Machine Learning Empowered Intelligent Data Center Networking / SpringerBriefs in Computer Science (PDF)
Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning paradigms that are widely used in data centernetworks, and offers...
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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, 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.
Bo Li received his Bachelor degree from the Information Engineering School, Hangzhou Dianzi University. He is currently pursuing his Master degree at Software Engineering Institute, East China Normal University, Shanghai, China. His research interests include data center networks, cloud computing, and machine learning systems.
Mingsong Chen received the B.S. and M.E. degrees from Department of Computer Science and Technology, Nanjing University, Nanjing, China, in 2003 and 2006 respectively, and the Ph.D. degree in Computer Engineering from the University of Florida, Gainesville, in 2010. He is currently a Professor with the Software Engineering Institute at East China Normal University. His research interests are in the area of cloud computing, design automation of cyber-physical systems, parallel and distributed systems, and formal verification techniques. Currently he serves as the director of MoE Engineering Research Center of Software/Hardware Codesign Technology and Application, and the vice director of technical committee of embedded systems of China Computer Federation (CCF). He is an Associate Editor of IET Computers \& Digital
Shui Yu is a full Professor of School of Computer Science, University of Technology Sydney, Australia. Dr. Yu's research interest includes Security and Privacy, Networking, Big Data, and Mathematical Modelling. He has published two monographs and edited two books, more than 200 technical papers, including top journals and top conferences, such as IEEE TPDS, TC, TIFS, TMC, TKDE, TETC, ToN, and INFOCOM. Dr Yu initiated the research field of networking for big data in 2013. His h-index is 33. Dr Yu actively serves his research communities in various roles. He is currently serving the editorial boards of IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, IEEE Internet of Things Journal, IEEE Communications Letters, IEEE Access, and IEEE Transactions on Computational Social Systems. He has served many international conferences as a member of organizing committee, such aspublication chair for IEEE Globecom 2015, IEEE INFOCOM 2016 and 2017, TPC chair for IEEE BigDataService 2015, and general chair for ACSW 2017. Dr Yu is a final voting member for a few NSF China programs in 2017. He is a Senior Member of IEEE, a member of AAAS and ACM, the Vice Chair of Technical Committee on Big Data of IEEE Communication Society, and a Distinguished Lecturer of IEEE Communication Society.
- Autoren: Ting Wang , Bo Li , Mingsong Chen , Shui Yu
- 2023, 1st ed. 2023, 112 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811973954
- ISBN-13: 9789811973956
- Erscheinungsdatum: 21.02.2023
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- Dateiformat: PDF
- Grösse: 3.48 MB
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