Enhancing Video Streaming with AI, Cloud, and Edge Technologies: Optimization Techniques and Frameworks...

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Mahmoud Darwich Magdy Bayoumi

Enhancing Video Streaming with AI, Cloud, and Edge Technologies

Optimization Techniques and Frameworks

Mahmoud Darwich, Magdy Bayoumi

$490.95 $392.41

Hardback

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English

Springer International Publishing AG
28 March 2025

Digital video: professional; Artificial intelligence

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.

By: Mahmoud Darwich, Magdy Bayoumi
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031846502
ISBN 10: 3031846508
Pages: 338
Publication Date: 28 March 2025
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Dr. Mahmoud Darwich is an Assistant Professor of Computer Science at the University of Mount Union, Ohio, USA. He received his Bachelor’s degree from Beirut Arab University, Lebanon, in 2006. Subsequently, he completed his master’s and doctorate degrees in Computer Engineering from the University of Louisiana at Lafayette in 2013 and 2017, respectively.. His research focuses on artificial intelligence, cloud computing, and edge technologies for optimizing video streaming systems. Dr. Magdy Bayoumi is a Life Fellow of IEEE and the Department Head of Electrical and Computer Engineering at the University of Louisiana at Lafayette. He earned his Ph.D. in Electrical Engineering from the University of Windsor, Canada. Dr. Bayoumi’s research spans VLSI design, digital signal processing, and wireless sensor networks. He is a recipient of several awards, including the IEEE Circuits and Systems Society Education Award.