CN117234407A - Storage device optimizing method, storage device, and computer-readable storage medium - Google Patents
Storage device optimizing method, storage device, and computer-readable storage medium Download PDFInfo
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- CN117234407A CN117234407A CN202210628317.4A CN202210628317A CN117234407A CN 117234407 A CN117234407 A CN 117234407A CN 202210628317 A CN202210628317 A CN 202210628317A CN 117234407 A CN117234407 A CN 117234407A
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- 238000003860 storage Methods 0.000 title claims abstract description 131
- 238000000034 method Methods 0.000 title claims abstract description 80
- 230000006399 behavior Effects 0.000 claims description 126
- 238000005457 optimization Methods 0.000 claims description 21
- 238000012545 processing Methods 0.000 claims description 11
- 230000004044 response Effects 0.000 claims description 7
- 238000013507 mapping Methods 0.000 claims description 2
- 239000000758 substrate Substances 0.000 claims 5
- 239000000523 sample Substances 0.000 claims 1
- 230000006870 function Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 10
- 239000007787 solid Substances 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 2
- 239000000306 component Substances 0.000 description 2
- 239000008358 core component Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
Abstract
The application relates to the technical field of storage products, and discloses a storage device optimizing method, a storage device and a computer readable storage medium, wherein the method comprises the following steps: acquiring first behavior information of the main equipment in the process of identifying the storage device; determining corresponding application scene information according to the first behavior information; and optimizing the storage device according to the application scene information. According to the method, the corresponding application scene information is determined by acquiring the first behavior information of the main equipment in the process of identifying the storage device, and then the storage device is optimized according to the application scene information, so that different main equipment can be identified, and the application scenes of different main equipment are optimized, thereby improving the performance, service life and reliability of the storage device and improving the user experience of products.
Description
Technical Field
The present application relates to the field of storage products, and in particular, to a storage device optimizing method, a storage device, and a computer readable storage medium.
Background
The storage products are used in a variety of applications, such as video recording, copying files, system disks, etc., where the complexity varies considerably. In the storage products, the occasions are simply divided into read-only, write-only or read-write hybrid applications, and enterprise SSDs on the market can be optimized differently for the occasions, but users are required to be able to know own application scenes and select corresponding storage products, and certain requirements are provided for the profession of the users. In addition, in consumer products, manufacturers do not need to do so careful classification, and certain requirements are imposed on production management, so that the consumer products are general storage products and basically cannot be optimized for different scenes.
In applications where the product is stored, the product acts as a slave, essentially passively responding to requests from the master (host). The slave device generally has a unique combination of vendor ID + product ID + serial number so that the master device can conveniently identify the slave device. However, most of the conventional storage products cannot identify the accessed different main devices, and cannot memorize the usage scenarios of the accessed different main devices, and thus cannot optimize the different main devices differently.
Disclosure of Invention
The application mainly solves the technical problem of providing a storage device optimizing method, a storage device and a computer readable storage medium, and can solve the problem that the existing storage product cannot be optimized aiming at application scenes of different main devices in the application process.
In order to solve the technical problems, the first aspect of the present application adopts a technical scheme that: there is provided a method of optimizing a storage device, the method comprising:
acquiring first behavior information of the main equipment in the process of identifying the storage device; determining corresponding application scene information according to the first behavior information; and optimizing the storage device according to the application scene information.
Optionally, the obtaining the first behavior information of the master device in the process of identifying the storage device includes:
and in response to the power-on of the storage device, acquiring at least one of the command, the time value and the voltage value in the process of identifying the storage device by the main equipment as the first behavior information.
Optionally, the method for obtaining the first behavior information of the master device in the process of identifying the storage device further includes:
and in response to the storage device powering up, acquiring the device identification code of the master device as first behavior information.
Optionally, determining the corresponding application scenario information according to the first behavior information includes:
matching the first behavior information with the second behavior information stored in the storage device, and determining the second behavior information matched with the first behavior information; determining a master device corresponding to second behavior information matched with the first behavior information; and determining application scene information corresponding to the main equipment.
Optionally, the method further comprises:
and when the corresponding application scene information is not acquired according to the first behavior information, storing the first behavior information.
Optionally, storing the first behavior information includes:
processing the first behavior information to obtain corresponding second behavior information; and storing the second behavior information.
Optionally, processing the first behavior information to obtain corresponding second behavior information includes:
and carrying out hash value mapping on the first behavior information to obtain corresponding second behavior information.
