Danilo Ardagna

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 78

Top Venues

CoRR

IEEE Trans. Cloud Comput.

SYNASC

Future Gener. Comput. Syst.

Publications

Fatemeh Baghdadi, Davide Cirillo, Daniele Lezzi, Francesc Lordan, Fernando Vazquez, Eugenio Lomurno, Alberto Archetti, Danilo Ardagna, Matteo Matteucci
Harnessing the Computing Continuum Across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0. CLOSER (2024)
Fatemeh Baghdadi, Davide Cirillo, Daniele Lezzi, Francesc Lordan, Fernando Vazquez, Eugenio Lomurno, Alberto Archetti, Danilo Ardagna, Matteo Matteucci
Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0. CoRR (2024)
Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi, Roberto Rocco, Gianluca Palermo
Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems. IEEE Trans. Cloud Comput. 12 (1) (2024)
Lunchen Xie, Eugenio Lomurno, Matteo Gambella, Danilo Ardagna, Manuel Roveri, Matteo Matteucci, Qingjiang Shi
A Lightweight Neural Architecture Search Model for Medical Image Classification. CoRR (2024)
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Yuedong Zhang, Emanuele Vitali, Bruno Guindani, Danilo Ardagna, Cristina Silvano, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Akash Deep Biswas, Jan Martinovic, Martin Golasowski, Paulo Silva, Ada Böhm, Jakub Beránek, Jan Krenek, Branislav Jansik, Peter Thoman, Philip Salzmann, Thomas Fahringer, Torsten Schwede, Leila Tamara Alexander, Gerardo Tauriello, Janani Durairaj, Biagio Cosenza, Luigi Crisci, Andrew Emerson, Federico Ficarelli, Eric Lindahl, Sebastian Wingbermühle, Daniele Gregori, Silvano Coletti, Emanuele Sana, Philipp Gschwandtner
LIGATE - LIgand Generator and portable drug discovery platform AT Exascale. CF (Companion) (2024)
Federica Filippini, Jonatha Anselmi, Danilo Ardagna, Bruno Gaujal
A Stochastic Approach for Scheduling AI Training Jobs in GPU-Based Systems. IEEE Trans. Cloud Comput. 12 (1) (2024)
Roberto Sala, Federica Filippini, Danilo Ardagna, Daniele Lezzi, Francesc Lordan, Patrick Thiem
Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees. AINA (5) (2024)
Francesco Lattari, Matteo Matteucci, Danilo Ardagna
AI-SPRINT: Design and Runtime Framework for Accelerating the Development of AI Applications in the Computing Continuum. AINA (5) (2024)
Federica Filippini, Hamta Sedghani, Danilo Ardagna
SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua. UCC (2023)
Andrea Falanti, Eugenio Lomurno, Danilo Ardagna, Matteo Matteucci
POPNASv3: A pareto-optimal neural architecture search solution for image and time series classification. Appl. Soft Comput. 145 (2023)
Bruno Guindani, Marco Lattuada, Danilo Ardagna
aMLLibrary: An AutoML Approach For Performance Prediction. ECMS (2023)
Ehsan Ataie, Athanasia Evangelinou, Eugenio Gianniti, Danilo Ardagna
Erratum to: A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications. Comput. J. 66 (2) (2023)
Danilo Ardagna, Elisabetta Di Nitto, Lorenzo Blasi, Francesc Lordan
ICPE'23 Fast Continuum Workshop Chairs' Welcome. ICPE (Companion) (2023)
Federica Filippini, Boris Lublinsky, Maximilien de Bayser, Danilo Ardagna
Performance Models for Distributed Deep Learning Training Jobs on Ray. SEAA (2023)
Federica Filippini, Riccardo Cavadini, Danilo Ardagna, Riccardo Lancellotti, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum. UCC (2023)
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Jan Martinovic, Paulo Silva, Ada Bohm, Jakub Beránek, Jan Krenek, Branislav Jansik, Biagio Cosenza, Luigi Crisci, Peter Thoman, Philip Salzmann, Thomas Fahringer, Leila T. Alexander, Gerardo Tauriello, Torsten Schwede, Janani Durairaj, Andrew Emerson, Federico Ficarelli, Sebastian Wingbermühle, Eric Lindahl, Daniele Gregori, Emanuele Sana, Silvano Coletti, Philipp Gschwandtner
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. CF (2023)
