Architecting a Framework for Edge AI Functional and Non-functional Requirements
This book presents a comprehensive exploration of the functional and non-functional requirements that define edge AI systems, including technical, ethical, legal, and regulatory dimensions. It offers a holistic perspective that spans hardware, software, the AI technology stack, and the data pipeline...
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| Format: | Online |
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| Sprog: | engelsk |
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Taylor & Francis
2026
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| Online adgang: | ONIX_20260621T103021_9788743809593_2 |
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| collection | Directory of Open Access Books |
| description | This book presents a comprehensive exploration of the functional and non-functional requirements that define edge AI systems, including technical, ethical, legal, and regulatory dimensions. It offers a holistic perspective that spans hardware, software, the AI technology stack, and the data pipelines supporting applications across the micro-, deep-, and meta-edge continuum. Edge AI systems are evaluated through their key properties—functionality, performance, cost, dependability, and trustworthiness. The book closely interlinks these requirements with the concepts of system dependability and trust. Dependability is presented as the backbone of real-time edge AI performance, where services must be delivered reliably within strict timeframes. Trustworthiness is defined as the system’s ability to meet both functional and non-functional requirements in a verifiable manner—ensuring transparency, correctness, and alignment with human oversight. The chapters emphasize how building trust in edge AI is not merely a technical task, but a collaborative process across technical, ethical, and legal/regulatory domains. Establishing trustworthiness requires the careful definition of requirements, measurement of key performance indicators (KPIs), continuous monitoring, transparent processes, and alignment with broader societal values. Written for researchers, engineers, and students eager to understand the next frontier of edge intelligence, the book invites readers to engage with cutting-edge discussions on performance, accountability, and responsibility in AI at the edge. It is both an academic resource and a practical guide for those seeking to design, validate, and deploy edge AI systems that are not only high-performing but also dependable, trustworthy, and socially aligned. |
| format | Online |
| id | doab-20.500.12854ir-177821 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1778212026-06-22T05:17:34Z Architecting a Framework for Edge AI Functional and Non-functional Requirements Vermesan, Ovidiu Pagani, Alain Edge AI engineering Edge computing Computer engineering Embedded systems Edge AI fram thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence This book presents a comprehensive exploration of the functional and non-functional requirements that define edge AI systems, including technical, ethical, legal, and regulatory dimensions. It offers a holistic perspective that spans hardware, software, the AI technology stack, and the data pipelines supporting applications across the micro-, deep-, and meta-edge continuum. Edge AI systems are evaluated through their key properties—functionality, performance, cost, dependability, and trustworthiness. The book closely interlinks these requirements with the concepts of system dependability and trust. Dependability is presented as the backbone of real-time edge AI performance, where services must be delivered reliably within strict timeframes. Trustworthiness is defined as the system’s ability to meet both functional and non-functional requirements in a verifiable manner—ensuring transparency, correctness, and alignment with human oversight. The chapters emphasize how building trust in edge AI is not merely a technical task, but a collaborative process across technical, ethical, and legal/regulatory domains. Establishing trustworthiness requires the careful definition of requirements, measurement of key performance indicators (KPIs), continuous monitoring, transparent processes, and alignment with broader societal values. Written for researchers, engineers, and students eager to understand the next frontier of edge intelligence, the book invites readers to engage with cutting-edge discussions on performance, accountability, and responsibility in AI at the edge. It is both an academic resource and a practical guide for those seeking to design, validate, and deploy edge AI systems that are not only high-performing but also dependable, trustworthy, and socially aligned. 2026-06-22T05:17:32Z 2026-06-22T05:17:32Z 2026-06-21T15:54:10Z 2026 book book ONIX_20260621T103021_9788743809593_2 https://library.oapen.org/handle/20.500.12657/114313 9788743809593 9788743809586 9781040880364 9788743809616 https://directory.doabooks.org/handle/20.500.12854/177821 eng River Publishers Series in Communications and Networking open access image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/114313/1/9788743809593.pdf Taylor & Francis River Publishers 10.1201/9788743809586 10.1201/9788743809586 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 9788743809593 9788743809586 9781040880364 9788743809616 River Publishers 186 open access |
| spellingShingle | Edge AI engineering Edge computing Computer engineering Embedded systems Edge AI fram thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Architecting a Framework for Edge AI Functional and Non-functional Requirements |
| title | Architecting a Framework for Edge AI Functional and Non-functional Requirements |
| title_full | Architecting a Framework for Edge AI Functional and Non-functional Requirements |
| title_fullStr | Architecting a Framework for Edge AI Functional and Non-functional Requirements |
| title_full_unstemmed | Architecting a Framework for Edge AI Functional and Non-functional Requirements |
| title_short | Architecting a Framework for Edge AI Functional and Non-functional Requirements |
| title_sort | architecting a framework for edge ai functional and non functional requirements |
| topic | Edge AI engineering Edge computing Computer engineering Embedded systems Edge AI fram thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| topic_facet | Edge AI engineering Edge computing Computer engineering Embedded systems Edge AI fram thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| url | ONIX_20260621T103021_9788743809593_2 |