A cost-oriented methodology for the design of web based IT architectures. - Danilo Ardagna; Chiara Francalanci (SAC, 2002)

A multi-model algorithm for the cost-oriented design of the information technology infrastructure. - Danilo Ardagna; Chiara Francalanci; Marco Trubian (ECIS, 2003)

Evolutionary Design of Information Systems Architectures. - Danilo Ardagna; Chiara Francalanci; Vincenzo Piuri; Fabio Scotti (ICAISC, 2004)

SLA based profit optimization in autonomic computing systems. - Li Zhang 002; Danilo Ardagna (ICSOC, 2004)

A cost-oriented approach for infrastructural design. - Danilo Ardagna; Chiara Francalanci; Marco Trubian (SAC, 2004)

SLA based profit optimization in web systems. - Li Zhang 002; Danilo Ardagna (WWW (Alternate Track Papers & Posters), 2004)

Designing and Rightsizing the Information System Architecture. - Danilo Ardagna; Chiara Francalanci; Vincenzo Piuri (Inf. Syst. Frontiers, 2004)

A cost-oriented methodology for the design of information technology architectures. - Danilo Ardagna (2004)

Global and Local QoS Guarantee in Web Service Selection. - Danilo Ardagna; Barbara Pernici (Business Process Management Workshops, 2005)

The MAIS approach to web service design. - Marzia Adorni; Francesca Arcelli; Danilo Ardagna; Luciano Baresi; Carlo Batini; Cinzia Cappiello; Marco Comerio; Marco Comuzzi; Flavio De Paoli; Chiara Francalanci; Paolo Losi; Simone Grega; et al. (EMMSAD, 2005)

An Hybrid Approach to QoS Evaluation. - Danilo Ardagna; Marco Comerio; Flavio De Paoli; Simone Grega (EMMSAD, 2005)

A Cost-Oriented Tool to Support Server Consolidation. - Danilo Ardagna; Chiara Francalanci; Gianfranco Bazzigaluppi; Mauro Gatti; Francesco Silveri; Marco Trubian (ICEIS (3), 2005)

Global and Local QoS Constraints Guarantee in Web Service Selection. - Danilo Ardagna; Barbara Pernici (ICWS, 2005)

A Broker for Selecting and Provisioning High Quality Syndicated Data. - Danilo Ardagna; Cinzia Cappiello; Marco Comuzzi; Chiara Francalanci; Barbara Pernici (ICIQ, 2005)

SLA Based Profit Optimization in Multi-tier Systems. - Danilo Ardagna; Marco Trubian; Li Zhang 002 (NCA, 2005)

A cost-oriented approach for the design of IT architectures. - Danilo Ardagna; Chiara Francalanci (J. Inf. Technol., 2005)

Web Services Composition in Autonomic Grid Environments. - Danilo Ardagna; Silvia Lucchini; Raffaela Mirandola; Barbara Pernici (Business Process Management Workshops, 2006)

Resource Management in the Autonomic Service-Oriented Architecture. - Jussara M. Almeida; Virgílio A. F. Almeida; Danilo Ardagna; Chiara Francalanci; Marco Trubian (ICAC, 2006)

Brokering Multisource Data with Quality Constraints. - Danilo Ardagna; Cinzia Cappiello; Chiara Francalanci; Annalisa Groppi (OTM Conferences (1), 2006)

QoS-Driven Web Services Selection in Autonomic Grid Environments. - Danilo Ardagna; Gabriele Giunta; Nunzio Ingraffia; Raffaela Mirandola; Barbara Pernici (OTM Conferences (2), 2006)

Dynamic web service composition with QoS constraints. - Danilo Ardagna; Barbara Pernici (Int. J. Bus. Process. Integr. Manag., 2006)

A multi-model algorithm for the cost-oriented design of Internet-based systems. - Danilo Ardagna; Chiara Francalanci; Marco Trubian (Inf. Sci., 2006)

Joint optimization of hardware and network systems. - Danilo Ardagna; Chiara Francalanci (J. Parallel Distributed Comput., 2006)

