CN113900801A - Cloud platform data management system and method - Google Patents
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Abstract
The application discloses cloud platform data management system, the system includes: an input module for receiving input data; the format conversion module is used for carrying out format normalization on the input data to obtain intermediate data; the compression module is used for compressing the intermediate data to obtain compressed data; the encryption module is used for encrypting the compressed data to obtain encrypted compressed data; the storage module is used for storing the encrypted compressed data and converting the encrypted compressed data to obtain output data; and the output module is used for outputting the output data. The application also discloses a cloud platform data management method. By the aid of the system, an administrator is not required to manage data, the administrator does not have laziness, and the intelligent degree of cloud platform data management is improved.
Description
Technical Field
The application relates to the technical field of cloud platforms, in particular to a cloud platform data management system and method.
Background
The cloud computing platform is also called a cloud platform, and is a service based on hardware resources and software resources, and provides computing, network and storage capabilities. Cloud computing platforms can be divided into 3 classes: the cloud computing platform comprises a storage type cloud platform taking data storage as a main part, a computing type cloud platform taking data processing as a main part and a comprehensive cloud computing platform taking computing and data storage processing into consideration. Cloud platforms generally have the following features: hardware management is highly abstract to the user/purchaser, who does not know at all where the data is processed on which machines it is located, nor how it is processed, and when the user needs an application, the user indicates to the "cloud" and the result is presented on his screen for a short time. The distributed resources of cloud computing hide implementation details from the user and are ultimately presented to the user in an integrated form.
When the existing cloud platform data is managed, the data is mainly managed by an administrator, the dependency on the administrator is large, and the intelligent degree is low.
Disclosure of Invention
The application mainly aims to provide a cloud platform data management system and method, and aims to solve the technical problems that when existing cloud platform data are managed in the prior art, data are mainly managed through an administrator, the dependency on the administrator is large, and the intelligent degree is low.
In order to achieve the above object, the present application provides a cloud platform data management system, which includes:
an input module for receiving input data;
the format conversion module is used for carrying out format normalization on the input data to obtain intermediate data;
the compression module is used for compressing the intermediate data to obtain compressed data;
the encryption module is used for encrypting the compressed data to obtain encrypted compressed data;
the storage module is used for storing the encrypted compressed data and converting the encrypted compressed data to obtain output data;
and the output module is used for outputting the output data.
Optionally, the system further includes:
the classification identification module is used for classifying the intermediate data according to the data types to obtain classified data corresponding to different data classes;
the compression module is further configured to compress the hierarchical data corresponding to the different data levels to obtain compressed data.
Optionally, the classification identification module includes a plurality of identification units;
the classification identification module is further configured to perform identification processing on the classified data corresponding to the different data levels by using the plurality of identification units to obtain identification data, where the classified data of one data level corresponds to one identification unit;
the compression module is further configured to compress the identification data to obtain compressed data.
Optionally, the compression module comprises a plurality of compression units;
the compression module is configured to perform compression classification on the identification data according to the data type of the identification data to obtain compressed classification data corresponding to different compression classifications, and compress the compressed classification data corresponding to the different compression classifications by using a plurality of compression units to obtain the compressed data, where one compressed classification data corresponds to one compression unit.
Optionally, the classification identification module includes three identification units.
Optionally, the compression module comprises two compression units.
Optionally, the system further includes:
an extraction module for extracting the encrypted compressed data from the encryption module;
the hybrid cloud module is used for carrying out data classification on the compressed data to obtain public cloud data and private cloud data;
the storage module is further configured to store the public cloud data and the private cloud data, and convert the public cloud data and the private cloud data to obtain output data.
Optionally, the storage module includes:
the data import unit is used for importing the public cloud data and the private cloud data;
the data processing unit is used for analyzing and processing the public cloud data and the private cloud data to obtain result public cloud data and result private cloud data;
the output unit is used for performing parallel sequencing on the result public cloud data and the result private cloud data to obtain parallel display data and outputting the parallel display data;
the output module is further used for outputting the result public cloud data and the result private cloud data.
Optionally, the storage module further includes:
the bidirectional import unit is used for bidirectionally importing the result public cloud data and the result private cloud data to obtain import public cloud data and import private cloud data;
the data decompression unit is used for decompressing the imported public cloud data and the imported private cloud data to obtain decompressed public cloud data and decompressed private cloud data;
the export unit is used for exporting the decompressed public cloud data and the decompressed private cloud data to the output module;
the output module is further used for outputting the decompressed public cloud data and the decompressed private cloud data.
