CN110572435A - Data processing method of cloud computing system - Google Patents
Data processing method of cloud computing system Download PDFInfo
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- CN110572435A CN110572435A CN201910718861.6A CN201910718861A CN110572435A CN 110572435 A CN110572435 A CN 110572435A CN 201910718861 A CN201910718861 A CN 201910718861A CN 110572435 A CN110572435 A CN 110572435A
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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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
- G06F2216/03—Data mining
Abstract
The invention discloses a data processing method of a cloud computing system, which specifically comprises the following steps: the method comprises the steps of S1, data entry and constraint condition editing, S2, data classification according to the constraint conditions, S3, integrated analysis of mining information, S4, matching, integrating and displaying of the mining data and the constraint conditions, and S5 and transmission of the mining information, and relates to the technical field of the Internet. According to the data processing method of the cloud computing system, the functions of the cloud data processing system can be greatly enriched, the intelligent mining and analysis of the associated data are well realized by applying the large database according to the types of the data required by the user, the purpose of improving the intelligent degree of data processing is achieved, the purpose of establishing a tree summary classifier and carrying out mining and integration on data through the user editing constraint conditions is realized, the purpose of carrying out association mining according to the integrated data information is well achieved, and therefore the cloud computing system is greatly convenient for people to use.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a data processing method of a cloud computing system.
background
cloud computing is a product of the development and fusion of traditional computers and network technologies, such as grid computing, distributed computing, parallel computing, utility computing, network storage, virtualization, load balancing and the like, and is often confused with grid computing, utility computing and autonomous computing, wherein the grid computing is a super virtual computer formed by a group of loosely coupled computers and is often used for executing large tasks, the utility computing is a packing and charging mode of IT resources, such as respectively measuring expenses according to computing and storage, like traditional public facilities such as electric power and the like, the autonomous computing is a computer system with a self-management function, in fact, many cloud computing deployments depend on the computer cluster (but are greatly different from the composition, architecture, purpose and working mode of a grid) and also absorb the characteristics of the autonomous computing and the utility computing, by distributing the computation over a large number of distributed computers, rather than local computers or remote servers, the operation of an enterprise data center will be more similar to the internet, which enables the enterprise to switch resources to desired applications, accessing computers and storage systems on demand.
The existing cloud-end data processing method is single, only can realize operation, control, storage and analysis of data, but cannot realize mining processing of the data, cannot realize intelligent mining and analysis of associated data by using a large database according to the type of the data required by a user, cannot achieve the purpose of improving the intelligent degree of data processing, cannot achieve the purpose of establishing a tree induction classifier and mining and integrating data through user editing constraint conditions, cannot achieve the purpose of performing association mining according to integrated data information, and therefore brings great inconvenience to people who utilize a cloud computing processing system.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a data processing method of a cloud computing system, which solves the problems that the existing cloud-end data processing method is single, can only realize the operation, control, storage and analysis of data, but can not realize the mining processing of the data, can not realize the intelligent mining and analysis of associated data by using a large database according to the type of the data required by a user, can not achieve the purpose of improving the intelligent degree of data processing, can not realize the purpose of establishing a tree induction classifier through user editing constraint conditions, carrying out the mining integration of the data, and can not achieve the purpose of carrying out the association mining according to the integrated data information.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a data processing method of a cloud computing system specifically comprises the following steps:
S1, data entry and constraint condition editing: firstly, cloud data are transmitted into a cloud computing system through a cloud computing data transmission unit to be processed, a cloud processing module controls a data classification channel characteristic editing module to edit classification constraint conditions into the system, and then a tree induction classifier processing module carries out tree induction algorithm classification processing on the transmitted data;
S2, data classification is carried out according to the constraint conditions: the classified data can be transmitted to a tree induction channel unit and divided into a plurality of channel feature modules, each channel feature module corresponds to one type of data, then a cloud processing module can control a data intelligent mining unit to mine data information, people can input the data information into the data intelligent mining unit through a mining condition input module in the data intelligent mining unit, then a cloud data extraction module can extract the data from a cloud big database module, then the data classification screening processing is carried out through a data classification screening module, and the screened data is subjected to the association processing of constraint conditions through a data intelligent association algorithm processing module;
S3, integrated analysis of mining information: then the cloud processing module controls a data feature integration module in the data feature processing unit to integrate the data after correlation processing, the data are analyzed and processed through a data feature analysis module, and the data are sent to the cloud processing module through an analysis result sending module after the analysis is finished;
S4, matching, integrating and displaying the mined data and the constraint conditions: the cloud processing module can transmit the analyzed data to the mining data analysis unit, the mining data integration module performs matching integration display on the data and constraint conditions after the mining data result receiving module pinched by the mining data analysis unit receives the data, and then the data are sent to the cloud processing module through the mining data sending module or are directly printed through the mining data printing module;
S5, transmission of mining information: the data after the excavation can be transmitted to the monitoring terminal through the wireless transceiver module to be consulted by managers, the cloud processing module can control the timestamp server to update the data in real time, and the cloud processing module can control the system security monitoring module to carry out all-around management on the security information of the system.
