• DocumentCode
    2016723
  • Title

    Predictive methodology for high-performance networking

  • Author

    Foag, Jürgen ; Wild, Thomas ; Pazos, Nuria ; Brunnbauer, Winthir

  • Author_Institution
    Inst. for Integrated Circuits, Tech. Univ. Munich, Germany
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    169
  • Lastpage
    174
  • Abstract
    Networking devices have to offer short processing latencies and flexibility concerning the supported networking protocols and applications. The input packet-processing flow in conventional networking node devices follows a serial or a layer-specific pseudo-parallel method, serialized by the data dependencies of the inherent layer protocol types. This article describes a new methodology, which is based on the principles of branch prediction and speculative execution in microprocessors, for latency reduced input packet processing in a networking device. Through the use of protocol stack prediction, in combination with speculative protocol layer processing, a networking system may realize a mean system processing time reduction of up to 40 percent in a real networking environment in comparison to conventional processing methodologies.
  • Keywords
    computer networks; parallel architectures; performance evaluation; protocols; queueing theory; branch prediction; high-performance networking; latency reduced input packet processing; networking devices; networking protocols; predictive methodology; protocol stack; queueing; speculative protocol layer processing; system processing time reduction; Delay; Integrated circuit technology; Microprocessors; Predictive models; Protocols; Queueing analysis; Real time systems; Telecommunication traffic; Throughput; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 2002. Proceedings. ISCC 2002. Seventh International Symposium on
  • ISSN
    1530-1346
  • Print_ISBN
    0-7695-1671-8
  • Type

    conf

  • DOI
    10.1109/ISCC.2002.1021674
  • Filename
    1021674