Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/75919
Type: Artigo de periódico
Title: A hybrid genetic algorithm for the weight setting problem in OSPF/IS-IS routing
Author: Buriol, LS
Resende, MGC
Ribeiro, CC
Thorup, M
Abstract: Intradomain traffic engineering aims to make more efficient use of network resources within an autonomous system. Interior Gateway Protocols such as OSPF (Open Shortest Path First) and IS-IS (Intermediate System-Intermediate System) are commonly used to select the paths along which traffic is routed within an autonomous system. These routing protocols direct traffic based on link weights assigned by the network operator. Each router in the autonomous system computes shortest paths and creates destination tables used to direct each packet to the next router on the path to its final destination. Given a set of traffic demands between origin-destination pairs, the OSPF weight setting problem consists of determining weights to be assigned to the links so as to optimize a cost function, typically associated with a network congestion measure. In this article, we propose a genetic algorithm with a local improvement procedure for the OSPF weight-setting problem. The local improvement procedure makes use of an efficient dynamic shortest path algorithm to recompute shortest paths after the modification of link weights. We test the algorithm on a set of real and synthetic test problems, and show that it produces near-optimal solutions. We compare the hybrid algorithm with other algorithms for this problem illustrating its efficiency and robustness. (c) 2005 Wiley Periodicals, Inc.
Subject: OSPF routing
IS-IS routing
Internet
metaheuristics
genetic algorithm
optimized crossover
local search
Country: EUA
Editor: John Wiley & Sons Inc
Rights: fechado
Identifier DOI: 10.1002/net.20070
Date Issue: 2005
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

Files in This Item:
File Description SizeFormat 
WOS000230607300003.pdf297.01 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.