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Online prediction method and system for remaining service life of hard disk equipment

A hard disk and equipment technology, applied in the field of online prediction of the remaining service life of hard disk equipment, can solve problems such as inaccurate hard disk life prediction results, and achieve the effect of improving accuracy

Active Publication Date: 2019-11-05
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the defects of the prior art, the purpose of the present invention is to solve the technical problem of inaccurate hard disk life prediction results in the prior art

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  • Online prediction method and system for remaining service life of hard disk equipment
  • Online prediction method and system for remaining service life of hard disk equipment
  • Online prediction method and system for remaining service life of hard disk equipment

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Embodiment Construction

[0058] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0059] Such as figure 1 As shown, an online prediction method for the remaining service life of a hard disk device includes the following steps:

[0060] S1. Regularly collect SMART information and I / O status information of hard disk devices from the data center and store them as historical status data sets and real-time status data sets. The I / O status information includes the consumption of I / O requests on the hard disk device time;

[0061] S2. Through feature engineering, the historical state data set is converted into the data set of the data pair type accepted by the two-way long and shor...

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Abstract

The invention discloses an online prediction method and system for the remaining service life of hard disk equipment, and belongs to the technical field of computer storage. According to the invention, SMART information and I / O state information of hard disk equipment are taken as the basis; remaining service life online prediction of the hard disk equipment is carried out, SMART data records reliability indexes of multiple hard disk operation states, I / O state information comprises time consumed by an I / O request on the hard disk equipment, and time irrelevant to the service life of the harddisk equipment is removed; based on the collected I / O state information, a plurality of derivative variable attributes are generated, and the derivative variables are strongly related to the service life of the hard disk and reflect the internal relation between the hard disk state information and faults; group label assignment is adopted, the training effect is prevented from being affected by using temporary variables with large changes, a bidirectional long-short-term memory neural network is selected as a prediction model, a current value is reasonably predicted in combination with front and back hidden layers, the root mean square error and the average absolute error are effectively reduced, and therefore the hard disk life prediction precision is improved.

Description

Technical field [0001] The invention belongs to the field of computer storage technology, and more specifically, relates to an online prediction method and system for the remaining service life of a hard disk device. Background technique [0002] In recent years, more and more software applications have chosen to be deployed as online services on cloud computing platforms such as Microsoft, Google, and Amazon. Although most cloud service providers claim to provide high availability, in fact cloud services will still fail, resulting in user dissatisfaction and economic losses. The main reasons for the unavailability of system services include: operational errors, virus damage, hardware system failures or software failures (memory errors, network failure lights), equipment hardware failures, etc. Compared with other components such as CPU and memory, the hard disk has the characteristics of large volume and short remaining service life, which is the main part of the hardware failu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/06G06N3/04G06N3/08
CPCG06F3/0616G06F3/0653G06F3/0674G06N3/049G06N3/08G06N3/045
Inventor 谭支鹏张鑫冯丹王芳谢燕文徐高翔
Owner HUAZHONG UNIV OF SCI & TECH
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