Preferably, in step S1, the output end of the cloud processing module is connected to the input ends of the cloud computing data transmission unit and the data classification channel feature editing module, respectively, and the output end of the cloud computing data transmission unit is connected to the input end of the data classification channel feature editing module.
Preferably, the tree induction channel feature unit in step S2 is composed of N channel feature modules, and an input end of the tree induction channel feature unit is connected to an output end of the tree induction classifier processing module.
preferably, the intelligent data mining unit in the step S2 includes a mining condition input module, a cloud data extraction module, a data classification screening module and an intelligent data association algorithm processing module, an output end of the mining condition input module is connected with an input end of the cloud data extraction module, an output end of the cloud data extraction module is connected with an input end of the data classification screening module, and an output end of the data classification screening module is connected with an input end of the intelligent data association algorithm processing module.
preferably, the data feature processing unit in step S3 includes a data feature integration module, a data feature analysis module, and an analysis result sending module, wherein an output end of the data feature integration module is connected to an input end of the data feature analysis module, and an output end of the data feature analysis module is connected to an input end of the analysis result sending module.
preferably, the mining data analysis unit in step S4 includes a mining data result receiving module, a mining data integration module, a mining data sending module, and a mining data printing module, where an output end of the mining data result receiving module is connected to an input end of the mining data integration module, and an output end of the mining data integration module is connected to input ends of the mining data sending module and the mining data printing module, respectively.
preferably, in step S5, the cloud processing module realizes wireless bidirectional connection with the monitoring terminal through the wireless transceiver module.
(III) advantageous effects
the invention provides a data processing method of a cloud computing system. Compared with the prior art, the method has the following beneficial effects: the data processing method of the cloud computing system specifically comprises the following steps: s1, data entry and constraint condition editing: firstly, cloud data are transmitted into a cloud computing system through a cloud computing data transmission unit to be processed, a cloud processing module can control a data classification channel feature editing module to edit classification constraint conditions into the system, and S2 performs data classification according to the constraint conditions: data after classification can convey to the tree and conclude that the passageway unit divides into a plurality of passageway characteristic modules, corresponds a type of data in every passageway characteristic module, then the high in the clouds processing module can control data intelligence mining unit and excavate the processing to data information, S3, the integrated analysis of mining information: then the cloud processing module can control a data feature integration module in the data feature processing unit to integrate the data after the association processing, and then the data feature analysis module is used for carrying out analysis processing, and S4, the mining data and the constraint conditions are matched, integrated and displayed: the cloud processing module can transmit the analyzed data to the mining data analysis unit, the mining data integration module performs matching integration display on the data and the constraint conditions after the mining data result receiving module pinched by the mining data analysis unit receives the data, and S5 transmits mining information: the mined data can be transmitted to a monitoring terminal through a wireless transceiver module for being consulted by managers, the cloud processing module can control the timestamp server to update the processing of the data in real time, the cloud processing module can control the system security monitoring module to carry out all-around management on the security information of the system, the functions of the cloud data processing system can be greatly enriched, the data can be operated, controlled, stored and analyzed, the mining processing of the data can be realized, the intelligent mining and analysis of the associated data through a large database according to the type of the data required by a user can be well realized, the purpose of improving the intelligent degree of the data processing can be achieved, the purpose of editing constraint conditions by the user, establishing a tree classifier and carrying out mining and integration on the data can be well achieved, and the purpose of carrying out association mining according to the integrated data information can be well achieved, thereby greatly facilitating the utilization of the cloud computing processing system by people.
drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of the intelligent data mining unit according to the present invention;
FIG. 3 is a schematic block diagram of the structure of the mining data analysis unit according to the present invention.
Detailed Description
the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Referring to fig. 1-3, an embodiment of the present invention provides a technical solution: a data processing method of a cloud computing system specifically comprises the following steps:
S1, data entry and constraint condition editing: firstly, cloud data are transmitted into a cloud computing system through a cloud computing data transmission unit to be processed, a cloud processing module controls a data classification channel characteristic editing module to edit classification constraint conditions into the system, and then a tree induction classifier processing module carries out tree induction algorithm classification processing on the transmitted data;
s2, data classification is carried out according to the constraint conditions: the classified data can be transmitted to a tree induction channel unit and divided into a plurality of channel feature modules, each channel feature module corresponds to one type of data, then a cloud processing module can control a data intelligent mining unit to mine data information, people can input the data information into the data intelligent mining unit through a mining condition input module in the data intelligent mining unit, then a cloud data extraction module can extract the data from a cloud big database module, then the data classification screening processing is carried out through a data classification screening module, and the screened data is subjected to the association processing of constraint conditions through a data intelligent association algorithm processing module;
S3, integrated analysis of mining information: then the cloud processing module controls a data feature integration module in the data feature processing unit to integrate the data after correlation processing, the data are analyzed and processed through a data feature analysis module, and the data are sent to the cloud processing module through an analysis result sending module after the analysis is finished;
S4, matching, integrating and displaying the mined data and the constraint conditions: the cloud processing module can transmit the analyzed data to the mining data analysis unit, the mining data integration module performs matching integration display on the data and constraint conditions after the mining data result receiving module pinched by the mining data analysis unit receives the data, and then the data are sent to the cloud processing module through the mining data sending module or are directly printed through the mining data printing module;
S5, transmission of mining information: the data after the excavation can be transmitted to the monitoring terminal through the wireless transceiver module to be consulted by managers, the cloud processing module can control the timestamp server to update the data in real time, and the cloud processing module can control the system security monitoring module to carry out all-around management on the security information of the system.
in the present invention, in step S1, the output end of the cloud processing module is connected to the input ends of the cloud computing data transmission unit and the data classification channel feature editing module, respectively, and the output end of the cloud computing data transmission unit is connected to the input end of the data classification channel feature editing module.
in the present invention, the tree induction channel feature unit in step S2 is composed of N channel feature modules, and the input end of the tree induction channel feature unit is connected to the output end of the tree induction classifier processing module.
In the invention, the data intelligent mining unit in step S2 includes a mining condition input module, a cloud data extraction module, a data classification screening module and a data intelligent association algorithm processing module, wherein an output end of the mining condition input module is connected with an input end of the cloud data extraction module, an output end of the cloud data extraction module is connected with an input end of the data classification screening module, and an output end of the data classification screening module is connected with an input end of the data intelligent association algorithm processing module.
In the present invention, the data feature processing unit in step S3 includes a data feature integration module, a data feature analysis module, and an analysis result sending module, wherein an output end of the data feature integration module is connected to an input end of the data feature analysis module, and an output end of the data feature analysis module is connected to an input end of the analysis result sending module.
