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Self-adaptive anomaly judgment method and device in real-time anomaly detection system

An anomaly judgment and anomaly detection technology, which is applied in the field of system operation and maintenance, can solve the problems of increasing the cost of manual marking and cannot effectively reflect the dynamic changes of abnormal thresholds, so as to achieve the effect of improving accuracy

Active Publication Date: 2021-03-16
INST OF INFORMATION ENG CHINESE ACAD OF SCI +1
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  • Application Information

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Problems solved by technology

On the one hand, the classification method based on marking sample learning increases the cost of manual marking, on the other hand, it cannot effectively reflect the dynamic changes of abnormal thresholds caused by real-time dynamic changes of KPIs.

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  • Self-adaptive anomaly judgment method and device in real-time anomaly detection system

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Embodiment Construction

[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0028] figure 1 A schematic flowchart of an adaptive anomaly determination method in a real-time anomaly detection system provided by an embodiment of the present invention is shown.

[0029] Such as figure 1 As shown, it specifically includes the following steps:

[0030] S11. Determine the threshold reference value according to the residual i...

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Abstract

The embodiment of the invention provides a self-adaptive anomaly judgment method and device in a real-time anomaly detection system. The method comprises the steps of determining a threshold referencevalue according to a residual index of historical KPI data; determining a real-time adjustment reference value according to the residual index of the current KPI data; according to the threshold reference value and the real-time adjustment reference value, adaptively adjusting an anomaly judgment threshold; and automatically carrying out abnormality judgment according to the abnormality judgmentthreshold. According to the embodiment of the invention, the KPI dynamic threshold can be automatically set, the dynamic change of the abnormal threshold caused by the real-time dynamic change of thesystem is effectively reflected, and the accuracy of abnormality judgment is improved.

Description

technical field [0001] The invention relates to the technical field of system operation and maintenance, in particular to an adaptive abnormality determination method and device in a real-time abnormality detection system. Background technique [0002] In the era of digitalization and informationization, all walks of life need the support of some complex and diverse large-scale software and hardware systems. At the same time, the deployment, operation, and maintenance of these systems require professional operation and maintenance personnel, but traditional operation and maintenance methods cannot efficiently support large-scale system operation and maintenance scenarios. In recent years, driven by academia and industry, Artificial Intelligence for IT Operations (AIOps) has developed rapidly. It applies artificial intelligence technology to the field of operation and maintenance, combined with big data analysis systems and machine learning algorithms from Continuous mining ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00
CPCG06Q10/06393G06Q10/20
Inventor 孙继燕孔令山杨健房晶代良刘志磊林涛
Owner INST OF INFORMATION ENG CHINESE ACAD OF SCI