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Titlebook: Machine Learning Empowered Intelligent Data Center Networking; Evolution, Challenge Ting Wang,Bo Li,Shui Yu Book 2023 The Author(s), under

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发表于 2025-3-21 18:22:33 | 显示全部楼层 |阅读模式
书目名称Machine Learning Empowered Intelligent Data Center Networking
副标题Evolution, Challenge
编辑Ting Wang,Bo Li,Shui Yu
视频video
概述Provides an unbiased introduction to the application of artificial intelligence in data center networks (DCNs).Presents a comprehensive survey of intelligent DCN solutions, as well as several novel in
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Machine Learning Empowered Intelligent Data Center Networking; Evolution, Challenge Ting Wang,Bo Li,Shui Yu Book 2023 The Author(s), under
描述.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 in
出版日期Book 2023
关键词Data Center Network; Machine Learning; Reinforcement Learning; Deep Learning; Artificial Intelligence; Ne
版次1
doihttps://doi.org/10.1007/978-981-19-7395-6
isbn_softcover978-981-19-7394-9
isbn_ebook978-981-19-7395-6Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
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发表于 2025-3-21 22:59:51 | 显示全部楼层
SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/m/image/620397.jpg
发表于 2025-3-22 04:22:05 | 显示全部楼层
978-981-19-7394-9The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
发表于 2025-3-22 07:45:57 | 显示全部楼层
发表于 2025-3-22 09:41:59 | 显示全部楼层
Fundamentals of Machine Learning in Data Center Networks,In this chapter, we will briefly review the common learning paradigms of ML and some preliminary knowledge about data collection and processing. Furthermore, to better assess the strengths and weaknesses of the existing research work, we design a multi-dimensional and multi-perspective quality assessment criteria, called REBEL-3S.
发表于 2025-3-22 16:12:47 | 显示全部楼层
发表于 2025-3-22 17:54:30 | 显示全部楼层
Conclusion,As the core infrastructure, data center provides a strong platform support for cloud computing, and so on. Nevertheless, the rapid growth of its network scale leads to great challenges in network optimization.
发表于 2025-3-22 22:21:48 | 显示全部楼层
Introduction,echnical and platform support for enterprise and cloud services. However, with the rapid rise of the data center scale, the network optimization, resource management, operation and maintenance, and data center security have become more and more complicated and challenging.
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