KFUPM ePrints

An Enhanced Estimator to Multi-objective OSPF Weight Setting Problem

Sqalli, Mohammed H. An Enhanced Estimator to Multi-objective OSPF Weight Setting Problem. In: The 10th IEEE/IFIP Network Operations and Management Symposium (NOMS-2006), April 3-7, 2006, Vancouver, Canada..

[img]
Preview
PDF (Mohammed H. Sqalli, Sadiq M. Sait, and Mohammed Aijaz Mohiuddin, “An Enhanced Estimator to Multi-objective OSPF Weight Setting Problem”. The 10th IEEE/IFIP Network Operations and Management Symposium (NOMS-2006), April 3-7, 2006, Vancouver, Canada.)
541Kb

Abstract

Open Shortest Path First (OSPF) is a routing protocol which is widely used in the Industry. Its functionality mainly depends on the weights assigned to the links. Given the traf�c demands on a network, setting weights such that congestion can be avoided is an NP-hard problem. Optimizing these link weights leads to ef�cient network utilization which is the main goal of traf�c engineering. In this paper, Simulated Annealing iterative heuristic is applied to this problem. This will provide close-to-optimal solutions that can be used for network provisioning. For this problem, the cost function that has been used in the literature depends solely on the links utilization and therefore optimizes only the network utilization. In this paper, our goal is to optimize the number of congested links in the network in addition to the utilization. Therefore, we propose a new cost function that depends on the utilization and the extra load caused by congested links in the network. This provides the network designer with more �exibility to optimize desired parameters. Our results show less number of congested links and comparable extra load in the network when compared to results of using the existing cost function.



Item Type:Conference or Workshop Item (Paper)
Subjects:Computer
Creators:Sqalli, Mohammed H.
Email:sqalli@kfupm.edu.sa
ID Code:247
Deposited By:SQALLI MOHAMMED HOUSSAINI
Deposited On:10 Mar 2008 14:36
Last Modified:12 Apr 2011 13:08

Repository Staff Only: item control page