Sfoglia per Autore
Optimal Map Reduce Job Capacity Allocation in Cloud Systems.
2015-01-01 M., Malekimajd; Ardagna, Danilo; Ciavotta, Michele; Rizzi, ALESSANDRO MARIA; M., Passacantando
D-SPACE4Cloud: A Design Tool for Big Data Applications
2016-01-01 Ciavotta, Michele; Gianniti, Eugenio; Ardagna, Danilo
A Model-Driven DevOps Framework for QoS-Aware Cloud Applications
2016-01-01 Guerriero, Michele; Ciavotta, Michele; Gibilisco, GIOVANNI PAOLO; Ardagna, Danilo
Palladio Optimization Suite: QoS Optimization for Component-based Cloud Applications
2016-01-01 Ciavotta, Michele; Ardagna, Danilo; Koziolek, Anne
Modeling performance of Hadoop applications: A journey from queueing networks to stochastic well formed nets
2016-01-01 Ardagna, Danilo; Bernardi, Simona; Gianniti, Eugenio; Aliabadi, Soroush Karimian; PEREZ PALACIN, DIEGO CARMELO; Requeno, José Ignacio
A Mixed Integer Linear Programming Optimization Approach for Multi-Cloud Capacity Allocation
2016-01-01 Ciavotta, Michele; Ardagna, Danilo; Gibilisco, GIOVANNI PAOLO
A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Hadoop Clusters
2016-01-01 Ataie, Ehsan; Gianniti, Eugenio; Ardagna, Danilo; Movaghar, Ali
Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms
2016-01-01 Gibilisco, GIOVANNI PAOLO; Li, M.; Zhang, Li; Ardagna, Danilo
Service provisioning problem in cloud and multi-cloud systems
2016-01-01 Passacantando, Mauro; Ardagna, Danilo; Savi, Anna
Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems
2017-01-01 Ardagna, Danilo; Ciavotta, Michele; Passacantando, Mauro
The Economics of the Cloud
2017-01-01 Anselmi, Jonatha; Ardagna, Danilo; Lui, John C. S.; Wierman, Adam; Xu, Yunjian; Yang, Zichao
Data Collection and Analysis at Local Scale: The Experience within the Poli-RISPOSTA Project
2017-01-01 Munoz, C. A.; Mazuran, M.; Minucci, G.; Ardagna, D.; Brovelli, M.
Fluid Petri Nets for the Performance Evaluation of MapReduce Applications
2017-01-01 Gianniti, Eugenio; Rizzi, ALESSANDRO MARIA; Barbierato, Enrico; Gribaudo, Marco; Ardagna, Danilo
Experiences and challenges in building a data intensive system for data migration
2017-01-01 Scavuzzo, Marco; DI NITTO, Elisabetta; Ardagna, Danilo
Fluid petri nets for the performance evaluation of mapreduce and spark applications
2017-01-01 Gianniti, Eugenio; Rizzi, ALESSANDRO MARIA; Barbierato, Enrico; Gribaudo, Marco; Ardagna, Danilo
A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce
2017-01-01 Gianniti, Eugenio; Ardagna, Danilo; Ciavotta, Michele; Passacantando, Mauro
Context-aware Data Quality Assessment for Big Data
2018-01-01 Ardagna, Danilo; Cappiello, Cinzia; Samà, Walter; Vitali, Monica
Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach
2018-01-01 Evangelinou, Athanasia; Ciavotta, Michele; Ardagna, Danilo; Kopaneli, Aliki; Kousiouris, George; Varvarigou, Theodora A.
A framework for joint resource allocation of MapReduce and web service applications in a shared cloud cluster
2018-01-01 Cano, Lorela; Carello, Giuliana; Ardagna, Danilo
The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods
2018-01-01 Ballio, Francesco; Molinari, Daniela; Minucci, Guido; Mazuran, Mirjana; ARIAS MUNOZ, Carolina; Menoni, Scira; Atun, Funda; Ardagna, Danilo; N., Berni; Pandolfo, C.
Power-aware performance analysis of self-adaptive resource management in IaaS clouds
2018-01-01 Ataie, E.; Entezari-Maleki, R.; Etesami, S. E.; Egger, B.; Ardagna, D.; Movaghar, A.
An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems
2018-01-01 Malekimajd, M.; Ardagna, D.; Ciavotta, M.; Gianniti, E.; Passacantando, M.; Rizzi, A. M.
Performance Prediction of GPU-based Deep Learning Applications
2018-01-01 Gianniti, E; Zhang, L; Ardagna, D
Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems
2018-01-01 Safia, Kalwar; Gianniti, E.; Yannick Kinouani, J.; Ridene, Y.; Ardagna, D.
Performance Prediction of Cloud-Based Big Data Applications
2018-01-01 Ardagna, Danilo; Barbierato, Enrico; Evangelinou, Athanasia; Gianniti, Eugenio; Gribaudo, Marco; Pinto, Túlio B. M.; Anna, Guimarães; Ana Paula Couto da Silva, ; Almeida, Jussara M.
GIS and data: Three applications to enhance mobility
2018-01-01 Alic, A. S.; Almeida, J.; Meira, W.; Guedes, D.; dos Santos, W.; Blanquer, I.; Fiore, S.; Kozievitch, N. P.; Andrade, N.; Braz, T.; Brito, A.; Pires, C. E.; Antunes, N.; Vieira, M.; Silva, P.; Ardagna, D.; Fonseca, K.; Lezzi, D.; Elia, D.; Moraes, R.; Basso, T.; Cavassin, W. H.
