Repositório Institucional da Universidade de Aveiro > Departamento de Electrónica, Telecomunicações e Informática > DETI - Artigos >
 Models for optimal survivable routing with a minimum number of hops: comparing disaggregated with aggregated models
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5186

title: Models for optimal survivable routing with a minimum number of hops: comparing disaggregated with aggregated models
authors: Gouveia, Luís
Patrício, Pedro
Sousa, Amaro de
keywords: Hop Constraints
Traffic Engineering
issue date: May-2011
publisher: Wiley-Blackwell
abstract: Given an undirected network with link capacities and a set of commodities with known demands, this paper addresses the problem of determining D (with D = 2, 3, 4) hop-constrained node disjoint paths for each commodity while minimizing the average or the maximum number of hops. These paths are defined according to two survivability mechanisms - Path Diversity and Path Protection, the latter guaranteeing total demand protection in the event of n failures (with n < D). We study these problems in the context of a traffic engineering task over pre-dimensioned networks where the real traffic demands are inevitably different from the estimated traffic demands that were assumed in the network dimensioning task. We present two classes of ILP models, disaggregated and aggregated, for both problems, study the relationship between their linear programming relaxations and compare their effectiveness through a set of computational experiments. The results show that, in practice, there is no gain in using the disaggregated models.
URI: http://hdl.handle.net/10773/5186
ISSN: 0969-6016
source: International Transactions in Operational Research
appears in collectionsDETI - Artigos

files in this item

file description sizeformat
ITOR_Post_Print.pdfVersão post-print691.67 kBAdobe PDFview/open
Restrict Access. You can Request a copy!

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


Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2