A QoS-based selection approach of autonomic grid services. - Jonatha Anselmi; Danilo Ardagna; Paolo Cremonesi (SOCP@HPDC, 2007)

SLA based resource allocation policies in autonomic environments. - Danilo Ardagna; Marco Trubian; Li Zhang 002 (J. Parallel Distributed Comput., 2007)

PAWS: A Framework for Executing Adaptive Web-Service Processes. - Danilo Ardagna; Marco Comuzzi; Enrico Mussi; Barbara Pernici; Pierluigi Plebani (IEEE Softw., 2007)

Adaptive Service Composition in Flexible Processes. - Danilo Ardagna; Barbara Pernici (IEEE Trans. Software Eng., 2007)

LPV model identification for power management of Web service systems. - Mara Tanelli; Danilo Ardagna; Marco Lovera (CCA, 2008)

Introduction to the First Workshop on QoS in Self-healing Web Services (QSWS 2008). - Liliana Ardissono; Danilo Ardagna; Khalil Drira (Business Process Management Workshops, 2008)

On- and off-line model identification for power management of Web service systems. - Mara Tanelli; Danilo Ardagna; Marco Lovera (CDC, 2008)

Model Identification for Energy-Aware Management of Web Service Systems. - Mara Tanelli; Danilo Ardagna; Marco Lovera; Li Zhang 002 (ICSOC, 2008)

Business Process Design: Towards Service- Based Green Information Systems. - Barbara Pernici; Danilo Ardagna; Cinzia Cappiello (E-Government, ICT Professionalism and Competences Service Science, 2008)

Rethinking the Use of Models in Software Architecture. - Danilo Ardagna; Carlo Ghezzi; Raffaela Mirandola (QoSA, 2008)

Active Energy-Aware Management of Business-Process Based Applications. - Danilo Ardagna; Cinzia Cappiello; Marco Lovera; Barbara Pernici; Mara Tanelli (ServiceWave, 2008)

Model Driven QoS Analyses of Composed Web Services. - Danilo Ardagna; Carlo Ghezzi; Raffaela Mirandola (ServiceWave, 2008)

Joint Optimization of Hardware and Network Costs for Distributed Computer Systems. - Danilo Ardagna; Chiara Francalanci; Marco Trubian (IEEE Trans. Syst. Man Cybern. Part A, 2008)

Control-oriented multirate LPV modelling of virtualized service center environments. - Mara Tanelli; Nicola L. M. Schiavoni; Danilo Ardagna; Marco Lovera (CDC, 2009)

Run-time resource management in SOA virtualized environments. - Danilo Ardagna; Raffaela Mirandola; Marco Trubian; Li Zhang 002 (QUASOSS@ESEC/FSE, 2009)

Process Optimization. - Danilo Ardagna (Encyclopedia of Database Systems, 2009)

Autonomic Management of Cloud Service Centers with Availability Guarantees. - Bernardetta Addis; Danilo Ardagna; Barbara Panicucci; Li Zhang 002 (IEEE CLOUD, 2010)

A Hybrid Approach for Multi-attribute QoS Optimisation in Component Based Software Systems. - Anne Martens; Danilo Ardagna; Heiko Koziolek; Raffaela Mirandola; Ralf H. Reussner (QoSA, 2010)

Service Provisioning on the Cloud: Distributed Algorithms for Joint Capacity Allocation and Admission Control. - Danilo Ardagna; Carlo Ghezzi; Barbara Panicucci; Marco Trubian (ServiceWave, 2010)

Black-box performance models for virtualized web service applications. - Danilo Ardagna; Mara Tanelli; Marco Lovera; Li Zhang 002 (WOSP/SIPEW, 2010)

Joint admission control and resource allocation in virtualized servers. - Jussara M. Almeida; Virgílio A. F. Almeida; Danilo Ardagna; Ítalo S. Cunha; Chiara Francalanci; Marco Trubian (J. Parallel Distributed Comput., 2010)

Per-flow optimal service selection for Web services based processes. - Danilo Ardagna; Raffaela Mirandola (J. Syst. Softw., 2010)

