How Cloud Traffic Goes Hiding: A Study of Amazon's Peering Fabric

B. Yeganeh, Ramakrishnan Durairajan, R. Rejaie, W. Willinger
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引用次数: 26

Abstract

The growing demand for an ever-increasing number of cloud services is profoundly transforming the Internet's interconnection or peering ecosystem, and one example is the emergence of "virtual private interconnections (VPIs)". However, due to the underlying technologies, these VPIs are not publicly visible and traffic traversing them remains largely hidden as it bypasses the public Internet. In particular, existing techniques for inferring Internet interconnections are unable to detect these VPIs and are also incapable of mapping them to the physical facility or geographic region where they are established. In this paper, we present a third-party measurement study aimed at revealing all the peerings between Amazon and the rest of the Internet. We describe our technique for inferring these peering links and pay special attention to inferring the VPIs associated with this largest cloud provider. We also present and evaluate a new method for pinning (i.e., geo-locating) each end of the inferred interconnections or peering links. Our study provides a first look at Amazon's peering fabric. In particular, by grouping Amazon's peerings based on their key features, we illustrate the specific role that each group plays in how Amazon peers with other networks.
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云流量是如何隐藏起来的:对亚马逊对等网络的研究
对越来越多的云服务的需求不断增长,正在深刻改变互联网互联或对等生态系统,其中一个例子是“虚拟专用互联(vpi)”的出现。然而,由于底层技术的原因,这些vpi是不公开可见的,穿越它们的流量在很大程度上仍然是隐藏的,因为它绕过了公共互联网。特别是,现有的推断互联网互连的技术无法检测到这些虚拟网关,也无法将它们映射到建立它们的物理设施或地理区域。在本文中,我们提出了一个第三方测量研究,旨在揭示亚马逊和其他互联网之间的所有差距。我们描述了推断这些对等链路的技术,并特别注意推断与这个最大的云提供商相关的vpi。我们还提出并评估了一种用于固定(即,地理定位)推断互连或对等链路的每端的新方法。我们的研究提供了对亚马逊对等网络结构的初步了解。特别是,通过根据关键特征对亚马逊的对等点进行分组,我们说明了每个组在亚马逊如何与其他网络对等时所扮演的特定角色。
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