy Consumption in Pool Depletion Systems. MMB/DFT (2016)
Davide Cerotti, Marco Gribaudo, Riccardo Pinciroli, Giuseppe Serazzi
Optimal population mix in pool depletion systems with two-class workload. VALUETOOLS (2016)
Davide Cerotti, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, Giuseppe Serazzi
Modeling Power Consumption in Multicore CPUs with Multithreading and Frequency Scaling. ISCIS (2015)
Davide Cerotti, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, Giuseppe Serazzi
Multi-Class Queuing Networks Models for Energy Optimization. EAI Endorsed Trans. Energy Web 2 (6) (2015)
Davide Cerotti, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, Giuseppe Serazzi
Multi-Class Queuing Networks Models for Energy Optimization. VALUETOOLS (2014)