Flexible Distributed Capacity Allocation and Load Redirect Algorithms for Cloud Systems. - Danilo Ardagna; Sara Casolari; Barbara Panicucci (IEEE CLOUD, 2011)

A game theoretic formulation of the service provisioning problem in cloud systems. - Danilo Ardagna; Barbara Panicucci; Mauro Passacantando (WWW, 2011)

A Service-Based Framework for Flexible Business Processes. - Danilo Ardagna; Luciano Baresi; Sara Comai; Marco Comuzzi; Barbara Pernici (IEEE Softw., 2011)

Identification of LPV State Space Models for Autonomic Web Service Systems. - Mara Tanelli; Danilo Ardagna; Marco Lovera (IEEE Trans. Control. Syst. Technol., 2011)

MODAClouds: a model-driven approach for the design and execution of applications on multiple clouds. - Danilo Ardagna; Elisabetta Di Nitto; Giuliano Casale; Dana Petcu; Parastoo Mohagheghi; Sébastien Mosser 001; Peter Matthews; Anke Gericke; Cyril Ballagny; Francesco D'Andria; Cosmin-Septimiu Nechifor; Craig Sheridan (MiSE, 2012)

Evaluation of the CAP Properties on Amazon SimpleDB and Windows Azure Table Storage. - Simone Benefico; Eva Gjeci; Ricardo Gonzalez Gomarasca; Eros Lever; Santo Lombardo; Danilo Ardagna; Elisabetta Di Nitto (SYNASC, 2012)

Evaluating the Auto Scaling Performance of Flexiscale and Amazon EC2 Clouds. - Filippo Lorenzo Ferraris; Davide Franceschelli; Mario Pio Gioiosa; Donato Lucia; Danilo Ardagna; Elisabetta Di Nitto; Tabassum Sharif (SYNASC, 2012)

Issues in Handling Complex Data Structures with NoSQL Databases. - Santo Lombardo; Elisabetta Di Nitto; Danilo Ardagna (SYNASC, 2012)

Dual time-scale distributed capacity allocation and load redirect algorithms for cloud systems. - Danilo Ardagna; Sara Casolari; Michele Colajanni; Barbara Panicucci (J. Parallel Distributed Comput., 2012)

Energy-Aware Autonomic Resource Allocation in Multitier Virtualized Environments. - Danilo Ardagna; Barbara Panicucci; Marco Trubian; Li Zhang 002 (IEEE Trans. Serv. Comput., 2012)

An Approach for the Development of Portable Applications on PaaS Clouds. - Filippo Giove; Davide Longoni; Majid Shokrolahi Yancheshmeh; Danilo Ardagna; Elisabetta Di Nitto (CLOSER, 2013)

Model based control for multi-cloud applications. - Marco Miglierina; Giovanni Paolo Gibilisco; Danilo Ardagna; Elisabetta Di Nitto (MiSE, 2013)

Exploiting Stream Reasoning to Monitor Multi-Cloud Applications. - Marco Miglierina; Marco Balduini; Narges Shahmandi Hoonejani; Elisabetta Di Nitto; Danilo Ardagna (OrdRing@ISWC, 2013)

Supporting the Development and Operation of Multi-cloud Applications: The MODAClouds Approach. - Elisabetta Di Nitto; Marcos Aurélio Almeida da Silva; Danilo Ardagna; Giuliano Casale; Ciprian Dorin Craciun; Nicolas Ferry 001; Victor Muntés; Arnor Solberg (SYNASC, 2013)

SPACE4CLOUD: a tool for system performance and costevaluation of cloud systems. - Davide Franceschelli; Danilo Ardagna; Michele Ciavotta; Elisabetta Di Nitto (MultiCloud@ICPE, 2013)

Hybrid multi-attribute QoS optimization in component based software systems. - Anne Koziolek; Danilo Ardagna; Raffaela Mirandola (J. Syst. Softw., 2013)

A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms. - Bernardetta Addis; Danilo Ardagna; Barbara Panicucci; Mark S. Squillante; Li Zhang 002 (IEEE Trans. Dependable Secur. Comput., 2013)

