• DocumentCode
    2202162
  • Title

    The Correlation of Operation Parameters for Packets Transmission in Network

  • Author

    Yin, Shuifang ; Yu, Shengchun

  • Author_Institution
    Coll. of Sci., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    1-3 Nov. 2010
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    With the development of network, its infrastructure and service model are closely related by network congestion. Based on some conditions such as the network bandwidth, propagation delay, traffic distribution, the changing load conditions and packets transmission are need to the better performance and efficiency. Like those parameters, the network congestion has been occurred. And the congestion is always difficult to be avoided. Analysis the running of packets in the system, it needs the whole segments to research and monitor. In this paper, some network traffic have been analyzed such as the probability of congestion, lost packets, the average number of packets within the system, the best service efficiency and the minimum packets loss rate. Use these data and this relationship, some series of parameters can be obtained. Meanwhile, the experiment proved the correctness of the parameters, and it also proved the validity of relations with those parameters which can be adjust the network running.
  • Keywords
    probability; queueing theory; telecommunication congestion control; telecommunication network management; telecommunication traffic; active queue management; changing load condition; congestion probability; network bandwidth; network congestion control; operation parameter; packet transmission; packets transmission; propagation delay; service model; traffic distribution; best processing efficiency; congestion control; packet loss rate; service efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-8548-2
  • Electronic_ISBN
    978-0-7695-4249-2
  • Type

    conf

  • DOI
    10.1109/ICINIS.2010.99
  • Filename
    5693751