首页> 外国专利> Apparatus and method of leveraging semi-supervised machine learning principals to perform root cause analysis and derivation for remediation of issues in a computer environment

Apparatus and method of leveraging semi-supervised machine learning principals to perform root cause analysis and derivation for remediation of issues in a computer environment

机译:利用半监督机器学习原理执行根本原因分析和推导以补救计算机环境中的问题的设备和方法

摘要

Embodiments of the innovation relate to a host device having a memory and a processor, the host device configured to determine an anomaly associated with an attribute of a computer environment resource of the computer infrastructure. The host device is configured to correlate an object associated with the attribute of the detected anomaly with a related object of the computer infrastructure. The host device is configured to determine a root cause probability for each object of the correlated objects, the root cause probability identifying a probability of the correlated object functioning as a cause of the detected anomaly. The host device is configured to output an identification of a root object associated with the anomaly based upon the identified root cause probability.
机译:本发明的实施例涉及具有存储器和处理器的主机设备,该主机设备被配置为确定与计算机基础设施的计算机环境资源的属性相关联的异常。主机设备被配置为将与检测到的异常的属性相关联的对象与计算机基础设施的相关对象相关联。主机设备被配置为确定相关对象中的每个对象的根本原因概率,该根本原因概率标识相关对象用作检测到的异常的原因的概率。主机设备被配置为基于所识别的根本原因概率来输出与异常相关联的根本对象的识别。

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