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

Method and system for predicting associated faults

A related fault and fault prediction technology, applied in character and pattern recognition, error detection/correction, instruments, etc., can solve problems such as related fault prediction, achieve the effect of improving execution efficiency, improving prediction accuracy, and facilitating deployment and implementation

Active Publication Date: 2018-08-07
ZHUHAI POWER SUPPLY BUREAU GUANGDONG POWER GIRD CO
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a method and system for predicting associated faults in order to solve the problem that traditional technologies cannot accurately and effectively predict associated faults in distributed computing systems

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
  • Method and system for predicting associated faults
  • Method and system for predicting associated faults
  • Method and system for predicting associated faults

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] In order to solve the problem that the traditional technology cannot accurately and effectively predict the associated faults in the distributed computing system, the present invention provides a method for predicting associated faults Embodiment 1; figure 1 It is a schematic flow chart of Embodiment 1 of the method for predicting associated faults of the present invention; as figure 1 As shown, the following steps may be included:

[0043] Step S110: Obtain historical fault information of the distributed computing system, and obtain a fault information sample library according to the historical fault information;

[0044] Step S120: Obtain effective fault information in the fault information sample library, and perform time discretization processing on the effective fault information to obtain a sample data matrix; effective fault information is fault information showing relevance;

[0045] Step S130: Obtain the current probability sharing risk group structure of the ...

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 present invention relates to a method and system for predicting associated faults, wherein the predicting method for associated faults comprises the following steps: obtaining historical fault information of a distributed computing system, and obtaining a fault information sample database according to the historical fault information; The effective fault information of the distributed computing system is obtained by discretizing the effective fault information in time to obtain the sample data matrix; according to the sample data matrix, the current probability sharing risk group structure of the distributed computing system is obtained; the current data of the distributed computing system collected in real time is obtained Fault sample information: According to the current probability sharing risk group structure and current fault sample information, fault prediction is performed on the distributed computing system. The present invention can fully and accurately describe the diversity and propagation characteristics of associated faults, improve prediction accuracy, effectively improve the execution efficiency of prediction methods, facilitate the deployment and implementation of online faults, and have great significance for improving the availability and reliability of distributed computing systems .

Description

technical field [0001] The invention relates to the field of distributed computing systems, in particular to a method and system for predicting associated faults in the distributed computing system. Background technique [0002] A distributed computing system is composed of multiple heterogeneous and interconnected computing elements (CE: Computing Elements), and these systems usually carry a large number of parallel and collaborative applications. However, with the increase in the scale of computing units, the complexity of the interaction between computing units and other system components, and the diversification of applications carried by the system, distributed computing systems are more prone to failures and abnormalities. These failures are temporally and spatially correlated. This associated failure will cause abnormalities in other computing units in the system, and even affect the availability of the entire distributed computing system. Fault prediction can predi...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/30G06K9/62
CPCG06F11/3006G06F18/23213
Inventor 付博冯伯庚蒋芳玉李红伟
Owner ZHUHAI POWER SUPPLY BUREAU GUANGDONG POWER GIRD CO
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