Optionally, storing the second behavior information includes:
associating the second behavior information with the master device; establishing application scene information corresponding to the main equipment; and storing the second behavior information and application scene information corresponding to the main equipment associated with the second behavior information.
Optionally, optimizing the storage device according to the application scenario information includes:
loading optimization data corresponding to application scene information; and optimizing the storage device by utilizing the optimization data.
In order to solve the technical problems, a technical scheme adopted by the second aspect of the application is as follows: a memory device is provided that includes a processor and a memory interconnected.
Optionally, the memory is configured to store program instructions, and the processor is configured to execute the program instructions to implement the method for optimizing the storage device.
In order to solve the technical problem, a technical scheme adopted by the third aspect of the application is as follows: there is provided a computer readable storage medium storing program instructions executable to implement the above-described method of optimizing a storage device.
Unlike the prior art, the present application provides a storage device optimizing method, a storage device, and a computer-readable storage medium, the method comprising: acquiring first behavior information of the main equipment in the process of identifying the storage device; determining corresponding application scene information according to the first behavior information; and optimizing the storage device according to the application scene information. According to the method, the corresponding application scene information is determined by acquiring the first behavior information of the main equipment in the process of identifying the storage device, and then the storage device is optimized according to the application scene information, so that different main equipment can be identified, and the application scenes of different main equipment are optimized, thereby improving the performance, service life and reliability of the storage device and improving the user experience of products.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a schematic flow chart of a first embodiment of a method for optimizing a storage device according to the present application;
FIG. 2 is a schematic flow chart of S12 in FIG. 1;
FIG. 3 is a schematic flow chart of S13 in FIG. 1;
FIG. 4 is a flowchart of a second embodiment of a method for optimizing a storage device according to the present application;
fig. 5 is a schematic flow chart of S23 in fig. 4;
FIG. 6 is a schematic flow chart of S232 in FIG. 5;
FIG. 7 is a schematic diagram of a memory device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an embodiment of a computer readable storage medium provided by the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The steps in the embodiments of the present application are not necessarily processed according to the described step sequence, and the steps in the embodiments may be rearranged selectively according to the requirement, or steps in the embodiments may be deleted, or steps in the embodiments may be added, where the description of the steps in the embodiments of the present application is only an optional sequential combination, and does not represent all the sequential combinations of steps in the embodiments of the present application, and the sequence of steps in the embodiments should not be considered as limiting the present application.
The term "and/or" in embodiments of the present application is meant to include any and all possible combinations of one or more of the associated listed items. Also described are: as used in this specification, the terms "comprises/comprising" and/or "includes" specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, and/or components, and/or groups thereof.
The terms "first," "second," and the like in this disclosure are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1, fig. 1 is a flowchart of a first embodiment of a method for optimizing a storage device according to the present application, where the method includes:
s11: and acquiring first behavior information of the main equipment in the process of identifying the storage device.
It will be appreciated that in storage communications, the first step in communication between a master device (host) and a slave device (storage product) is the need to identify the slave device, such as the physical layer properly establishing a connection, link matching, obtaining the slave device type and details (e.g., USB enumeration), device capabilities, etc. To complete this identification process for the slave device, a series of combining operations are required. The storage protocol document defines the standard of each sub-operation, but does not define a series of operations of the whole identification process, so that in the whole process of identifying the slave devices, certain differences exist in the operations of different master devices, such as different command sequences, different command numbers or different time differences among commands, even differences exist in the power supply voltages of the master devices (different storage protocols have different difference points); meanwhile, for the same master device, since the behavior of the identification slave device is a software and hardware fixed logic operation, the identification slave device has certain consistency.
Optionally, in response to powering up the storage device, at least one of a command, a time value, and a voltage value in the process of identifying the storage device by the master device is acquired as the first behavior information.
Alternatively, in response to the storage device being powered on, the device identification code of the master device may also be acquired as the first behavior information. Specifically, the master device has a unique device identification code, which may include: deviceID, IMEI, UUID, UDID, OAID, IDFA, GAID, ESN, etc. The device identification codes are different between different master devices, so the storage means can distinguish between the different master devices based on the device identification codes.
It will be appreciated that other information related to the identification process of the storage device by the master device may be used as the first behavior information, as long as the information can be used to distinguish between different master devices, and is not specifically limited herein.
Optionally, in order to improve the accuracy of the identification, different behavior information may be selected in a targeted manner, and the behavior information may be processed, for example, accuracy adjustment may be performed on a time value, a voltage value, and the like.
S12: and determining corresponding application scene information according to the first behavior information.
