Solid state disk life prediction method

A technology for life prediction and solid-state hard disks, applied in the field of storage systems, can solve the problems of providing accurate prediction prompts, insufficient users, and large quality gaps, and achieve the effect of accurate hard disk life prediction, clear understanding, and avoiding data loss.

Pending Publication Date: 2020-06-19
西安奥卡云数据科技有限公司
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Problems solved by technology

[0002] In a large-scale distributed storage system, there are many types of hard disks, and the quality varies greatly. In the actual use process, each disk is used in a different way, so it is easy to cause some disks to be damaged and cause data loss. If given A hard disk life estimation technology, which can provide customers with a technical guarantee to prevent problems before they happen. The existing solutions are all based on the S.M.A.R.T (Self-Monitoring, Analysis and Reporting Technology) technology embedded in the hard disk device. The failure prediction accuracy rate provi

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[0043] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0044] The embodiment of the invention discloses a method for predicting the lifetime of a solid state hard disk, which includes the following steps:

[0045] Step 1: Collect data to train the model, such as figure 1 Shown. Collect historical data of various hard disks in various cluster scenarios, including temperature, humidity, system memory and CPU, network bandwidth, hard disk power-on time, abnormal power-off times, current write volume, io size, write amplification, IOPS, bad blocks Count, read and write speed, P / E times, organize the collected data, import it into the set model, roughly estimate the various indicators in the current model, and build a simple model first.

[0046] Step 2: Verify, debug, and modify the model in step one above to obtain the trained model and obtain the threshold. Such as figure 2 As shown, specifically:

[0047] 2.1 Collect...

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Abstract

The invention discloses a solid state disk life prediction method. The method comprises the following steps of 1, collecting data to train a model; and 2, verifying, debugging and correcting the modelin the step 1 to obtain a trained model, and obtaining a threshold value. 3, inputting data in a hard disk to be predicted into the trained model in the step 2 to obtain a result; if the result is greater than the threshold value in the step 2, judging that the hard disk has a problem, giving an alarm, and updating the latest information of the hard disk; and if the result is smaller than the threshold value in the step 2, judging that the hard disk has no problem, and updating hard disk data. The method can more intelligently and accurately predict the hard disk service life according to theactual resource use condition of the user, is simple and flexible in algorithm, and can be quickly expanded to adapt to more resource use conditions.

Description

【Technical Field】 [0001] The invention belongs to the technical field of storage systems, and in particular relates to a method for predicting the life of a solid state hard disk. 【Background technique】 [0002] In large-scale distributed storage systems, there are many types of hard disks used, and the quality gap is large. In actual use, each disk is used in different ways. Therefore, it is easy to cause some disks to break and cause data loss. If given A hard disk life prediction technology, which can provide customers with a preventive technical guarantee. Existing solutions are based on the SMART (Self-Monitoring, Analysis and Reporting Technology) technology embedded in the hard disk device. The fault prediction accuracy rate provided is only about 30%, and no clear warning instructions can be given. The main reason for the failure of SMART prediction is that this technical framework started more than 20 years ago and is too simple. It is simply based on internal statistics...

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Application Information

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IPC IPC(8): G06F11/00G06F11/30
CPCG06F11/008G06F11/3037G06F11/3055G06F11/3072
Inventor 解贤坤
Owner 西安奥卡云数据科技有限公司
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