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A server error diagnosis method and apparatus based on supervised learning

A technology of supervised learning and error diagnosis, applied in the computer field, can solve the problems of inflexible and cumbersome fault detection methods, achieve the effect of fully automatic analysis and prediction of fault level, and reduce time cost

Inactive Publication Date: 2019-03-08
ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method of setting fixed values ​​to detect faults is very inflexible. In order to adapt to multiple devices, different configurations must be made for different environments, which is cumbersome.

Method used

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  • A server error diagnosis method and apparatus based on supervised learning
  • A server error diagnosis method and apparatus based on supervised learning

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Embodiment Construction

[0027] Embodiments of the present disclosure are described below. It is to be understood, however, that the disclosed embodiments are merely examples and that other embodiments may take various alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimized to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention. As will be understood by persons of ordinary skill in the art, various features shown and described with reference to any one figure can be combined with features shown in one or more other figures to create embodiments not explicitly shown or described . Combinations of features shown provide representative embodiments for typical applications. However, various combinations and modifications of the features consist...

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Abstract

The invention provides a server error diagnosis method based on supervised learning, comprising the following steps of collecting server fault information and classifying the fault information; digitalizing the fault information of each type according to the fault condition and fault grade; dividing the digitized information into training set and test set; training a training model constructed bya plurality of algorithms based on the training set, and testing the trained model based on the test set to select the model with the highest precision; and predicting a failure level corresponding tothe new server failure information through the selected model. The invention realizes the complete automatic analysis and fault grade prediction, and reduces the time cost of manually monitoring theserver fault.

Description

technical field [0001] The present invention generally relates to the computer field, and more specifically, relates to a method and device for server error diagnosis based on supervised learning. Background technique [0002] A running server is carrying countless business traffic all the time, which will generate a lot of data. Although the server is a very stable product, with the increase of running time and changes in the surrounding physical environment (such as heat dissipation, etc.), it will inevitably have a certain impact on the server, and it may even bring downtime to the server in serious cases. machine risk. Therefore, it becomes a very valuable research direction to predict various possible failures of servers. [0003] BMC (Baseboard Management Controller) is a control chip on the motherboard that can remotely operate the server. It is a system independent of the server. It can remotely monitor some performance indicators on the server, and perform power-o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/34
Inventor 梁盛楠
Owner ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
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