Optionally, the storage device may store second behavior information corresponding to different master devices in advance, and match the first behavior information with the second behavior information to determine the corresponding master device, thereby determining corresponding application scenario information.
Alternatively, the storage device that does not store the second behavior information corresponding to the master device in advance cannot obtain the corresponding application scenario information when it is first connected to the master device, and needs to store the first behavior information of the master device, which will be described in detail in later embodiments.
Optionally, after the storage device is connected with the main device once, the storage device stores the first behavior information of the main device and establishes corresponding application scene information, and when the main device is subsequently connected again, the storage device can identify the main device according to the first behavior information and determine the corresponding application scene information.
S13: and optimizing the storage device according to the application scene information.
Optionally, for different application scenario information, the storage device may load corresponding optimization data, and optimize the storage device using the optimization data.
Alternatively, the optimization data may be a program, a script, or the like, and the storage device may store the corresponding optimization data in advance for different application scenario information. For example, in a specific embodiment, the storage device is a solid state disk, the main device is a computer, after the solid state disk obtains first behavior information in the process of identifying the solid state disk by the computer, the solid state disk identifies the computer and determines a corresponding application scene as a system disk, the solid state disk loads corresponding optimized data, and operations such as disk cleaning, defragmentation and the like are performed by using the optimized data so as to improve the response speed of the system; meanwhile, the optimized data can be used for periodically checking the magnetic disk, so that the reliability of the system disk is improved.
Compared with the prior art, the embodiment provides an optimization method of a storage device, which comprises the following steps: acquiring first behavior information of the main equipment in the process of identifying the storage device; determining corresponding application scene information according to the first behavior information; and optimizing the storage device according to the application scene information. According to the method, the corresponding application scene information is determined by acquiring the first behavior information of the main equipment in the process of identifying the storage device, and then the storage device is optimized according to the application scene information, so that different main equipment can be identified, and the application scenes of different main equipment are optimized, thereby improving the performance, service life and reliability of the storage device and improving the user experience of products.
Referring to fig. 2, fig. 2 is a schematic flow chart of S12 in fig. 1, and S12 may further include:
s121: and matching the first behavior information with the second behavior information stored in the storage device, and determining the second behavior information matched with the first behavior information.
Optionally, the storage device stores second behavior information in advance, where the second behavior information may be obtained and stored by the storage device when the storage device is first connected to the master device.
Optionally, for the same type of master device, the behavior information in the process of identifying the storage device has certain consistency, so that in the process of developing the storage device, multiple types of commonly used master devices can be tested, multiple groups of behavior information corresponding to the multiple types of master devices are obtained, and the multiple groups of behavior information are written into the storage device to serve as second behavior information.
Optionally, application scenario information corresponding to each of the multiple types of master devices may be further established, and associated with the second behavior information and stored together in the storage device.
Optionally, the first behavior information is matched with the second behavior information, and the second behavior information matched with the first behavior information is determined.
S122: and determining a master device corresponding to the second behavior information matched with the first behavior information.
Optionally, the second behavior information stored in the storage device is in one-to-one correspondence with the master device, and after determining the second behavior information matched with the first behavior information, the corresponding master device may be determined.
S123: and determining application scene information corresponding to the master device.
Optionally, the storage device stores application scene information corresponding to each of the multiple types of main devices in advance, and after determining the main device, the corresponding application scene information can be determined.
Referring to fig. 3, fig. 3 is a schematic flow chart of S13 in fig. 1, and S13 may further include:
s131: and loading the optimized data corresponding to the application scene information.
S132: and optimizing the storage device by utilizing the optimization data.
Optionally, the optimization data may be a program, a script, or the like, and the storage device may store optimization data corresponding to various application scenario information in advance.
Optionally, the storage device loads the optimization data corresponding to the application scene information, and the storage device can be optimized by utilizing the optimization data, so that the storage device can exert good performance in different application scenes.
Optionally, in a specific embodiment, the storage device is a memory card, and the connectable host device includes a video monitoring device and a computer, where behavior information of the video monitoring device and behavior information of the computer in a process of identifying the memory card are different. When the video monitoring equipment is connected, the memory card acquires behavior information of the video monitoring equipment in the identification process, an application scene is determined to be a video record, and the memory card loads corresponding optimized data at the moment, so that the memory throughput is improved, the time delay is reduced, and the video picture is ensured not to have frame loss and frame error. The user may need to copy the video in the memory card, and the memory card may be connected to the computer, when the computer is connected, the memory card obtains the behavior information of the computer in the identification process, determines that the application scene is a copy file, loads the corresponding optimized data at this time, switches the file system into the file system corresponding to the disk of the computer, and performs 4k alignment, thereby improving the copy speed of the video file.
