Application of Artificial Intelligence Techniques for the Creation of Novel Services Based on Connected Vehicles

Book: Intelligent System Solutions for Auto Mobility and Beyond
New technologies have been progressively integrated into vehicles during the last thirty years.

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

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

The Edge vs the Swarm

Comparison of Edge and Swarm Computing

Collaborative SLA and reputation-based trust management in cloud federations

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.

End-to-end security assessment framework for connected vehicles

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

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.

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.

Edge Computing Whitepaper

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

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.

Artificial Intelligence as the second phase for IoT

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