Federica Filippini, Marco Lattuada, Michele Ciavotta, Arezoo Jahani, Danilo Ardagna, Edoardo Amaldi
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems. IEEE Trans. Serv. Comput. 16 (3) (2023)
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Jan Martinovic, Paulo Silva, Ada Bohm, Jakub Beránek, Jan Krenek, Branislav Jansik, Luigi Crisci, Biagio Cosenza, Peter Thoman, Philip Salzmann, Thomas Fahringer, Leila T. Alexander, Gerardo Tauriello, Torsten Schwede, Janani Durairaj, Andrew Emerson, Federico Ficarelli, Sebastian Wingbermuhle, Eric Lindahl, Daniele Gregori, Emanuele Sana, Silvano Coletti, Philipp Gschwandtner
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. CoRR (2023)
Soroush Karimian Aliabadi, Mohammad-Mohsen Aseman-Manzar, Reza Entezari-Maleki, Danilo Ardagna, Bernhard Egger, Ali Movaghar
Fixed-Point Iteration Approach to Spark Scalable Performance Modeling and Evaluation. IEEE Trans. Cloud Comput. 11 (1) (2023)
Abednego Wamuhindo Kambale, Hamta Sedghani, Federica Filippini, Giacomo Verticale, Danilo Ardagna
Runtime Management of Artificial Intelligence Applications for Smart Eyewears. UCC (2023)
Enrico Galimberti, Bruno Guindani, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Germán Moltó, Miguel Caballer
OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications. ICPE (Companion) (2023)
Andrea Falanti, Eugenio Lomurno, Danilo Ardagna, Matteo Matteucci
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification. CoRR (2022)
Hamta Sedghani, Mina Zolfy Lighvan, Hadi S. Aghdasi, Mauro Passacantando, Giacomo Verticale, Danilo Ardagna
A Stackelberg Game Approach for Managing AI Sensing Tasks in Mobile Crowdsensing. IEEE Access 10 (2022)
Marco Lattuada, Enrico Barbierato, Eugenio Gianniti, Danilo Ardagna
Optimal Resource Allocation of Cloud-Based Spark Applications. IEEE Trans. Cloud Comput. 10 (2) (2022)
Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna, Elisabetta Di Nitto, Marco Lattuada, Marcos Aurélio Almeida da Silva
Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach. IEEE Trans. Cloud Comput. 10 (3) (2022)
Marco Lattuada, Eugenio Gianniti, Danilo Ardagna, Li Zhang
Performance prediction of deep learning applications training in GPU as a service systems. Clust. Comput. 25 (2) (2022)
Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. CoRR (2022)
Ehsan Ataie, Athanasia Evangelinou, Eugenio Gianniti, Danilo Ardagna
A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications. Comput. J. 65 (12) (2022)
Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi
MALIBOO: When Machine Learning meets Bayesian Optimization. SmartCloud (2022)
Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. IJCNN (2022)
Hamta Sedghani, Federica Filippini, Danilo Ardagna
A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua. EDGE (2021)
Eugenio Lomurno, Stefano Samele, Matteo Matteucci, Danilo Ardagna
Pareto-optimal progressive neural architecture search. GECCO Companion (2021)
Danilo Ardagna, Enrico Barbierato, Eugenio Gianniti, Marco Gribaudo, Túlio B. M. Pinto, Ana Paula Couto da Silva, Jussara M. Almeida
Predicting the performance of big data applications on the cloud. J. Supercomput. 77 (2) (2021)
Hamta Sedghani, Danilo Ardagna, Matteo Matteucci, Giulio Angelo Fontana, Giacomo Verticale, Fabrizio Amarilli, Rosa M. Badia, Daniele Lezzi, Ignacio Blanquer, André Martin, Konrad Wawruch
Advancing Design and Runtime Management of AI Applications with AI-SPRINT (Position Paper). COMPSAC (2021)
Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna
Machine Learning for Performance Prediction of Spark Cloud Applications. CoRR (2021)
Eugenio Gianniti, Michele Ciavotta, Danilo Ardagna
Optimizing Quality-Aware Big Data Applications in the Cloud. IEEE Trans. Cloud Comput. 9 (2) (2021)
Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Michele Ciavotta, Fabrizio Magugliani, Marco Cicala
