• DocumentCode
    2204942
  • Title

    Adaptive congestion avoidance for assured QoS

  • Author

    Zhang, Dongli ; Ionescu, Dan

  • Author_Institution
    Sch. of Inf. & Technol. Eng., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    274
  • Lastpage
    278
  • Abstract
    Traditionally, IP networks offer a single, best effort class-of-service. In order to support multiple services, the converged IP network must provide Quality of Service (QoS). One of the most difficult QoS areas is named as congestion avoidance. Today¿s router implementations depend solely on RED or lately WRED (Weighted Random Early Detection) for this function. However, two attributes minimize the effectiveness of WRED-only implementations. First, WRED simply determines congestion by looking at average buffer utilization. Second, dropping will be performed at the point of congestion instead of preventing the formation of a congestion point. To directly augment the short-comings of WRED, this paper develops an adaptive congestion avoidance algorithm, which prevents congestion within the IP core system, and assures deterministic QoS. It takes care of long-term congestion relief and ensures that a global precedence-based dropping is respected fairly among the ingress traffic.
  • Keywords
    IP networks; quality of service; telecommunication congestion control; telecommunication traffic; IP networks; QoS; WRED; adaptive congestion avoidance; class-of-service; weighted random early detection; Aggregates; Buffer storage; Convergence; Diffserv networks; IP networks; Multiprotocol label switching; Quality of service; Spine; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-2423-8
  • Electronic_ISBN
    978-1-4244-2424-5
  • Type

    conf

  • DOI
    10.1109/ICCS.2008.4737187
  • Filename
    4737187