Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets. - Danilo Ardagna; Simona Bernardi 001; Eugenio Gianniti; Soroush Karimian Aliabadi; Diego Perez-Palacin; José Ignacio Requeno (ICA3PP, 2016)

D-SPACE4Cloud: A Design Tool for Big Data Applications. - Michele Ciavotta; Eugenio Gianniti; Danilo Ardagna (ICA3PP, 2016)

A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Cloud Environment. - Ehsan Ataie; Eugenio Gianniti; Danilo Ardagna; Ali Movaghar 001 (SYNASC, 2016)

Fluid Petri Nets for the Performance Evaluation of MapReduce Applications. - Eugenio Gianniti; Alessandro Maria Rizzi; Enrico Barbierato; Marco Gribaudo; Danilo Ardagna (VALUETOOLS, 2016)

A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce. - Eugenio Gianniti; Danilo Ardagna; Michele Ciavotta; Mauro Passacantando (CCGrid, 2017)

Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems. - Safia Kalwar; Eugenio Gianniti; Joas Yannick Kinouani; Youssef Ridene; Danilo Ardagna (InfQ@VALUETOOLS, 2017)

Capacity Allocation for Big Data Applications in the Cloud. - Michele Ciavotta; Eugenio Gianniti; Danilo Ardagna (ICPE Companion, 2017)

Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications. - Eugenio Gianniti; Alessandro Maria Rizzi; Enrico Barbierato; Marco Gribaudo; Danilo Ardagna (SIGMETRICS Perform. Evaluation Rev., 2017)

Performance Prediction of Cloud-Based Big Data Applications. - Danilo Ardagna; Enrico Barbierato; Athanasia Evangelinou; Eugenio Gianniti; Marco Gribaudo; Túlio B. M. Pinto; Anna Guimarães; Ana Paula Couto da Silva; Jussara M. Almeida (ICPE, 2018)

An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems. - Marzieh Malekimajd; Danilo Ardagna; Michele Ciavotta; Eugenio Gianniti; Mauro Passacantando; Alessandro Maria Rizzi (J. Supercomput., 2018)

Performance models, design and run time management of big data applications. - Eugenio Gianniti (2018)

Machine Learning for Performance Prediction of Spark Cloud Applications. - Alexandre Maros; Fabricio Murai; Ana Paula Couto da Silva; Jussara M. Almeida; Marco Lattuada 001; Eugenio Gianniti; Marjan Hosseini; Danilo Ardagna (CLOUD, 2019)

Performance Prediction of GPU-based Deep Learning Applications. - Eugenio Gianniti; Li Zhang 002; Danilo Ardagna (CLOSER, 2019)

Gray-Box Models for Performance Assessment of Spark Applications. - Marco Lattuada 001; Eugenio Gianniti; Marjan Hosseini; Danilo Ardagna; Alexandre Maros; Fabricio Murai; Ana Paula Couto da Silva; Jussara M. Almeida (CLOSER, 2019)

Analytical composite performance models for Big Data applications. - Soroush Karimian Aliabadi; Danilo Ardagna; Reza Entezari-Maleki; Eugenio Gianniti; Ali Movaghar 001 (J. Netw. Comput. Appl., 2019)

Optimizing Quality-Aware Big Data Applications in the Cloud. - Eugenio Gianniti; Michele Ciavotta; Danilo Ardagna (IEEE Trans. Cloud Comput., 2021)

Predicting the performance of big data applications on the cloud. - Danilo Ardagna; Enrico Barbierato; Eugenio Gianniti; Marco Gribaudo; Túlio B. M. Pinto; Ana Paula Couto da Silva; Jussara M. Almeida (J. Supercomput., 2021)

A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications. - Ehsan Ataie; Athanasia Evangelinou; Eugenio Gianniti; Danilo Ardagna (Comput. J., 2022)

Performance prediction of deep learning applications training in GPU as a service systems. - Marco Lattuada 001; Eugenio Gianniti; Danilo Ardagna; Li Zhang 002 (Clust. Comput., 2022)

Optimal Resource Allocation of Cloud-Based Spark Applications. - Marco Lattuada 001; Enrico Barbierato; Eugenio Gianniti; Danilo Ardagna (IEEE Trans. Cloud Comput., 2022)

Erratum to: A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications. - Ehsan Ataie; Athanasia Evangelinou; Eugenio Gianniti; Danilo Ardagna (Comput. J., 2023)