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Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities

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Abstract
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.
Description
Authors
Ting, Wang
Bo, Li
Mingsong, Chen
Shui, Yu
Alternate Authors
Advisor
Place of publication
Singapore
Publisher
Springer
Date
2023
Journal ISSN
Volume Title
Keywords
Computer networks , Machine learning , Artificial intelligence
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