In addition, in order to achieve the above object, the present application further provides a cloud platform data management method, which is used for a cloud platform data management system, where the system includes an input module, a format conversion module, a compression module, an encryption module, a storage module, and an output module; the method comprises the following steps:
receiving input data through the input module;
carrying out format normalization on the input data through the format conversion module to obtain intermediate data;
compressing the intermediate data through the compression module to obtain compressed data;
encrypting the compressed data through the encryption module to obtain encrypted compressed data;
storing the encrypted compressed data through the storage module, and converting the encrypted compressed data to obtain output data;
and outputting the output data through the output module.
The technical scheme of this application has provided a cloud platform data management system, the system includes: an input module for receiving input data; the format conversion module is used for carrying out format normalization on the input data to obtain intermediate data; the compression module is used for compressing the intermediate data to obtain compressed data; the encryption module is used for encrypting the compressed data to obtain encrypted compressed data; the storage module is used for storing the encrypted compressed data and converting the encrypted compressed data to obtain output data; and the output module is used for outputting the output data.
Because, when the existing cloud platform data is managed, the data is mainly managed by an administrator, the dependency on the administrator is large, and the intelligent degree is low. In the technical scheme, each module in the cloud platform data management system automatically manages input data, obtains final output data and outputs the output data, an administrator does not need to manage the data, and the administrator does not have the laziness, so that the intelligent degree of cloud platform data management is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a cloud platform data management system according to a first embodiment of the present application;
fig. 2 is a schematic structural diagram of a cloud platform data management system according to a second embodiment of the present application;
FIG. 3 is a schematic structural diagram of a classification recognition module according to the present application;
FIG. 4 is a schematic diagram of a compression module according to the present application;
fig. 5 is a schematic structural diagram of a cloud platform data management system according to a third embodiment of the present application;
FIG. 6 is a schematic structural diagram of a memory module according to a first embodiment of the present application;
FIG. 7 is a schematic structural diagram of a memory module according to a second embodiment of the present application;
fig. 8 is a flowchart of a cloud platform data management method according to a first embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that all the directional indications (such as up, down, left, right, front, and rear … …) in the embodiment of the present application are only used to explain the relative position relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indication is changed accordingly.
In this application, unless expressly stated or limited otherwise, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, the meaning of "and/or" appearing throughout includes three juxtapositions, exemplified by "A and/or B" including either A or B or both A and B. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a first embodiment of a cloud platform data management system according to the present application, where the system includes: an input module 10, a format conversion module 20, a compression module 30, an encryption module 40, a storage module 50 and an output module 60; wherein,
an input module 10 for receiving input data;
the format conversion module 20 is configured to perform format normalization on the input data to obtain intermediate data;
a compression module 30, configured to compress the intermediate data to obtain compressed data;
the encryption module 40 is configured to encrypt the compressed data to obtain encrypted compressed data;
a storage module 50, configured to store the encrypted compressed data, and convert the encrypted compressed data to obtain output data;
and an output module 60, configured to output the output data.
It should be noted that the input data may be any form of data for being stored and managed by the cloud platform data management system, and the data format of the input data may also be various forms, which is not limited in this application. The input data may be generally sent by other devices, users, or servers, received by an input module of the cloud platform data management system.
Because the input data are in various forms and various formats, in order to facilitate the management and storage of the input data by the cloud platform data management system, the data format of the input data needs to be normalized, and the input data are converted into the same data format (wherein the normalized data format can be a personality-form data format and is set by a user based on requirements, which is not limited in the application).
Generally, in order to ensure that the occupied space of the input data is small, the input data needs to be compressed, that is, intermediate data corresponding to the input data is compressed by using a compression module to obtain compressed data, and similarly, in order to ensure that the data has higher security and integrity when the cloud platform data management system manages and stores the data, the compressed data corresponding to the input data needs to be encrypted by using an encryption module to obtain encrypted compressed data, wherein the encryption mode may be any encryption mode, such as symmetric encryption and asymmetric encryption.
The encrypted compressed data then needs to be stored and further processed for output by an output module to some device, server, user, or the like.