BIGSEA: A Big Data analytics platform for public transportation information
2019-01-01 Alic, Andy S.; Almeida, Jussara; Aloisio, Giovanni; Andrade, Nazareno; Antunes, Nuno; Ardagna, Danilo; Badia, Rosa M.; Basso, Tania; Blanquer, Ignacio; Braz, Tarciso; Brito, Andrey; Elia, Donatello; Fiore, Sandro; Guedes, Dorgival; Lattuada, Marco; Lezzi, Daniele; Maciel, Matheus; Meira, Wagner; Mestre, Demetrio; Moraes, Regina; Morais, Fabio; Pires, Carlos Eduardo; Kozievitch, Nádia P.; Santos, Walter dos; Silva, Paulo; Vieira, Marco
Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training
2019-01-01 Jahani, Arezoo; Lattuada, Marco; Ciavotta, Michele; Ardagna, Danilo; Amaldi, Edoardo; Zhang, Li
Machine Learning for Performance Prediction of Spark Cloud Applications
2019-01-01 Maros, Alexandre; Murai, Fabricio; Couto da Silva, Ana Paula; M. Almeida, Jussara; Lattuada, Marco; Gianniti, Eugenio; Hosseini, Marjan; Ardagna, Danilo
Hierarchical Stochastic Models for Performance, Availability, and Power Consumption Analysis of IaaS Clouds
2019-01-01 Ataie, E.; Entezari-Maleki, R.; Rashidi, L.; Trivedi, K. S.; Ardagna, D.; Movaghar, A.
Performance Prediction of GPU-based Deep Learning Application
2019-01-01 Gianniti, E.; Zhang, L.; Ardagna, Danilo
Analytical composite performance models for Big Data applications
2019-01-01 Karimian-Aliabadia, S.; Ardagna, D.; Entezari-Maleki, R.; Gianniti, E.; Movaghar, A.
Gray-Box Models for Performance Assessment of Spark Applications
2019-01-01 Lattuada, Marco; Gianniti, Eugenio; Hosseini, Marjan; Ardagna, Danilo; Alexandre, Maros; Fabricio, Murai; COUTO da SILVA, ANA PAULA; Jussara, M. Almeida.
Performance Prediction for Data-driven Workflows on Apache Spark
2020-01-01 Gulino, Andrea; Canakoglu, Arif; Ceri, Stefano; Ardagna, Danilo
Optimal Resource Allocation of Cloud-Based Spark Applications
2020-01-01 Lattuada, M.; Barbierato, E.; Gianniti, E.; Ardagna, D.
Architectural Design of Cloud Applications: a Performance-aware Cost Minimization Approach. IEEE Transactions on Cloud Computing
2020-01-01 Ciavotta, M.; Gibilisco, G. P.; Ardagna, D.; Di Nitto, E.; Lattuada, M.; Almeida da Silva, M. A.
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems
2020-01-01 Filippini, Federica; Lattuada, Marco; Ciavotta, Michele; Jahani, Arezoo; Ardagna, Danilo; Amaldi, Edoardo
A Hierarchical Receding Horizon Algorithm for QoS-driven control of Multi-IaaS Applications
2021-01-01 Ardagna, Danilo; Ciavotta, Michele; Lancellotti, Riccardo; Guerriero, Michele
A Randomized Greedy Method for AI Applications Component Placement and Resource Selection in Computing Continua
2021-01-01 Sedghani, H.; Filippini, F.; Ardagna, D.
Pareto-Optimal Progressive Neural Architecture Search
2021-01-01 Ardagna, D.; Lomurno, E.; Matteucci, M.; Samele, S.
Optimizing Quality-Aware Big Data Applications in the Cloud
2021-01-01 Gianniti, E.; Ciavotta, M.; Ardagna, D.
Predicting the Performance of Big Data Applications on the Cloud
2021-01-01 Ardagna, D.; Barbierato, E.; Gianniti, E.; Gribaudo, M.; Pinto, T. B. M.; da Silva, A. P. C.; Almeida, J. M.
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS
2021-01-01 Filippini, Federica; Ardagna, Danilo; Lattuada, Marco; Amaldi, Edoardo; Riedl, Maciek; Materka, Katarzyna; Skrzypek, Paweł; Ciavotta, Michele; Magugliani, Fabrizio; Cicala, Marco
An incentive mechanism based on a Stackelberg game for mobile crowdsensing systems with budget constraint
2021-01-01 Sedghani, H.; Ardagna, D.; Passacantando, M.; Lighvan, M. Z.; Aghdasi, H. S.
A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua
2021-01-01 Sedghani, H.; Filippini, F.; Ardagna, D.
Advancing Design and Runtime Management of AI Applications with AI-SPRINT
2021-01-01 Sedghani, H.; Ardagna, D.; Matteucci, M.; Fontana, G.; Verticale, G.; Amarilli, F.; Badia, R.; Lezzi, D.; Blanquer, I.; Martin, A.; Wawruch, K.
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique
2022-01-01 Falanti, Andrea; Lomurno, Eugenio; Samele, Stefano; Ardagna, Danilo; Matteucci, Matteo
Bayesian optimization with machine learning for big data applications in the cloud
2022-01-01 Guindani, B.; Ardagna, D.; Guglielmi, A.
MALIBOO: When Machine Learning meets Bayesian Optimization
2022-01-01 Guindani, B.; Ardagna, D.; Guglielmi, A.
Performance Prediction of Deep Learning Applications Training in GPU as a Service Systems
2022-01-01 Lattuada, Marco; Gianniti, Eugenio; Ardagna, Danilo; Zhang, Li
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