Edge/Fog Computing Paradigm: The Concept Platforms and Applications
Intro -- Edge/Fog Computing Paradigm: The Concept, Platforms and Applications -- Copyright -- Contents -- Contributors -- Preface -- Chapter One: Exploring the edge AI space: Industry use cases -- 1. The proliferation of IoT devices and sensors -- 2. Activating on-device intelligence -- 3. The artif...
Gespeichert in:
| 1. Verfasser: | |
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| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Diego
Elsevier Science & Technology
2022
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| Schlagworte: | |
| Online-Zugang: | UBY01 |
| Zusammenfassung: | Intro -- Edge/Fog Computing Paradigm: The Concept, Platforms and Applications -- Copyright -- Contents -- Contributors -- Preface -- Chapter One: Exploring the edge AI space: Industry use cases -- 1. The proliferation of IoT devices and sensors -- 2. Activating on-device intelligence -- 3. The artificial intelligence (AI) processing at the edge -- 4. Machine learning (ML) at the edge -- 5. Deep learning at the edge -- 6. Digging into the paradigm of edge AI -- 6.1. The blend of edge AI and 5G rekindles state-of-the-art applications -- 6.2. Person re-identification (Re-ID) (https://towardsdatascience.com/why-we-need-person-re-identification-3a45d170098b) -- 7. Edge AI for next-generation retail experiences -- 8. Edge AI for smarter cities -- 9. Edge AI for telecommunication -- 10. Conclusion -- Further reading -- Chapter Two: Edge computing: Types and attributes -- 1. Introduction -- 2. Internet of Things (IoT) edge -- 2.1. Device type and mobility -- 2.2. Service capabilities -- 2.3. Security and privacy -- 2.4. Latency requirements -- 3. On-premises edge -- 3.1. Disaggregation -- 3.2. Network requirements -- 3.3. Scalability -- 3.4. Security -- 3.5. Life cycle management -- 4. Wireless Access Edge -- 4.1. Scalability -- 4.2. Distributed RAN functions -- 4.3. Service models -- 4.4. Intelligent RAN -- 5. Network edge -- 5.1. Next Generation Central Office -- 5.2. Wireline fixed access edge -- 5.3. Physical locations -- 6. Challenges in edge computing -- 7. Multi-Access Edge Computing -- References -- Chapter Three: Industry initiatives across edge computing -- 1. Linux Foundation Edge -- 1.1. Akraino -- 1.2. EdgeXFoundary -- 1.3. EVE -- 1.4. Fledge -- 1.5. Home Edge -- 1.6. Open Horizon -- 1.7. State of the Edge -- 1.8. Baetyl -- 1.9. eKupier -- 1.10. Secure Device Onboard -- 2. Linux Foundation for Networking. |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (560 pages) |
| ISBN: | 9780128245071 |
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| 520 | 3 | |a Intro -- Edge/Fog Computing Paradigm: The Concept, Platforms and Applications -- Copyright -- Contents -- Contributors -- Preface -- Chapter One: Exploring the edge AI space: Industry use cases -- 1. The proliferation of IoT devices and sensors -- 2. Activating on-device intelligence -- 3. The artificial intelligence (AI) processing at the edge -- 4. Machine learning (ML) at the edge -- 5. Deep learning at the edge -- 6. Digging into the paradigm of edge AI -- 6.1. The blend of edge AI and 5G rekindles state-of-the-art applications -- 6.2. Person re-identification (Re-ID) (https://towardsdatascience.com/why-we-need-person-re-identification-3a45d170098b) -- 7. Edge AI for next-generation retail experiences -- 8. Edge AI for smarter cities -- 9. Edge AI for telecommunication -- 10. Conclusion -- Further reading -- Chapter Two: Edge computing: Types and attributes -- 1. Introduction -- 2. Internet of Things (IoT) edge -- 2.1. Device type and mobility -- 2.2. Service capabilities -- 2.3. Security and privacy -- 2.4. Latency requirements -- 3. On-premises edge -- 3.1. Disaggregation -- 3.2. Network requirements -- 3.3. Scalability -- 3.4. Security -- 3.5. Life cycle management -- 