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. FiCloud (2021)
Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Michele Ciavotta, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Fabrizio Magugliani, Marco Cicala
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. CoRR (2021)
Hamta Sedghani, Danilo Ardagna, Mauro Passacantando, Mina Zolfy Lighvan, Hadi S. Aghdasi
An incentive mechanism based on a Stackelberg game for mobile crowdsensing systems with budget constraint. Ad Hoc Networks 123 (2021)
Danilo Ardagna, Michele Ciavotta, Riccardo Lancellotti, Michele Guerriero
A Hierarchical Receding Horizon Algorithm for QoS-Driven Control of Multi-IaaS Applications. IEEE Trans. Cloud Comput. 9 (2) (2021)
Federica Filippini, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. SYNASC (2020)
Andrea Gulino, Arif Canakoglu, Stefano Ceri, Danilo Ardagna
Performance Prediction for Data-driven Workflows on Apache Spark. MASCOTS (2020)
Ehsan Ataie, Reza Entezari-Maleki, Leila Rashidi, Kishor S. Trivedi, Danilo Ardagna, Ali Movaghar
Hierarchical Stochastic Models for Performance, Availability, and Power Consumption Analysis of IaaS Clouds. IEEE Trans. Cloud Comput. 7 (4) (2019)
Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna, Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida
Gray-Box Models for Performance Assessment of Spark Applications. CLOSER (2019)
Eugenio Gianniti, Li Zhang, Danilo Ardagna
Performance Prediction of GPU-based Deep Learning Applications. CLOSER (2019)
Arezoo Jahani, Marco Lattuada, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi, Li Zhang
Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training. ICCCS (2019)
Andy S. Alic, Jussara M. Almeida, Giovanni Aloisio, Nazareno Andrade, Nuno Antunes, Danilo Ardagna, Rosa M. Badia, Tânia Basso, Ignacio Blanquer, Tarciso Braz, Andrey Brito, Donatello Elia, Sandro Fiore, Dorgival O. Guedes, Marco Lattuada, Daniele Lezzi, Matheus Maciel, Wagner Meira Jr., Demetrio Gomes Mestre, Regina Moraes, Fábio Morais, Carlos Eduardo S. Pires, Nádia P. Kozievitch, Walter dos Santos, Paulo Silva, Marco Vieira
BIGSEA: A Big Data analytics platform for public transportation information. Future Gener. Comput. Syst. 96 (2019)
Soroush Karimian Aliabadi, Danilo Ardagna, Reza Entezari-Maleki, Eugenio Gianniti, Ali Movaghar
Analytical composite performance models for Big Data applications. J. Netw. Comput. Appl. 142 (2019)
Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna
Machine Learning for Performance Prediction of Spark Cloud Applications. CLOUD (2019)
Marco Scavuzzo, Elisabetta Di Nitto, Danilo Ardagna
Experiences and challenges in building a data intensive system for data migration. Empir. Softw. Eng. 23 (1) (2018)
Marzieh Malekimajd, Danilo Ardagna, Michele Ciavotta, Eugenio Gianniti, Mauro Passacantando, Alessandro Maria Rizzi
An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems. J. Supercomput. 74 (10) (2018)
Ehsan Ataie, Reza Entezari-Maleki, Sayed Ehsan Etesami, Bernhard Egger, Danilo Ardagna, Ali Movaghar
Power-aware performance analysis of self-adaptive resource management in IaaS clouds. Future Gener. Comput. Syst. 86 (2018)
Danilo Ardagna, Claudia Canali, Riccardo Lancellotti
Special Issue on Algorithms for the Resource Management of Large Scale Infrastructures. Algorithms 11 (12) (2018)
Andy S. Alic, Jussara M. Almeida, Wagner Meira Jr., Dorgival O. Guedes, Walter dos Santos, Ignacio Blanquer, Sandro Fiore, Nádia P. Kozievitch, Nazareno Andrade, Tarciso Braz, Andrey Brito, Carlos Eduardo S. Pires, Nuno Antunes, Marco Vieira, Paulo Silva, Danilo Ardagna, Keiko V. O. Fonseca, Daniele Lezzi, Donatello Elia, Regina Moraes, Tânia Basso, Wilian H. Cavassin
GIS and Data: Three applications to enhance Mobility. GEOINFO (2018)
