Use Cases and Trials

The following use cases in trials will help to validate COGNIFOG and evaluate its performance and key benefits.

1) Trial 1 (Thales, Paris-Saclay) - Collaborative Missions in urban areas:

In urban environments, natural disasters, social unrest, and other events can lead to disruptions in essential services such as power, fuel, water, and communication. Civil organizations may need to deploy logistics and personnel to respond to these situations. The use of sensor networks, video surveillance, and other information sources can help these organizations monitor and respond to these events more effectively. These systems can improve decision-making through the use of OODA (Observe Orient Decide Act) loops and provide access to important data such as maps and infrastructure information. The digitalization of infrastructure such as air traffic control systems and transportation networks can improve the safety and security of these systems.

Trial 1 will validate the integration of COGNIFOG building blocks to support coordinated crisis management, with a focus on demonstrating the dependability and time-predictability of cloud-native services. The centennial flood in Paris will be used as the usage scenario ( The main goal from a technological perspective is to demonstrate the self-adaptability of COGNIFOG for cloud-native technologies, including Kubernetes, Kafka, and software-defined networking, to support higher-level functional chains and OODA15 loops for dependable orchestration and meta-orchestration.

2) Trial 2 (TMA, Piraeus Greece) - E-health services in the Edge-Cloud Continuum:

The goal of this trial is to enhance Medical IoT devices that will connect to Medical “Noah Ark of Health – NoAH” Telemedicine Station by utilising the Cognitive-Fog in order to provide self-management evaluation notifications to users. The measurements will be forwarded to cloud infrastructure for computational purposes and evaluation for the users health status.

TMA has developed a custom kit with medical monitoring devices for use in its e-health services. The kit includes devices for measuring blood pressure, oxygen levels, blood markers, temperature, and weight. The challenge is to simplify the integration of new medical devices and improve installation time, as well as to provide a first-level diagnosis without human assessment. The kit must also be able to function in harsh network conditions with unstable or slow connections.

Trial 2 will demonstrate the full functionality of the COGNIFOG building blocks in an integrated manner. It will showcase the use of edge computing in e-health services, with further cloud processing and storage using an AI framework. The use case will also involve the use of medical IoT devices for accurate patient assessment in mobile or remote settings.

3) Trial 3 (LMS, Patras) - Automated Edge-Cloud Continuum for smart manufacturing:

Today’s European industry faces the challenge of improving its competitiveness in the global market. One way to do this, is by increasing flexibility and efficiency in production. However, the full potential of industrial robots is not being realized in many EU production plants due to poor acceptance.

Trial 3 aims to improve shopfloor efficiency by introducing flexible mobile dual-arm robots controlled by a flexible IT infrastructure. This will optimize the use of computing resources in terms of throughput, costs, and energy savings.