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Anomaly detection method and device, electronic equipment and computer readable storage medium

A technology of anomaly detection and anomaly score, applied in the field of anomaly detection, can solve problems such as low accuracy and poor real-time performance, and achieve the effect of improving accuracy

Active Publication Date: 2021-10-19
ALIBABA CLOUD COMPUTING LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present application provide an anomaly detection method and device, electronic equipment, and a computer-readable storage medium to solve the defect of low accuracy and poor real-time performance of anomaly detection for services containing multi-dimensional indicators in the prior art

Method used

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  • Anomaly detection method and device, electronic equipment and computer readable storage medium
  • Anomaly detection method and device, electronic equipment and computer readable storage medium
  • Anomaly detection method and device, electronic equipment and computer readable storage medium

Examples

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Embodiment 1

[0029] The solution provided by the embodiment of the present application can be applied to any system with anomaly detection, such as a server system including a chip with anomaly detection function and related components. figure 1 It is a schematic diagram of the application scenario of the anomaly detection scheme provided by the embodiment of the present application, figure 1 The shown scene is only one of the applicable examples of the technical solution of the present application.

[0030] With the development of cloud technology, more and more jobs are changed from offline to online execution. Then, with the increase of online services, users have higher and higher requirements for the quality of online services, especially for the continuity and stability of online services. Users hope to keep abreast of various abnormal events, especially sudden Abnormal events that affect the operation of online services. Especially when online services are becoming more and more c...

Embodiment 2

[0094] figure 2 It is a flow chart of an embodiment of the anomaly detection method provided in this application. The method may be executed by various terminals or server devices with anomaly detection capabilities, or devices or chips integrated on these devices. like figure 2 As shown, the anomaly detection method may include the following steps:

[0095] S201. Acquire multiple state data sequences of a target service.

[0096] In the embodiment of this application, it can be obtained from, for example, figure 1 For example, the operation data of the server system is acquired in the database 1 shown in . In particular, multiple state data sequences of the target service within a certain period of time may be acquired, and each state data sequence may correspond to an indicator characterizing the target service.

[0097] S202. Group the multiple state data sequences according to the correlation between the state indicators, so as to group the state data sequences of th...

Embodiment 3

[0110] image 3 It is a flow chart of an embodiment of the anomaly detection method provided in this application. The execution body of the method may be various terminals or server devices with anomaly detection capability, or may be devices or chips integrated on these devices. like image 3 As shown, the anomaly detection method may include the following steps:

[0111] S301. Acquire multiple state data sequences of a target service.

[0112] In the embodiment of this application, it can be obtained from, for example, figure 1 For example, the operation data of the server system is acquired in the database 1 shown in . In particular, multiple state data sequences of the target service within a certain period of time may be acquired, and each state data sequence may correspond to an indicator characterizing the target service.

[0113] S302. Perform time-series separation processing on the status data sequence of each indicator to obtain a residual item of the indicator....

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Abstract

The invention discloses an anomaly detection method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring a plurality of state data sequences of a target service; grouping the plurality of state data sequences according to the correlation among state indexes so as to divide the state data sequences of the state indexes with the correlation into the same group; respectively using at least two anomaly detection models to calculate anomaly scores for the state data sequences in each group, so as to obtain an overall anomaly detection score of the target service; and determining whether the state of the target service is abnormal or not according to the overall anomaly detection score. According to the embodiment of the invention, the anomaly detection score can be calculated based on the indexes with correlation, the accuracy of the anomaly detection result is improved, and the data of the indexes with correlation are divided into one group, so that the root cause index mainly causing the anomaly in the anomaly detection result can be more accurately determined.

Description

technical field [0001] The present application relates to the technical field of anomaly detection, and in particular to an anomaly detection method and device, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the development of cloud technology, more and more jobs are changed from offline to online execution. Then, with the increase of online services, users have higher and higher requirements for the quality of online services, especially for the continuity and stability of online services. Users hope to keep abreast of various abnormal events, especially sudden Abnormal events that affect the operation of online services. Especially when online services are becoming more and more complex, various events are more or less related to each other, which means that the system that provides cloud services needs to collect multi-dimensional indicators for real-time monitoring when performing monitoring , such as system indicators,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/26
CPCH04L41/065H04L43/0817
Inventor 王冕羌毅黄建敏朱婉怡
Owner ALIBABA CLOUD COMPUTING LTD
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