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Data Center Networking

Network Topologies and Traffic Management in Large-Scale Data Centers

  • Book
  • © 2022

Overview

  • Systematically reveals the developing trend of the designing methodologies of Data Center Networks
  • Summarizes representative DCNs, including a switch-centric DCN, a modular DCN, a wireless DCN, and a hybrid DCN
  • Provides a reference for researchers working on network resources optimization in detailed levels

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Table of contents (10 chapters)

  1. Basic Knowledge

  2. Traffic Cooperation Management in Data Centers

Keywords

About this book

This book provides a comprehensive reference in large data center networking. It first summarizes the developing trend of DCNs, and reports four novel DCNs, including a switch-centric DCN, a modular DCN, a wireless DCN, and a hybrid DCN.  Furthermore another important factor in DCN targets at managing and optimizing the network activity at the level of transfers to aggregate correlated data flows and thus directly to lower down the network traffic resulting from such data transfers. In particular, the book reports the in-network aggregation of incast transfer, shuffle transfer, uncertain incast transfer, and the cooperative scheduling of uncertain multicast transfer.


Authors and Affiliations

  • School of System Engineering, National University of Defense Technology, Changsha, China

    Deke Guo

About the author

Dr. Deke Guo is a Professor with National University of Defense Technology, Changsha, China. His research interests include distributed systems, software-defined networking, data center networking, wireless and mobile systems, and interconnection networks. He is a Senior Member of IEEE, and has received the CCF-IEEE CS Young Computer Scientist Award in 2020.  He has published more than 200 conference and journal papers. Among those papers, 58 papers are published by the premier journals, including IEEE/ACM Transactions on Networking, IEEE Transactions on Computer, Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems, et .al.



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