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181   $ctxt$2rdacontent
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200 10$aMachine Learning Empowered Intelligent Data Center Networking $eEvolution, Challenges and Opportunities /$fby Ting Wang, Bo Li, Mingsong Chen, Shui Yu
205   $a1st ed. 2023.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023.
215   $a1 online resource (123 pages)
225 1 $aSpringerBriefs in Computer Science,$x2191-5776
311 08$aPrint version: Wang, Ting Machine Learning Empowered Intelligent Data Center Networking Singapore : Springer,c2023 9789811973949 
327   $aChapter 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.
330   $aAn Introduction to the Machine Learning Empowered Intelligent Data Center Networking Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning paradigms that are widely used in data centernetworks, and offers an introduction to data collection and data processing in data centers. Additionally, it proposes a multi-dimensional and multi-perspective solution quality assessment system called REBEL-3S. The book offers readers a solid foundation for conducting research in the field of AI-assisted data center networks. Comprehensive Survey of AI-assisted Intelligent Data Center Networks. This book comprehensively investigates the peer-reviewed literature published in recent years. The wide range of machine learning techniques is fully reflected to allow fair comparisons. In addition, the book provides in-depth analysis and enlightening discussions on the effectiveness of AI in DCNs from various perspectives, covering flow prediction, flow classification, load balancing, resource management, energy management, routing optimization, congestion control, fault management, and network security. Provides a Broad Overview with Key Insights. This book introduces several novel intelligent networking concepts pioneered by real-world industries, such as Knowledge Defined Networks, Self-Driving Networks, Intent-driven Networks and Intent-based Networks. Moreover, it shares unique insights into the technological evolution of the fusion of artificial intelligence and data center networks, together with selected challenges and future research opportunities.
410  0$aSpringerBriefs in Computer Science,$x2191-5776
606   $aCloud Computing
606   $aComputer networks
606   $aArtificial intelligence
606   $aMachine learning
606   $aTelecommunication
606   $aCloud Computing
606   $aComputer Communication Networks
606   $aArtificial Intelligence
606   $aMachine Learning
606   $aCommunications Engineering, Networks
615  0$aCloud Computing.
615  0$aComputer networks.
615  0$aArtificial intelligence.
615  0$aMachine learning.
615  0$aTelecommunication.
615 14$aCloud Computing.
615 24$aComputer Communication Networks.
615 24$aArtificial Intelligence.
615 24$aMachine Learning.
615 24$aCommunications Engineering, Networks.
676   $a006.3
702   $aWang$b Ting
801  0$bMiAaPQ
801  1$bMiAaPQ
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906   $aBOOK
912   $a9910674347903321
996   $aMachine learning empowered intelligent data center networking$93374604
997   $aUNINA