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dc.contributor.authorHaddadi, Hen_US
dc.contributor.authorFay, Den_US
dc.contributor.authorJamakovic, Aen_US
dc.contributor.authorMaennel, Oen_US
dc.contributor.authorMoore, AWen_US
dc.contributor.authorMortier, Ren_US
dc.contributor.authorRio, Men_US
dc.contributor.authorUhlig, Sen_US
dc.date.accessioned2012-12-06T14:39:42Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/3000
dc.descriptionThis is the accepted version of 'Beyond Node Degree: Evaluating AS Topology Models', archived originally at arXiv:0807.2023v1 [cs.NI] 13 July 2008.en_US
dc.description.abstractMany models have been proposed to generate Internet Autonomous System (AS) topologies, most of which make structural assumptions about the AS graph. In this paper we compare AS topology generation models with several observed AS topologies. In contrast to most previous works, we avoid making assumptions about which topological properties are important to characterize the AS topology. Our analysis shows that, although matching degree-based properties, the existing AS topology generation models fail to capture the complexity of the local interconnection structure between ASs. Furthermore, we use BGP data from multiple vantage points to show that additional measurement locations significantly affect local structure properties, such as clustering and node centrality. Degree-based properties, however, are not notably affected by additional measurements locations. These observations are particularly valid in the core. The shortcomings of AS topology generation models stems from an underestimation of the complexity of the connectivity in the core caused by inappropriate use of BGP data.en_US
dc.language.isoen_USen_US
dc.subjectcs.NIen_US
dc.subjectcs.NIen_US
dc.subjectC.2.1; I.6.4en_US
dc.titleBeyond Node Degree: Evaluating AS Topology Modelsen_US
dc.typeArticle
pubs.author-urlhttp://arxiv.org/abs/0807.2023v1en_US
pubs.notesNot knownen_US


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