In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation.

3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.

The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.

While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models.

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

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.

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.

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.

32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). DOI: 10.1109/WAINA.2018.00120

In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.