CN113641434A - Cloud desktop data compression self-adaptive encoding method and system and storage device - Google Patents
Cloud desktop data compression self-adaptive encoding method and system and storage device Download PDFInfo
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- CN113641434A CN113641434A CN202110926085.6A CN202110926085A CN113641434A CN 113641434 A CN113641434 A CN 113641434A CN 202110926085 A CN202110926085 A CN 202110926085A CN 113641434 A CN113641434 A CN 113641434A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
- G06F9/452—Remote windowing, e.g. X-Window System, desktop virtualisation
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/174—Redundancy elimination performed by the file system
- G06F16/1744—Redundancy elimination performed by the file system using compression, e.g. sparse files
Abstract
The invention is suitable for the technical field of data compression, and provides a cloud desktop data compression self-adaptive encoding method, a system and storage equipment, wherein the method comprises the following steps: marking system files in the enterprise file management system; carrying out primary compression on the stored or uploaded user file containing the identifier to obtain a primary compressed file; and performing secondary compression on the primary compressed file containing the same identifier in the server. The invention can efficiently compress the same part of data of the user file and the system file and efficiently compress the same data among different user files by identifying the system file in the enterprise file management system, performing primary compression on the stored or uploaded user file containing the identification to obtain a primary compressed file and performing secondary compression on the primary compressed file containing the same identification in the server.
Description
Technical Field
The invention relates to the technical field of data compression, in particular to a cloud desktop data compression self-adaptive encoding method, a cloud desktop data compression self-adaptive encoding system and storage equipment.
Background
The cloud desktop is also called desktop virtualization and cloud computers, is a new mode for replacing the traditional computer, and after the cloud desktop is adopted, a user does not need to purchase a computer host, so that the purchase cost is saved, and the centralized storage and management of files are facilitated; therefore, the cloud desktop is widely applied to enterprises, and user files produced by enterprise employees in the working process are also centrally stored in the server.
The basic principle of the existing file compression algorithm is to find the same part in a file or find a character rule of the file, and replace the same frequently-occurring content in the file with a character occupying a smaller space, but the existing compression is specific to one file and cannot efficiently compress the same part of different files, and for enterprise files, different files often have higher similarity, such as inventory statistical data of each month, a work report of each employee, and the like.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a cloud desktop data compression self-adaptive encoding method, a cloud desktop data compression self-adaptive encoding system and a storage device, so as to solve the problems in the background technology.
The invention is realized in such a way that a cloud desktop data compression self-adaptive coding method comprises the following steps:
marking system files in the enterprise file management system;
carrying out primary compression on the stored or uploaded user file containing the identifier to obtain a primary compressed file;
and performing secondary compression on the primary compressed file containing the same identifier in the server.
As a further scheme of the invention: the step of identifying the system file in the enterprise file management system specifically includes:
establishing an enterprise file management system;
each system file in the enterprise file management system is specifically identified, that is, the identification of each system file is different.
As a further scheme of the invention: the step of compressing the stored or uploaded user file containing the identifier once to obtain a compressed file specifically comprises:
scanning all user files stored or uploaded by a user to obtain user files containing identifications;
extracting a corresponding identifier in the user file containing the identifier;
obtaining a system file containing the identifier in the enterprise file management system through the corresponding identifier;
and carrying out primary compression on the user file through the system file containing the identifier to obtain a primary compressed file.
As a further scheme of the invention: the step of compressing the user file once through the system file containing the identifier to obtain a compressed file includes:
scanning and comparing the user file and the system file to obtain the same part and different parts;
replacing the same part with simple characters, and converting the user file into a combination of the simple characters and the different parts to form a combined file;
and performing primary compression on the combined file to obtain a primary compressed file.
As a further scheme of the invention: the step of compressing the user file once through the system file containing the identifier to obtain a compressed file once further comprises:
establishing a simple character library;
receiving a simple character used instruction, and locking the simple character;
the contents of the file replaced by the simple characters are recorded.
As a further scheme of the invention: the step of performing secondary compression on the primary compressed file containing the same identifier in the server specifically comprises:
extracting the identifier in the primary compressed file;
classifying all the primary compressed files according to the identification to obtain a plurality of classes of compressed files;
and performing overall secondary compression on the compressed files of each category.
