CN111813555B - Super-fusion infrastructure layered resource management system based on internet technology - Google Patents
Super-fusion infrastructure layered resource management system based on internet technology Download PDFInfo
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- 238000005065 mining Methods 0.000 claims abstract description 4
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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
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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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
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The invention discloses a hierarchical resource management system of a super-fusion infrastructure based on the internet technology, which is characterized by comprising a plurality of terminal devices, a super-fusion cloud platform and a hierarchical resource management platform; the terminal devices are connected with the super-fusion cloud platform through an internal network, and the super-fusion cloud platform is connected with the layered resource management platform through the internet; the terminal devices are connected with the layered resource management platform through an internal network; the hierarchical resource management platform is used for hierarchically storing and managing the data resources of the super-fusion cloud platform; the super-fusion cloud platform is used for aggregating to form a resource pool and transmitting the layered resource management platform; and the terminal equipment calls and acquires the data resources in the hierarchical resource management platform. The invention enables data browsing and retrieval mining to be faster and more accurate, enhances the utilization rate of information, can better store, analyze and express mass data, and has high reliability and good real-time property.
Description
Technical Field
The invention belongs to the field of system architecture, and particularly relates to a super-integration infrastructure layered resource management system based on the internet technology.
Background
With the development of economic technology, the super-fusion infrastructure gradually starts to be applied in various fields.
The hyper-converged infrastructure is an information infrastructure that integrates virtual computing resources and storage devices. In the architecture environment, the same set of unit equipment not only has resources and technologies such as computation, network, storage, server virtualization and the like, but also can be aggregated by the network, so that modular seamless transverse expansion is realized, and a uniform resource pool is formed.
The data resource deployment mode of the currently used super-fusion infrastructure hierarchical resource management system is direct storage or simple classified storage of data. Although such a storage method is very simple and easy to implement, the amount of stored information is very large, so that the system runs at a slow speed when data browsing and data retrieval are performed, and the accuracy is poor when data retrieval and acquisition are performed. This makes the current technical solution completely unable to meet the requirements of enterprises
Disclosure of Invention
The invention aims to provide a hierarchical resource management system based on an Internet technology and based on a super-fusion infrastructure, which is high in reliability and good in real-time performance.
The invention provides a hierarchical resource management system of a super-fusion infrastructure based on the internet technology, which comprises a plurality of terminal devices, a super-fusion cloud platform and a hierarchical resource management platform; the terminal devices are connected with the super-fusion cloud platform through an internal network, and the super-fusion cloud platform is connected with the layered resource management platform through the internet; the terminal devices are connected with the layered resource management platform through an internal network; the hierarchical resource management platform is used for hierarchically storing and managing the data resources of the super-fusion cloud platform; the super-fusion cloud platform is used for aggregating a plurality of terminal devices through a network, aggregating data resources of the plurality of terminal devices to form a resource pool and transmitting the layered resource management platform; and the terminal equipment is used for calling and acquiring the data resources in the hierarchical resource management platform through the internal network.
The hierarchical resource management platform comprises a data hierarchical processing unit and a data mining acquisition unit; the data layering processing unit is used for acquiring data resources from the super-fusion cloud platform, and performing layering processing and storage; the data mining acquisition unit is used for mining, retrieving, responding and displaying the acquired data resources.
The data layering processing unit comprises a data integration processing unit, a data re-layering processing unit, a component table definition unit and a database; the data integration processing unit is used for acquiring data resources from the super-fusion cloud platform and preprocessing the acquired data resources; the data re-layering processing unit is used for carrying out layering processing on the preprocessed data resources layer by layer and creating a data component table for each layering; the component table definition unit is used for scanning each layer of data resource after layering to extract label information and then writing the label information into the data component table; the database is used for combining and storing the hierarchically processed data resources and the corresponding data component table.
The data re-layering processing unit is used for performing layer-by-layer layering processing on the preprocessed data resources and creating a data component table for each layer, the layer-by-layer layering processing of the data resources is specifically to perform layer-by-layer layering processing according to the content and the membership of the related data resources, and develop each type of membership layer relationship to the lower layer one by one, wherein the data component table is used for scanning each layer of data resources after layering to extract label information and then writing the label information into the data component table.
The tag information specifically comprises hierarchical project information of the data and structural definition of the hierarchical data resources, and the structural definition reflects the hierarchical association mode between the hierarchical data resources after hierarchy.
The data integration processing unit comprises a data acquisition module, a repeated data deleting module, a data processing module and a data integration module; the data acquisition module is used for acquiring data resources of a plurality of terminal devices from the super-fusion cloud platform; the repeated data deleting module is used for scanning and retrieving the acquired data resources and deleting repeated data information; the data processing module is used for carrying out format integration on the data resources, so that the formats of the data resources can be identified by the data hierarchical processing unit; the data integration module is used for integrating and transmitting the processed data resources.
