Method and device for fault prediction of disk

A fault prediction and disk technology, applied in faulty hardware testing methods, faulty computer hardware detection, error detection/correction, etc., can solve problems such as inaccurate prediction results, and achieve the effect of solving inaccurate prediction results

Active Publication Date: 2017-08-08
ZHEJIANG TMALL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The embodiment of the present invention provides a disk failure prediction method and device to at least solve the technical problem of inaccurate prediction results caused by factors that are likely to cause hard disk failures cannot be collected or quantified in the hard disk failure prediction system of the prior art

Method used

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  • Method and device for fault prediction of disk
  • Method and device for fault prediction of disk

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Embodiment 1

[0023] According to an embodiment of the present invention, an embodiment of a disk failure prediction method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0024] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Take running on a computer terminal as an example, figure 1 It is a block diagram of the hardware structure of a computer terminal according to a disk failure prediction method according to an embodiment of the present invention. Such as figure 1 As shown, the computer terminal 10 may include one or more (only one is shown in the figure) p...

Embodiment 2

[0091] According to an embodiment of the present invention, a device for implementing the above disk failure prediction method is also provided, such as Figure 4 As shown, the device includes: an acquisition module 40 , a classification module 42 , a training module 44 and a determination module 46 .

[0092] Wherein, the obtaining module 40 is used to obtain the sample disk data of the disk through the disk monitoring technology, wherein the sample disk data includes sample data on multiple dimensions; the classification module 42 is used to use Bucketing technology to carry out binning processing on the sample disk data , to classify the sample disk data; the training module 44 is used to carry out sample training on the classified sample disk data by using the Owlqn model to obtain a disk prediction model; the determination module 46 is used to receive the disk data of the disk to be tested, Use the disk prediction model to process the disk data of the disk to be tested to...

Embodiment 3

[0109] Embodiments of the present invention may provide a computer terminal, and the computer terminal may be any computer terminal device in a group of computer terminals. Optionally, in this embodiment, the foregoing computer terminal may also be replaced with a terminal device such as a mobile terminal.

[0110] Optionally, in this embodiment, the foregoing computer terminal may be located in at least one network device among multiple network devices of the computer network.

[0111] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the disk failure prediction method: obtain sample disk data of the disk through disk monitoring technology, wherein the sample disk data includes sample data in multiple dimensions; use Bucketing The technology bins the sample disk data and classifies the sample disk data; uses the Owlqn model to perform sample training on the classified sample disk data to obtain a disk prediction m...

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Abstract

The invention discloses a method and device for fault prediction of a disk. The method comprises the steps that sample disk data of the disk is acquired by a disk monitoring technology, wherein the sample disk data contains sample data of multiple dimensions; the Bucketing technology is used for binning processing of the sample disk data and is used to classify the sample disk data; an Owlqn model is used for sample training of the classified sample disk data, so a disk prediction model is obtained; and after receiving of disk data of a to-be-detected disk, the disk prediction model can be used to process the disk data of the to-be-detected disk, and whether the to-be-detected disk is disk with faults can be determined. According to the invention, the technical problem in the prior art that prediction results are inaccurate because some factors which can easily lead to hard disk faults in a hard disk fault prediction system could not be collected or quantified, can be solved.

Description

technical field [0001] The present invention relates to the field of disks, in particular to a disk failure prediction method and device. Background technique [0002] At present, the hard disk is the main medium for storing data. Once the hard disk fails, it will cause huge data loss. Therefore, how to ensure the stable performance of the hard disk is very important. Under normal conditions, the probability of a hard disk error in 24 hours is about one ten thousandth. When a server has ten hard disks, the probability of server hard disk error will rise to one thousandth. With the current website With the development of business, more and more hard disks will be used by the server, and the probability of multiple hard disk errors at the same time will also increase. [0003] Usually, there are multiple backups for data storage, such as the primary and backup databases of MySQL, and the default 3 backups for GFS files. On a large-scale data storage platform, if multiple ha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/22G06F11/30
CPCG06F11/2273G06F11/3037G06F11/3058G06F11/22
Inventor 丁永明周俊崔卿瞿神全
Owner ZHEJIANG TMALL TECH CO LTD
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