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2020 – today
- 2024
[j12]Riccardo Pinciroli
, Connie U. Smith, Catia Trubiani:
Modeling more software performance antipatterns in cyber-physical systems. Softw. Syst. Model. 23(4): 1003-1023 (2024)- [j11]Giovanni Quattrocchi, Emilio Incerto, Riccardo Pinciroli, Catia Trubiani, Luciano Baresi:
Autoscaling Solutions for Cloud Applications Under Dynamic Workloads. IEEE Trans. Serv. Comput. 17(3): 804-820 (2024) - 2023
- [j10]Maurizio Murgia, Riccardo Pinciroli, Catia Trubiani, Emilio Tuosto:
Comparing perfomance abstractions for collective adaptive systems. Int. J. Softw. Tools Technol. Transf. 25(5): 785-798 (2023) - [j9]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): 1260-1275 (2023) - [j8]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): 256-272 (2023) - [j7]Riccardo Pinciroli, Catia Trubiani:
Performance Analysis of Fault-Tolerant Multiagent Coordination Mechanisms. IEEE Trans. Ind. Informatics 19(9): 9821-9832 (2023) - [j6]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): 2873-2891 (2023) - [c21]Riccardo Pinciroli, Raffaela Mirandola, Catia Trubiani:
Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems. CAiSE 2023: 88-104 - [c20]Riccardo Pinciroli, Aldeida Aleti, Catia Trubiani:
Performance Modeling and Analysis of Design Patterns for Microservice Systems. ICSA 2023: 35-46 - [c19]Emilio Incerto, Marin Litoiu, Riccardo Pinciroli:
ICPE'23 AIPerf Workshop Chairs' Welcome. ICPE (Companion) 2023: 133 - [d2]Riccardo Pinciroli, Raffaela Mirandola, Catia Trubiani:
Replication Package: Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems. Zenodo, 2023
- [d1]Riccardo Pinciroli, Raffaela Mirandola, Catia Trubiani:
Replication Package: Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems. Zenodo, 2023 - 2022
- [j5]Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni:
Optimizing Inference Serving on Serverless Platforms. Proc. VLDB Endow. 15(10): 2071-2084 (2022) - [c18]Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni:
GeoSpread: an Epidemic Spread Modeling Tool for COVID-19 Using Mobility Data. GoodIT 2022: 125-131 - [c17]Maurizio Murgia, Riccardo Pinciroli, Catia Trubiani, Emilio Tuosto:
On Model-Based Performance Analysis of Collective Adaptive Systems. ISoLA (3) 2022: 266-282 - 2021
- [j4]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): 945-957 (2021) - [c16]Riccardo Pinciroli, Catia Trubiani:
Model-based Performance Analysis for Architecting Cyber-Physical Dynamic Spaces. ICSA 2021: 104-114 - [c15]Riccardo Pinciroli, Connie U. Smith, Catia Trubiani:
QN-based Modeling and Analysis of Software Performance Antipatterns for Cyber-Physical Systems. ICPE 2021: 93-104 - 2020
- [j3]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: 746-761 (2020) - [c14]Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni:
Batch: machine learning inference serving on serverless platforms with adaptive batching. SC 2020: 69 - [c13]Lishan Yang, Anna Schmedding, Riccardo Pinciroli, Evgenia Smirni:
Simulating COVID-19 containment measures using the South Korean patient data: poster abstract. SenSys 2020: 782-783 - [i2]Riccardo Pinciroli, Lishan Yang, Jacob Alter, Evgenia Smirni:
The Life and Death of SSDs and HDDs: Similarities, Differences, and Prediction Models. CoRR abs/2012.12373 (2020) - [i1]Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni:
Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data. CoRR abs/2012.13296 (2020)
2010 – 2019
- 2019
- [c12]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: 36-42 - [p1]Davide Cerotti, Marco Gribaudo, Riccardo Pinciroli, Giuseppe Serazzi:
Modeling Techniques for Pool Depletion Systems. Systems Modeling: Methodologies and Tools 2019: 79-94 - 2018
- [b1]Riccardo Pinciroli:
Energy efficiency in large data-centers using performance evaluation techniques. Polytechnic University of Milan, Italy, 2018 - [c11]Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni:
CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing. ICAC 2018: 141-150 - 2017
- [j2]Riccardo Pinciroli, Salvatore Distefano:
Characterization and Evaluation of Mobile CrowdSensing Performance and Energy Indicators. SIGMETRICS Perform. Evaluation Rev. 44(4): 80-90 (2017) - [c10]Riccardo Pinciroli, Marco Gribaudo, Giuseppe Serazzi:
Modeling Multiclass Task-Based Applications on Heterogeneous Distributed Environments. ASMTA 2017: 166-180 - [c9]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: 516-520 - [c8]Riccardo Pinciroli, Marco Gribaudo, Manuel Roveri, Giuseppe Serazzi:
Capacity Planning of Fog Computing Infrastructures for Smart Monitoring. InfQ@VALUETOOLS 2017: 72-81 - [c7]Marco Gribaudo, Riccardo Pinciroli, Kishor S. Trivedi:
Epistemic Uncertainty Propagation in Power Models. PASM 2017: 67-86 - 2016
- [c6]Davide Cerotti, Marco Gribaudo, Riccardo Pinciroli, Giuseppe Serazzi:
Stochastic Analysis of Energy Consumption in Pool Depletion Systems. MMB/DFT 2016: 25-39 - [c5]Davide Cerotti, Marco Gribaudo, Riccardo Pinciroli, Giuseppe Serazzi:
Optimal population mix in pool depletion systems with two-class workload. VALUETOOLS 2016 - [c4]Riccardo Pinciroli, Salvatore Distefano:
Extending Queuing Networks to Assess Mobile CrowdSensing Application Performance. VALUETOOLS 2016 - [c3]Riccardo Pinciroli, Kishor S. Trivedi, Andrea Bobbio:
Parametric Sensitivity and Uncertainty Propagation in Dependability Models. VALUETOOLS 2016 - 2015
- [j1]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): e4 (2015) - [c2]Davide Cerotti, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, Giuseppe Serazzi:
Modeling Power Consumption in Multicore CPUs with Multithreading and Frequency Scaling. ISCIS 2015: 81-90 - 2014
- [c1]Davide Cerotti, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, Giuseppe Serazzi:
Multi-Class Queuing Networks Models for Energy Optimization. VALUETOOLS 2014
Coauthor Index
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last updated on 2024-11-05 21:01 CET by the dblp team
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