Description: Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities, Paperback by Wang, Ting; Li, Bo; Chen, Mingsong; Yu, Shui, ISBN 9811973946, ISBN-13 9789811973949, Like New Used, Free shipping in the US 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. Th 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, th 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.
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Book Title: Machine Learning Empowered Intelligent Data Center Networking : E
Number of Pages: Xv, 112 Pages
Language: English
Publication Name: Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities
Publisher: Springer
Subject: Cloud Computing, Intelligence (Ai) & Semantics, Networking / General, General
Publication Year: 2023
Type: Textbook
Item Weight: 7.4 Oz
Author: Bo Li, Ting Wang, Shui Yu, Mingsong Chen
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Series: Springerbriefs in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback