Applying Attachmet Circuit and Traffic Engineering YANG Data Model to Edge AI Use Case

This document explores how existing IETF YANG data models, specifically the Attachment Circuit (AC)-as-a-Service (ACaaS) and Traffic Engineering (TE) topology data models, can be applied to support a use case involving dynamic AI model placement at Edge Cloud sites. The use case involves selecting optimal Edge locations for real-time AI inference based on end-to-end network performance between street-level cameras and Edge Cloud compute nodes. By mapping the use case across multiple network segments and applying relevant YANG data models to retrieve and request specific services objectives such as bandwidth, latency, and reliability, this document serves as a practical exercise to evaluate model applicability and identify gaps, if any.