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RANKING NETWORK ANOMALIES IN AN ANOMALY CLUSTER
RANKING NETWORK ANOMALIES IN AN ANOMALY CLUSTER
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机译:异常集群中的排名网络异常
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摘要
The technology disclosed relates to organizing network performance metrics into historical anomaly dependency data. In particular, it relates to calculating cascading failure relationships between correlated anomalies detected in a network. It also relates to illustrating to a network administrator causes of system failure by laying out the graph to show a progression over time of the cascading failures and identify root causes of the cascading failures. It also relates to ranking anomalies and anomaly clusters in the network based on attributes of the resources exhibiting anomalous performances and attributes of the anomalous performances. It further relates to depicting evolution of resource failures across a network by visually coding impacted resources and adjusting the visual coding over time and allowing replay over time to visualize propagation of anomalous performances among the impacted resource.
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