Building a Cognitive Cloud-Edge Continuum for Next-Generation Data Processing Applications
Next-generation data processing applications are going to require new AI-enabled cloud-edge platforms that will automatically adapt to the growing complexity and data deluge by integrating seamlessly and securely diverse computing and data environments, spanning from HPC to cloud to edge to IoT. These solutions are expected to respond and adapt intelligently to changes in application behavior and data variability offering automatic deployment, mobility, and secure adaptability of services across the continuum to diverse users and contexts. Data management should take into account the openness and trustworthiness of the underlying resource management layers. The innovative application of AI-techniques is expected to allow dynamic load balancing and to optimise energy efficiency, while maintaining balanced data traffic and high, distributed, reliable throughput from cloud to edge according to the application and user needs and the underlying infrastructures.
In this session speakers from projects of the Cloud-Edge-IoT community will provide an overview of their Cognitive Computing solutions including the next-generation meta-operating systems for the smart Internet of Things as well as AI-enabled computing continuum cloud-edge platforms. The session will also explore synergies between ongoing Research and Innovation Projects of the Cloud-Edge-IoT community
Agenda
- Sebastien Dupont, CETIC
“Securing development and operation of cyber-physical systems by design with DevSecOps” (presentation here) - Davide Dalle Carbonare, Engineering Ingegneria Informatica
“TALON: EU project developing a fully-automated AI architecture that will bring intelligence to the edge in a flexible, adaptable, explainable and energy efficient manner” (presentation here)
Session presentation here
TRACT presentation here
DECO presentation here
GNIT presentation here
