• DocumentCode
    2499934
  • Title

    Efficient TCAM Encoding Schemes for Packet Classification Using Gray Code

  • Author

    Chang, Yeim-Kuan ; Su, Cheng-Chien

  • Author_Institution
    Nat. Cheng Kung Univ., Tainan
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    1834
  • Lastpage
    1839
  • Abstract
    Packet classification is an enabling function in Internet routers for a variety of Internet applications. In order to classify Internet packets into flows, Internet routers must perform searches over a set of filters using multiple fields of the packet as the search key. Because of its speed and simple filter management the Ternary Content Addressable Memory (TCAM) is currently the dominant hardware solution for IP lookups, i.e., a one-dimensional packet classification. To make TCAM the solution for the multi-dimensional packet classification, efficient methods that store the range fields of the classification tables in TCAM are needed. In this paper, we propose a set of novel range encoding schemes based on Gray code. Many range-encoding techniques are used to improve the existing elementary interval- based range encoding schemes. The present experiment´s results show that the proposed Gray code-based schemes consume less TCAM storage space than the existing schemes.
  • Keywords
    Gray codes; IP networks; Internet; computer network management; content-addressable storage; pattern classification; table lookup; telecommunication network routing; Gray code; IP lookups; Internet packet classification; Internet routers; TCAM encoding schemes; filter management; multidimensional packet classification; range encoding techniques; ternary content addressable memory; Associative memory; Encoding; Energy consumption; Hardware; Information filtering; Information filters; Internet; Matched filters; Reflective binary codes; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Electronic_ISBN
    978-1-4244-1043-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.353
  • Filename
    4411263