• DocumentCode
    245573
  • Title

    A Novel Queue Management Algorithm INRIO-C Based on Differentiated Services

  • Author

    Jie Xu ; Jianwei Song ; Qingqiang He ; Jun Xu

  • Author_Institution
    Key Lab. of Opt. Fiber Sensing & Commun., UESTC, Chengdu, China
  • fYear
    2014
  • fDate
    19-21 Dec. 2014
  • Firstpage
    541
  • Lastpage
    546
  • Abstract
    Diff Serv network architecture is the first choice for QoS of network. As a network buffer resource management, active queue management is the key technology to differentiated services. On the basis of the RIO-C (RED with IN/OUT and couple queue), this paper proposes a queue management algorithm INRIO-C (Improved nonlinear RIO-C). This algorithm takes nonlinear characteristics between the average length of the queue and packets loss probability into consideration, and proposes piecewise smooth discarding functions. By NS-2 simulation, INRIO-C algorithm is proved that it can improve system stability, increase the priority queue throughput, reduce packets loss rate of the system, and increase system capacity for burst traffic.
  • Keywords
    DiffServ networks; computer network management; probability; quality of service; queueing theory; DiffServ network architecture; INRIO-C queue management algorithm; NS-2 simulation; QoS; active queue management; burst traffic; differentiated services; improved nonlinear RIO-C; network buffer resource management; nonlinear characteristics; packets loss probability; packets loss rate reduction; piecewise smooth discarding functions; priority queue throughput; system capacity; system stability; Computer architecture; Electronic mail; Packet loss; Quality of service; Stability analysis; Throughput; Active queue management; Differentiated services; Nonlinear; QoS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-7980-6
  • Type

    conf

  • DOI
    10.1109/CSE.2014.124
  • Filename
    7023634