Danilo Ardagna, Enrico Barbierato, Athanasia Evangelinou, Eugenio Gianniti, Marco Gribaudo, Túlio B. M. Pinto, Anna Guimarães, Ana Paula Couto da Silva, Jussara M. Almeida
Performance Prediction of Cloud-Based Big Data Applications. ICPE (2018)
Lorela Cano, Giuliana Carello, Danilo Ardagna
A framework for joint resource allocation of MapReduce and web service applications in a shared cloud cluster. J. Parallel Distributed Comput. 120 (2018)
Marco Scavuzzo, Elisabetta Di Nitto, Danilo Ardagna
Experiences and challenges in building a data intensive system for data migration. ICSE (2018)
Danilo Ardagna, Cinzia Cappiello, Walter Samá, Monica Vitali
Context-aware data quality assessment for big data. Future Gener. Comput. Syst. 89 (2018)
Athanasia Evangelinou, Michele Ciavotta, Danilo Ardagna, Aliki Kopaneli, George Kousiouris, Theodora A. Varvarigou
Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach. Future Gener. Comput. Syst. 78 (2018)
Eugenio Gianniti, Li Zhang, Danilo Ardagna
Performance Prediction of GPU-Based Deep Learning Applications. SBAC-PAD (2018)
Danilo Ardagna, Cinzia Cappiello
Special issue on sustainable computing systems and applications. Computing 99 (6) (2017)
Safia Kalwar, Eugenio Gianniti, Joas Yannick Kinouani, Youssef Ridene, Danilo Ardagna
Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems. InfQ@VALUETOOLS (2017)
Michele Ciavotta, Danilo Ardagna, Giovanni Paolo Gibilisco
A mixed integer linear programming optimization approach for multi-cloud capacity allocation. J. Syst. Softw. 123 (2017)
Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo, Danilo Ardagna
Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications. SIGMETRICS Perform. Evaluation Rev. 44 (4) (2017)
Eugenio Gianniti, Danilo Ardagna, Michele Ciavotta, Mauro Passacantando
A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce. CoRR (2017)
Eugenio Gianniti, Danilo Ardagna, Michele Ciavotta, Mauro Passacantando
A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce. CCGrid (2017)
Danilo Ardagna, Michele Ciavotta, Mauro Passacantando
Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems. IEEE Trans. Serv. Comput. 10 (3) (2017)
Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang
The Economics of the Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2 (4) (2017)
Michele Ciavotta, Eugenio Gianniti, Danilo Ardagna
Capacity Allocation for Big Data Applications in the Cloud. ICPE Companion (2017)
Ehsan Ataie, Eugenio Gianniti, Danilo Ardagna, Ali Movaghar
A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Cloud Environment. SYNASC (2016)
Danilo Ardagna, Lutz Schubert
Editorial. Computing 98 (5) (2016)
Michele Ciavotta, Eugenio Gianniti, Danilo Ardagna
D-SPACE4Cloud: A Design Tool for Big Data Applications. CoRR (2016)
Danilo Ardagna, Simona Bernardi, Eugenio Gianniti, Soroush Karimian Aliabadi, Diego Perez-Palacin, José Ignacio Requeno
Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets. ICA3PP (2016)
Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo, Danilo Ardagna
Fluid Petri Nets for the Performance Evaluation of MapReduce Applications. VALUETOOLS (2016)
Michele Ciavotta, Eugenio Gianniti, Danilo Ardagna
D-SPACE4Cloud: A Design Tool for Big Data Applications. ICA3PP (2016)
Mauro Passacantando, Danilo Ardagna, Anna Savi
Service Provisioning Problem in Cloud and Multi-Cloud Systems. INFORMS J. Comput. 28 (2) (2016)
Michele Ciavotta, Danilo Ardagna, Anne Koziolek
Palladio Optimization Suite: QoS optimization for component-based Cloud applications. EAI Endorsed Trans. Cloud Syst. 2 (6) (2016)
Giovanni Paolo Gibilisco, Min Li, Li Zhang, Danilo Ardagna
Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms. CLOUD (2016)
Marzieh Malekimajd, Danilo Ardagna, Michele Ciavotta, Alessandro Maria Rizzi, Mauro Passacantando
Optimal Map Reduce Job Capacity Allocation in Cloud Systems. SIGMETRICS Perform. Evaluation Rev. 42 (4) (2015)
