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Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities / / by Ting Wang, Bo Li, Mingsong Chen, Shui Yu



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Titolo: Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities / / by Ting Wang, Bo Li, Mingsong Chen, Shui Yu Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (123 pages)
Disciplina: 006.3
Soggetto topico: Cloud Computing
Computer networks
Artificial intelligence
Machine learning
Telecommunication
Computer Communication Networks
Artificial Intelligence
Machine Learning
Communications Engineering, Networks
Persona (resp. second.): WangTing
Nota di contenuto: Chapter 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.
Sommario/riassunto: 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 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.
Titolo autorizzato: Machine learning empowered intelligent data center networking  Visualizza cluster
ISBN: 981-19-7395-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910674347903321
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Serie: SpringerBriefs in Computer Science, . 2191-5776