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024 7 _a10.1007/978-981-19-7395-6
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072 7 _aCOM091000
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072 7 _aUTC
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082 0 4 _a004.6782
_223
100 1 _aWang, Ting.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMachine Learning Empowered Intelligent Data Center Networking
_h[electronic resource] :
_bEvolution, Challenges and Opportunities /
_cby Ting Wang, Bo Li, Mingsong Chen, Shui Yu.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXV, 112 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aSpringerBriefs in Computer Science,
_x2191-5776
505 0 _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.
520 _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, coveringflow 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.
650 0 _aCloud Computing.
650 0 _aComputer networks .
650 0 _aArtificial intelligence.
650 0 _aMachine learning.
650 0 _aTelecommunication.
650 1 4 _aCloud Computing.
650 2 4 _aComputer Communication Networks.
650 2 4 _aArtificial Intelligence.
650 2 4 _aMachine Learning.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aLi, Bo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aChen, Mingsong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aYu, Shui.
_eauthor.
_0(orcid)
_10000-0003-4485-6743
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811973949
776 0 8 _iPrinted edition:
_z9789811973963
830 0 _aSpringerBriefs in Computer Science,
_x2191-5776
856 4 0 _uhttps://doi.org/10.1007/978-981-19-7395-6
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