• DocumentCode
    2945334
  • Title

    Predicting Internet end-to-end delay: an overview

  • Author

    Yang, Ming ; Li, X. Rong ; Chen, Huimin ; Rao, Nageswara S V

  • Author_Institution
    Dept. of Electr. Eng., New Orleans Univ., LA, USA
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    210
  • Lastpage
    214
  • Abstract
    Predicting the end-to-end packet delay and understanding the Internet dynamics are of great importance for many realtime and non-realtime applications, especially for provisioning the quality of service (QoS) of various sources. In this paper methods for modeling Internet dynamics and predicting the end-to-end delays are surveyed with emphasis on the approaches using system identification and time series analysis. The survey focuses on a control engineer´s viewpoint rather than that of a statistician. Furthermore, it intends to provide a connection between the works in the both areas.
  • Keywords
    Internet; delays; graph theory; identification; learning (artificial intelligence); quality of service; time series; Internet dynamics; QoS; dynamic systems; end-to-end packet delay; quality of service; system identification; time series analysis; Algorithm design and analysis; Delay effects; Delay systems; Internet; Laboratories; Predictive models; Propagation delay; Quality of service; Switching circuits; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-8281-1
  • Type

    conf

  • DOI
    10.1109/SSST.2004.1295650
  • Filename
    1295650