Towards two-dimensional measurement of highly active IP prefixes in BGP

Yuan Yang, Mingwei Xu, Meng Chen
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Abstract

Measuring the instability of IP prefixes in BGP is critical for network operation and management. In particular, identifying and investigating the most active prefixes assist in detecting, analyzing, and understanding network problems. The traditional metric to assess the activeness of a prefix is the quantity of BGP update. However, this metric may be strongly affected by monitor-local events: the large amount of updates for a highly active prefix may be caused by an event with rather limited impact area. To cope with the issue, we propose a two-dimensional method: in addition to the traditional metric, Update Quantity (UQ), we introduce Update Visibility (UV). The key idea is that we mark a prefix as a `Highly Active Prefix' only when the large number of updates for it are widely observable. We define five types of active prefixes and propose a measurement method. We apply the method to 947 GB updates; the measurement results show that the two-dimensional method provides a more comprehensive picture of the highly active prefixes in the Internet than traditional single-metric schemes, and provides insights into network operations.
探讨BGP中高活跃IP前缀的二维测量方法
测量BGP中IP前缀的不稳定性对网络的运行和管理至关重要。特别是,识别和研究最活跃的前缀有助于检测、分析和理解网络问题。传统的衡量前缀活跃度的指标是BGP更新的次数。然而,该指标可能会受到监视器本地事件的严重影响:高度活跃的前缀的大量更新可能是由影响区域相当有限的事件引起的。为了解决这个问题,我们提出了一种二维方法:除了传统的度量,更新量(UQ),我们引入了更新可见性(UV)。关键的想法是,只有当大量的更新被广泛观察到时,我们才将前缀标记为“高度活跃的前缀”。我们定义了五种主动前缀类型,并提出了一种测量方法。我们将此方法应用于947 GB的更新;测量结果表明,二维方法比传统的单度量方案更全面地反映了互联网中高度活跃的前缀,并提供了对网络运营的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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