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A relevant failure prediction method and system

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

Active Publication Date: 2016-10-12
ZHUHAI POWER SUPPLY BUREAU GUANGDONG POWER GIRD CO
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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

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  • A relevant failure prediction method and system
  • A relevant failure prediction method and system
  • A relevant failure prediction method and system

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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 ...

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Abstract

The invention provides a relevant failure prediction method and system. The relevant failure prediction method comprises the steps of acquiring historical failure information of a distributive computing system and acquiring a failure information sample database according to the historical failure information; acquiring effective failure information in the failure information sample database and performing time discretization processing on the effective failure information to obtain a sample data matrix; acquiring a current probability shared risk group structure of the distributive computing system according to the sample data matrix; acquiring current failure sample information of the distributive computing system that is collected in real time; performing failure prediction on the distributive computing system according to the current probability shared risk group structure and the current failure sample information. The method and the system can describe the diversity and transmissibility characteristics of relevant failures comprehensively and accurately, improve prediction precision, effectively increase the prediction method execution efficiency and facilitate online failure deployment and implementation, and are of great importance for improving the availability and the reliability of the distributive computing system.

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

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Application Information

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Patent Type & Authority Applications(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
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