Final project report on the status of WP3 - Part 2

This deliverable will be the technical report that communicates the final outcome of WP3 (Part 2). This includes the following sections and results: (1) AI-based workload placement in an edge environment (LUH)This deliverable section is a trained AI software (and documentation) that accepts workloads and chooses the node(s) that should accept and execute the workload. Its decision will be based on the available data about the resources, priorities, and other constraints.(2) Improved scalability, predictability and stability for edge nodes SLAs (SSSA)This deliverable section is a set of ML model and a software service that provides forecasts of and actions based on the availability of edge nodes according to models of traffic, connectivity, and workload behaviour.(3) DevOps for edge computing supporting AI (ECC)This deliverable section provides an interface application service that allows access to the work and data flows, operations, control logics and knowledge graphs.(4) Monitoring and SLA broker incorporation for transparency and enforcement (DELL)This deliverable section is a software system that is part of monitoring infrastructure through an agent that provides resource metrics and is able to enforce corrective actions to provide SLA KPIs.