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IDENTIFICATION OF COMPUTER PERFORMANCE ANOMALIES BASED ON COMPUTER KEY PERFORMANCE INDICTORS

机译:基于计算机关键性能指标的计算机性能异常识别

摘要

In exemplary embodiments, a computer system detects performance anomalies for user computer services. Physical databases convert physical database KPIs into logical database KPI vectors for individual user services and individual time intervals. Physical application servers convert physical application server KPIs into logical application server KPI vectors for the individual user services and time intervals. Physical web servers convert physical web server KPIs into logical web server KPI vectors for the individual user services and time intervals. A KPI server combines the logical database KPI vectors, the logical application server KPI vectors, and the logical web server KPI vectors for individual time intervals into user service KPI vectors for the individual user services during the time intervals. The KPI server detects outlier user service KPI vectors as compared to normal user service KPI vectors and indicates corresponding computer performance anomalies for the user services.
机译:在示例性实施例中,计算机系统检测用户计算机服务的性能异常。物理数据库将物理数据库KPI转换为逻辑数据库KPI向量,以用于单个用户服务和单个时间间隔。物理应用程序服务器将物理应用程序服务器KPI转换为用于各个用户服务和时间间隔的逻辑应用程序服务器KPI向量。物理Web服务器将物理Web服务器KPI转换为用于单个用户服务和时间间隔的逻辑Web服务器KPI向量。 KPI服务器将各个时间间隔的逻辑数据库KPI向量,逻辑应用程序服务器KPI向量和逻辑Web服务器KPI向量组合为该时间间隔内各个用户服务的用户服务KPI向量。与正常用户服务KPI向量相比,KPI服务器检测到异常用户服务KPI向量,并指示用户服务的相应计算机性能异常。

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