Enhancing Video Streaming with AI, Cloud, and Edge Technologies
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.
| Autor: | Bayoumi, Magdy Darwich, Mahmoud |
|---|---|
| ISBN: | 9783031846502 |
| Sprache: | Englisch |
| Seitenzahl: | 358 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 31.03.2025 |
| Schlagworte: | Adaptive Bitrate (ABR) Streaming Artificial Intelligence (AI) in Video Streaming Blockchain in Video Streaming Cloud Computing Dynamic Resource Scaling Edge Computing Federated Learning Low-Latency Streaming Quality of Experience (QoE) Video Compression and Encoding |
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