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Method and apparatus for root cause and critical pattern prediction using virtual directed graphs

机译:使用虚拟有向图进行根本原因和关键模式预测的方法和设备

摘要

An approach to root cause determination in a complex systems based on monitoring and event data is disclosed. It includes a historical analysis of events with their probabilistic correlations. Applying information measures between the random variables which embody those events one can detect origins of problems and generate real-time recommendations for their locations in a hierarchical system. Estimation of system bottlenecks, as well as the risk of “black swan”-type events are also computed. The processes are based on a statistical processing of a virtual directed graph produced from historical events.
机译:公开了一种基于监视和事件数据在复杂系统中确定根本原因的方法。它包括对事件及其概率相关性的历史分析。在体现这些事件的随机变量之间应用信息度量,可以检测问题的根源并为它们在分层系统中的位置生成实时建议。还计算系统瓶颈的估计以及“黑天鹅”型事件的风险。这些过程基于对由历史事件产生的虚拟有向图的统计处理。

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