Referring to fig. 4, fig. 4 is a flowchart of a second embodiment of a method for optimizing a storage device according to the present application, where the method includes:
s21: and acquiring first behavior information of the main equipment in the process of identifying the storage device.
S22: and determining corresponding application scene information according to the first behavior information.
S23: and storing the first behavior information when the corresponding application scene information is not acquired according to the first behavior information.
Optionally, when the storage device is connected to the main device for the first time, the corresponding application scenario information cannot be obtained according to the first behavior information, and at this time, the first behavior information of the main device needs to be stored, so that when the storage device is connected to the main device again, the main device is identified according to the first behavior information, the corresponding application scenario information is further determined, and the storage device is optimized according to the application scenario information.
Referring to fig. 5, fig. 5 is a schematic flow chart of S23 in fig. 4, and S23 may further include:
s231: and processing the first behavior information to obtain corresponding second behavior information.
Optionally, in order to better record the first behavior information, the second behavior information stored in the storage device is more conveniently used for matching, and the first behavior information may be processed, for example, the first behavior information is mapped by using a hash function to hash values, so that a large amount of data is converted into shorter fixed-length data, so as to obtain corresponding second behavior information.
Specifically, a Hash Function (or Hash algorithm, also known as Hash Function, english: hash Function) is a method of creating a small digital "fingerprint" from any kind of data. The hash function compresses the message or data into a digest, making the amount of data smaller, fixing the format of the data. The function mixes the data scrambling and recreates a fingerprint called a hash value (hash values, hash codes, hash sums, or hashes). The hash value is typically represented by a short string of random letters and numbers. Good hash functions rarely suffer from hash collisions in the input domain.
S232: and storing the second behavior information.
Optionally, after the first behavior information is processed to obtain the second behavior information, the second behavior information is stored.
Referring to fig. 6, fig. 6 is a schematic flow chart of S232 in fig. 5, and S232 may further include:
s2321: the second behavior information is associated with the master device.
Optionally, the second behavior information is associated with the master device, so that the second behavior information stored in the storage device is in a one-to-one correspondence with the master device.
S2322: and establishing application scene information corresponding to the main equipment.
Optionally, the application scene information corresponding to the master device is established, so that the stored application scene information and the master device are in one-to-one correspondence.
S2323: and storing the second behavior information and application scene information corresponding to the main equipment associated with the second behavior information.
Optionally, the application scenario information corresponding to the second behavior information and the associated master device is stored as a set of data in the storage device.
Optionally, corresponding optimization data can be established for the application scene information, and the optimization data can be added into the group of data to be stored together, so that the storage device can load the optimization data to optimize more quickly when the corresponding main device is identified according to the first behavior information again.
Optionally, corresponding optimization data can be respectively established for various commonly used application scenes, the optimization data has certain universality under the application scenes of the same type, the optimization data is stored together with the application scene information in advance in the development process of the storage device, and the corresponding optimization data is directly loaded after the corresponding application scene information is determined according to the first behavior information, so that the storage device has higher flexibility and better adaptability to various application scenes.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a memory device according to an embodiment of the present application, and the device 200 includes a processor 201 and a memory 202 connected to each other.
In particular, the memory 202 is used to store program instructions that the processor 201 is configured to execute to implement the methods provided by any one or any non-conflicting combination of the above-described embodiments.
Optionally, the processor 201 is a Central Processing Unit (CPU), which is one of the main devices of the electronic computer, and is a core component in the computer. Its function is mainly to interpret computer instructions and process data in computer software. The CPU is a core component in the computer responsible for reading instructions, decoding the instructions and executing the instructions. The CPU mainly comprises two parts, namely a controller and an arithmetic unit, and also comprises a cache memory and a bus for realizing data and control of the connection between the cache memory and the cache memory. The central processing unit mainly processes instructions, performs operations, controls time, and processes data. In the computer architecture, a CPU is a core hardware unit that performs control allocation and general-purpose operations on all hardware resources (such as a memory and an input/output unit) of a computer. The CPU is the operation and control core of the computer. The operation of all software layers in the computer system will ultimately be mapped by the instruction set into the operation of the CPU.
Memory 202 is optionally a Read Only Memory (ROM) or Random Access Memory (RAM), which is a memory device in computer systems used primarily for storing programs and data. All information in the computer, including the input raw data, computer program, intermediate running results and final running results, are stored in memory. The information is stored and fetched according to the position appointed by the controller.
