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
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