Dynamic alarm grading method and device, electronic equipment and storage medium

A dynamic and algorithmic technology, applied in electrical digital data processing, biological neural network model, semantic analysis, etc., can solve the problems of low accuracy of alarm grading method, large amount of triggering, and labor consumption, so as to improve the efficiency of fault resolution. , the effect of high grading accuracy

Active Publication Date: 2020-06-26
北京必示科技有限公司
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AI Technical Summary

Problems solved by technology

However, even so, the trigger volume of serious alarms is still large
In addition, it is difficult to manually define and maintain rules with a unified standard. Switching is very labor-intensive. The rule-based alarm grading method is not accurate and cannot adapt to the dynamic changes of the system.

Method used

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  • Dynamic alarm grading method and device, electronic equipment and storage medium
  • Dynamic alarm grading method and device, electronic equipment and storage medium
  • Dynamic alarm grading method and device, electronic equipment and storage medium

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Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0050] Such as figure 1 As shown, the technical solution of the present invention is divided into two stages of offline training and online sorting. In the offline training phase, since work orders are generally created for serious alarms and historical alarm processing records are saved, the severity scores of historical alarm data can be obtained as labels according to the work orders in historical data; based on the idea of ​​data fusion and feature fusion , extract features from the alarm data and indicator data of the historical data to obtain feature vectors, which can be used to represent the abnormality of the alarm; according to the obtained labels and feature vectors, the sorting model is trained to obtain the trainin...

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Abstract

The invention discloses a dynamic alarm grading method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: training a sorting model by using historical data of alarms to obtain a training model; and sorting the online data of the alarms by using the training model to obtain alarm grades. According to the method, a dynamic alarm gradingproblem is modeled into a sorting problem based on machine learning for the first time, alarm severity grading is given in an online and self-adaptive mode based on a training model, grading accuracyis high, and therefore engineers can process serious alarms preferentially according to alarm grading, and fault solving efficiency is improved.

Description

technical field [0001] The present application relates to the field of system alarms, and in particular to a dynamic alarm grading method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] Large-scale online serving systems are composed of many components to support a large number of concurrent users. In order to ensure service quality and user experience, it is necessary to collect various monitoring data from various components, such as indicators, logs, call chains, etc., and manually set various alarm rules. Once the monitoring data violates these alarm rules (for example, the CPU utilization exceeds 80%, the keyword fail appears in the log file, etc.) will generate an alarm and send it to the engineer for inspection. If the alarm is serious, the engineer will create a work order for troubleshooting and diagnosis. Alarm data can contain multiple attributes, such as alarm time, alarm content, alarm type, alarm source syste...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/32G06F16/33G06F40/30G06N3/04
CPCG06F11/327G06F16/3344G06N3/044G06N3/045
Inventor 赵能文刘大鹏隋楷心张文池
Owner 北京必示科技有限公司
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