Another object of the present invention is to provide a cloud desktop data compression adaptive encoding system, which includes:
the system file identification module is used for identifying the system files in the enterprise file management system;
the primary compression module is used for carrying out primary compression on the stored or uploaded user file containing the identifier to obtain a primary compressed file; and
and the secondary compression module is used for carrying out secondary compression on the primary compressed file containing the same identifier in the server.
As a further scheme of the invention: the system file identification module comprises:
the enterprise file management system unit is used for establishing an enterprise file management system; and
the system file identification unit is used for specifically identifying each system file in the enterprise file management system, namely the identification of each system file is different.
As a further scheme of the invention: the primary compression module includes:
the user file scanning unit is used for scanning all user files stored or uploaded by a user to obtain the user files containing the identification;
the identification extraction unit is used for extracting the corresponding identification in the user file containing the identification;
the system file acquisition unit is used for acquiring a system file containing the identifier in the enterprise file management system through the corresponding identifier; and
and the primary compression unit is used for carrying out primary compression on the user file through the system file containing the identifier to obtain a primary compressed file.
Another object of the present invention is also to provide a storage medium, on which a computer program is stored, which, when executed by a processor, causes the processor to execute the steps of the cloud desktop data compression adaptive encoding method.
Compared with the prior art, the invention has the beneficial effects that: the invention can efficiently compress the same part of data of the user file and the system file and efficiently compress the same data among different user files by identifying the system file in the enterprise file management system, performing primary compression on the stored or uploaded user file containing the identification to obtain a primary compressed file, and performing secondary compression on the primary compressed file containing the same identification in the server.
Drawings
Fig. 1 is a flowchart of a cloud desktop data compression adaptive encoding method.
Fig. 2 is a flowchart illustrating a method for performing adaptive encoding for cloud desktop data compression to identify a system file in an enterprise file management system.
Fig. 3 is a flowchart of performing a first compression on a user file containing an identifier stored or uploaded in a cloud desktop data compression adaptive encoding method to obtain a first compressed file.
Fig. 4 is a flowchart of performing primary compression on the user file through the system file containing the identifier in the cloud desktop data compression adaptive encoding method to obtain a primary compressed file.
Fig. 5 is a flowchart of establishing a simple character library in a cloud desktop data compression adaptive encoding method.
Fig. 6 is a flowchart of performing secondary compression on a primary compressed file containing the same identifier in a server in a cloud desktop data compression adaptive encoding method.
Fig. 7 is a schematic structural diagram of a cloud desktop data compression adaptive encoding system.
Fig. 8 is a schematic structural diagram of a system file identification module in a cloud desktop data compression adaptive encoding system.
Fig. 9 is a schematic structural diagram of a primary compression module in a cloud desktop data compression adaptive encoding system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides a cloud desktop data compression adaptive encoding method, where the method includes the following steps:
s100, identifying system files in the enterprise file management system;
s200, carrying out primary compression on the stored or uploaded user file containing the identifier to obtain a primary compressed file;
and S300, performing secondary compression on the primary compressed file containing the same identifier in the server.
It should be noted that, the cloud desktop is also called desktop virtualization and cloud computer, and is a new mode for replacing the traditional computer, after the cloud desktop is adopted, a user does not need to purchase a computer host, components such as a CPU, a memory, a hard disk and the like included in the host are all virtualized in a server at the back end, a single server in the cloud desktop system can be used by a plurality of user terminals, the user terminals mainly comprise thin clients (devices similar to a television set-top box) and a display, and the user terminals can access a virtual machine host on the back end server through a specific communication protocol to realize interactive operation; therefore, the cloud desktop is widely applied to enterprises, and user files formed by enterprise employees in the working process are also stored in the server in a centralized manner.
It can be understood that, there are many similar places for user files in an enterprise, such as inventory statistics files, work report files, project report files, and the like, for a mature enterprise, some of the above files generally have special file templates, and employees obtain user files of employees by downloading the file templates and adding personal data.
