• DocumentCode
    1977767
  • Title

    An efficient flow classification algorithm in Software-Defined Networking

  • Author

    Seungbum Ju ; Kyoungtaek Lee ; Jonghun Kim ; Jaiyong Lee

  • Author_Institution
    Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
  • fYear
    2015
  • fDate
    12-14 Jan. 2015
  • Firstpage
    227
  • Lastpage
    232
  • Abstract
    In Software-Defined Network environment, operator can see the global view of network. So it can be manage flows with network-wide view, but legacy flow classification method cannot satisfy the integrated tables of all switches because of out of memory and long compilation time. So I proposed the architecture that can control network-wide flow classification to satisfy one´s policy like Quality-of-Service. The architecture that proposed is consists of hierarchical Multi-valued decision diagram and Binary Decision Diagram. It is used to be used in VLSI. It makes less memory consumption and little compilation time. So it can contribute in network verification and network fabric.
  • Keywords
    VLSI; binary decision diagrams; pattern classification; quality of service; software defined networking; VLSI; binary decision diagram; compilation time; flow classification algorithm; hierarchical multivalued decision diagram; memory consumption; quality of service; software defined networking; Binary decision diagrams; Boolean functions; Guidelines; Hypercubes; Internet; Standards; SDN; binary decision diagram; compilation time; flow classification; memory; network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking (ICOIN), 2015 International Conference on
  • Conference_Location
    Cambodia
  • Type

    conf

  • DOI
    10.1109/ICOIN.2015.7057887
  • Filename
    7057887