activity
20192023
most citedFeature-Model-Guided Online Learning for Self-Adaptive Systems

34 citations · 47 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2023

A Multi-faceted Analysis of the Performance Variability of Virtual Machines

Luciano Baresi, Tommaso Dolci, Giovanni Quattrocchi +1

Cloud computing and virtualization solutions allow one to rent the virtual machines (VMs) needed to run applications on a pay-per-use basis, but rented VMs do not offer any guarant…

cs.SE2023

A Qualitative and Quantitative Analysis of Container Engines

Luciano Baresi, Giovanni Quattrocchi, Nicholas Rasi

Containerization is a virtualization technique that allows one to create and run executables consistently on any infrastructure. Compared to virtual machines, containers are lighte…

cs.SE2022★ 7 cited

Microservice Architecture Practices and Experience: a Focused Look on Docker Configuration Files

Luciano Baresi, Giovanni Quattrocchi, Damian Andrew Tamburri

Cloud applications are more and more microservice-oriented, but a concrete charting of the microservices architecture landscape -- namely, the space of technical options available…

cs.SE2022

Training and Serving Machine Learning Models at Scale

Luciano Baresi, Giovanni Quattrocchi

In recent years, Web services are becoming more and more intelligent (e.g., in understanding user preferences) thanks to the integration of components that rely on Machine Learning…

cs.SE2022★ 1 cited

A Declarative Modelling Framework for the Deployment and Management of Blockchain Applications

Luciano Baresi, Giovanni Quattrocchi, Damian Andrew Tamburri +1

The deployment and management of Blockchain applications require non-trivial efforts given the unique characteristics of their infrastructure (i.e., immutability) and the complexit…

cs.SE2022

NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the Edge

Luciano Baresi, Davide Yi Xian Hu, Giovanni Quattrocchi +1

Nowadays a wide range of applications is constrained by low-latency requirements that cloud infrastructures cannot meet. Multi-access Edge Computing (MEC) has been proposed as the…

cs.DC2020★ 5 cited

Cloud Deployment Tradeoffs for the Analysis of Spatially-Distributed Systems of Internet-of-Things

Christos Tsigkanos, Martin Garriga, Luciano Baresi +1

Internet-enabled things and devices operating in the physical world are increasingly integrated in modern distributed systems, supporting functionalities that require assurances th…

cs.SE2019★ 34 cited

Feature-Model-Guided Online Learning for Self-Adaptive Systems

Andreas Metzger, Clément Quinton, Zoltán Ádám Mann +2

A self-adaptive system can modify its own structure and behavior at runtime based on its perception of the environment, of itself and of its requirements. To develop a self-adaptiv…