• DocumentCode
    2912880
  • Title

    Forecasting Full-Path Network Congestion Using One Bit Signalling

  • Author

    Woldeselassie, Mussie ; Clegg, Richard G. ; Rio, Miguel

  • Author_Institution
    Dept. of E&EE, Univ. Coll. London, London, UK
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a mechanism for packet marking called Probabilistic Congestion Notification (PCN). This scheme makes use of the 1-bit Explicit Congestion Notification (ECN) field in the Internet Protocol (IP) header. It allows the source to estimate the exact level of congestion at each intermediate queue. By knowing this, the source could take avoiding action either by adapting its sending rate or by using alternate routes. The estimation mechanism makes use of time series analysis both to improve the quality of the congestion estimation and to predict, ahead of time, the congestion level which subsequent packets will encounter. The proposed protocol is tested in ns-2 simulator using a background of real Internet traffic traces. Results show that the methods can successfully calculate the congestion at any queue along the path with low error levels.
  • Keywords
    Internet; queueing theory; telecommunication congestion control; telecommunication signalling; telecommunication traffic; time series; transport protocols; Internet protocol header; Internet traffic traces; estimation mechanism; explicit congestion notification field; full-path network congestion forecasting; intermediate queue; ns-2 simulator; one bit signalling; packet marking; probabilistic congestion notification; time series analysis; transmission control protocol; Communications Society; Educational institutions; Internet; Personal communication networks; Protocols; Root mean square; TCPIP; Testing; Time series analysis; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4244-6402-9
  • Type

    conf

  • DOI
    10.1109/ICC.2010.5502644
  • Filename
    5502644