The data re-layering processing unit comprises a layer-by-layer refinement table entry module, a data layering processing module and a layering data component table building module; the layer-by-layer refinement table entry module is used for entering a layering rule for layering processing of the data resources and forming a layer-by-layer refinement table, and the layer-by-layer refinement table is used for defining and assigning a structure for layering processing of the data resources and metadata; the data layering processing module is used for layering the data resources layer by layer according to the input layer-by-layer refinement table information; the hierarchical data component table establishing module is used for establishing a hierarchical data component table for each layer of data resources corresponding to the data resources after hierarchical processing, the hierarchical data component table is used for storing the structural definition of the hierarchical data resources, and the hierarchical association mode between the hierarchical data resources after the hierarchy is reflected through the structural definition.
The method comprises the steps of inputting a layering rule for layering processing of data resources and forming a layer-by-layer refinement table, wherein the layering rule is used for layering processing of the data resources layer by layer according to related data resource contents and membership relations, each type of membership relation is expanded towards the lower layer one by one, the layer-by-layer refinement table is used for inputting the layering processing layering rule of the data resources, and the layer-by-layer refinement table is used for defining and assigning a structure and metadata of the layer-by-layer layering processing of the data resources.
The component table definition unit comprises a hierarchical data feature extraction module, a hierarchical data source information extraction module and an information writing module; the layered data feature extraction module is used for scanning, analyzing and processing each layer of data resources after layered processing to obtain feature information of each layer of data resources; the hierarchical data source information extraction module is used for reading the source information of each layer of data resources after hierarchical processing, transmitting the acquired source information to the information writing module, and writing the acquired source information into the corresponding hierarchical data component table through the information writing module; the information writing module is used for writing the characteristic information acquired by the hierarchical data characteristic extraction module into a hierarchical data component table in each corresponding layer of data resource.
The data mining acquisition unit comprises a data component table extraction module, a data component table response module, a retrieval response module and an integration display module; the data component table extraction module is used for extracting the data component table after hierarchical processing when data mining retrieval is carried out; the data component table response module is used for responding according to the data component table extracted by the staff and acquiring data; the retrieval response module is used for retrieving data resources according to retrieval information input by workers, responding and acquiring data; and the integration display module is used for displaying the data acquired in response.
According to the hierarchical resource management system based on the super-fusion infrastructure of the internet technology, the data resources are hierarchically processed layer by layer through the data hierarchical processing unit, the hierarchical data component table is correspondingly established for the hierarchical data resources, and the hierarchical association mode of the hierarchical data resources, the characteristics of the hierarchical data resources and the data sources are displayed by storing the data structure definition, the data characteristic information and the data source information through the hierarchical data component table, so that the data browsing and searching are quicker and more accurate, the utilization rate of information is enhanced, massive data can be better stored, analyzed and expressed, and the system is high in reliability and good in real-time performance.
Drawings
FIG. 1 is a functional block diagram of the system of the present invention.
FIG. 2 is a functional block diagram of a hierarchical resource management platform according to the present invention.
FIG. 3 is a functional block diagram of a data hierarchy processing unit according to the present invention.
FIG. 4 is a functional block diagram of a data integration processing unit according to the present invention.
FIG. 5 is a functional block diagram of a data re-hierarchy processing unit of the present invention.
FIG. 6 is a functional block diagram of a component table definition unit of the present invention.
FIG. 7 is a functional block diagram of a data mining acquisition unit of the present invention.
Detailed Description
FIG. 1 shows a functional block diagram of the system of the present invention: the invention provides a hierarchical resource management system of a super-fusion infrastructure based on the internet technology, which comprises a plurality of terminal devices, a super-fusion cloud platform and a hierarchical resource management platform; the terminal devices are connected with the super-fusion cloud platform through an internal network, and the super-fusion cloud platform is connected with the layered resource management platform through the internet; the terminal devices are connected with the layered resource management platform through an internal network; the hierarchical resource management platform is used for hierarchically storing and managing the data resources of the super-fusion cloud platform; the super-fusion cloud platform is used for aggregating a plurality of terminal devices through a network, aggregating data resources of the plurality of terminal devices to form a resource pool and transmitting the layered resource management platform; and the terminal equipment is used for calling and acquiring the data resources in the hierarchical resource management platform through the internal network.
FIG. 2 is a functional block diagram of the hierarchical resource management platform of the present invention: the hierarchical resource management platform comprises a data hierarchical processing unit and a data mining acquisition unit; the data layering processing unit is used for acquiring data resources from the super-fusion cloud platform, and performing layering processing and storage; the data mining acquisition unit is used for mining, retrieving, responding and displaying the acquired data resources.
