Machine Learning Empowered Intelligent Data Center Networking: Evolution, Challenges and Opportunities

This book provides an introduction to machine learning-enabled intelligent data center networking fundamentals and explores the effectiveness of AI in DCNs from various perspectives, covering flow prediction, flow classification, load balancing, resource management, energy management, routing optimization, congestion control, fault management, and network security. It also introduces novel intelligent networking concepts pioneered by real-world industries and shares insights into the technological evolution of the fusion of artificial intelligence and data center networks.

Format: Paperback / softback
Length: 112 pages
Publication date: 22 February 2023
Publisher: Springer Verlag, Singapore

This book delves into the fundamental principles of machine learning in data center networks, providing a comprehensive overview of the various learning paradigms commonly employed in these networks. It also offers an introduction to data collection and processing within data centers, laying the foundation for further research in the field of AI-assisted data center networks. Moreover, the book proposes a novel solution quality assessment system called REBEL-3S, which aims to evaluate the performance of AI-assisted data center networks from multiple dimensions and perspectives.

Comprehensive Survey of AI-assisted Intelligent Data Center Networks:

This book serves as a comprehensive exploration of the peer-reviewed literature published in recent years, covering a wide range of machine learning techniques employed in data center networks. It provides in-depth analysis and enlightening discussions on the effectiveness of AI in DCNs from various perspectives, including flow prediction, flow classification, load balancing, resource management, energy management, routing optimization, congestion control, fault management, and network security.

Provides a Broad Overview with Key Insights:

In addition to its comprehensive coverage of machine learning techniques, this book introduces several novel intelligent networking concepts pioneered by real-world industries. These concepts include Knowledge Defined Networks, Self-Driving Networks, Intent-driven Networks, and Intent-based Networks. The book also offers unique insights into the technological evolution of the fusion of artificial intelligence and data center networks, along with selected challenges and future research opportunities in this field.

By providing a comprehensive and up-to-date examination of machine learning in data center networks, this book serves as a valuable resource for researchers, practitioners, and industry professionals seeking to advance their understanding and expertise in this rapidly evolving domain.

Weight: 209g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811973949
Edition number: 1st ed. 2023