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Mixing Biases: Structural Changes in the AS Topology Evolution

机译:混合偏见:作为拓扑演化的结构变化

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In this paper we study the structural evolution of the AS topology as inferred from two different datasets over a period of seven years. We use a variety of topological metrics to analyze the structural differences revealed in the AS topologies inferred from the two different datasets. In particular, to focus on the evolution of the relationship between the core and the periphery, we make use of a recently introduced topological metric, the weighted spectral distribution. We find that the traceroute dataset has increasing difficulty in sampling the periphery of the AS topology, largely due to limitations inherent to active probing. Such a dataset has too limited a view to properly observe topological changes at the AS-level compared to a dataset largely based on BGP data. We also highlight limitations in current measurements that require a better sampling of particular topological properties of the Internet. Our results indicate that the Internet is changing from a core-centered, strongly customer-provider oriented, disassortative network, to a soft-hierarchical, peering-oriented, assortative network.
机译:在本文中,我们研究了从两次不同的数据集推断出拓扑的结构演变。我们使用各种拓扑指标来分析从两个不同数据集推断的作为拓扑中显示的结构差异。特别是,要专注于核心与周边之间关系的演变,我们利用最近引入的拓扑度量,加权光谱分布。我们发现Traceroute DataSet在对作为主动探测所固有的限制所固有的限制,在对作为拓扑的外围的外围进行了难度难度。这种数据集具有过于有限的视图,以便在基于BGP数据的基本上与数据集相比正确地遵守AS级别的拓扑变化。我们还突出显示当前测量的限制,这些测量需要更好地采样互联网的拓扑属性。我们的结果表明,互联网正在从核心为中心,强烈的客户提供的辅音网络转换为软层级,凝视的型号的分类网络。

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