Host end mapping method and device of SSD array, computer device and storage medium

Abstract

The invention relates to a host end mapping method and device of an SSD array, a computer device and a storage medium. The method comprises the following steps of S1, creating a mapping table; S2, acquiring a request from a host; S3, performing read / write processing on the request of the host according to the mapping table to obtain a processing result; and S4, feeding back a processing result tothe host. By creating the mapping table, the logic spaces of different SSDs can be sequentially allocated for storing the write-in data of the host, so that any write-in data of the host can be written into each SSD of the SSD array in a balanced manner, the wear balance is guaranteed, the concurrency of the write-in performance is guaranteed, and the requirements can be better met.

Description

technical field [0001] The present invention relates to the technical field of solid-state hard disks, and more specifically refers to a host-side mapping method, device, computer equipment and storage media of SSD arrays. Background technique [0002] SSD (Solid State Drive) has been widely used in various occasions. At present, in the PC market, it has gradually replaced the traditional HDD, providing users with a better experience in terms of reliability and performance. As the main storage medium of SSD, NAND ( Memory) has been updated; with the evolution of the process, the reliability of the particles is facing greater challenges. Within a given number of erasing and writing of NAND, as the PE (erasing and writing times) increases, the probability of error will also increase. Increase. [0003] In order to meet the correctness requirements of the data, in addition to traditionally increasing the ECC error correction capability and using the NAND built-in ReadRetry (re...

AI Technical Summary

Problems solved by technology

However, the existing SSD array host-side mapping strategy adopts a simple fragmented static mapping strategy: For example, taking an array composed of two SSDs as an example, host LBA0 / 2 / 4 / 6... are mapped to Disk 1's LBA 0 / 1 / 2 / 3…; host LBA 1 / 3 / 5 / 7… are mapped to Disk 2’s LBA 0 / 1 / 2 / 3… in turn; since the host’s LBA writing may be random, for example, the host centrally writes the host LBA 0 / 2 / 4, then only disk 1 is providing write at this time. On the one hand, disk 1 wears out too quickly, and on the other hand, the writing performance is not concurrent. Only one disk is working, resulting in uneven wear, and Write performance cannot be concurrent; therefore, requirements cannot be met

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