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Eugenio Gianniti
Eugenio Gianniti
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Modeling performance of hadoop applications: A journey from queueing networks to stochastic well formed nets
D Ardagna, S Bernardi, E Gianniti, S Karimian Aliabadi, D Perez-Palacin, ...
International conference on algorithms and architectures for parallel …, 2016
392016
Performance prediction of cloud-based big data applications
D Ardagna, E Barbierato, A Evangelinou, E Gianniti, M Gribaudo, ...
Proceedings of the 2018 ACM/SPEC International Conference on Performance …, 2018
322018
A combined analytical modeling machine learning approach for performance prediction of MapReduce jobs in cloud environment
E Ataie, E Gianniti, D Ardagna, A Movaghar
2016 18th International Symposium on Symbolic and Numeric Algorithms for …, 2016
262016
A combined analytical modeling machine learning approach for performance prediction of MapReduce jobs in cloud environment
E Ataie, E Gianniti, D Ardagna, A Movaghar
2016 18th International Symposium on Symbolic and Numeric Algorithms for …, 2016
262016
Performance prediction of gpu-based deep learning applications
E Gianniti, L Zhang, D Ardagna
2018 30th International Symposium on Computer Architecture and High …, 2018
232018
Machine learning for performance prediction of spark cloud applications
A Maros, F Murai, APC da Silva, JM Almeida, M Lattuada, E Gianniti, ...
2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 99-106, 2019
152019
Fluid petri nets for the performance evaluation of mapreduce and spark applications
E Gianniti, AM Rizzi, E Barbierato, M Gribaudo, D Ardagna
ACM SIGMETRICS Performance Evaluation Review 44 (4), 23-36, 2017
152017
Analytical composite performance models for big data applications
S Karimian-Aliabadi, D Ardagna, R Entezari-Maleki, E Gianniti, ...
Journal of Network and Computer Applications 142, 63-75, 2019
142019
Predicting the performance of big data applications on the cloud
D Ardagna, E Barbierato, E Gianniti, M Gribaudo, TBM Pinto, ...
The Journal of Supercomputing 77 (2), 1321-1353, 2021
102021
D-space4cloud: a design tool for big data applications
M Ciavotta, E Gianniti, D Ardagna
International Conference on Algorithms and Architectures for Parallel …, 2016
82016
A game-theoretic approach for runtime capacity allocation in MapReduce
E Gianniti, D Ardagna, M Ciavotta, M Passacantando
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017
72017
Optimizing quality-aware big data applications in the cloud
E Gianniti, M Ciavotta, D Ardagna
IEEE Transactions on Cloud Computing 9 (2), 737-752, 2018
62018
An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems
M Malekimajd, D Ardagna, M Ciavotta, E Gianniti, M Passacantando, ...
The Journal of Supercomputing 74 (10), 5314-5348, 2018
52018
Capacity Allocation for Big Data Applications in the Cloud
M Ciavotta, E Gianniti, D Ardagna
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
42017
Fluid petri nets for the performance evaluation of mapreduce applications
E Gianniti, AM Rizzi, E Barbierato, M Gribaudo, D Ardagna
InfQ 2016-New Frontiers in Quantitative Methods in Informatics, 243-250, 2017
42017
Performance prediction of deep learning applications training in GPU as a service systems
M Lattuada, E Gianniti, D Ardagna, L Zhang
Cluster Computing 25 (2), 1279-1302, 2022
32022
Optimal Resource Allocation of Cloud-Based Spark Applications
M Lattuada, E Barbierato, E Gianniti, D Ardagna
IEEE Transactions on Cloud Computing, 2020
32020
A combined analytical modeling machine learning approach for performance prediction of MapReduce jobs in Hadoop clusters
E Ataie, E Gianniti, D Ardagna, A Movaghar
MICAS 2016—Management of resources and services in Cloud and Sky computing …, 2016
32016
Game theory models for MapReduce: joint admission control and capacity allocation
E GIANNITI
Italy, 2015
22015
Gray-box models for performance assessment of spark applications
M Lattuada, E Gianniti, M Hosseini, D Ardagna, M Alexandre, M Fabricio, ...
9th International Conference on Cloud Computing and Services Science, 609-618, 2019
12019
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