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Computer-based systems and/or computing devices configured for root cause analysis of computing incidents using machine learning

机译:基于计算机的系统和/或计算设备,用于使用机器学习计算事件的根本原因分析

摘要

An example method includes receiving incident data for historical incidents of downtime or interrupted service. The incident data includes identification information about one or more first computing applications, devices, or services affected by the downtime or the interrupted service. The incident data further includes timing information relating to the historical incidents and version history information of the one or more first computing applications, devices, or services. The method further includes receiving root cause data indicating a cause of the historical incidents and receiving action data indicating a corrective or preventative action taken or to be taken in response to each of the historical incidents. The method further includes training a machine learning algorithm using the incident, root cause, and action data to create a trained model configured to determine a root cause and a new corrective or preventative action for a new incident.
机译:示例方法包括接收停机或中断服务的历史事件的入射数据。 事件数据包括关于由停机或中断服务影响的一个或多个第一计算应用程序,设备或服务的标识信息。 事件数据还包括与一个或多个第一计算应用程序,设备或服务的历史事件和版本历史信息有关的时序信息。 该方法还包括接收根本导致数据,指示历史事件的原因和接收指示所采取的校正或预防动作或响应于每个历史事件而被采取的动作数据。 该方法还包括使用事件,根本原因和操作数据训练机器学习算法,以创建被配置为确定新事件的根本原因和新的纠正或预防动作的训练模型。

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