Sfoglia per Autore
D-SPACE4Cloud: Towards Quality-Aware Data Intensive Applications in the Cloud
In corso di stampa Gianniti, Eugenio; Ciavotta, Michele; Ardagna, Danilo
FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum
In corso di stampa Filippini, Federica; Cavadini, Riccardo; Ardagna, Danilo; Lancellotti, Riccardo; Russo Russo, Gabriele; Cardellini, Valeria; Lo Presti, Francesco
Performance Models for Distributed Deep Learning Training Jobs on Ray
In corso di stampa Filippini, Federica; Lublinsky, Boris; de Bayser, Maximilien; Ardagna, Danilo
A Robust Game Approach for On Spot Price Cloud Markets in Microservice-Based Applications
2025-01-01 Sedghani, Hamta; Passacantando, Mauro; Lancellotti, Riccardo; Zolfy Lighvan, Mina; Ardagna, Danilo
Efficient parameter tuning for a structure-based virtual screening HPC application
2025-01-01 Guindani, B.; Gadioli, D.; Rocco, R.; Ardagna, D.; Palermo, G.
Deep Surrogate Models of Serverless Batch Processing Services
2025-01-01 Gao, Yicheng; Sala, Roberto; Ardagna, Danilo; Casale, Giuliano
OSCAR-P and aMLLibrary: Profiling and predicting the performance of FaaS-based applications in computing continua
2025-01-01 Sala, Roberto; Guindani, Bruno; Galimberti, Enrico; Filippini, Federica; Sedghani, Hamta; Ardagna, Danilo; Risco, Sebastián; Moltó, Germán; Caballer, Miguel
Bayesian optimization for cloud resource management through machine learning
2024-01-01 Guindani, Bruno; Ardagna, Danilo; Guglielmi, Alessandra
LIGATE - LIgand Generator and portable drug discovery platform AT Exascale
2024-01-01 Palermo, G.; Accordi, G.; Gadioli, D.; Zhang, Y.; Vitali, E.; Guindani, B.; Ardagna, D.; Silvano, C.; Beccari, A. R.; Bonanni, D.; Talarico, C.; Lughini, F.; Biswas, A. D.; Martinovic, J.; Golasowski, M.; Silva, P.; Bohm, A.; Beranek, J.; Krenek, J.; Jansik, B.; Thoman, P.; Salzmann, P.; Fahringer, T.; Schwede, T.; Alexander, L. T.; Tauriello, G.; Durairaj, J.; Cosenza, B.; Crisci, L.; Emerson, A.; Ficarelli, F.; Lindahl, E.; Wingbermühle, S.; Gregori, D.; Coletti, S.; Sana, E.; Gschwandtner, P.
AI-SPRINT: Design and Runtime Framework for Accelerating the Development of AI Applications in the Computing Continuum
2024-01-01 Lattari, Francesco; Matteucci, Matteo; Ardagna, Danilo
Machine Learning to Predict Risk Management Applications Performance
2024-01-01 De Giorgi, L.; Ardagna, D.
SPACE4AI-D: A Design-Time Tool for AI Applications Resource Selection in Computing Continua
2024-01-01 Sedghani, Hamta; Filippini, Federica; Ardagna, Danilo
Harnessing the computing continuum across personalized healthcare, maintenance and inspection, and Farming 4.0
2024-01-01 Baghdadi, F.; Cirillo, D.; Lezzi, D.; Lordan, F.; Vazquez, F.; Lomurno, E.; Archetti, A.; Ardagna, D.; Matteucci, M.
An Efficient Neural Architecture Search Model for Medical Image Classification
2024-01-01 Xie, L.; Lomurno, E.; Gambella, M.; Ardagna, D.; Roveri, M.; Matteucci, M.; Shi, Q.
PAK-MAN: Enhancing Parallel Bayesian Optimization of Cloud and HPC Systems via Machine Learning
2024-01-01 Barone, L.; Guindani, B.; Sala, R.; Gadioli, D.; Ardagna, D.; Guglielmi, A.
A Stochastic Approach for Scheduling AI Training Jobs in GPU-based Systems
2024-01-01 Filippini, Federica; Anselmi, Jonatha; Ardagna, Danilo; Gaujal, Bruno
Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees
2024-01-01 Sala, R.; Filippini, F.; Ardagna, D.; Lezzi, D.; Lordan, F.; Thiem, P.
