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

A software defect and fault identification technology, applied in the field of cloud computing, can solve the problems of high difficulty in system fault detection, massive operating costs, reliability and availability of upper-layer services, etc.

Active Publication Date: 2016-06-08
PEKING UNIV
View PDF2 Cites 99 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 manua

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Internet log data-based software defect failure recognition method and system
  • Internet log data-based software defect failure recognition method and system
  • Internet log data-based software defect failure recognition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0071]The present invention provides a software defect fault identification method and system based on Internet log data, which extracts the intersection of system operation information-log from the huge knowledge base of the Internet, and uses the knowledge in the Internet to identify faults in the cloud computing system through log mining with diagnosis. The present invention carries out fault identification and diagnosis to the cloud computing system by analyzing and mining the log information in the Internet developer community and the question-and-answer website, and specifically obtains data from different data sources (such as software defect libraries in the open source software community, question-and-answer websites, etc.) from the Internet. ) in the cloud computing system log information, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F11/36
CPCG06F11/3692
Inventor 李影贾统吴中海
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap