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Tuning Topology Generators Using Spectral Distributions

机译:使用频谱分布调整拓扑生成器

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摘要

An increasing number of synthetic topology generators are available, each claiming to produce representative Internet topologies. Every generator has its own parameters, allowing the user to generate topologies with different characteristics. However, there exist no clear guidelines on tuning the value of these parameters in order to obtain a topology with specific characteristics. In this paper we optimize the parameters of several topology generators to match a given Internet topology. The optimization is performed either with respect to the link density, or to the spectrum of the normalized Laplacian matrix. Contrary to approaches in the literature that rely only on the largest eigenvalues, we take into account the set of all eigenvalues. However, we show that on their own the eigenvalues cannot be used to construct a metric for optimizing parameters. Instead we present a weighted spectral method which simultaneously takes into account all the properties of the graph.
机译:越来越多的合成拓扑生成器可用,每个生成器都声称可以产生代表性的Internet拓扑。每个生成器都有自己的参数,从而允许用户生成具有不同特征的拓扑。但是,在调整这些参数的值以获得具有特定特性的拓扑方面,尚无明确的指南。在本文中,我们优化了几个拓扑生成器的参数以匹配给定的Internet拓扑。关于链路密度或标准化的拉普拉斯矩阵的频谱执行优化。与文献中仅依赖于最大特征值的方法相反,我们考虑了所有特征值的集合。但是,我们表明,不能单独使用特征值来构建用于优化参数的度量。相反,我们提出了一种加权光谱方法,该方法同时考虑了图的所有属性。

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