UBRISA

View Item 
  •   Ubrisa Home
  • Faculty of Science
  • Computer Science
  • Research articles (Dept of Computer Science)
  • View Item
  •   Ubrisa Home
  • Faculty of Science
  • Computer Science
  • Research articles (Dept of Computer Science)
  • View Item
    • Login
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Improving the quality of service guarantee in an Asynchronous Transfer Mode (ATM) Network

    Thumbnail
    View/Open
    Ogwu_JCS11_2007.pdf (543.8Kb)
    Date
    2007
    Author
    Ogwu, F.J.
    Talib, M.
    Aderounmu, G.A.
    Publisher
    Science Publications, http://www.scipub.org/scipub/c4p.php?j_id=JCS
    Link
    http://www.scipub.org/fulltext/jcs/jcs311847-853.pdf
    Type
    Published Article
    Metadata
    Show full item record
    Abstract
    This study presents a technique for improving the quality of service (QoS) guarantee in an ATM network. In the proposed model, it was assumed that high priority traffic have been allocated a switch resource to guarantee a given QoS and low priority cells are allowed to enter the buffer, to improve the exploitation of reserved resources. The proposed technique was backed up with an exact analytical model for evaluating the cell loss probability of high and low priority cells. The performance of the proposed model was evaluated using C++ programming language. The results of the simulation shows that the loss probability of both high and low cells reduces as the buffer capacity increase and that the performance of high priority cell is better than that of low priority cell.
    URI
    http://hdl.handle.net/10311/818
    Collections
    • Research articles (Dept of Computer Science) [9]

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of UBRISA > Communities & Collections > By Issue Date > Authors > Titles > SubjectsThis Collection > By Issue Date > Authors > Titles > Subjects

    My Account

    > Login > Register

    Statistics

    > Most Popular Items > Statistics by Country > Most Popular Authors