Decision level prediction method, storage device and storage medium

A technology of decision level and prediction method, applied in information storage, static memory, read-only memory, etc., can solve the problem of high original error bit rate of SSD memory, reduce iteration time and corresponding power consumption, reduce RBER, and improve usage effect of life

Inactive Publication Date: 2022-04-12
DERA CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0009] An embodiment of the present invention provides a decision level prediction method, a storage device and a storage medium to at least solve the problem of high original error bit rate of existing SSD memory

Method used

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  • Decision level prediction method, storage device and storage medium
  • Decision level prediction method, storage device and storage medium
  • Decision level prediction method, storage device and storage medium

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Embodiment 1

[0067] An embodiment of the present invention provides a method for predicting a decision level, such as figure 1 As shown, the prediction method of the decision level includes:

[0068] S101, when reading stored data from the memory, determine the storage unit where the stored data is located;

[0069] S102. Obtain the state information of the storage unit at the current moment; wherein the state information may be an equivalent residence time and / or the number of times of erasing and writing;

[0070] S103. Determine the read decision level of the storage unit at the current moment according to the correspondence between the historical state information and the historical optimal decision level and the state information of the storage unit at the current moment. Finally, the stored data can be read from the storage unit according to the read decision level.

[0071] This embodiment belongs to an online prediction method of a decision level, and is especially suitable for s...

Embodiment 2

[0080] The embodiment of the present invention is mainly aimed at the related improvement of S103 in the first embodiment, expounds the historical information recording process of the storage unit, and describes the construction process of the corresponding relationship between the historical state information and the historical optimal decision level. That is to say, according to the corresponding relationship between the historical equivalent dwell time and the historical optimal decision level and the equivalent dwell time of the storage unit at the current moment, determine the read decision level of the storage unit at the current moment Before, including:

[0081] Periodically determine the equivalent dwell time of the current detection cycle of the storage unit and the optimal decision level of the current detection cycle;

[0082] According to the equivalent dwell time of the current detection cycle of the storage unit and the optimal decision level of the current dete...

Embodiment 3

[0121] This embodiment briefly describes the process of online prediction of the optimal decision level according to the first and second embodiments, and describes the corresponding relationship between the historical state information and the historical optimal decision level and the state information of the storage unit at the current moment , a process of determining the optimal decision level of the storage unit at the current moment. Such as Figure 5 As shown, the process includes:

[0122] Step 31, the storage controller receives the read data command sent by the Host, and finds the storage unit where the data is located according to the address information of the data;

[0123] Step 32 , the storage controller calculates the equivalent residence time according to the current ambient temperature and time of the storage, and the calculation method of the equivalent residence time is the same as that in Embodiment 2.

[0124] In step 33, the storage controller queries ...

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Abstract

The invention relates to a decision level prediction method, a storage device and a storage medium, and the method comprises the steps: determining a storage unit where storage data is located under the condition that the storage data is read from a memory; acquiring the state information of the storage unit at the current moment; and determining a read judgment level of the storage unit at the current moment according to a corresponding relation between historical state information and a historical optimal judgment level and the state information of the storage unit at the current moment. According to the method, the current read decision level is predicted by querying the historical information of the storage particles and combining the state information of the storage unit, and the RBER of read data is effectively reduced, so that the iteration time and the corresponding power consumption of an ECC decoder are reduced, and the service life of the whole SSD equipment is correspondingly prolonged. Furthermore, according to the method, the physical characteristics of the read judgment level of the storage unit are obtained in an online learning mode, offline testing of particles is not needed, the testing workload is saved, and the adaptability is better.

Description

technical field [0001] The invention relates to the field of data storage, in particular to a method for predicting a decision level, a storage device and a storage medium. Background technique [0002] Currently, mainstream storage devices for computer servers are mainly divided into two types: mechanical hard disks (Hard Disk, HD) and solid state drives (Solid State Drive, SSD). The essential difference between a solid-state drive and a mechanical hard drive is that the storage medium is different. The traditional mechanical hard disk uses the mechanical disk as the storage medium, and stores and reads data through the mechanical structure between the magnetic arm, the magnetic head and the disk. The solid-state hard disk uses NAND flash memory (non-volatile memory) as the storage medium, and reads and writes data through the power-on and power-off of the cells inside the memory, thereby realizing data storage. The memory system mainly includes four parts: Host controlle...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G11C16/34G11C29/42
Inventor 秦东润刘晓健王嵩
Owner DERA CO LTD
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