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Topological analysis of cloud service connectivity

机译:云服务连接的拓扑分析

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Relying on services in the cloud involves manifold availability risks and concerns. This article focuses on the network reachability of cloud services. We present a study on cloud outages and causes, and analyze the topological connectivity of major cloud service providers (CSPs) by graph-based measures. Our approach is based on the construction and integration of an empirical dataset describing the connections between Autonomous Systems (ASs) of organizations that form the Internet backbone. According to our findings, though the ASs of CSPs generally appear to be better connected than an average AS, they also vastly differ in several connectivity measures, sometimes by more than an order of magnitude. Our results help to identify well-connected CSPs and CSPs that could potentially suffer more from Internet outages, if no additional path redundancy is provided. Our approach can be used by CSPs to assess connectivity beyond their own premises. It can also support cloud service customers during benchmarking and selection of CSPs when high availability is a critical requirement.
机译:依赖云中的服务会涉及多种可用性风险和担忧。本文重点介绍云服务的网络可达性。我们提出了一项关于云中断和原因的研究,并通过基于图的措施来分析主要云服务提供商(CSP)的拓扑连接。我们的方法是基于经验数据集的构建和集成,该数据集描述了构成Internet主干的组织的自治系统(AS)之间的连接。根据我们的发现,尽管CSP的AS通常看起来比普通的AS具有更好的连接性,但是它们在几种连接性度量上也有很大的差异,有时甚至相差一个数量级。我们的结果有助于确定连接良好的CSP,如果没有提供额外的路径冗余,则可能会因Internet中断而遭受更多损失的CSP。 CSP可以使用我们的方法来评估其自身场所之外的连通性。当对高可用性至关重要时,它还可以在基准测试和选择CSP期间为云服务客户提供支持。

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