An Overview on ARIES: Reliable European Identity Ecosystem
Chapter in book “Challenges in Cybersecurity and Privacy - the European Research Landscape” by River Publishers.
ISBN: 9788770220880
doi: https://doi.org/10.13052/rp-9788770220873
Multi-cloud provisioning of business processes
The Cloud offers enhanced flexibility in the management of resources while it promises the reduction of its cost as well as its infinite scalability. In this way, due to these advantages, there is a recent move towards migrating business processes (BPs) in the Cloud.
ARIES project
Chapter 11 in book “Challenges in Cybersecurity and Privacy – the European Research Landscape”, ISBN: 978-87-7022-088-0
Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning
With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and dynamic.
Next Generation Platform-as-a-Service (NGPaaS) From DevOps to Dev-for-Operations
NGPaaS White Paper published on Atos Global Blog
A multipurpose ICT platform for supporting energy transition: first results in flexibility profiling
Conference: 2019 1st International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED)
2019/05/28
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
End-to-end security assessment framework for connected vehicles
Conference Paper for the International Symposium on Wireless Personal Multimedia Communications at Lisboa
Atomic Services: sustainable ecosystem of smart city services through pan-European collaboration
Conference Paper for the Global IoT Summit 2019 (GIoTS) in Aarhus, Denmark.
Data Science Workflows for the CANDELA Project
Publication in Conference proceedings/Workshop “Big Data from Space” (BiDS’19), Munich, Germany, 19-21 February 2019. ISBN 978-92-76-00034-1 ISSN 1831-9424 doi: 10.2760/848593
Artificial Intelligence Data Science Methodology for Earth Observation
Chapter in Book "Advanced Analytics and Artificial Intelligence Applications", 978-1-78984-639-3, by IntechOpen
Earth Observation Data Mining: A use case for Forest Monitoring
Paper in the IEEE Geoscience and Remote Sensing Society (IGARSS) 2019 Conference
Fog-to-Cloud Computing for Farming: Low-Cost Technologies, Data Exchange, and Animal Welfare
Coordinated fog (edge) and cloud computing systems are expected to expedite the evolution of smart farming toward openness and data sharing while making agriculture economically sustainable for smaller farms.
What is edge computing?
Edge computing locates computing and storage resources at the edge of the network, with the intention of getting data and analytics to the right place, at the right time. It decentralises data processing and avoids non-essential data transmission.