4. Wireless Access Edge -- 4.1. Scalability -- 4.2. Distributed RAN functions -- 4.3. Service models -- 4.4. Intelligent RAN -- 5. Network edge -- 5.1. Next Generation Central Office -- 5.2. Wireline fixed access edge -- 5.3. Physical locations -- 6. Challenges in edge computing -- 7. Multi-Access Edge Computing -- References -- Chapter Three: Industry initiatives across edge computing -- 1. Linux Foundation Edge -- 1.1. Akraino -- 1.2. EdgeXFoundary -- 1.3. EVE -- 1.4. Fledge -- 1.5. Home Edge -- 1.6. Open Horizon -- 1.7. State of the Edge -- 1.8. Baetyl -- 1.9. eKupier -- 1.10. Secure Device Onboard -- 2. Linux Foundation for Networking. | |
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| spelling | Raj, Pethuru Verfasser aut Edge/Fog Computing Paradigm The Concept Platforms and Applications San Diego Elsevier Science & Technology 2022 1 online resource (560 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Intro -- Edge/Fog Computing Paradigm: The Concept, Platforms and Applications -- Copyright -- Contents -- Contributors -- Preface -- Chapter One: Exploring the edge AI space: Industry use cases -- 1. The proliferation of IoT devices and sensors -- 2. Activating on-device intelligence -- 3. The artificial intelligence (AI) processing at the edge -- 4. Machine learning (ML) at the edge -- 5. Deep learning at the edge -- 6. Digging into the paradigm of edge AI -- 6.1. The blend of edge AI and 5G rekindles state-of-the-art applications -- 6.2. Person re-identification (Re-ID) (https://towardsdatascience.com/why-we-need-person-re-identification-3a45d170098b) -- 7. Edge AI for next-generation retail experiences -- 8. Edge AI for smarter cities -- 9. Edge AI for telecommunication -- 10. Conclusion -- Further reading -- Chapter Two: Edge computing: Types and attributes -- 1. Introduction -- 2. Internet of Things (IoT) edge -- 2.1. Device type and mobility -- 2.2. Service capabilities -- 2.3. Security and privacy -- 2.4. Latency requirements -- 3. On-premises edge -- 3.1. Disaggregation -- 3.2. Network requirements -- 3.3. Scalability -- 3.4. Security -- 3.5. Life cycle management -- 4. Wireless Access Edge -- 4.1. Scalability -- 4.2. Distributed RAN functions -- 4.3. Service models -- 4.4. Intelligent RAN -- 5. Network edge -- 5.1. Next Generation Central Office -- 5.2. Wireline fixed access edge -- 5.3. Physical locations -- 6. Challenges in edge computing -- 7. Multi-Access Edge Computing -- References -- Chapter Three: Industry initiatives across edge computing -- 1. Linux Foundation Edge -- 1.1. Akraino -- 1.2. EdgeXFoundary -- 1.3. EVE -- 1.4. Fledge -- 1.5. Home Edge -- 1.6. Open Horizon -- 1.7. State of the Edge -- 1.8. Baetyl -- 1.9. eKupier -- 1.10. Secure Device Onboard -- 2. Linux Foundation for Networking. Electronic books Saini, Kavita 1976- (DE-588)123958458X ctb Surianarayanan, Chellammal ctb 9780128245064 Erscheint auch als Druck-Ausgabe 9780128245064 |
| spellingShingle | Raj, Pethuru Edge/Fog Computing Paradigm The Concept Platforms and Applications |
| title | Edge/Fog Computing Paradigm The Concept Platforms and Applications |
| title_auth | Edge/Fog Computing Paradigm The Concept Platforms and Applications |
| title_exact_search | Edge/Fog Computing Paradigm The Concept Platforms and Applications |
| title_exact_search_txtP | Edge/Fog Computing Paradigm The Concept Platforms and Applications |
| title_full | Edge/Fog Computing Paradigm The Concept Platforms and Applications |
| title_fullStr | Edge/Fog Computing Paradigm The Concept Platforms and Applications |
| title_full_unstemmed | Edge/Fog Computing Paradigm The Concept Platforms and Applications |
| title_short | Edge/Fog Computing Paradigm |
| title_sort | edge fog computing paradigm the concept platforms and applications |
| title_sub | The Concept Platforms and Applications |
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