Generalized Nash Equilibria for the Service Provisioning Problem in Cloud Systems. - Danilo Ardagna; Barbara Panicucci; Mauro Passacantando (IEEE Trans. Serv. Comput., 2013)

Optimizing Service Selection and Allocation in Situational Computing Applications. - Chiara Sandionigi; Danilo Ardagna; Gianpaolo Cugola; Carlo Ghezzi (IEEE Trans. Serv. Comput., 2013)

Towards Multi-Clouds engineering. - Dana Petcu; Elisabetta Di Nitto; Danilo Ardagna; Amor Solberg; Giuliano Casale (INFOCOM Workshops, 2014)

A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications. - Danilo Ardagna; Giovanni Paolo Gibilisco; Michele Ciavotta; Alexander Lavrentev (SSBSE, 2014)

A Receding Horizon Approach for the Runtime Management of IaaS Cloud Systems. - Danilo Ardagna; Michele Ciavotta; Riccardo Lancellotti (SYNASC, 2014)

Optimal Capacity Allocation for Executing MapReduce Jobs in Cloud Systems. - Marzieh Malekimajd; Alessandro Maria Rizzi; Danilo Ardagna; Michele Ciavotta; Mauro Passacantando; Ali Movaghar 001 (SYNASC, 2014)

Optimization Techniques within the Hadoop Eco-system: A Survey. - Giulia Rumi; Claudia Colella; Danilo Ardagna (SYNASC, 2014)

Model-Driven Design of Cloud Applications with Quality-of-Service Guarantees: The MODAClouds Approach, MICAS Tutorial. - Marcos Aurélio Almeida da Silva; Danilo Ardagna; Nicolas Ferry 001; Juan F. Pérez (SYNASC, 2014)

Energy-aware joint management of networks and Cloud infrastructures. - Bernardetta Addis; Danilo Ardagna; Antonio Capone; Giuliana Carello (Comput. Networks, 2014)

Generalized Nash equilibria for SaaS/PaaS Clouds. - Jonatha Anselmi; Danilo Ardagna; Mauro Passacantando (Eur. J. Oper. Res., 2014)

Quality-of-service in cloud computing: modeling techniques and their applications. - Danilo Ardagna; Giuliano Casale; Michele Ciavotta; Juan F. Pérez; Weikun Wang (J. Internet Serv. Appl., 2014)

The economics of the cloud: price competition and congestion. - Jonatha Anselmi; Danilo Ardagna; John C. S. Lui; Adam Wierman; Yunjian Xu; Zichao Yang (SIGMETRICS Perform. Evaluation Rev., 2014)

A Joint Benchmark-Analytic Approach For Design-Time Assessment of Multi-Cloud Applications. - Athanasia Evangelinou; Michele Ciavotta; George Kousiouris; Danilo Ardagna (Cloud Forward, 2015)

Cloud and Multi-cloud Computing: Current Challenges and Future Applications. - Danilo Ardagna (PESOS@ICSE, 2015)

DICE: Quality-Driven Development of Data-Intensive Cloud Applications. - 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; et al. (MiSE@ICSE, 2015)

SPACE4Cloud: a DevOps environment for multi-cloud applications. - Michele Guerriero; Michele Ciavotta; Giovanni Paolo Gibilisco; Danilo Ardagna (QUDOS@SIGSOFT FSE, 2015)

A Model-Driven DevOps Framework for QoS-Aware Cloud Applications. - Michele Guerriero; Michele Ciavotta; Giovanni Paolo Gibilisco; Danilo Ardagna (SYNASC, 2015)

Special Issue on Performance and Resource Management in Big Data Applications. - Danilo Ardagna; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2015)

Optimal Map Reduce Job Capacity Allocation in Cloud Systems. - Marzieh Malekimajd; Danilo Ardagna; Michele Ciavotta; Alessandro Maria Rizzi; Mauro Passacantando (SIGMETRICS Perform. Evaluation Rev., 2015)

Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms. - Giovanni Paolo Gibilisco; Min Li; Li Zhang 002; Danilo Ardagna (CLOUD, 2016)

Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets. - Danilo Ardagna; Simona Bernardi 001; Eugenio Gianniti; Soroush Karimian Aliabadi; Diego Perez-Palacin; José Ignacio Requeno (ICA3PP, 2016)

D-SPACE4Cloud: A Design Tool for Big Data Applications. - Michele Ciavotta; Eugenio Gianniti; Danilo Ardagna (ICA3PP, 2016)

A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Cloud Environment. - Ehsan Ataie; Eugenio Gianniti; Danilo Ardagna; Ali Movaghar 001 (SYNASC, 2016)

Fluid Petri Nets for the Performance Evaluation of MapReduce Applications. - Eugenio Gianniti; Alessandro Maria Rizzi; Enrico Barbierato; Marco Gribaudo; Danilo Ardagna (VALUETOOLS, 2016)

Editorial. - Danilo Ardagna; Lutz Schubert (Computing, 2016)

Palladio Optimization Suite: QoS optimization for component-based Cloud applications. - Michele Ciavotta; Danilo Ardagna; Anne Koziolek (EAI Endorsed Trans. Cloud Syst., 2016)

Service Provisioning Problem in Cloud and Multi-Cloud Systems. - Mauro Passacantando; Danilo Ardagna; Anna Savi (INFORMS J. Comput., 2016)

A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce. - Eugenio Gianniti; Danilo Ardagna; Michele Ciavotta; Mauro Passacantando (CCGrid, 2017)

Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems. - Safia Kalwar; Eugenio Gianniti; Joas Yannick Kinouani; Youssef Ridene; Danilo Ardagna (InfQ@VALUETOOLS, 2017)

Capacity Allocation for Big Data Applications in the Cloud. - Michele Ciavotta; Eugenio Gianniti; Danilo Ardagna (ICPE Companion, 2017)

Special issue on sustainable computing systems and applications. - Danilo Ardagna; Cinzia Cappiello (Computing, 2017)

A mixed integer linear programming optimization approach for multi-cloud capacity allocation. - Michele Ciavotta; Danilo Ardagna; Giovanni Paolo Gibilisco (J. Syst. Softw., 2017)

Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications. - Eugenio Gianniti; Alessandro Maria Rizzi; Enrico Barbierato; Marco Gribaudo; Danilo Ardagna (SIGMETRICS Perform. Evaluation Rev., 2017)

The Economics of the Cloud. - Jonatha Anselmi; Danilo Ardagna; John C. S. Lui; Adam Wierman; Yunjian Xu; Zichao Yang (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017)

Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems. - Danilo Ardagna; Michele Ciavotta; Mauro Passacantando (IEEE Trans. Serv. Comput., 2017)

GIS and Data: Three applications to enhance Mobility. - 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; et al. (GEOINFO, 2018)

Performance Prediction of Cloud-Based Big Data Applications. - Danilo Ardagna; Enrico Barbierato; Athanasia Evangelinou; Eugenio Gianniti; Marco Gribaudo; Túlio B. M. Pinto; Anna Guimarães; Ana Paula Couto da Silva; Jussara M. Almeida (ICPE, 2018)

Special Issue on Algorithms for the Resource Management of Large Scale Infrastructures. - Danilo Ardagna; Claudia Canali; Riccardo Lancellotti (Algorithms, 2018)

Experiences and challenges in building a data intensive system for data migration. - Marco Scavuzzo; Elisabetta Di Nitto; Danilo Ardagna (Empir. Softw. Eng., 2018)

Context-aware data quality assessment for big data. - Danilo Ardagna; Cinzia Cappiello; Walter Samá; Monica Vitali (Future Gener. Comput. Syst., 2018)

Power-aware performance analysis of self-adaptive resource management in IaaS clouds. - Ehsan Ataie; Reza Entezari-Maleki; Sayed Ehsan Etesami; Bernhard Egger 002; Danilo Ardagna; Ali Movaghar 001 (Future Gener. Comput. Syst., 2018)

Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach. - Athanasia Evangelinou; Michele Ciavotta; Danilo Ardagna; Aliki Kopaneli; George Kousiouris; Theodora A. Varvarigou (Future Gener. Comput. Syst., 2018)