Further, referring to fig. 2, fig. 2 is a schematic structural diagram of a second embodiment of the cloud platform data management system of the present application, where the system further includes a classification identification module;
a classification identification module 70, configured to classify the intermediate data according to data types to obtain classified data corresponding to different data classes;
the compression module 30 is further configured to compress the hierarchical data corresponding to the different data levels to obtain compressed data.
It should be noted that, the classification and identification module may classify data according to the type of the data, and in this application, the classification of the data is three levels: the classification identification module corresponds to three identification units, namely classification data of a certain data level after classification corresponding to intermediate data. It can be understood that, in the present application, the hierarchical data corresponding to different data levels includes hierarchical data corresponding to three data levels, that is, intermediate data corresponding to input data, in the present application, the intermediate data is divided into three data levels, that is, first level data, second level data and third level data, by using the type of the intermediate data, one data level corresponds to one hierarchical data, and the intermediate data corresponds to three hierarchical data corresponding to three data levels.
And then, compressing the hierarchical data to obtain compressed data, wherein the compressed data comprises compressed data of the hierarchical data corresponding to different data levels.
Further, referring to fig. 3, fig. 3 is a schematic structural diagram of a classification recognition module according to the present application, where the classification recognition module 70 includes a plurality of recognition units, and one preprocessed data corresponds to one recognition unit;
the classification identification module 70 is further configured to perform identification processing on the classified data corresponding to the different data levels by using a plurality of identification units to obtain identification data, where the classified data of one data level corresponds to one identification unit;
the compression module 30 is further configured to compress the identification data to obtain compressed data.
In the application, a plurality of identification units in a classification identification module respectively identify the classification data corresponding to different data levels, the classification data of each data level is identified by one identification unit, the classification data input by one identification unit is identification data, and then all the identification data corresponding to all the identification units are the identification data. The compression module compresses all the identification data.
Further, referring to fig. 4, fig. 4 is a schematic structural diagram of a compression module of the present application, where the compression module 30 includes a plurality of compression units;
the compression module 30 is configured to perform compression classification on the identification data according to the data type of the identification data to obtain compressed classification data corresponding to different compression classifications, and compress the compressed classification data corresponding to the different compression classifications by using a plurality of compression units to obtain the compressed data, where one compressed classification data corresponds to one compression unit.
In the application, the identification data needs to be compressed and classified according to the data types, and compressed classified data corresponding to different compressed classes is obtained; and then compressing the compressed hierarchical data corresponding to different compression levels to obtain the compressed data. For example, for an identification data determined as a second-level data, it is determined as a first-level compression according to its data type and then it is subjected to a first-level compression by the first-level compression unit in the compression module, or for an identification data determined as a third-level data, it is determined as a second-level compression according to its data type and then it is subjected to a second-level compression by the second-level compression unit in the compression module. In the present application, the compression module has two compression units: the first-stage compression unit and the second-stage compression unit correspond to the compressed data corresponding to all the intermediate data of different levels and the compressed data of two compression levels.
Further, referring to fig. 5, fig. 5 is a schematic structural diagram of a third embodiment of the cloud platform data management system of the present application, where the system further includes:
an extraction module 80 for extracting the encrypted compressed data from the encryption module;
the hybrid cloud module 90 is configured to perform data classification on the compressed data to obtain public cloud data and private cloud data;
the storage module 50 is further configured to store the public cloud data and the private cloud data, and convert the public cloud data and the private cloud data to obtain output data.
The extraction module is used for extracting the encrypted compressed data from the encryption module, and then the hybrid cloud module performs data classification to obtain public cloud data and private cloud data, wherein the public cloud data is data shared by a plurality of users, and the private cloud data is data owned by a certain user. And the storage module is used for storing the public cloud data and the private cloud data, and converting the public cloud data and the private cloud data to obtain output data.
Further, referring to fig. 6, fig. 6 is a schematic structural diagram of a memory module according to a first embodiment of the present application; the memory module 50 includes:
a data importing unit 51, configured to import the public cloud data and the private cloud data;
the data processing unit 52 is configured to analyze and process the public cloud data and the private cloud data to obtain result public cloud data and result private cloud data;
the output unit 53 is configured to perform parallel sequencing on the result public cloud data and the result private cloud data to obtain parallel display data, and output the parallel display data;
the output module 60 is further configured to output the result public cloud data and the result private cloud data.
