Eugenio Gianniti

Orcid: 0000-0002-5647-4024

According to our database1, Eugenio Gianniti authored at least 21 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Erratum to: A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications.
Comput. J., February, 2023

2022
Optimal Resource Allocation of Cloud-Based Spark Applications.
IEEE Trans. Cloud Comput., 2022

Performance prediction of deep learning applications training in GPU as a service systems.
Clust. Comput., 2022

A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications.
Comput. J., 2022

2021
Predicting the performance of big data applications on the cloud.
J. Supercomput., 2021

Optimizing Quality-Aware Big Data Applications in the Cloud.
IEEE Trans. Cloud Comput., 2021

2019
Analytical composite performance models for Big Data applications.
J. Netw. Comput. Appl., 2019

Gray-Box Models for Performance Assessment of Spark Applications.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

Performance Prediction of GPU-based Deep Learning Applications.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

Machine Learning for Performance Prediction of Spark Cloud Applications.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
Performance models, design and run time management of big data applications.
PhD thesis, 2018

An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems.
J. Supercomput., 2018

Performance Prediction of Cloud-Based Big Data Applications.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

2017
Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications.
SIGMETRICS Perform. Evaluation Rev., 2017

Capacity Allocation for Big Data Applications in the Cloud.
Proceedings of the Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems.
Proceedings of the New Frontiers in Quantitative Methods in Informatics, 2017

A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Fluid Petri Nets for the Performance Evaluation of MapReduce Applications.
Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 2016

A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Cloud Environment.
Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

D-SPACE4Cloud: A Design Tool for Big Data Applications.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016


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