The AI-SPRINT components include design tools, runtime framework and deployable infrastructures used to build the project's architectural infrastructure
The Monitoring Subsystem gathers and processes runtime statistics and metrics from the entire AI-SPRINT system and sends alerts when a quality metric exceeds a specified threshold.
Performance Models support the AI-SPRINT design and runtime components in selecting an appropriate configuration
SCAR is a framework to transparently execute containers out of Docker images in AWS Lambda.
The IM is a service for the complete orchestration of virtual infrastructures and applications deployed on it, including resource provisioning, deployment, configuration, re-configuration and termination.
COMPSs/PyCOMPSs and disLib are designed to ease the development of ML/AI applications targeting the Cloud-Edge-IoT Continuum.