Further, referring to fig. 7, fig. 7 is a schematic structural diagram of a memory module according to a second embodiment of the present application; the memory module further includes:
a bidirectional import unit 54, configured to perform bidirectional import on the result public cloud data and the result private cloud data, so as to obtain import public cloud data and import private cloud data;
a data decompression unit 55, configured to decompress the imported public cloud data and the imported private cloud data to obtain decompressed public cloud data and decompressed private cloud data;
an export unit 56, configured to export the decompressed public cloud data and the decompressed private cloud data to the output module;
the output module 60 is further configured to output the decompressed public cloud data and the decompressed private cloud data.
The output unit of the storage module may output (or display) the parallel display data, where the parallel display data is the result public cloud data and the result private cloud data that are displayed in parallel and have an order. Meanwhile, the output of the output module is the decompressed public cloud data and the decompressed private cloud data which are decompressed.
Specifically, the connection mode of each module in the cloud platform data management system is as follows: the compression module comprises an inlet unit, a control unit, a primary compression unit and a secondary compression unit, wherein the output end of the inlet unit is connected with the input end of the control unit, and the output ends of the control unit are connected with the input ends of the primary compression unit and the secondary compression unit; the data classification and identification module comprises a primary data unit, a secondary data unit and a tertiary data unit, wherein the output end of the secondary data unit is connected with the input end of the primary data unit, and the output end of the tertiary data unit is connected with the input end of the secondary data unit; the storage module comprises a data import unit, a central processing unit (data processing unit), an output unit, a bidirectional import unit, a data decompression unit and an export unit, wherein the output end of the data import unit is connected with the input end of the central processing unit, the output end of the central processing unit is connected with the input end of the output unit, the output end of the output unit is connected with the input end of the bidirectional import unit, the output end of the bidirectional import unit is connected with the input end of the data decompression unit, and the output end of the data decompression unit is connected with the input end of the data export unit; the output end of the input module is connected with the input end of the format conversion module, the output end of the format conversion module is connected with the input end of the data classification identification module, the output end of the data classification identification module is connected with the input end of the compression module, the output end of the compression module is connected with the input end of the encryption module, the output end of the encryption module is connected with the input end of the extraction module, the output end of the extraction module is connected with the input end of the mixed cloud module, the output end of the mixed cloud module is connected with the input end of the storage module, the output end of the storage module is connected with the input end of the output module, and the mixed cloud module comprises a public cloud data unit and a private cloud data unit.
The technical scheme of this application has provided a cloud platform data management system, the system includes: an input module for receiving input data; the format conversion module is used for carrying out format normalization on the input data to obtain intermediate data; the compression module is used for compressing the intermediate data to obtain compressed data; the encryption module is used for encrypting the compressed data to obtain encrypted compressed data; the storage module is used for storing the encrypted compressed data and converting the encrypted compressed data to obtain output data; and the output module is used for outputting the output data.
Because, when the existing cloud platform data is managed, the data is mainly managed by an administrator, the dependency on the administrator is large, and the intelligent degree is low. In the technical scheme, each module in the cloud platform data management system automatically manages input data, obtains final output data and outputs the output data, an administrator does not need to manage the data, and the administrator does not have the laziness, so that the intelligent degree of cloud platform data management is improved.
Meanwhile, the arranged first-level data unit, the second-level data unit and the third-level data unit classify different types of information, the efficiency of data management is improved, and the first-level compression unit and the second-level compression unit are matched to compress the data information, so that the maximum utilization of the storage space is realized. And the data storage conversion of the public cloud data unit and the private cloud data unit is realized according to the data type by utilizing the computing resources of the public cloud data unit and the security of the private cloud data unit, so that the maximum utilization of the data is realized to obtain the optimal effect, and the purposes of saving money and safety are achieved by the personalized solution.
Referring to fig. 8, fig. 8 is a flowchart of a first embodiment of a cloud platform data management method according to the present application, where the method is used in a cloud platform data management system, and the system includes an input module, a format conversion module, a compression module, an encryption module, a storage module, and an output module; the method comprises the following steps:
step S11: receiving input data through the input module;
step S12: carrying out format normalization on the input data through the format conversion module to obtain intermediate data;
step S13: compressing the intermediate data through the compression module to obtain compressed data;
step S14: encrypting the compressed data through the encryption module to obtain encrypted compressed data;
step S14: storing the encrypted compressed data through the storage module, and converting the encrypted compressed data to obtain output data;
step S16: and outputting the output data through the output module.
