公开(公告)号：US10229028B2

公开(公告)日：2019-03-12

申请号：US14659525

申请日：2015-03-16

Applicant: CA, INC.

Inventor： Mark Jacob Addleman ,  Jay Martin Cohen ,  Thomas Michael Repede ,  Gregory Neil MacKinnon

IPC: G06F11/07 ,  G06F11/30 ,  G06F11/32 ,  G06F11/34

Abstract: A system for managing application performance performs a learning phase and a monitoring phase. One embodiment of the learning phase comprises monitoring performance of multiple components of a software system to create first monitored component data for the multiple components and automatically identifying correlation between the components and a performance metric based on the first monitored data. The monitoring phase comprises monitoring performance of the multiple components of the software system to create second monitored component data for the multiple components, using the identified correlation to predict the performance metric, calculating the actual performance metric based on the second monitored component data, and reporting a performance problem if the actual performance metric differs from the predicted performance metric by more than a threshold.

公开(公告)号：US20160274990A1

公开(公告)日：2016-09-22

申请号：US14659525

申请日：2015-03-16

Applicant: CA, INC.

Inventor： Mark Jacob Addleman ,  Jay Martin Cohen ,  Thomas Michael Repede ,  Gregory Neil MacKinnon

IPC: G06F11/34 ,  G06F11/30

CPC classification number: G06F11/3409 ,  G06F11/079 ,  G06F11/3003 ,  G06F11/3072 ,  G06F11/32 ,  G06F11/3428 ,  G06F11/3452 ,  G06F11/3466 ,  G06F2201/81 ,  G06F2201/865

Abstract: A system for managing application performance performs a learning phase and a monitoring phase. One embodiment of the learning phase comprises monitoring performance of multiple components of a software system to create first monitored component data for the multiple components and automatically identifying correlation between the components and a performance metric based on the first monitored data. The monitoring phase comprises monitoring performance of the multiple components of the software system to create second monitored component data for the multiple components, using the identified correlation to predict the performance metric, calculating the actual performance metric based on the second monitored component data, and reporting a performance problem if the actual performance metric differs from the predicted performance metric by more than a threshold.

Abstract translation: 用于管理应用程序性能的系统执行学习阶段和监视阶段。 学习阶段的一个实施例包括监视软件系统的多个组件的性能以创建多个组件的第一监视组件数据，并且基于第一监视数据自动识别组件之间的相关性和性能度量。 监测阶段包括监测软件系统的多个组件的性能，以便为多个组件创建第二监视组件数据，使用所识别的相关性来预测性能度量，基于第二监视组件数据计算实际性能度量，以及报告 性能问题，如果实际性能指标与预测的性能度量不同超过阈值。