• DocumentCode
    704245
  • Title

    Software-Defined Flow Table Pipeline

  • Author

    Xiaoye Sun ; Ng, T. S. Eugene ; Guohui Wang

  • fYear
    2015
  • fDate
    9-13 March 2015
  • Firstpage
    335
  • Lastpage
    340
  • Abstract
    Software-Defined Networking (SDN) is revolutionizing data center networks for cloud computing with its ability to enable network virtualization and powerful network resource management that are crucial in any multi-tenant environment. In order to support sophisticated network control logic, the data plane of a switch should have a flexible Flow Table Pipeline (FTP). However, the FTP on state-of-the-art SDN switches is hardware-defined, which greatly limits the advantages of using FTP in cloud computing systems. This paper removes this limitation by introducing software-defined FTP (SDFTP), which provides an extremely flexible FTP as the southbound interface of the SDN control plane. SDFTP offers arbitrary number of pipeline stages and adaptive flow table sizing at runtime by building Software-Defined Flow Tables (SDFTs). Our analysis shows that SDFTP could create 138 times more adaptively sized pipeline stages than the hardware-defined data plane while maintaining comparable performance.
  • Keywords
    cloud computing; computer centres; pipeline processing; resource allocation; software defined networking; virtualisation; SDFTP; SDN control plane; adaptive flow table sizing; cloud computing; data center networks; multitenant environment; network control logic; network resource management; network virtualization; software-defined FTP; software-defined flow table pipeline; software-defined networking; southbound interface; switch data plane; Cloud computing; Pipelines; Runtime; Switches; Throughput; Virtualization; Data plane; Flow management; Flow table pipeline; Network virtualization; OpenFlow; Software-defined flow table; Software-defined networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Engineering (IC2E), 2015 IEEE International Conference on
  • Conference_Location
    Tempe, AZ
  • Type

    conf

  • DOI
    10.1109/IC2E.2015.52
  • Filename
    7092940