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K-Shell Decomposition of AS Level Multigraphs

机译:K-壳分解为水平多层物

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The Internet is one of the immense human-engineered systems and understanding of the topology can be helpful for network engineers and researchers. Categorization of Autonomous Systems (ASes) plays an essential role in understanding the structure and evolution of the Internet. However, the traditional categorization exhibits variation in different studies, contains ambiguity, involves subjectiveness, and sometimes does not match the reality. A better approach to classify ASes is defining the AS level topology maps as graphs and taking advantage of the graph properties through k-shell decomposition. However, the proposed solutions neither capture the parallel connections nor incorporate the varying business relations among the ASes. Abstracting ASes without any internal structure is an oversimplification since the ASes in the Internet span over various geographic regions and often cover the same regions in part or whole. In this work, we introduce k-shell decomposition on AS level multigraphs and comparison with AS level graphs. The decomposition is based on pruning the graphs according to the nodes’ connectivity pattern to generate a layered structure of the Internet. In our experiments, we analyze the structure of the shells and the connectivity structure of the Internet. Additionally, we compare top-20 ASes to understand the central core of the Internet. Our comparative results help us to understand the structure of the Internet better.
机译:互联网是巨大的人工工程系统之一,对拓扑的理解可能有助于网络工程师和研究人员。自主系统(ASES)的分类在理解互联网的结构和演变方面发挥着重要作用。然而,传统分类表现出不同研究的变化,含有模糊性,涉及主观性,有时与现实不符。更好地分类ASE的方法是将AS级别拓扑映射定义为图形,并通过K-shell分解利用图形属性。然而,所提出的解决方案既不捕获平行连接也不纳入ases之间的不同业务关系。没有任何内部结构的抽象原因是因为互联网跨度在各种地理区域上的ases,并且通常部分或全部覆盖相同的区域。在这项工作中,我们将K-shell分解作为水平多层游物,并与水平图进行比较。分解基于根据节点的连接模式修剪图形以生成因特网的分层结构。在我们的实验中,我们分析了屏幕的结构和互联网的连接结构。此外,我们可以比较前20个以了解互联网的中心核心。我们的比较结果有助于我们更好地了解互联网的结构。

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