A framework for joint resource allocation of MapReduce and web service applications in a shared cloud cluster. - Lorela Cano; Giuliana Carello; Danilo Ardagna (J. Parallel Distributed Comput., 2018)

An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems. - Marzieh Malekimajd; Danilo Ardagna; Michele Ciavotta; Eugenio Gianniti; Mauro Passacantando; Alessandro Maria Rizzi (J. Supercomput., 2018)

Process Optimization. - Danilo Ardagna (Encyclopedia of Database Systems (2nd ed.), 2018)

Machine Learning for Performance Prediction of Spark Cloud Applications. - Alexandre Maros; Fabricio Murai; Ana Paula Couto da Silva; Jussara M. Almeida; Marco Lattuada 001; Eugenio Gianniti; Marjan Hosseini; Danilo Ardagna (CLOUD, 2019)

Performance Prediction of GPU-based Deep Learning Applications. - Eugenio Gianniti; Li Zhang 002; Danilo Ardagna (CLOSER, 2019)

Gray-Box Models for Performance Assessment of Spark Applications. - Marco Lattuada 001; Eugenio Gianniti; Marjan Hosseini; Danilo Ardagna; Alexandre Maros; Fabricio Murai; Ana Paula Couto da Silva; Jussara M. Almeida (CLOSER, 2019)

Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training. - Arezoo Jahani; Marco Lattuada 001; Michele Ciavotta; Danilo Ardagna; Edoardo Amaldi; Li Zhang 002 (ICCCS, 2019)

BIGSEA: A Big Data analytics platform for public transportation information. - 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; et al. (Future Gener. Comput. Syst., 2019)

Analytical composite performance models for Big Data applications. - Soroush Karimian Aliabadi; Danilo Ardagna; Reza Entezari-Maleki; Eugenio Gianniti; Ali Movaghar 001 (J. Netw. Comput. Appl., 2019)

Hierarchical Stochastic Models for Performance, Availability, and Power Consumption Analysis of IaaS Clouds. - Ehsan Ataie; Reza Entezari-Maleki; Leila Rashidi; Kishor S. Trivedi; Danilo Ardagna; Ali Movaghar 001 (IEEE Trans. Cloud Comput., 2019)

Performance Prediction for Data-driven Workflows on Apache Spark. - Andrea Gulino; Arif Canakoglu; Stefano Ceri; Danilo Ardagna (MASCOTS, 2020)

Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. - Federica Filippini; Marco Lattuada 001; Arezoo Jahani; Michele Ciavotta; Danilo Ardagna; Edoardo Amaldi (SYNASC, 2020)

Advancing Design and Runtime Management of AI Applications with AI-SPRINT (Position Paper). - Hamta Sedghani; Danilo Ardagna; Matteo Matteucci; Giulio Angelo Fontana; Giacomo Verticale; Fabrizio Amarilli; Rosa M. Badia; Daniele Lezzi; Ignacio Blanquer; André Martin; Konrad Wawruch (COMPSAC, 2021)

A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua. - Hamta Sedghani; Federica Filippini; Danilo Ardagna (EDGE, 2021)

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. - Federica Filippini; Danilo Ardagna; Marco Lattuada 001; Edoardo Amaldi; Maciek Riedl; Katarzyna Materka; Pawel Skrzypek; Michele Ciavotta; Fabrizio Magugliani; Marco Cicala (FiCloud, 2021)

Pareto-optimal progressive neural architecture search. - Eugenio Lomurno; Stefano Samele; Matteo Matteucci; Danilo Ardagna (GECCO Companion, 2021)

An incentive mechanism based on a Stackelberg game for mobile crowdsensing systems with budget constraint. - Hamta Sedghani; Danilo Ardagna; Mauro Passacantando; Mina Zolfy Lighvan; Hadi S. Aghdasi (Ad Hoc Networks, 2021)

A Hierarchical Receding Horizon Algorithm for QoS-Driven Control of Multi-IaaS Applications. - Danilo Ardagna; Michele Ciavotta; Riccardo Lancellotti; Michele Guerriero (IEEE Trans. Cloud Comput., 2021)

