Syncronicity project IEEE Internet of Things Journal

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

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.

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.

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

This whitepaper provides an overview of edge computing technology, use cases and existing market developments.

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

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.

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

Comparison of Edge and Swarm Computing

Industry and academia shift from the single cloud provider paradigm to cloud federations and alternative models, which orchestrate heterogeneous resources, such as Mobile Edge Computing and Fog Computing.

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