• DocumentCode
    2323617
  • Title

    A matrix usage of load balancing heuristic for shortest path routing

  • Author

    Mustafa, N.M. ; Othman, Mohamed ; Zukarnain, Zuriati Ahmad

  • Author_Institution
    Dept. of Comput. Network, Kolej Univ. Islam Antarabangsa Selangor, Bangi
  • fYear
    2008
  • fDate
    13-15 May 2008
  • Firstpage
    356
  • Lastpage
    361
  • Abstract
    Open shortest path first (OSPF) is a hierarchical interior gateway protocol (IGP) that can routes traffic flows along shortest paths. It splits the load equally at nodes where several outgoing links are on the shortest paths to the same destination. Shortest paths are defined based on a link weights value assigned to each link in the network. OSPF routing suffers from unutilizing network resources, thus appearance of congested links. This research aim is to study the problems of finding another matrix that can replace or minimize the usage of demand matrix. The results show that the routing performance of the new proposed method matrix usage method (MUM) is better than the routing performance of the previous evenly balancing methods (EBH) due to providing a balancing load and optimizing the usage of link with counting selection in the shortest path routing. MUM execution times are also improved comparing with the previous work.
  • Keywords
    internetworking; matrix algebra; network servers; protocols; telecommunication links; telecommunication network routing; OSPF routing; evenly balancing methods; hierarchical interior gateway protocol; load balancing heuristic; matrix usage method; open shortest path first; shortest path routing; Communication system traffic control; Computer networks; IP networks; Information science; Information technology; Load management; Optimization methods; Quality of service; Routing; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-1691-2
  • Electronic_ISBN
    978-1-4244-1692-9
  • Type

    conf

  • DOI
    10.1109/ICCCE.2008.4580628
  • Filename
    4580628