Optimizing Quality-Aware Big Data Applications in the Cloud. - Eugenio Gianniti; Michele Ciavotta; Danilo Ardagna (IEEE Trans. Cloud Comput., 2021)

Predicting the performance of big data applications on the cloud. - Danilo Ardagna; Enrico Barbierato; Eugenio Gianniti; Marco Gribaudo; Túlio B. M. Pinto; Ana Paula Couto da Silva; Jussara M. Almeida (J. Supercomput., 2021)

POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. - Andrea Falanti; Eugenio Lomurno; Stefano Samele; Danilo Ardagna; Matteo Matteucci (IJCNN, 2022)

MALIBOO: When Machine Learning meets Bayesian Optimization. - Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (SmartCloud, 2022)

A Stackelberg Game Approach for Managing AI Sensing Tasks in Mobile Crowdsensing. - Hamta Sedghani; Mina Zolfy Lighvan; Hadi S. Aghdasi; Mauro Passacantando; Giacomo Verticale; Danilo Ardagna (IEEE Access, 2022)

A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications. - Ehsan Ataie; Athanasia Evangelinou; Eugenio Gianniti; Danilo Ardagna (Comput. J., 2022)

Performance prediction of deep learning applications training in GPU as a service systems. - Marco Lattuada 001; Eugenio Gianniti; Danilo Ardagna; Li Zhang 002 (Clust. Comput., 2022)

Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach. - Michele Ciavotta; Giovanni Paolo Gibilisco; Danilo Ardagna; Elisabetta Di Nitto; Marco Lattuada 001; Marcos Aurélio Almeida da Silva (IEEE Trans. Cloud Comput., 2022)

Optimal Resource Allocation of Cloud-Based Spark Applications. - Marco Lattuada 001; Enrico Barbierato; Eugenio Gianniti; Danilo Ardagna (IEEE Trans. Cloud Comput., 2022)

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. - 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; et al. (CF, 2023)

aMLLibrary: An AutoML Approach For Performance Prediction. - Bruno Guindani; Marco Lattuada 001; Danilo Ardagna (ECMS, 2023)

Performance Models for Distributed Deep Learning Training Jobs on Ray. - Federica Filippini; Boris Lublinsky; Maximilien de Bayser; Danilo Ardagna (SEAA, 2023)

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum. - Federica Filippini; Riccardo Cavadini; Danilo Ardagna; Riccardo Lancellotti; Gabriele Russo Russo; Valeria Cardellini; Francesco Lo Presti (UCC, 2023)

SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua. - Federica Filippini; Hamta Sedghani; Danilo Ardagna (UCC, 2023)

Runtime Management of Artificial Intelligence Applications for Smart Eyewears. - Abednego Wamuhindo Kambale; Hamta Sedghani; Federica Filippini; Giacomo Verticale; Danilo Ardagna (UCC, 2023)

ICPE'23 Fast Continuum Workshop Chairs' Welcome. - Danilo Ardagna; Elisabetta Di Nitto; Lorenzo Blasi; Francesc Lordan (ICPE (Companion), 2023)

OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications. - Enrico Galimberti; Bruno Guindani; Federica Filippini; Hamta Sedghani; Danilo Ardagna; Germán Moltó; Miguel Caballer (ICPE (Companion), 2023)

Fixed-Point Iteration Approach to Spark Scalable Performance Modeling and Evaluation. - Soroush Karimian Aliabadi; Mohammad-Mohsen Aseman-Manzar; Reza Entezari-Maleki; Danilo Ardagna; Bernhard Egger 002; Ali Movaghar 001 (IEEE Trans. Cloud Comput., 2023)

A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems. - Federica Filippini; Marco Lattuada 001; Michele Ciavotta; Arezoo Jahani; Danilo Ardagna; Edoardo Amaldi (IEEE Trans. Serv. Comput., 2023)

Erratum to: A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications. - Ehsan Ataie; Athanasia Evangelinou; Eugenio Gianniti; Danilo Ardagna (Comput. J., 2023)

