• DocumentCode
    3706542
  • Title

    Dual-centric Data Center Network Architectures

  • Author

    Dawei Li; Jie Wu; Zhiyong Liu; Fa Zhang

  • Author_Institution
    Dept. of Comput. &
  • fYear
    2015
  • Firstpage
    679
  • Lastpage
    688
  • Abstract
    Existing Data Center Network (DCN) architectures are classified into two categories: switch-centric and server-centric architectures. In switch-centric DCNs, routing intelligence is placed on switches, each server usually uses only one port of the Network Interface Card (NIC) to connect to the network. In server-centric DCNs, switches are only used as cross-bars, and routing intelligence is placed on servers, where multiple NIC ports may be used. In this paper, we formally introduce a new category of DCN architectures: the dual-centric DCN architectures, where routing intelligence can be placed on both switches and servers. We propose two typical dual-centric DCN architectures: FSquare and Rectangle, both of which are based on the folded Clos topology. FSquare is a high performance DCN architecture, in which the diameter is small and the bisection bandwidth is large, however, the DCN power consumption per server in FSquare is high. Rectangle significantly reduces the DCN power consumption per server, compared to FSquare, at the sacrifice of some performances, thus, Rectangle has a larger diameter and a smaller bisection bandwidth. By investigating FSquare and Rectangle, and by comparing them with existing architectures, we demonstrate that, these two novel dual-centric architectures enjoy the advantages of both switch-centric designs and server-centric designs, have various nice properties for practical data centers, and provide flexible choices in designing DCN architectures.
  • Keywords
    "Servers","Computer architecture","Delays","Power demand","Switches","Routing","Ports (Computers)"
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing (ICPP), 2015 44th International Conference on
  • ISSN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2015.77
  • Filename
    7349623