In the embodiment of the invention, firstly, an enterprise file management system is required to be established, a manager can upload a file template required to be used in the working process of an enterprise to the enterprise file management system to form a system file, the system file can be automatically identified, when an enterprise user downloads the system file for use, a user file is formed, and the user file is attached with the identification, so that an original system file can be obtained through the identification in the user file, then the user file with the identification is compressed once through the original system file, and the user file and the original system file are required to be scanned and compared during the compression once to obtain the same part and different parts; the same part is replaced by simple characters, because the space occupied by the simple characters is very small, the user file is converted into the combination of the simple characters and the different parts to form a combined file, the combined file is compressed for one time to obtain a compressed file, and the compression algorithm of the compression for one time comprises an RLE algorithm, a Huffman algorithm and a Morse code;
it can be understood that the data of the primary compression is mainly the same part of the user file and the system file, but the part of the user file different from the system file is not compressed well, in order to solve the problem, the primary compression file containing the same identifier in the server needs to be compressed secondarily, so that different user files obtained by different employees through the same system file template can be compressed greatly, and the compression algorithms of the secondary compression include an RLE algorithm, a huffman algorithm and a morse code.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of identifying a system file in an enterprise file management system specifically includes:
s101, establishing an enterprise file management system;
s102, carrying out specific identification on each system file in the enterprise file management system, wherein the identification of each system file is different.
In the embodiment of the invention, in order to distinguish which system files are and conveniently identify the system files, an enterprise file management system needs to be established, all enterprise users can access the enterprise file management system and download the system files required by the enterprise users, and in addition, only an administrator can access the background of the enterprise file management system and upload the system files.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of compressing the stored or uploaded user file containing the identifier once to obtain a compressed file includes:
s201, scanning all user files stored or uploaded by a user to obtain user files containing identifications;
s202, extracting a corresponding identifier in the user file containing the identifier;
s203, obtaining a system file containing the identifier in the enterprise file management system through the corresponding identifier;
s204, carrying out primary compression on the user file through the system file containing the identifier to obtain a primary compressed file.
In the embodiment of the invention, all user files stored or uploaded by a user need to be scanned to obtain the user files containing the identification, the corresponding identification in the user files containing the identification is extracted, and finally, the user files are compressed for one time according to the system files containing the identification to obtain a compressed file, wherein the compression algorithm of the compression for one time comprises an RLE algorithm, a Huffman algorithm and a Morse code.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of compressing the user file once by using the system file containing the identifier to obtain a compressed file once specifically includes:
s2041, scanning and comparing the user file and the system file to obtain the same part and different parts;
s2042, replacing the same part with simple characters, and converting the user file into a combination of the simple characters and the different parts to form a combined file;
s2043, compressing the combined file for the first time to obtain a compressed file for the first time.
In the embodiment of the present invention, when a user file is compressed once, the user file and a corresponding system file need to be scanned and compared to obtain the same portion and different portions, for example, a certain user file is as shown in the following table:
the system files corresponding to the user files are shown in the following table:
it is clear that the user files and the system files have a large number of identical parts, which are now replaced with simple characters, which saves a lot of storage space.
As shown in fig. 5, as a preferred embodiment of the present invention, the step of compressing the user file once by using the system file containing the identifier to obtain a compressed file once further includes:
s2044, establishing a simple character library;
s2045, receiving a simple character used instruction, and locking the simple character;
s2046, recording the file content replaced by the simple character.
In the embodiment of the present invention, in order to avoid the simple characters from being reused and avoid the situation that the same simple characters correspond to different substitute contents, a simple character library is first established, for example, the simple character library is as shown in the following table:
when an instruction that the simple characters are used is received, the simple characters are immediately locked, the locked simple characters cannot be used again, meanwhile, file contents replaced by the simple characters are automatically recorded, subsequent decompression work is facilitated, and codes corresponding to the simple characters can be automatically generated through an algorithm.
As shown in fig. 6, as a preferred embodiment of the present invention, the step of performing secondary compression on the primary compressed file containing the same identifier in the server specifically includes:
s301, extracting the identification in the primary compressed file;
s302, classifying all the primary compressed files according to the identifiers to obtain a plurality of classes of compressed files;
s303, performing overall secondary compression on the compressed files of each category.
