Internet log data-based software defect failure recognition method and system

Abstract

The invention discloses an internet log data-based software defect failure recognition method and system. The method comprises the following steps: in allusion to internet source system log data and user system source log data, taking the internet source system log data as a training set and extracting features from the training set, and generating a software defect failure log recognition prediction model through machine learning or similarity matching; and analyzing and recognizing the user system source log data to obtain log fragments which represent software defect failures, so as to a software defect failure types in allusion to user system logs. A cloud computing system failure recognition system comprises a multi-line log collection module, an internet source system log classifier and an online log analysis and failure recognition module. According to the method and system disclosed in the invention, the failures, caused by software defects, massive log information recognition can be realized, the failure reasons can be rapidly positioned, the failures during the operation can be recognized and the failure types can be diagnosed, so that the reliability and usability of the cloud computing system can be improved.

Description

technical field [0001] The invention belongs to the technical field of cloud computing, and in particular relates to a software defect fault identification method and system based on Internet log data, which can realize fault identification and diagnosis of a cloud computing system constructed based on open source software, and improve the reliability and reliability of the cloud computing system availability. Background technique [0002] With its on-demand consumption model, cloud computing is gradually widely used in various fields such as finance and business. The high availability of the system in the cloud computing environment is increasingly becoming the key to the maturity of cloud computing technology. However, due to the gradual expansion of the scale of cloud computing systems and the gradual enhancement of heterogeneity, cloud computing systems often fail due to various reasons, such as hardware failures, configuration errors, and software defects, which become ...

AI Technical Summary

Problems solved by technology

[0005] At the same time, on the one hand, the characteristics of the cloud computing system make its log information extremely rich and its scale increases rapidly with the operation of the system; on the other hand, even with the help of automated fault identification tools, system administrators cannot avoid Operators and operators need a certain degree of manual inspection of massive log data to find out the cause of failures. In particular, system failures caused by software defects are difficult to detect, and it is even more difficult to quickly locate and repair them.

This brings massive operating costs and has a huge impact on the reliability and availability of upper-layer services in the cloud computing environment

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