论文标题
全球互联网公众互连能力：复杂的网络分析
Global Internet public peering capacity of interconnection: a complex network analysis
论文作者
论文摘要
自主系统（AS）级别交换的大量和增长的一部分发生在Internet交换点（IXPS）。本文利用PeeringDB是一个数据库，该数据库为IXPS的ASES的全局互连提供了部分但合理的视图，以建模一个复杂的图表，从而使关键的Internet peacering播放器及其交互的表征随着时间的推移而言。我们将PeeringDB快照建模为称为PDB C-Graph的加权的有向二分图，可使用可用的元数据捕获IXPS上的端口大小ASES。这种新颖的互联网模型显示出图像复杂网络的相关特征，该特征将在地理影响区域中分组和IXP。从该模型中，我们提取了公众对待的中心参与者，例如超大型内容提供者和主要的区域交通接收器。最重要的是，该图模型开辟了使用降低的Google矩阵应用光谱分析的方法，以根据纯连接信息来检索ASE之间可能相互作用的强度。作为说明，我们检索了对等网络的及时演变，以显示中心内容和云提供商如何在Covid-19大流行期间增加对眼球网络的影响力。
A massive and growing part of Autonomous System (AS)-level traffic exchanges takes place at Internet Exchange Points (IXPs). This paper leverages PeeringDB, a database providing a partial but reasonable view of the global interconnection of ASes at IXPs, to model a complex graph enabling the characterization of the key Internet peering players and their interactions over time. We model a PeeringDB snapshot as a weighted directed bipartite graph, called the pDB c-graph, that captures the port size ASes possess at IXPs using available metadata. This novel model of the Internet is shown to picture relevant features of a complex network that groups ASes and IXPs in geographical areas of influence. From this model, we extract central players of public peering such as hypergiant AS content providers and major regional traffic receivers. Most importantly, this graph model opens the way to apply spectral analysis using reduced Google matrix in order to retrieve the intensity of possible interactions between ASes on the basis of pure connectivity information. As an illustration, we retrieve the timely evolution of the peering network to show how the central content and cloud providers have increased their reach to eyeball networks during Covid-19 pandemic.
