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Cold and hot data separation method based on feature codes

A technology for separating hot and cold data, applied in the field of memory, can solve problems such as the inability to judge the "hot and cold" attributes of data, and the inability to identify changes in the "hot and cold" attributes of data, so as to improve equipment life and read and write efficiency, and avoid erasure The effect of uneven writing times and uniform erasing times

Pending Publication Date: 2020-05-01
YEESTOR MICROELECTRONICS CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In some existing separation methods, FTL can only "predict" whether the data will be hot or cold through the data that has already been written. This kind of separation cannot identify the change of the "hot or cold" attribute of the data, nor can it judge the data written for the first time. The "hot and cold" property of

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  • Cold and hot data separation method based on feature codes
  • Cold and hot data separation method based on feature codes

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Experimental program
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Embodiment Construction

[0048] The present invention will be further described in detail below with reference to the accompanying drawings.

[0049] A method for separating hot and cold data based on a feature code of the present invention, such as figure 1 shown, including the following steps:

[0050] S1. Enter the feature code;

[0051] S2, input data;

[0052] S3, determine whether the data is data that conforms to the feature code, if so, go to S8, if not, go to the next step;

[0053] S4, prepare to store data;

[0054] S5. Separate hot and cold data according to the frequency of reading and writing;

[0055] S6, according to the separation result, store the cold and hot data respectively;

[0056] S7, evaluate the feature code, go to S11;

[0057] S8. Prepare to store data;

[0058] S9. Separate hot and cold data according to the feature code;

[0059] S10, according to the separation result, store the cold and hot data respectively;

[0060] S11. Update the feature code rule;

[006...

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Abstract

The invention discloses a cold and hot data separation method based on feature codes. The method comprises the following steps of: judging whether written data has feature codes or not, if so, storingthe data in a corresponding interval according to the feature codes, and if not, separating cold and hot data according to the read-write frequency, and in the process, evaluating and updating the feature codes at the same time so as to adjust the feature codes in time. According to the cold and hot data separation method based on the feature codes, the data is classified and stored in differentareas according to the classification, attribute division of the data areas is carried out from a source, the erasing and writing frequency of each block is uniformized, and the service life of Nand storage equipment is prolonged.

Description

technical field [0001] The present invention relates to the technical field of memory, in particular to a method for separating cold and hot data based on a feature code. Background technique [0002] Currently, Nand storage devices use Nand Flash as the basic storage medium. The basic characteristics of Nand Flash require that blocks must be erased before writing data. The writing sequence in each block has stricter sequential requirements. The minimum unit of reading and writing is a page. When the number of erasing and writing of each block ( After wear) exceeds a certain value, it will become easy to lose data. [0003] In order to meet the basic characteristics of Nand and the random reading and writing requirements of upper-layer users, the Flash Translation Layer (FTL) will realize the conversion of this process. [0004] Based on the above characteristics of Nand Flash, FTL will manage the data written by the user. When the address is repeatedly written, it will no...

Claims

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Application Information

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IPC IPC(8): G06F3/06
CPCG06F3/0616G06F3/0646G06F3/0679
Inventor 付楷吴大畏李晓强
Owner YEESTOR MICROELECTRONICS CO LTD