FIG. 3 is a functional block diagram of a data hierarchy processing unit according to the present invention: the data layering processing unit comprises a data integration processing unit, a data re-layering processing unit, a component table definition unit and a database; the data integration processing unit is used for acquiring data resources from the super-fusion cloud platform and preprocessing the acquired data resources; the data re-layering processing unit is used for carrying out layering processing on the preprocessed data resources layer by layer and creating a data component table for each layering; the component table definition unit is used for scanning each layer of data resource after layering to extract label information and then writing the label information into the data component table; the database is used for combining and storing the hierarchically processed data resources and the corresponding data component table.
In specific implementation, the data re-layering processing unit is configured to perform layer-by-layer layering processing on the preprocessed data resources, and create a data component table for each layer, where the layer-by-layer layering processing of the data resources is specifically to perform layer-by-layer layering processing according to the content and membership of the related data resources, and expand each type of membership relationship to the lower layer one by one, where the data component table is used to scan each layer of data resources after layering to extract tag information, and then write the tag information into the data component table, and the structure definition of the particular data item information of the tag information and the layered data resources reflects the hierarchical association manner between the layered data resources after layering through the structure definition.
FIG. 4 is a functional block diagram of the data integration processing unit of the present invention: the data integration processing unit comprises a data acquisition module, a repeated data deleting module, a data processing module and a data integration module; the data acquisition module is used for acquiring data resources of a plurality of terminal devices from the super-fusion cloud platform; the repeated data deleting module is used for scanning and retrieving the acquired data resources and deleting repeated data information; the data processing module is used for carrying out format integration on the data resources, so that the formats of the data resources can be identified by the data hierarchical processing unit; the data integration module is used for integrating and transmitting the processed data resources.
FIG. 5 is a functional block diagram of the data re-hierarchy processing unit of the present invention: the data re-layering processing unit comprises a layer-by-layer refinement table entry module, a data layering processing module and a layering data component table building module; the layer-by-layer refinement table entry module is used for entering a layering rule for layering processing of the data resources and forming a layer-by-layer refinement table, and the layer-by-layer refinement table is used for defining and assigning a structure for layering processing of the data resources and metadata; the data layering processing module is used for layering the data resources layer by layer according to the input layer-by-layer refinement table information; the hierarchical data component table establishing module is used for establishing a hierarchical data component table for each layer of data resources corresponding to the data resources after hierarchical processing, the hierarchical data component table is used for storing the structural definition of the hierarchical data resources, and the hierarchical association mode between the hierarchical data resources after the hierarchy is reflected through the structural definition.
In specific implementation, a layering rule for performing layering processing on the data resource is input, a layer-by-layer refinement table is formed, the layering rule is specifically used for performing layer-by-layer layering processing according to related data resource content and membership, each type of membership is expanded towards the lower layer one by one, the layer-by-layer refinement table is used for inputting a layering processing layering rule for the data resource, and the layer-by-layer refinement table is used for defining and assigning a structure for performing layer-by-layer layering processing on the data resource and metadata.
FIG. 6 is a functional block diagram of the component table definition unit of the present invention: the component table definition unit comprises a hierarchical data feature extraction module, a hierarchical data source information extraction module and an information writing module; the layered data feature extraction module is used for scanning, analyzing and processing each layer of data resources after layered processing to obtain feature information of each layer of data resources; the hierarchical data source information extraction module is used for reading the source information of each layer of data resources after hierarchical processing, transmitting the acquired source information to the information writing module, and writing the acquired source information into the corresponding hierarchical data component table through the information writing module; the information writing module is used for writing the characteristic information acquired by the hierarchical data characteristic extraction module into a hierarchical data component table in each corresponding layer of data resource.
FIG. 7 is a functional block diagram of the data mining acquisition unit of the present invention: the data mining acquisition unit comprises a data component table extraction module, a data component table response module, a retrieval response module and an integration display module; the data component table extraction module is used for extracting the data component table after hierarchical processing when data mining retrieval is carried out; the data component table response module is used for responding according to the data component table extracted by the staff and acquiring data; the retrieval response module is used for retrieving data resources according to retrieval information input by workers, responding and acquiring data; and the integration display module is used for displaying the data acquired in response.
