• DocumentCode
    2502798
  • Title

    A demonstration of the FN packet marking probability

  • Author

    Kadhum, Mohammed M. ; Hassan, Suhaidi

  • Author_Institution
    InterNetWorks Res. Group, Univ. Utara Malaysia, Sintok, Malaysia
  • fYear
    2009
  • fDate
    28-30 Sept. 2009
  • Firstpage
    1540
  • Lastpage
    1543
  • Abstract
    The effectiveness of queue management mechanisms relies on how good their control decisions will help in satisfying their goals regarding congestion avoidance and control. These decisions are implemented and compelled during the design of the packet mark probability and the mark activation functions. The design of fast congestion notification (FN) drop/mark probability function enables the two control decisions, packet admissions and congestion control directing, to be made along with each other. This permits sending congestion avoidance notification as early as required even if the queue is almost empty, and preventing congestion notification even if the queue is almost full but the arrival rate is controllable. This leads to good buffer utilization and proper congestion detection. This paper demonstrates the drop/mark probability functions that the fast FN policy would exercise for different values of optimal queue size, and also for a specific optimal queue size value.
  • Keywords
    decision theory; probability; queueing theory; telecommunication congestion control; FN packet marking probability; arrival rate control; buffer utilization; congestion avoidance; drop-mark probability function; queue management mechanism; Art; Buffer overflow; Delay; Educational institutions; Internet; Optimal control; Probability; Quality of service; Throughput; Traffic control; Fast congestion Notification (FN) gateway; Packet drop probability; Random Early Detection (RED) gateway;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on
  • Conference_Location
    Icheon
  • Print_ISBN
    978-1-4244-4521-9
  • Electronic_ISBN
    978-1-4244-4522-6
  • Type

    conf

  • DOI
    10.1109/ISCIT.2009.5341027
  • Filename
    5341027