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Enrico Barbierato
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2020 – today
- 2024
- [j14]Enrico Barbierato
, Alice Gatti
Toward Green AI: A Methodological Survey of the Scientific Literature. IEEE Access 12: 23989-24013 (2024) - [c23]Antonio Esposito, Rocco Aversa, Enrico Barbierato, Maria Carla Calzarossa, Beniamino Di Martino, Luisa Massari
Methodologies for the Parallelization, Performance Evaluation and Scheduling of Applications for the Cloud-Edge Continuum. AINA (5) 2024: 254-263 - 2023
- [j13]Enrico Barbierato
Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling. IEEE Access 11: 115493-115510 (2023) - [j12]Andrea Pozzi
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. Informatics 10(1): 5 (2023) - [j11]Andrea Pozzi
Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. Sensors 23(9): 4404 (2023) - [c22]Enrico Barbierato, Mauro Iacono, Marco Gribaudo, Michele Mastroianni
Cost- And Performance-Based Evaluation Of Cloud-Based Disaster Recovery. ECMS 2023: 568-574 - [c21]Carlo Manco, Tommaso Dolci, Fabio Azzalini, Enrico Barbierato, Marco Gribaudo, Letizia Tanca:
HEALER: A Data Lake Architecture for Healthcare. EDBT/ICDT Workshops 2023 - [c20]Tancredi Covioli, Tommaso Dolci
Workflow Characterization of a Big Data System Model for Healthcare Through Multiformalism. EPEW 2023: 279-293 - [e1]Mauro Iacono
Computer Performance Engineering and Stochastic Modelling - 19th European Workshop, EPEW 2023, and 27th International Conference, ASMTA 2023, Florence, Italy, June 20-23, 2023, Proceedings. Lecture Notes in Computer Science 14231, Springer 2023, ISBN 978-3-031-43184-5 [contents] - 2022
- [j10]Daniele Toti
FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank. Database J. Biol. Databases Curation 2022(2022) (2022) - [j9]Marco Lattuada
Optimal Resource Allocation of Cloud-Based Spark Applications. IEEE Trans. Cloud Comput. 10(2): 1301-1316 (2022) - 2021
- [j8]Enrico Barbierato, Lelio Campanile
Performance evaluation for the design of a hybrid cloud based distance synchronous and asynchronous learning architecture. Simul. Model. Pract. Theory 109: 102303 (2021) - [j7]Danilo Ardagna
Predicting the performance of big data applications on the cloud. J. Supercomput. 77(2): 1321-1353 (2021) - [c19]Enrico Barbierato
Performance Evaluation of a Data Lake Architecture via Modeling Techniques. EPEW 2021: 115-130 - 2020
- [j6]Enrico Barbierato, Marco Gribaudo
Multi-formalism Models for Performance Engineering. Future Internet 12(3): 50 (2020)
2010 – 2019
- 2019
- [j5]Enrico Barbierato, Marco Gribaudo
Exploiting CloudSim in a multiformalism modeling approach for cloud based systems. Simul. Model. Pract. Theory 93: 133-147 (2019) - [c18]Enrico Barbierato, Marco Gribaudo
Map-Reduce Process Algebra: A Formalism to Describe Directed Acyclic Graph Task-Based Jobs in Parallel Environments. ASMTA 2019: 85-99 - [c17]Enrico Barbierato, Marco Gribaudo
Evaluating the Safety of Crowds in Enclosed Spaces by Markovian Agents. PASM 2019: 61-75 - 2018
- [c16]Enrico Barbierato, Marco Gribaudo
Second Order Fluid Performance Evaluation Models for Interactive 3D Multimedia Streaming. EPEW 2018: 205-218 - [c15]Danilo Ardagna
Performance Prediction of Cloud-Based Big Data Applications. ICPE 2018: 192-199 - 2017
- [j4]Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo
Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications. SIGMETRICS Perform. Evaluation Rev. 44(4): 23-36 (2017) - [c14]Enrico Barbierato, Marco Gribaudo
Modeling Crowd Behavior in a Theater. InfQ@VALUETOOLS 2017: 49-54 - 2016
- [j3]Enrico Barbierato, Marco Gribaudo
Modeling and Evaluating the Effects of Big Data Storage Resource Allocation in Global Scale Cloud Architectures. Int. J. Data Warehous. Min. 12(2): 1-20 (2016) - [c13]Enrico Barbierato, Marco Gribaudo
Fluid Approximation of Pool Depletion Systems. ASMTA 2016: 60-75 - [c12]Enrico Barbierato, Marco Gribaudo
Simulating Hybrid Systems Within SIMTHESys Multi-formalism Models. EPEW 2016: 189-203 - [c11]Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo
Fluid Petri Nets for the Performance Evaluation of MapReduce Applications. VALUETOOLS 2016 - [c10]Enrico Barbierato, Marco Gribaudo
Modeling Hybrid Systems in SIMTHESys. PASM 2016: 5-25 - 2014
- [j2]Enrico Barbierato, Marco Gribaudo
Performance evaluation of NoSQL big-data applications using multi-formalism models. Future Gener. Comput. Syst. 37: 345-353 (2014) - 2013
- [c9]Enrico Barbierato, Marco Gribaudo
A Performance Modeling Language For Big Data Architectures. ECMS 2013: 511-517 - [c8]Enrico Barbierato, Marco Gribaudo
Modeling apache hive based applications in big data architectures. VALUETOOLS 2013: 30-38 - 2012
- [j1]Mauro Iacono
The SIMTHESys multiformalism modeling framework. Comput. Math. Appl. 64(12): 3828-3839 (2012) - [c7]Enrico Barbierato, Andrea Bobbio
Multiformalism to Support Software Rejuvenation Modeling. ISSRE Workshops 2012: 271-276 - [c6]Enrico Barbierato, Mauro Iacono, Stefano Marrone:
PerfBPEL: A graph-based approach for the performance analysis of BPEL SOA applications. VALUETOOLS 2012: 64-73 - [c5]Enrico Barbierato, Gian-Luca Dei Rossi, Marco Gribaudo
Exploiting product forms solution techniques in multiformalism modeling. PASM/PDMC 2012: 61-77 - 2011
- [c4]Enrico Barbierato, Marco Gribaudo
Performability Modeling of Exceptions-Aware Systems in Multiformalism Tools. ASMTA 2011: 257-272 - [c3]Davide Cerotti
A Tool Suite for Modelling Spatial Interdependencies of Distributed Systems with Markovian Agents. EPEW 2011: 280-294 - [c2]Enrico Barbierato, Marco Gribaudo
Exploiting multiformalism models for testing and performance evaluation in SIMTHESys. VALUETOOLS 2011: 121-130 - [c1]Enrico Barbierato, Marco Gribaudo
Defining Formalisms for Performance Evaluation With SIMTHESys. PASM@ICPE 2011: 37-51
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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