Architecting a Framework for Edge AI Functional and Non-functional Requirements

Architecting a Framework for Edge AI Functional and Non-functional Requirements

Communications and Networking

Architecting a Framework for Edge AI Functional and Non-functional Requirements

Editors:
 Ovidiu Vermesan, SINTEF, Norway
Alain Pagani, DFKI - German Research Center for Artificial Intelligence, Germany

ISBN: 9788743809579 (Hardback) e-ISBN: 9788743809562

Available: March 2026

doi: https://doi.org/10.13052/rp-9788743809562

Architecting a Framework for Edge AI Functional and Non-functional Requirements explores performance, dependability, and trust in edge AI. Covering hardware, software, ethics, law, and KPIs, it offers a holistic framework for building reliable, transparent, and socially aligned edge intelligence systems.
Functional requirements, non-functional requirements, edge AI technologies, edge AI technology stack, micro-edge, deep-edge, and meta-edge, artificial intelligence (AI), edge AI accelerators, deep learning (DL), machine learning (ML), federated learning (FL), edge AI trustworthiness, AI explainability (XAI), AI interpretability (IAI).

Chapter 1: Introduction and Background


37

Chapter 2: Taxonomy and Terminology


92

Chapter 3: Edge AI System Engineering


64

Chapter 4: Edge AI Non-Functional Requirements


195

Chapter 5: Edge AI Functional Requirements


58

Chapter 6: Legal Requirements for Design and Development of Edge AI Systems


87

Chapter 7: Standards


189

Chapter 8: Conclusion


34