POPNASv3: A pareto-optimal neural architecture search solution for image and time series classification. - Andrea Falanti; Eugenio Lomurno; Danilo Ardagna; Matteo Matteucci (Appl. Soft Comput., 2023)

Machine Learning to Predict Risk Management Applications Performance. - Laura De Giorgi; Danilo Ardagna (ACSOS-C, 2024)

AI-SPRINT: Design and Runtime Framework for Accelerating the Development of AI Applications in the Computing Continuum. - Francesco Lattari; Matteo Matteucci; Danilo Ardagna (AINA (5), 2024)

Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees. - Roberto Sala; Federica Filippini; Danilo Ardagna; Daniele Lezzi; Francesc Lordan; Patrick Thiem (AINA (5), 2024)

LIGATE - LIgand Generator and portable drug discovery platform AT Exascale. - 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; et al. (CF (Companion), 2024)

Harnessing the Computing Continuum Across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0. - Fatemeh Baghdadi; Davide Cirillo; Daniele Lezzi; Francesc Lordan; Fernando Vázquez; Eugenio Lomurno; Alberto Archetti; Danilo Ardagna; Matteo Matteucci (CLOSER, 2024)

An Efficient Neural Architecture Search Model for Medical Image Classification. - Lunchen Xie; Eugenio Lomurno; Matteo Gambella; Danilo Ardagna; Manuel Roveri; Matteo Matteucci; Qingjiang Shi (ESANN, 2024)

d-MALIBOO: a Bayesian Optimization framework for dealing with Discrete Variables. - Roberto Sala; Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (MASCOTS, 2024)

A Lightweight Neural Architecture Search Model for Medical Image Classification. - Lunchen Xie; Eugenio Lomurno; Matteo Gambella; Danilo Ardagna; Manuel Roveri; Matteo Matteucci; Qingjiang Shi (CoRR, 2024)

A Stochastic Approach for Scheduling AI Training Jobs in GPU-Based Systems. - Federica Filippini; Jonatha Anselmi; Danilo Ardagna; Bruno Gaujal (IEEE Trans. Cloud Comput., 2024)

Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems. - Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi; Roberto Rocco; Gianluca Palermo (IEEE Trans. Cloud Comput., 2024)

SPACE4AI-D: A Design-Time Tool for AI Applications Resource Selection in Computing Continua. - Hamta Sedghani; Federica Filippini; Danilo Ardagna (IEEE Trans. Serv. Comput., 2024)

Deep Surrogate Models of Serverless Batch Processing Services. - Yicheng Gao; Roberto Sala; Danilo Ardagna; Giuliano Casale (ESOCC, 2025)

A Robust Game Approach for On Spot Price Cloud Markets in Microservice-Based Applications. - Hamta Sedghani; Mauro Passacantando; Riccardo Lancellotti; Mina Zolfy Lighvan; Danilo Ardagna (IEEE Access, 2025)

Efficient parameter tuning for a structure-based virtual screening HPC application. - Bruno Guindani; Davide Gadioli; Roberto Rocco; Danilo Ardagna; Gianluca Palermo (J. Parallel Distributed Comput., 2025)

OSCAR-P and aMLLibrary: Profiling and predicting the performance of FaaS-based applications in computing continua. - Roberto Sala; Bruno Guindani; Enrico Galimberti; Federica Filippini; Hamta Sedghani; Danilo Ardagna; Sebastián Risco; Germán Moltó; Miguel Caballer (J. Syst. Softw., 2025)

Discrete Bayesian Optimization via Machine Learning. - Roberto Sala; Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (Perform. Evaluation, 2025)

AI Applications Resource Allocation in Computing Continuum: A Stackelberg Game Approach. - Roberto Sala; Hamta Sedghani; Mauro Passacantando; Giacomo Verticale; Danilo Ardagna (IEEE Trans. Cloud Comput., 2025)

ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm. - Lunchen Xie; Eugenio Lomurno; Matteo Gambella; Danilo Ardagna; Manual Roveri; Matteo Matteucci; Qingjiang Shi (CoRR, 2025)