Giuliano Casale, Danilo Ardagna, Matej Artac, Franck Barbier, Elisabetta Di Nitto, Alexis Henry, Gabriel Iuhasz, Christophe Joubert, José Merseguer, Victor Ion Munteanu, Juan Fernando Pérez, Dana Petcu, Matteo Rossi, Craig Sheridan, Ilias Spais, Daniel Vladuic
DICE: Quality-Driven Development of Data-Intensive Cloud Applications. MiSE@ICSE (2015)
Michele Guerriero, Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna
A Model-Driven DevOps Framework for QoS-Aware Cloud Applications. SYNASC (2015)
Michele Guerriero, Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna
SPACE4Cloud: a DevOps environment for multi-cloud applications. QUDOS@SIGSOFT FSE (2015)
Danilo Ardagna
Cloud and Multi-cloud Computing: Current Challenges and Future Applications. PESOS@ICSE (2015)
Danilo Ardagna, Mark S. Squillante
Special Issue on Performance and Resource Management in Big Data Applications. SIGMETRICS Perform. Evaluation Rev. 42 (4) (2015)
Athanasia Evangelinou, Michele Ciavotta, George Kousiouris, Danilo Ardagna
A Joint Benchmark-Analytic Approach For Design-Time Assessment of Multi-Cloud Applications. Cloud Forward (2015)
Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang
The economics of the cloud: price competition and congestion. SIGMETRICS Perform. Evaluation Rev. 41 (4) (2014)
Marzieh Malekimajd, Alessandro Maria Rizzi, Danilo Ardagna, Michele Ciavotta, Mauro Passacantando, Ali Movaghar
Optimal Capacity Allocation for Executing MapReduce Jobs in Cloud Systems. SYNASC (2014)
Danilo Ardagna, Michele Ciavotta, Riccardo Lancellotti
A Receding Horizon Approach for the Runtime Management of IaaS Cloud Systems. SYNASC (2014)
Marcos Aurélio Almeida da Silva, Danilo Ardagna, Nicolas Ferry, Juan F. Pérez
Model-Driven Design of Cloud Applications with Quality-of-Service Guarantees: The MODAClouds Approach, MICAS Tutorial. SYNASC (2014)
Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang
The economics of the cloud: price competition and congestion. SIGecom Exch. 13 (1) (2014)
Danilo Ardagna, Giovanni Paolo Gibilisco, Michele Ciavotta, Alexander Lavrentev
A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications. SSBSE (2014)
Bernardetta Addis, Danilo Ardagna, Antonio Capone, Giuliana Carello
Energy-aware joint management of networks and Cloud infrastructures. Comput. Networks 70 (2014)
Dana Petcu, Elisabetta Di Nitto, Danilo Ardagna, Amor Solberg, Giuliano Casale
Towards Multi-Clouds engineering. INFOCOM Workshops (2014)
Giulia Rumi, Claudia Colella, Danilo Ardagna
Optimization Techniques within the Hadoop Eco-system: A Survey. SYNASC (2014)
Danilo Ardagna, Giuliano Casale, Michele Ciavotta, Juan F. Pérez, Weikun Wang
Quality-of-service in cloud computing: modeling techniques and their applications. J. Internet Serv. Appl. 5 (1) (2014)
Jonatha Anselmi, Danilo Ardagna, Mauro Passacantando
Generalized Nash equilibria for SaaS/PaaS Clouds. Eur. J. Oper. Res. 236 (1) (2014)
Filippo Giove, Davide Longoni, Majid Shokrolahi Yancheshmeh, Danilo Ardagna, Elisabetta Di Nitto
An Approach for the Development of Portable Applications on PaaS Clouds. CLOSER (2013)
Anne Koziolek, Danilo Ardagna, Raffaela Mirandola
Hybrid multi-attribute QoS optimization in component based software systems. J. Syst. Softw. 86 (10) (2013)
Elisabetta Di Nitto, Marcos Aurélio Almeida da Silva, Danilo Ardagna, Giuliano Casale, Ciprian Dorin Craciun, Nicolas Ferry, Victor Muntés, Arnor Solberg
Supporting the Development and Operation of Multi-cloud Applications: The MODAClouds Approach. SYNASC (2013)
Marco Miglierina, Giovanni Paolo Gibilisco, Danilo Ardagna, Elisabetta Di Nitto
Model based control for multi-cloud applications. MiSE (2013)

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Publication Activity (10 Years)

Top Topics

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Danilo Ardagna