Application log analysis method and device

An analysis method and log technology, applied in the field of electronic information, can solve the problems of low analysis efficiency, mixed logs, and low analysis accuracy, and achieve the effect of improving efficiency and accuracy and accurate prediction model.

Pending Publication Date: 2022-02-22
CHINA MOBILE GROUP ZHEJIANG +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, when analyzing the application logs, it is impossible to classify the logs quickly and efficiently, resulting in the mixing of different types of logs, the analysis efficiency is low, and the analysis accuracy is not high

Method used

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  • Application log analysis method and device
  • Application log analysis method and device
  • Application log analysis method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] figure 1 A flow chart of a method for analyzing an application log provided by Embodiment 1 of the present invention is shown.

[0056] like figure 1 As shown, the method includes:

[0057] Step S110: Perform similarity calculation on the collected application logs, and perform filtering processing on similar application logs according to the similarity calculation results.

[0058] Among them, multiple collected application logs are used as log samples to train the prediction model. In order to ensure the purity of the samples, similar application logs need to be filtered to improve the efficiency of model training. Specifically, the calculation method of the similarity can be flexibly set by those skilled in the art, for example, the calculation can be performed by a similarity algorithm, or several log categories contained in the application logs can also be extracted and determined according to the extracted log categories.

[0059] Step S120: Train the filtered ...

Embodiment 2

[0067] figure 2 A flow chart of a method for analyzing an application log provided by Embodiment 2 of the present invention is shown.

[0068] like figure 2 As shown, the method includes:

[0069] Step S210: Carry out similarity calculation for multiple collected application logs.

[0070] Specifically, for each application log, extract a preset number of log categories contained in the application log, and add log tags to the application log according to the extracted log categories; perform word segmentation for multiple application logs under the same log tag Processing, determine the log word vector of each application log according to the word segmentation result, and calculate the similarity score between each application log according to the log word vector of each application log. Wherein, the preset number of log classes contained in the application log includes: three JAVA classes located at the head of the application log.

[0071] Among them, when calculating...

Embodiment 3

[0126] image 3 It shows a schematic structural diagram of an application log analysis device provided in Embodiment 3 of the present invention, specifically including:

[0127] The filtering module 31 is adapted to perform similarity calculation on multiple collected application logs, and perform filtering processing on similar application logs according to similarity calculation results;

[0128] The training module 32 is adapted to train the filtered application logs through the first algorithm and the second algorithm to obtain multiple prediction models;

[0129] The classification module 33 is adapted to input the application logs to be classified into the plurality of prediction models, and determine the classification results of the application logs to be classified according to the output results of the plurality of prediction models;

[0130] The analysis module 34 is adapted to analyze the application log to be classified according to the classification result of t...

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PUM

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Abstract

The embodiment of the invention discloses an application log analysis method and device, electronic equipment, and a storage medium, and relates to the field of electronic information. The application log analysis method comprises the following steps: conducting similarity calculation on multiple collected application logs, and conducting filtering processing on the similar application logs according to a similarity calculation result; training the filtered application logs through a first algorithm and a second algorithm to obtain a plurality of prediction models; inputting to-be-classified application logs into the plurality of prediction models, and determining classification results of the to-be-classified application logs according to output results of the prediction models; analyzing the to-be-classified application logs according to the classification results of the to-be-classified application logs. According to the method, similar application logs can be filtered out, so that prediction models obtained through training can be more accurate, the log classification condition is accurately determined based on the prediction models, and log analysis is performed according to the log classification condition. According to the mode, the log analysis efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the field of electronic information, in particular to an analysis method and device for an application log. Background technique [0002] At present, with the rapid development of Internet technology, artificial intelligence technology has gradually spread to various fields of computers, such as intelligent recommendation, intelligent face recognition, intelligent voice and so on. At the same time, with the increasing complexity of computer systems and the explosive growth of network data, the operation and maintenance of the network has gradually become more complex and more difficult. Therefore, in the field of operation and maintenance, it is hoped that artificial intelligence technology can be introduced to realize intelligent operation and maintenance. ,Improve efficiency. For this reason, the efficiency of daily operation and maintenance work can be improved through intelligent analysis of application logs. [0003] In ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F40/284
CPCG06F16/35G06F40/284
Inventor 刘苗苗胡林熙蒋通通叶晓龙邱佳
Owner CHINA MOBILE GROUP ZHEJIANG
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