This chapter presents practical case studies and real-world implementations of artificial intelligence (AI), cloud computing, and edge computing in video streaming. It explores how these technologies have been deployed to optimize video delivery, improve scalability, and enhance user experiences across platforms such as Netflix, YouTube, and Amazon Prime Video. The case studies highlight AI-driven content recommendation systems, adaptive bitrate streaming, and cloud-based resource management. Additionally, the chapter emphasizes the role of edge computing in reducing latency for real-time applications like live streaming and interactive video experiences. Through these examples, the chapter provides valuable insights into the challenges, best practices, and future directions for implementing AI, cloud, and edge technologies in video streaming systems.

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Case Studies and Real-World Implementations of AI, Cloud, and Edge in Video Streaming

  • Mahmoud Darwich,
  • Magdy Bayoumi

摘要

This chapter presents practical case studies and real-world implementations of artificial intelligence (AI), cloud computing, and edge computing in video streaming. It explores how these technologies have been deployed to optimize video delivery, improve scalability, and enhance user experiences across platforms such as Netflix, YouTube, and Amazon Prime Video. The case studies highlight AI-driven content recommendation systems, adaptive bitrate streaming, and cloud-based resource management. Additionally, the chapter emphasizes the role of edge computing in reducing latency for real-time applications like live streaming and interactive video experiences. Through these examples, the chapter provides valuable insights into the challenges, best practices, and future directions for implementing AI, cloud, and edge technologies in video streaming systems.