Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A log-based cloud service problem fine-grained intelligent tracing method

A cloud service, fine-grained technology, applied in the field of cloud computing, to achieve the effect of high practical value

Active Publication Date: 2019-06-07
RENMIN UNIVERSITY OF CHINA
View PDF5 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above problems, in the face of complex log data in the cloud operating system environment, the purpose of the present invention is to provide a fine-grained intelligent traceability method for cloud service issues based on logs, based on the fact that all service nodes from the cloud operating system are related to the cloud operating system Logs with different components, this method comprehensively utilizes the service behavior fragments presented by multi-source logs, restores the overall effect of various cloud service components corresponding to an operation request, and expresses it as a sequence of log events describing the log mode. By identifying The log mode is used to locate the root cause of cloud service exceptions, and the traceability granularity is refined to the cloud service exception corresponding to each cloud user operation

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
  • A log-based cloud service problem fine-grained intelligent tracing method
  • A log-based cloud service problem fine-grained intelligent tracing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] This embodiment takes OpenStack integration as an example to illustrate the method of the present invention.

[0065] 1) if figure 1 As shown, to build a knowledge base, the specific implementation steps are as follows:

[0066] 1.1) Generate a data source.

[0067] In the offline cloud computing environment, use the command line interface provided by the cloud operating system to write scripts to simulate large-scale concurrent operation requests from different users, analyze data based on the historical exceptions of the cloud environment, and combine fault injection technology and scene reproduction methods to restore the cloud The processing process of service exceptions, and finally collect the logs of each node and component of OpenStack on each server node as a data source for building training data.

[0068] Further, during the submission process of each type of operation request:

[0069] 1.1.1) Submit a small number of requests sequentially in a fixed time ...

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 relates to a log-based cloud service problem fine-grained intelligent tracing method. The method is characterized by comprising the following steps: 1) based on historical abnormal record data of a cloud operating system, combining a fault injection technology, and abstracting an overall related system task execution mode reflected by cross-component logs under various abnormal scenes by utilizing time correlation analysis and a machine learning algorithm, thereby constructing a knowledge base; and 2) identifying an overall related system task execution mode corresponding to thelog newly generated by the cloud operation system by using the knowledge base, thereby achieving the purpose of fine-grained cloud service exception automatic tracing. According to the invention, historical analysis data in a cloud environment are fully utilized by means of an intelligent machine learning method; the knowledge base is obtained through training and used for identifying a new log mode and capturing the overall effect of multi-component collaborative services in a cloud environment, so that the purpose of automatic cloud service exception tracing is achieved, and the method can be widely applied to intelligent tracing of cloud service exception problems in the field of cloud computing.

Description

technical field [0001] The invention belongs to the field of cloud computing, and in particular relates to a log-based fine-grained intelligent traceability method for cloud service problems. Aiming at the cloud operating system environment, the mixed log big data generated by many cloud service nodes is comprehensively utilized, and intelligent technology of machine learning is used. Learn and accumulate knowledge from the exceptions encountered, and automatically find the root cause of the service exceptions corresponding to cloud user operations. Background technique [0002] Cloud computing provides a mode of on-demand self-service access to computing resources through the network. These resources come from a shared highly elastic virtual resource pool. availability. With the help of open source cloud operating systems such as OpenStack, organizations such as schools, enterprises, and governments can build personalized private clouds, public clouds, and hybrid clouds. ...

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): H04L12/24G06N20/00G06F16/28G06N5/02G06N99/00
Inventor 袁月石文昌梁彬秦波
Owner RENMIN UNIVERSITY OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com