EAN: 9789811973949

SPRINGERBRIEFS IN COMPUTER SCIENCE MACHINE LE...

An Introduction to the Machine Learning Empowered Intelligent Data Center Networking
Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning
paradigms that are widely used in data centernetworks  and offers an introduction to data
collection and data processing in data centers. Additionally  it proposes a multi-dimensional
and multi-perspective solution quality assessment system called REBEL-3S. The book offers
readers a solid foundation for conducting research in the field of AI-assisted data center
networks.Comprehensive Survey of AI-assisted Intelligent Data Center Networks. This book
comprehensively investigates the peer-reviewed literature published in recent years. The wide
range of machine learning techniques is fully reflected to allow fair comparisons. In addition
the book provides in-depth analysis and enlightening discussions on 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. Provides a Broad Overview with Key Insights. This book
introduces several novel intelligent networking concepts pioneered by real-world industries 
such as Knowledge Defined Networks  Self-Driving Networks  Intent-driven Networks and
Intent-based Networks. Moreover  it shares unique insights into the technological evolution of
the fusion of artificial intelligence and data center networks  together with selected
challenges and future research opportunities.

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