In the embodiment of the present invention, in the process of primary compression, the part of a user file different from a system file is not compressed well, and in order to solve the problem, a primary compressed file containing the same identifier in a server needs to be compressed for the second time, so that different user files obtained by different employees through the same system file template can be compressed greatly, the compression algorithms according to the secondary compression include an RLE algorithm, a huffman algorithm and morse codes, for example, the contents of different user files obtained through the same system file template are shown in the following table:
| user' s | Partial file content |
| User A | The following reports … … the work content for month 8 |
| User B | I report … … the work content of month 8 |
| User C | The following report … … is made for the work content of month 8 |
| User D | The following reports … … about the work content of month 8 and the work plan of month 9 |
It can be seen that different users have high similarity of file contents obtained by the same system file template (work report template), therefore, the characters of 'reporting the work content of 8 months' can be compressed during the secondary compression, and it should be noted that the basic principle of the compression algorithm is to find the same part in the file, compression is then performed, but if this work report file for user a is compressed alone, it is likely that the characters "report for work content for month 8 below … …" will appear only once, making further compression difficult, but the whole compression is carried out on the work report files of all the employees, more same parts can be found, the data compression effect is better, the secondary compression is based on the compression algorithms of RLE algorithm, Huffman algorithm and Morse coding.
As shown in fig. 7, an embodiment of the present invention further provides a cloud desktop data compression adaptive encoding system, where the system includes:
a system file identification module 100, configured to identify a system file in the enterprise file management system;
the primary compression module 200 is used for performing primary compression on the stored or uploaded user file containing the identifier to obtain a primary compressed file; and
and a secondary compression module 300, configured to perform secondary compression on the primary compressed file with the same identifier in the server.
In the embodiment of the invention, user files in an enterprise have many similar places, such as inventory statistics files, work report files, project report files and the like, for a mature enterprise, the files generally have special file templates, and employees obtain the user files of the employees by downloading the file templates and adding personal data.
In the embodiment of the invention, firstly, an enterprise file management system is required to be established, a manager can upload a file template required to be used in the working process of an enterprise to the enterprise file management system to form a system file, the system file can be automatically identified, when an enterprise user downloads the system file for use, a user file is formed, and the user file is attached with the identification, so that an original system file can be obtained through the identification in the user file, then the user file with the identification is compressed once through the original system file, and the user file and the original system file are required to be scanned and compared during the compression once to obtain the same part and different parts; the same part is replaced by simple characters, because the space occupied by the simple characters is very small, the user file is converted into the combination of the simple characters and the different parts to form a combined file, the combined file is compressed for one time to obtain a compressed file, and the compression algorithm of the compression for one time comprises an RLE algorithm, a Huffman algorithm and a Morse code;
it can be understood that the data of the primary compression is mainly the same part of the user file and the system file, but the part of the user file different from the system file is not compressed well, in order to solve the problem, the primary compression file containing the same identifier in the server needs to be compressed secondarily, so that different user files obtained by different employees through the same system file template can be compressed greatly, and the compression algorithms of the secondary compression include an RLE algorithm, a huffman algorithm and a morse code.
As shown in fig. 8, as a preferred embodiment of the present invention, the system file identification module 100 includes:
an enterprise file management system unit 101, configured to establish an enterprise file management system; and
the system file identification unit 102 is configured to perform specific identification on each system file in the enterprise file management system, that is, the identification of each system file is different.
In the embodiment of the invention, in order to distinguish which system files are and conveniently identify the system files, an enterprise file management system needs to be established, all enterprise users can access the enterprise file management system and download the system files required by the enterprise users, and in addition, only an administrator can access the background of the enterprise file management system and upload the system files.
As shown in fig. 9, as a preferred embodiment of the present invention, the primary compression module 200 includes:
a user file scanning unit 201, configured to scan all user files stored or uploaded by a user to obtain a user file containing an identifier;
the identifier extracting unit 202 is configured to extract a corresponding identifier from the user file containing the identifier;
the system file acquiring unit 203 is used for acquiring a system file containing the identifier in the enterprise file management system through the corresponding identifier; and
a primary compression unit 204, configured to perform primary compression on the user file through the system file containing the identifier to obtain a primary compressed file.
