Method and device for predicting hard disk fault occurrence time and storage medium

A technology of hard disk failure and occurrence time, which is applied in the computer field and can solve the problem of inability to predict the time of hard disk failure.

Active Publication Date: 2019-05-31
NANJING ZHONGXING SOFTWARE
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The disclosure provides a method, device and storage medium for predicting the occurrence time of a hard disk failure to solve the problem in the related art that the time of hard disk failure cannot be predicted

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  • Method and device for predicting hard disk fault occurrence time and storage medium
  • Method and device for predicting hard disk fault occurrence time and storage medium
  • Method and device for predicting hard disk fault occurrence time and storage medium

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present disclosure.

[0028] figure 1 is a flow chart of a method for predicting the occurrence time of a hard disk failure according to an exemplary embodiment, as shown in figure 1 As shown, the method includes the following steps:

[0029] Step 101: Screen out hard disks on the verge of failure from multiple hard disks according to the collected status data of the hard disks;

[0030] In an exemplary implementation scenario of the method for predicting the occurrence time of a h...

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Abstract

The invention provides a method and a device for predicting hard disk fault occurrence time and a storage medium, which are used for solving the problem that the hard disk fault occurrence time cannotbe predicted in related technologies. The method comprises the following steps: screening out hard disks with endangered faults from a plurality of hard disks according to acquired state data of thehard disks; Calculating the variable quantity and the discrete quantity of each piece of data in each piece of state data, collected in a first preset time period, of the hard disk with the endangeredfault, and obtaining a first prediction data set; And inputting the first prediction data set into the first training model to obtain the fault probability of each hard disk in a second preset time period in the future. The method and the device can predict the failure time of the hard disk.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a method, device and storage medium for predicting the occurrence time of a hard disk failure. Background technique [0002] According to statistics at home and abroad, hard disks are the main source of failure in current data centers. A relevant report pointed out: "In a data center with 4,000 nodes, on average, one hard disk fails every 6 hours." Such frequent hard disk failures will inevitably lead to serious consequences such as business interruption and data loss. If the occurrence of hard disk failure can be predicted in advance, it will bring great convenience to the operation of the data center. At present, the hard disk failure prediction technology in related technologies blindly pursues to improve the detection rate, resulting in a high false detection rate, so many healthy hard disks will be misjudged as faulty hard disks. And the relevant hard disk ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/22
CPCG11B27/36G06F11/1048G06F11/3034G06F11/3466G06F11/3452G06F11/3055G06F11/076G06F11/0772G06F11/1092G06F18/214
Inventor 杨洪章屠要峰杨雅辉李忠良郭斌
Owner NANJING ZHONGXING SOFTWARE
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