Referring to fig. 8, fig. 8 is a schematic structural diagram of an embodiment of a computer readable storage medium 300 provided by the present application, where the computer readable storage medium 300 includes program instructions 301, and the program instructions 301 can be executed to implement a method provided by any one or any combination of the above embodiments. Wherein the capacity of the computer readable storage medium 300 is sized to meet the requirements of storing the program instructions 301.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media 300 (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flowchart and/or block of the flowchart and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer readable storage medium 300. These computer readable storage media 300 may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the program instructions 301, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer-readable storage media 300 may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that program instructions 301 stored in the computer-readable storage media 300 produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer-readable storage media 300 may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the program instructions 301 which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing description is only of embodiments of the present application, and is not intended to limit the scope of the application, and all equivalent structures or equivalent processes according to the present application and the accompanying drawings, or direct or indirect application in other related technical fields, are included in the scope of the present application.
Claims (11)
1. A method of optimizing a storage device, the method comprising:
acquiring first behavior information of the main equipment in the process of identifying the storage device;
determining corresponding application scene information according to the first behavior information;
and optimizing the storage device according to the application scene information.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the obtaining the first behavior information of the main device in the process of identifying the storage device includes:
and in response to the power-on of the storage device, acquiring at least one of the command, the time value and the voltage value in the process of identifying the storage device by the main equipment as first behavior information.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the obtaining the first behavior information of the main device in the process of identifying the storage device includes:
and in response to the storage device powering up, acquiring the device identification code of the master device as first behavior information.
4. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the determining corresponding application scene information according to the first behavior information includes:
matching the first behavior information with second behavior information stored in the storage device, and determining second behavior information matched with the first behavior information;
determining a master device corresponding to second behavior information matched with the first behavior information;
and determining application scene information corresponding to the master device.
5. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the method further comprises the steps of:
and storing the first behavior information when the corresponding application scene information is not acquired according to the first behavior information.
6. The method of claim 5, wherein the step of determining the position of the probe is performed,
the storing the first behavior information includes:
processing the first behavior information to obtain corresponding second behavior information;
and storing the second behavior information.
7. The method of claim 6, wherein the step of providing the first layer comprises,
the processing the first behavior information to obtain corresponding second behavior information includes:
and carrying out hash value mapping on the first behavior information to obtain corresponding second behavior information.
8. The method of claim 6, wherein the step of providing the first layer comprises,
the storing the second behavior information includes:
associating the second behavior information with the master device;
establishing application scene information corresponding to the main equipment;
and storing the second behavior information and application scene information corresponding to the main equipment associated with the second behavior information.
9. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the optimizing the storage device according to the application scene information includes:
loading optimization data corresponding to the application scene information;
and optimizing the storage device by utilizing the optimization data.
10. A storage device comprising a processor and a memory interconnected, the memory for storing program instructions, the processor for executing the program instructions to implement the method of any one of claims 1 to 9.
11. A computer readable storage medium storing program instructions executable to implement the method of any one of claims 1 to 9.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210628317.4A CN117234407A (en) | 2022-06-01 | 2022-06-01 | Storage device optimizing method, storage device, and computer-readable storage medium |
| PCT/CN2022/097732 WO2023231064A1 (en) | 2022-06-01 | 2022-06-08 | Optimization method for storage apparatus, and storage apparatus and computer-readable storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210628317.4A CN117234407A (en) | 2022-06-01 | 2022-06-01 | Storage device optimizing method, storage device, and computer-readable storage medium |
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| CN117234407A true CN117234407A (en) | 2023-12-15 |
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| CN202210628317.4A Pending CN117234407A (en) | 2022-06-01 | 2022-06-01 | Storage device optimizing method, storage device, and computer-readable storage medium |
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| CN105302496A (en) * | 2015-11-23 | 2016-02-03 | 浪潮(北京)电子信息产业有限公司 | Frame for optimizing read-write performance of colony storage system and method |
| US10228860B2 (en) * | 2016-11-14 | 2019-03-12 | Open Drives LLC | Storage optimization based I/O pattern modeling |
| US20210256349A1 (en) * | 2020-02-14 | 2021-08-19 | Micron Technology, Inc. | Optimization of quality of service of data storage devices |
| CN113885692B (en) * | 2021-10-22 | 2023-09-26 | 合肥兆芯电子有限公司 | Memory efficiency optimization method, memory control circuit unit and memory device |
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