An Approach to Support Automated Deployment of Applications on Heterogeneous Cloud-HPC Infrastructures

22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.

Smart City IoT Services Creation through Large Scale Collaboration

IEEE Internet of Things Journal
Syncronicity project IEEE Internet of Things Journal

A Semantic-Enabled Platform for Realizing an Interoperable Web of Things

MDPI Sensors
Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available.

Atomic Services: sustainable ecosystem of smart city services through pan-European collaboration

Conference Paper for the Global IoT Summit 2019 (GIoTS) in Aarhus, Denmark.

End-to-end security assessment framework for connected vehicles

Conference Paper for the International Symposium on Wireless Personal Multimedia Communications at Lisboa

Smart ICT Framework for the intelligent management of different modern energy systems

Conference: 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), At Genoa, Italy 10.1109/EEEIC.2019.8783709, 2019/06/13

Artificial Intelligence as the second phase for IoT

ATOS Blog: https://atos.net/en/blog/artificial-intelligence-second-phase-iot-part-1

The MegaM@ Rt2 ECSEL project: MegaModelling at Runtime–Scalable model-based framework for continuous development and runtime validation of complex systems

This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the challenges facing MDE.

A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method

Successful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance.

Grammar based genetic programming for software configuration problem

Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.

Grammar based genetic programming for software configuration problem

Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.

ARTIST: Model-Based Stairway to the Cloud

Over the past decade, cloud services emerged as one of the most promising technologies in IT.