AI Applications Resource Allocation in Computing Continuum: A Stackelberg Game Approach
2024-01-01 Sala, Roberto; Sedghani, Hamta; Passacantando, Mauro; Verticale, Giacomo; Ardagna, Danilo
d-MALIBOO: a Bayesian Optimization framework for dealing with Discrete Variables
2024-01-01 Sala, Roberto; Guindani, Bruno; Ardagna, Danilo; Guglielmi, Alessandra
Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems
2024-01-01 Guindani, Bruno; Ardagna, Danilo; Guglielmi, Alessandra; Rocco, Roberto; Palermo, Gianluca
Runtime Management of Artificial Intelligence Applications for Smart Eyewears
2023-01-01 Kambale, A. W.; Sedghani, H.; Filippini, F.; Verticale, G.; Ardagna, D.
AMLLibrary: An AutoML Approach for Performance Prediction
2023-01-01 Guindani, Bruno; Lattuada, Marco; Ardagna, Danilo
OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications
2023-01-01 Galimberti, Enrico; Guindani, Bruno; Filippini, Federica; Sedghani, Hamta; Ardagna, Danilo; Risco, Sebastián; Moltó, Germán; Caballer, Miguel
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems
2023-01-01 Filippini, Federica; Lattuada, Marco; Ciavotta, Michele; Jahani, Arezoo; Ardagna, Danilo; Amaldi, Edoardo
POPNASv3: A pareto-optimal neural architecture search solution for image and time series classification
2023-01-01 Falanti, A.; Lomurno, E.; Ardagna, D.; Matteucci, M.
Fixed-Point Iteration Approach to Spark Scalable Performance Modeling and Evaluation
2023-01-01 Karimian Aliabadi, Soroush; Mohsen Aseman Manzar, Mohammad; Entezari Maleki, Reza; Ardagna, Danilo; Egger, Bernhard; Movaghar, Ali
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach
2023-01-01 Palermo, G.; Accordi, G.; Gadioli, D.; Vitali, E.; Silvano, C.; Guindani, B.; Ardagna, D.; Beccari, A. R.; Bonanni, D.; Talarico, C.; Lughini, F.; Martinovic, J.; Silva, P.; Bohm, A.; Beranek, J.; Krenek, J.; Jansik, B.; Cosenza, B.; Crisci, L.; Thoman, P.; Salzmann, P.; Fahringer, T.; Alexander, L. T.; Tauriello, G.; Schwede, T.; Durairaj, J.; Emerson, A.; Ficarelli, F.; Wingbermühle, S.; Lindhal, E.; Gregori, D.; Sana, E.; Coletti, S.; Gschwandtner, P.
SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua
2023-01-01 Filippini, F.; Sedghani, H.; Ardagna, D.
MALIBOO: When Machine Learning meets Bayesian Optimization
2022-01-01 Guindani, B.; Ardagna, D.; Guglielmi, A.
Scheduling Deep Learning Jobs Training in the Cloud: Comparing Multiple Approaches
2022-01-01 Precuzzi, Michele; Filippini, Federica; Ardagna, Danilo
A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications
2022-01-01 Ataie, Ehsan; Evangelinou, Athanasia; Gianniti, Eugenio; Ardagna, Danilo
Bayesian optimization with machine learning for big data applications in the cloud
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
A Stackelberg Game approach for Managing AI Sensing Tasks in Mobile Crowdsensing
2022-01-01 Sedghani, Hamta; Lighvan, Mina Zolfy; Aghdasi, Hadi S.; Passacantando, Mauro; Verticale, Giacomo; Ardagna, Danilo
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique
2022-01-01 Falanti, Andrea; Lomurno, Eugenio; Samele, Stefano; Ardagna, Danilo; Matteucci, Matteo
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.
A Hierarchical Receding Horizon Algorithm for QoS-driven control of Multi-IaaS Applications
2021-01-01 Ardagna, Danilo; Ciavotta, Michele; Lancellotti, Riccardo; Guerriero, Michele
Optimizing Quality-Aware Big Data Applications in the Cloud
2021-01-01 Gianniti, E.; Ciavotta, M.; Ardagna, D.
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 Randomized Greedy Method for AI Applications Component Placement and Resource Selection in Computing Continua
2021-01-01 Sedghani, H.; Filippini, F.; Ardagna, D.
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
Pareto-Optimal Progressive Neural Architecture Search
2021-01-01 Ardagna, D.; Lomurno, E.; Matteucci, M.; Samele, S.
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.
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
Optimal Resource Allocation of Cloud-Based Spark Applications
2020-01-01 Lattuada, M.; Barbierato, E.; Gianniti, E.; Ardagna, D.
Performance Prediction for Data-driven Workflows on Apache Spark
2020-01-01 Gulino, Andrea; Canakoglu, Arif; Ceri, Stefano; Ardagna, Danilo
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.
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.
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
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