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Measuring change in large enterprise data networks

机译:衡量大型企业数据网络中的变化

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In the management of large enterprise data communication networks, it is difficult to discern the causes of abnormal variations in traffic distributions on the physical network because the underlying logical topology can be very dynamic. This paper uses several graph distance measures to explore whether abnormal changes in logical connectivity and traffic flows can be detected in a sample of real network traffic. Traffic parameters were collected from a network probe attached to a physical link within a large enterprise data network. Localisation techniques were also examined to show where in the logical network most changes occurred.
机译:在大型企业数据通信网络的管理中,很难确定物理网络上流量分布异常变化的原因,因为基础逻辑拓扑可能非常动态。本文使用几种图形距离度量来探讨是否可以在实际网络流量样本中检测到逻辑连接和流量异常变化。流量参数是从连接到大型企业数据网络中的物理链路的网络探针收集的。还检查了本地化技术,以显示逻辑网络中发生最多更改的位置。

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