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Characterization of Failures in an Operational IP Backbone Network

机译:运营IP骨干网中故障的表征

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As the Internet evolves into a ubiquitous communication infrastructure and supports increasingly important services, its dependability in the presence of various failures becomes critical. In this paper, we analyze IS-IS routing updates from the Sprint IP backbone network to characterize failures that affect IP connectivity. Failures are first classified based on patterns observed at the IP-layer; in some cases, it is possible to further infer their probable causes, such as maintenance activities, router-related and optical layer problems. Key temporal and spatial characteristics of each class are analyzed and, when appropriate, parameterized using well-known distributions. Our results indicate that 20% of all failures happen during a period of scheduled maintenance activities. Of the unplanned failures, almost 30% are shared by multiple links and are most likely due to router-related and optical equipment-related problems, respectively, while 70% affect a single link at a time. Our classification of failures reveals the nature and extent of failures in the Sprint IP backbone. Furthermore, our characterization of the different classes provides a probabilistic failure model, which can be used to generate realistic failure scenarios, as input to various network design and traffic engineering problems.
机译:随着Internet演变为无处不在的通信基础结构并支持越来越重要的服务,在出现各种故障时其可靠性变得至关重要。在本文中,我们分析了来自Sprint IP骨干网的IS-IS路由更新,以表征影响IP连接的故障。首先根据在IP层观察到的模式对故障进行分类;在某些情况下,有可能进一步推断出它们的可能原因,例如维护活动,路由器相关的和光学层问题。分析每个类别的关键时间和空间特征,并在适当时使用众所周知的分布进行参数化。我们的结果表明,所有故障中的20%发生在计划的维护活动期间。在计划外的故障中,将近30%的故障由多条链路共享,最有可能分别是与路由器相关的问题和与光学设备相关的问题,而70%的故障同时影响一条链路。我们对故障的分类揭示了Sprint IP主干网中故障的性质和程度。此外,我们对不同类别的描述提供了一个概率故障模型,可用于生成实际的故障场景,作为各种网络设计和流量工程问题的输入。

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