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

Micro-service fault root cause positioning method and device based on causal inference

A positioning method and microservice technology, applied in the field of microservice fault root cause location based on causal inference, can solve problems such as inability to take into account positioning accuracy and positioning efficiency, high network operation overhead, and time-consuming and labor-intensive operation and maintenance.

Active Publication Date: 2021-09-14
GUANGDONG UNIV OF TECH
View PDF8 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the current microservice fault root cause location method cannot take into account both location accuracy and location efficiency, and the network operation costs a lot, this invention proposes a causal-based The inferred method and device for locating the root cause of microservice faults overcomes the time-consuming and labor-intensive shortcomings of traditional manual or simple machine operation and maintenance, and quickly and accurately locates faulty components

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
  • Micro-service fault root cause positioning method and device based on causal inference
  • Micro-service fault root cause positioning method and device based on causal inference
  • Micro-service fault root cause positioning method and device based on causal inference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0053] Considering that the existing fault root cause location method cannot meet the requirements under the microservice framework, the present invention proposes to use causal inference to distinguish the causal relationship between each component node. figure 1 shown.

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 provides a micro-service fault root cause positioning method and device based on causal inference, and solves the problems that a current micro-service fault root cause positioning method cannot give consideration to positioning accuracy and positioning efficiency, and the network operation cost is large. The method comprises three stages of fault network element positioning, causal inference model construction and fault root cause positioning, and can strictly distinguish the causal relationship between component nodes, thereby being capable of eliminating redundant nodes, overcoming the defect that traditional manual or simple machine operation and maintenance are time-consuming and labor-consuming, and meanwhile, the fault root cause can be quickly and accurately positioned through the causal traceability characteristic, and the method has certain research value and significance for development of intelligent operation and maintenance.

Description

technical field [0001] The present invention relates to the technical field of data analysis and causal inference, and more specifically, to a method and device for locating the root cause of a microservice fault based on causal inference. Background technique [0002] In recent years, the application scenarios of the microservice framework have become more and more extensive. In the microservice architecture, an application can be decoupled into multiple microservices. When a fault occurs, the fault will propagate throughout the dynamic topology network, causing alarms on multiple nodes and an alarm storm, which will double the difficulty of operation and maintenance. Therefore, once a microservice fails and the root cause cannot be quickly located and resolved, it will directly affect the user experience and bring huge economic losses to the application enterprise. [0003] At present, many fault root cause location methods have been proposed, such as methods based on eve...

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): G06F11/07
CPCG06F11/0751G06F11/079
Inventor 朱文辉傅雪娟江智豪丁凯培刘跃群
Owner GUANGDONG UNIV OF TECH
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