It should be noted that, since the steps executed by the method of the present embodiment are the same as the steps of the system embodiment, the specific implementation and the achievable technical effects of the method of the present embodiment can refer to the foregoing embodiment, and are not described herein again.
The above description is only an alternative embodiment of the present application, and not intended to limit the scope of the present application, and all modifications and equivalents of the technical solutions that can be directly or indirectly applied to other related fields without departing from the spirit of the present application are intended to be included in the scope of the present application.
Claims (10)
1. A cloud platform data management system, the system comprising:
an input module for receiving input data;
the format conversion module is used for carrying out format normalization on the input data to obtain intermediate data;
the compression module is used for compressing the intermediate data to obtain compressed data;
the encryption module is used for encrypting the compressed data to obtain encrypted compressed data;
the storage module is used for storing the encrypted compressed data and converting the encrypted compressed data to obtain output data;
and the output module is used for outputting the output data.
2. The system of claim 1, wherein the system further comprises:
the classification identification module is used for classifying the intermediate data according to the data types to obtain classified data corresponding to different data classes;
the compression module is further configured to compress the hierarchical data corresponding to the different data levels to obtain compressed data.
3. The system of claim 2, wherein the classification recognition module comprises a plurality of recognition units;
the classification identification module is further configured to perform identification processing on the classified data corresponding to the different data levels by using the plurality of identification units to obtain identification data, where the classified data of one data level corresponds to one identification unit;
the compression module is further configured to compress the identification data to obtain compressed data.
4. The system of claim 3, wherein the compression module comprises a plurality of compression units;
the compression module is configured to perform compression classification on the identification data according to the data type of the identification data to obtain compressed classification data corresponding to different compression classifications, and compress the compressed classification data corresponding to the different compression classifications by using a plurality of compression units to obtain the compressed data, where one compressed classification data corresponds to one compression unit.
5. The system of claim 4, wherein the classification recognition module comprises three recognition units.
6. The system of claim 5, wherein the compression module comprises two compression units.
7. The system of claim 1, wherein the system further comprises:
an extraction module for extracting the encrypted compressed data from the encryption module;
the hybrid cloud module is used for carrying out data classification on the compressed data to obtain public cloud data and private cloud data;
the storage module is further configured to store the public cloud data and the private cloud data, and convert the public cloud data and the private cloud data to obtain output data.
8. The system of claim 7, wherein the storage module comprises:
the data import unit is used for importing the public cloud data and the private cloud data;
the data processing unit is used for analyzing and processing the public cloud data and the private cloud data to obtain result public cloud data and result private cloud data;
the output unit is used for performing parallel sequencing on the result public cloud data and the result private cloud data to obtain parallel display data and outputting the parallel display data;
the output module is further used for outputting the result public cloud data and the result private cloud data.
9. The system of claim 8, wherein the storage module further comprises:
the bidirectional import unit is used for bidirectionally importing the result public cloud data and the result private cloud data to obtain import public cloud data and import private cloud data;
the data decompression unit is used for decompressing the imported public cloud data and the imported private cloud data to obtain decompressed public cloud data and decompressed private cloud data;
the export unit is used for exporting the decompressed public cloud data and the decompressed private cloud data to the output module;
the output module is further used for outputting the decompressed public cloud data and the decompressed private cloud data.
10. The cloud platform data management method is characterized by being used for a cloud platform data management system, wherein the system comprises an input module, a format conversion module, a compression module, an encryption module, a storage module and an output module; the method comprises the following steps:
receiving input data through the input module;
carrying out format normalization on the input data through the format conversion module to obtain intermediate data;
compressing the intermediate data through the compression module to obtain compressed data;
encrypting the compressed data through the encryption module to obtain encrypted compressed data;
storing the encrypted compressed data through the storage module, and converting the encrypted compressed data to obtain output data;
and outputting the output data through the output module.
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| CN111698328A (en) * | 2020-06-13 | 2020-09-22 | 郑州智利信信息技术有限公司 | Enterprise big data analysis and processing platform based on hybrid cloud |
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