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Service availability: a new approach to characterize IP backbone topologies

机译:服务可用性:一种对IP骨干拓扑结构表征的新方法

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Traditional SLAs, defined by average delay or packet loss, often camouflage the instantaneous performance perceived by end-users. We define a set of metrics for service availability to quantify the performance of IP backbone networks and capture the impact of routing dynamics on packet forwarding. Given a network topology and its link weights, we propose a novel technique to compute the associated service availability by taking into account transient routing dynamics and operational conditions, such as BGP table size and traffic distributions. Even though there are numerous models for characterizing topologies, none of them provide insights on the expected performance perceived by end customers. Our simulations show that the amount of service disruption experienced by similar networks (i.e., with similar intrinsic properties such as average out-degree or network diameter) could be significantly different, making it imperative to use new metrics for characterizing networks. In the second part of the paper, we derive goodness factors based on service availability viewed from three perspectives: ingress node (from one node to many destinations), link (traffic traversing a link), and network-wide (across all source-destination pairs). We show how goodness factors can be used in various applications and describe our numerical results.
机译:传统的SLA,由平均延迟或数据包丢失定义,通常伪装最终用户感知的瞬时性能。我们定义了一组测量标准,以实现服务可用性,以量化IP骨干网的性能,并捕获路由动态对数据包转发的影响。鉴于网络拓扑及其链路权重,我们提出了一种新颖的技术来计算相关的服务可用性,通过考虑到瞬态路由动态和操作条件,例如BGP表大小和流量分布。尽管有许多用于表征拓扑的模型,但它们都没有提供关于最终客户所感知的预期性能的见解。我们的模拟表明,相似网络经历的服务中断量(即,具有与平均出路或网络直径相似的内在属性)可能会显着差异,使得使用新度量来表征网络。在本文的第二部分中,我们基于从三个角度查看的服务可用性导出了善因素:Ingress节点(从一个节点到许多目的地),链接(遍历链接的流量),以及网络范围内(跨所有源目标对)。我们展示了善因素如何在各种应用中使用并描述我们的数值结果。

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