Eugenio Gianniti

According to our database1, Eugenio Gianniti authored at least 13 papers between 2016 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

2018
An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems.
The Journal of Supercomputing, 2018

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

Performance Prediction of GPU-Based Deep Learning Applications.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

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