In the embodiment of the invention, all user files stored or uploaded by a user need to be scanned to obtain the user files containing the identification, the corresponding identification in the user files containing the identification is extracted, and finally, the user files are compressed for one time according to the system files containing the identification to obtain a compressed file, wherein the compression algorithm of the compression for one time comprises an RLE algorithm, a Huffman algorithm and a Morse code.
The embodiment of the invention also provides a storage medium, wherein a computer program is stored on the storage medium, and when the computer program is executed by a processor, the processor executes the steps of the cloud desktop data compression adaptive encoding method.
The present invention has been described in detail with reference to the preferred embodiments thereof, and it should be understood that the invention is not limited thereto, but is intended to cover modifications, equivalents, and improvements within the spirit and scope of the present invention.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A cloud desktop data compression adaptive encoding method is characterized by comprising the following steps:
marking system files in the enterprise file management system;
carrying out primary compression on the stored or uploaded user file containing the identifier to obtain a primary compressed file;
and performing secondary compression on the primary compressed file containing the same identifier in the server.
2. The cloud desktop data compression adaptive encoding method according to claim 1, wherein the step of identifying the system file in the enterprise file management system specifically includes:
establishing an enterprise file management system;
each system file in the enterprise file management system is specifically identified, that is, the identification of each system file is different.
3. The cloud desktop data compression adaptive encoding method according to claim 1, wherein the step of performing one-time compression on the stored or uploaded user file containing the identifier to obtain a one-time compressed file specifically comprises:
scanning all user files stored or uploaded by a user to obtain user files containing identifications;
extracting a corresponding identifier in the user file containing the identifier;
obtaining a system file containing the identifier in the enterprise file management system through the corresponding identifier;
and carrying out primary compression on the user file through the system file containing the identifier to obtain a primary compressed file.
4. The cloud desktop data compression adaptive encoding method according to claim 3, wherein the step of performing one-time compression on the user file through the system file containing the identifier to obtain a one-time compressed file specifically comprises:
scanning and comparing the user file and the system file to obtain the same part and different parts;
replacing the same part with simple characters, and converting the user file into a combination of the simple characters and the different parts to form a combined file;
and performing primary compression on the combined file to obtain a primary compressed file.
5. The cloud desktop data compression adaptive encoding method according to claim 4, wherein the step of compressing the user file once by using the system file containing the identifier to obtain a compressed file once further comprises:
establishing a simple character library;
receiving a simple character used instruction, and locking the simple character;
the contents of the file replaced by the simple characters are recorded.
6. The cloud desktop data compression adaptive encoding method according to claim 1, wherein the step of performing secondary compression on the primary compressed file containing the same identifier in the server specifically comprises:
extracting the identifier in the primary compressed file;
classifying all the primary compressed files according to the identification to obtain a plurality of classes of compressed files;
and performing overall secondary compression on the compressed files of each category.
7. A cloud desktop data compression adaptive encoding system, the system comprising:
the system file identification module is used for identifying the system files in the enterprise file management system;
the primary compression module is used for carrying out primary compression on the stored or uploaded user file containing the identifier to obtain a primary compressed file; and
and the secondary compression module is used for carrying out secondary compression on the primary compressed file containing the same identifier in the server.
8. The cloud desktop data compression adaptive encoding system of claim 7, wherein the system file identification module comprises:
the enterprise file management system unit is used for establishing an enterprise file management system; and
the system file identification unit is used for specifically identifying each system file in the enterprise file management system, namely the identification of each system file is different.
9. The cloud desktop data compression adaptive encoding system of claim 7, wherein the primary compression module comprises:
the user file scanning unit is used for scanning all user files stored or uploaded by a user to obtain the user files containing the identification;
the identification extraction unit is used for extracting the corresponding identification in the user file containing the identification;
the system file acquisition unit is used for acquiring a system file containing the identifier in the enterprise file management system through the corresponding identifier; and
and the primary compression unit is used for carrying out primary compression on the user file through the system file containing the identifier to obtain a primary compressed file.
10. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, causes the processor to perform the steps of the cloud desktop data compression adaptive encoding method according to any one of claims 1 to 6.
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