• DocumentCode
    170723
  • Title

    On the design and analysis of Data Center Network architectures for interconnecting dual-port servers

  • Author

    Dawei Li ; Jie Wu

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    1851
  • Lastpage
    1859
  • Abstract
    We consider the design and analysis of Data Center Network (DCN) architectures for interconnecting dual-port servers. Unlike existing works, we propose the concept of Normalized Switch Delay (NSD) to distinguish a server-to-server-direct hop and a server-to-server-via-switch hop, to unify the design of DCN architectures. We then consider a fundamental problem: maximizing the number of dual-port servers, given network diameter and switch port number; and give an upper bound on this maximum number. Two novel architectures are proposed: SWCube and SWKautz, based on the generalized hypercube and Kautz graph, respectively, which in most cases accommodate more servers than BCN [1], which was claimed to be the largest known architecture. Compared with three existing architectures, SWCube and SWKautz demonstrate various advantages. Analysis and simulations also show that SWCube and SWKautz have nice properties for DCNs, such as low diameter, good fault-tolerance, and capability of efficiently handling network congestion.
  • Keywords
    computer centres; hypercube networks; network servers; network theory (graphs); DCN architecture design; Kautz graph; NSD; SWCube; SWKautz; data center network architecture; dual port server interconnection; generalized hypercube; network diameter; normalized switch delay; server-to-server-direct hop; server-to-server-via-switch hop; switch port number; Delays; Hypercubes; Ports (Computers); Servers; Switches; Upper bound; Data center networks (DCNs); Kautz graphs; dual-port servers; generalized hypercubes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2014 Proceedings IEEE
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2014.6848124
  • Filename
    6848124