• DocumentCode
    466856
  • Title

    LQRD: An Improved ECN Algorithm

  • Author

    Lai, Jun ; Ye, Wu ; Feng, Sui-Li

  • Author_Institution
    South China Univ. of Technol., Guangzhou
  • Volume
    1
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    239
  • Lastpage
    244
  • Abstract
    In this paper the performance of the gateway using ECN (Explicit Congestion Notification) is analyzed firstly. Study shows that the recommendation in the protocol that gateway drops packets when the average queue size exceeds the upper threshold brings too low throughput. However, if it is be substituted for marking packets, which increases average delay and induces parts of fail connections for heavy loads, the throughput will improve greatly. To make sure high throughput, low delay and robust connectivity for long queue length, this paper presents an improved algorithm named LQRD (Long Queue Random Drop). The algorithm drops packets with a certain probability when the average queue size exceeds the upper threshold to limit the increase of queue length. The drop probability is computed according to buffer size, link capacity, average queue length and average queue delay to reflect load changing. Then we analyze the solved model of the LQRD algorithm by using differential equation. And at last, some simulation experiments show the algorithm has good performance.
  • Keywords
    differential equations; internetworking; probability; protocols; queueing theory; differential equation; explicit congestion notification algorithm; gateway drops packet probability; long queue random drop algorithm; protocol recommendation; Algorithm design and analysis; Artificial intelligence; Delay; Electrical capacitance tomography; Internet; Performance analysis; Protocols; Software engineering; TCPIP; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.39
  • Filename
    4287510