Enhancing Video Streaming with AI, Cloud, and Edge Technologies Optimization Techniques and Frameworks /
This book explores how artificial intelligence, cloud computing, and edge technologies are transforming video streaming systems. It delves into AI-driven adaptive bitrate streaming, predictive resource allocation, and federated learning for personalized recommendations. The integration of cloud and...
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| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
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Springer Nature Switzerland : Imprint: Springer,
2025.
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| Ausgabe: | 1st ed. 2025. |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/978-3-031-84651-9 |
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| Zusammenfassung: | This book explores how artificial intelligence, cloud computing, and edge technologies are transforming video streaming systems. It delves into AI-driven adaptive bitrate streaming, predictive resource allocation, and federated learning for personalized recommendations. The integration of cloud and edge computing is highlighted as a solution for scalability and low-latency streaming, addressing challenges like bandwidth optimization, cost-efficiency, and Quality of Experience (QoE). The book offers actionable insights into emerging technologies like 5G, quantum computing, and blockchain. It features case studies and real-world implementations, making it an essential resource for researchers, industry professionals, and students. Bridging theory and practice, the book provides a comprehensive guide to building the next generation of efficient and scalable video streaming infrastructures. |
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| Beschreibung: | XXIII, 338 p. 107 illus., 106 illus. in color. online resource. |
| ISBN: | 9783031846519 |
| DOI: | 10.1007/978-3-031-84651-9 |