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Eugenio Gianniti
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2020 – today
- 2023
- [j9]Ehsan Ataie, Athanasia Evangelinou, Eugenio Gianniti, Danilo Ardagna:
Erratum to: A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications. Comput. J. 66(2): 524 (2023) - 2022
- [j8]Ehsan Ataie
, Athanasia Evangelinou, Eugenio Gianniti, Danilo Ardagna:
A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications. Comput. J. 65(12): 3123-3140 (2022) - [j7]Marco Lattuada, Eugenio Gianniti, Danilo Ardagna
, Li Zhang:
Performance prediction of deep learning applications training in GPU as a service systems. Clust. Comput. 25(2): 1279-1302 (2022) - [j6]Marco Lattuada
, Enrico Barbierato, Eugenio Gianniti
, Danilo Ardagna
:
Optimal Resource Allocation of Cloud-Based Spark Applications. IEEE Trans. Cloud Comput. 10(2): 1301-1316 (2022) - 2021
- [j5]Eugenio Gianniti
, Michele Ciavotta
, Danilo Ardagna
:
Optimizing Quality-Aware Big Data Applications in the Cloud. IEEE Trans. Cloud Comput. 9(2): 737-752 (2021) - [j4]Danilo Ardagna
, Enrico Barbierato, Eugenio Gianniti, Marco Gribaudo
, Túlio B. M. Pinto, Ana Paula Couto da Silva
, Jussara M. Almeida:
Predicting the performance of big data applications on the cloud. J. Supercomput. 77(2): 1321-1353 (2021) - [i3]Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna:
Machine Learning for Performance Prediction of Spark Cloud Applications. CoRR abs/2108.12214 (2021)
2010 – 2019
- 2019
- [j3]Soroush Karimian Aliabadi
, Danilo Ardagna
, Reza Entezari-Maleki, Eugenio Gianniti, Ali Movaghar:
Analytical composite performance models for Big Data applications. J. Netw. Comput. Appl. 142: 63-75 (2019) - [c12]Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva
, Jussara M. Almeida, Marco Lattuada
, Eugenio Gianniti, Marjan Hosseini
, Danilo Ardagna
:
Machine Learning for Performance Prediction of Spark Cloud Applications. CLOUD 2019: 99-106 - [c11]Eugenio Gianniti, Li Zhang, Danilo Ardagna
:
Performance Prediction of GPU-based Deep Learning Applications. CLOSER 2019: 279-286 - [c10]Marco Lattuada, Eugenio Gianniti, Marjan Hosseini
, Danilo Ardagna
, Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida:
Gray-Box Models for Performance Assessment of Spark Applications. CLOSER 2019: 609-618 - 2018
- [b1]Eugenio Gianniti:
Performance models, design and run time management of big data applications. Polytechnic University of Milan, Italy, 2018 - [j2]Marzieh Malekimajd
, Danilo Ardagna
, Michele Ciavotta
, Eugenio Gianniti, Mauro Passacantando
, Alessandro Maria Rizzi:
An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems. J. Supercomput. 74(10): 5314-5348 (2018) - [c9]Eugenio Gianniti, Li Zhang, Danilo Ardagna
:
Performance Prediction of GPU-Based Deep Learning Applications. SBAC-PAD 2018: 167-170 - [c8]Danilo Ardagna
, Enrico Barbierato, Athanasia Evangelinou, Eugenio Gianniti, Marco Gribaudo
, Túlio B. M. Pinto, Anna Guimarães, Ana Paula Couto da Silva
, Jussara M. Almeida:
Performance Prediction of Cloud-Based Big Data Applications. ICPE 2018: 192-199 - 2017
- [j1]Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo
, Danilo Ardagna
:
Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications. SIGMETRICS Perform. Evaluation Rev. 44(4): 23-36 (2017) - [c7]Eugenio Gianniti, Danilo Ardagna
, Michele Ciavotta
, Mauro Passacantando
:
A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce. CCGrid 2017: 1080-1089 - [c6]Safia Kalwar
, Eugenio Gianniti, Joas Yannick Kinouani, Youssef Ridene, Danilo Ardagna
:
Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems. InfQ@VALUETOOLS 2017: 82-96 - [c5]Michele Ciavotta
, Eugenio Gianniti, Danilo Ardagna
:
Capacity Allocation for Big Data Applications in the Cloud. ICPE Companion 2017: 175-176 - [i2]Eugenio Gianniti, Danilo Ardagna, Michele Ciavotta, Mauro Passacantando:
A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce. CoRR abs/1701.04763 (2017) - 2016
- [c4]Danilo Ardagna
, Simona Bernardi
, Eugenio Gianniti, Soroush Karimian Aliabadi
, Diego Perez-Palacin, José Ignacio Requeno
:
Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets. ICA3PP 2016: 599-613 - [c3]Michele Ciavotta
, Eugenio Gianniti, Danilo Ardagna
:
D-SPACE4Cloud: A Design Tool for Big Data Applications. ICA3PP 2016: 614-629 - [c2]Ehsan Ataie
, Eugenio Gianniti, Danilo Ardagna
, Ali Movaghar
:
A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Cloud Environment. SYNASC 2016: 431-439 - [c1]Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo
, Danilo Ardagna
:
Fluid Petri Nets for the Performance Evaluation of MapReduce Applications. VALUETOOLS 2016 - [i1]Michele Ciavotta, Eugenio Gianniti, Danilo Ardagna:
D-SPACE4Cloud: A Design Tool for Big Data Applications. CoRR abs/1605.07083 (2016)
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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