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Machine learning empowered intelligent data center networkingevolution, challenges and opportunities /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning empowered intelligent data center networkingby Ting Wang ... [et al.].
Reminder of title:	evolution, challenges and opportunities /
other author:	Wang, Ting.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xv, 112 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-981-19-7395-6
ISBN:	9789811973956$q(electronic bk.)

Machine learning empowered intelligent data center networkingevolution, challenges and opportunities /
Machine learning empowered intelligent data center networkingevolution, challenges and opportunities /[electronic resource] :by Ting Wang ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xv, 112 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

Chapter 1: Introduction -- Chapter 2: Fundamentals of Machine Learning in Data Center Networks -- Chapter 3: Machine Learning Empowered Intelligent Data Center Networking -- Chapter 4: Insights, Challenges, and Opportunities -- Chapter 5: Conclusion.

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.

ISBN: 9789811973956$q(electronic bk.)

Standard No.: 10.1007/978-981-19-7395-6doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .W35 2023

Dewey Class. No.: 006.31

Machine learning empowered intelligent data center networkingevolution, challenges and opportunities /
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