Claims (6)
1. A super-fusion infrastructure layered resource management system based on the Internet technology is characterized by comprising a plurality of terminal devices, a super-fusion cloud platform and a layered resource management platform; the terminal devices are connected with the super-fusion cloud platform through an internal network, and the super-fusion cloud platform is connected with the layered resource management platform through the internet; the terminal devices are connected with the layered resource management platform through an internal network; the hierarchical resource management platform is used for hierarchically storing and managing the data resources of the super-fusion cloud platform; the super-fusion cloud platform is used for aggregating a plurality of terminal devices through a network, aggregating data resources of the plurality of terminal devices to form a resource pool and transmitting the layered resource management platform; the terminal equipment is used for calling and acquiring data resources in the hierarchical resource management platform through the internal network;
the hierarchical resource management platform comprises a data hierarchical processing unit and a data mining acquisition unit; the data layering processing unit is used for acquiring data resources from the super-fusion cloud platform, and performing layering processing and storage; the data mining acquisition unit is used for mining, retrieving, responding and displaying the acquired data resources;
the data layering processing unit comprises a data integration processing unit, a data re-layering processing unit, a component table definition unit and a database; the data integration processing unit is used for acquiring data resources from the super-fusion cloud platform and preprocessing the acquired data resources; the data re-layering processing unit is used for carrying out layering processing on the preprocessed data resources layer by layer and creating a layered data component table for each layer; the component table definition unit is used for scanning each layer of data resource after layering to extract label information and then writing the label information into the layered data component table; the database is used for combining and storing the hierarchically processed data resources and the corresponding hierarchical data component table; the data re-layering processing unit is used for performing layer-by-layer layering processing on the preprocessed data resources, creating a layered data component table for each layer, specifically performing layer-by-layer layering processing according to the content and membership of related data resources, and expanding each type of membership layer relationship to the lower layer one by one, wherein the layered data component table is used for scanning each layer of data resources after layering to extract label information and then writing the label information into the layered data component table; the tag information specifically comprises the structure definition of the hierarchical data resources and the hierarchical project information of the data, and the hierarchical association mode of the hierarchical data resources is reflected through the structure definition.
2. The hierarchical resource management system based on the internet technology super-converged infrastructure according to claim 1, wherein the data integration processing unit comprises a data acquisition module, a data de-duplication module, a data processing module and a data integration module; the data acquisition module is used for acquiring data resources of a plurality of terminal devices from the super-fusion cloud platform; the repeated data deleting module is used for scanning and retrieving the acquired data resources and deleting repeated data information; the data processing module is used for carrying out format integration on the data resources, so that the formats of the data resources can be identified by the data hierarchical processing unit; the data integration module is used for integrating and transmitting the processed data resources.
3. The hierarchical resource management system of the ultra-converged infrastructure based on the internet technology according to claim 2, wherein the data re-layering processing unit comprises a layer-by-layer refinement table entry module, a data layering processing module and a layered data component table establishment module; the layer-by-layer refinement table entry module is used for entering a layering rule for layering processing of the data resources and forming a layer-by-layer refinement table, and the layer-by-layer refinement table is used for defining and assigning a structure for layering processing of the data resources and metadata; the data layering processing module is used for layering the data resources layer by layer according to the input layer-by-layer refinement table information; the hierarchical data component table establishing module is used for establishing a hierarchical data component table for each layer of data resources corresponding to the data resources after hierarchical processing, the hierarchical data component table is used for storing the structural definition of the hierarchical data resources, and the hierarchical association mode between the hierarchical data resources is reflected through the structural definition.
4. The hierarchical resource management system of the super-fusion infrastructure based on the internet technology as claimed in claim 3, wherein the hierarchical rules for performing the hierarchical processing on the data resources are entered and a layer-by-layer refinement table is formed, and specifically, the hierarchical rules are performed layer-by-layer hierarchical processing according to the content and the membership of the related data resources, each affiliation layer relationship is developed to the lower layer one by one, the layer-by-layer refinement table is used for entering the hierarchical processing rules for performing the hierarchical processing on the data resources, and the layer-by-layer refinement table is used for defining and assigning the structure and the metadata of the layer-by-layer hierarchical processing on the data resources.
5. The hierarchical resource management system of the ultra-converged infrastructure based on internet technology of claim 4, wherein the component table definition unit includes a hierarchical data feature extraction module, a hierarchical data source information extraction module and an information writing module; the layered data feature extraction module is used for scanning, analyzing and processing each layer of data resources after layered processing to obtain feature information of each layer of data resources; the hierarchical data source information extraction module is used for reading the source information of each layer of data resources after hierarchical processing, transmitting the acquired source information to the information writing module, and writing the acquired source information into the corresponding hierarchical data component table through the information writing module; the information writing module is used for writing the characteristic information acquired by the hierarchical data characteristic extraction module into a hierarchical data component table in each corresponding layer of data resource.
6. The hierarchical resource management system based on the Internet technology super-converged infrastructure according to claim 5, wherein the data mining acquisition unit comprises a data component table extraction module, a data component table response module, a retrieval response module and an integration display module; the data component table extraction module is used for extracting the layered data component table after the layering processing during data mining retrieval; the data component table response module is used for responding according to the hierarchical data component table extracted by the staff and acquiring data; the retrieval response module is used for retrieving data resources according to retrieval information input by workers, responding and acquiring data; and the integration display module is used for displaying the data acquired in response.
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