In the present invention, the mining data analyzing unit in step S4 includes a mining data result receiving module, a mining data integrating module, a mining data sending module, and a mining data printing module, wherein an output end of the mining data result receiving module is connected to an input end of the mining data integrating module, and an output end of the mining data integrating module is connected to input ends of the mining data sending module and the mining data printing module, respectively.
in the invention, in step S5, the cloud processing module realizes wireless bidirectional connection with the monitoring terminal through the wireless transceiver module.
to sum up the above
The invention can greatly enrich the functions of the cloud data processing system, can realize the operation, control, storage and analysis of data, can realize the mining processing of the data, well realizes that the associated data is intelligently mined and analyzed by using the big database according to the type of the data required by a user, achieves the aim of improving the intelligent degree of data processing, realizes the establishment of a tree induction classifier through the editing constraint condition of the user, carries out mining integration of the data, well achieves the aim of carrying out association mining according to the integrated data information, and is greatly convenient for people to utilize the cloud computing processing system.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A data processing method of a cloud computing system is characterized in that: the method specifically comprises the following steps:
S1, data entry and constraint condition editing: firstly, cloud data are transmitted into a cloud computing system through a cloud computing data transmission unit to be processed, a cloud processing module controls a data classification channel characteristic editing module to edit classification constraint conditions into the system, and then a tree induction classifier processing module carries out tree induction algorithm classification processing on the transmitted data;
S2, data classification is carried out according to the constraint conditions: the classified data can be transmitted to a tree induction channel unit and divided into a plurality of channel feature modules, each channel feature module corresponds to one type of data, then a cloud processing module can control a data intelligent mining unit to mine data information, people can input the data information into the data intelligent mining unit through a mining condition input module in the data intelligent mining unit, then a cloud data extraction module can extract the data from a cloud big database module, then the data classification screening processing is carried out through a data classification screening module, and the screened data is subjected to the association processing of constraint conditions through a data intelligent association algorithm processing module;
S3, integrated analysis of mining information: then the cloud processing module controls a data feature integration module in the data feature processing unit to integrate the data after correlation processing, the data are analyzed and processed through a data feature analysis module, and the data are sent to the cloud processing module through an analysis result sending module after the analysis is finished;
S4, matching, integrating and displaying the mined data and the constraint conditions: the cloud processing module can transmit the analyzed data to the mining data analysis unit, the mining data integration module performs matching integration display on the data and constraint conditions after the mining data result receiving module pinched by the mining data analysis unit receives the data, and then the data are sent to the cloud processing module through the mining data sending module or are directly printed through the mining data printing module;
S5, transmission of mining information: the data after the excavation can be transmitted to the monitoring terminal through the wireless transceiver module to be consulted by managers, the cloud processing module can control the timestamp server to update the data in real time, and the cloud processing module can control the system security monitoring module to carry out all-around management on the security information of the system.
2. the data processing method of the cloud computing system according to claim 1, wherein: in step S1, the output end of the cloud processing module is connected to the input ends of the cloud computing data transmission unit and the data classification channel feature editing module, respectively, and the output end of the cloud computing data transmission unit is connected to the input end of the data classification channel feature editing module.
3. The data processing method of the cloud computing system according to claim 1, wherein: the tree induction channel feature unit in the step S2 is composed of N channel feature modules, and an input end of the tree induction channel feature unit is connected to an output end of the tree induction classifier processing module.
4. the data processing method of the cloud computing system according to claim 1, wherein: the intelligent data mining unit in the step S2 comprises a mining condition input module, a cloud data extraction module, a data classification screening module and an intelligent data association algorithm processing module, wherein the output end of the mining condition input module is connected with the input end of the cloud data extraction module, the output end of the cloud data extraction module is connected with the input end of the data classification screening module, and the output end of the data classification screening module is connected with the input end of the intelligent data association algorithm processing module.
5. The data processing method of the cloud computing system according to claim 1, wherein: the data feature processing unit in step S3 includes a data feature integration module, a data feature analysis module, and an analysis result sending module, where an output end of the data feature integration module is connected to an input end of the data feature analysis module, and an output end of the data feature analysis module is connected to an input end of the analysis result sending module.
6. The data processing method of the cloud computing system according to claim 1, wherein: the mining data analysis unit in the step S4 includes a mining data result receiving module, a mining data integration module, a mining data sending module, and a mining data printing module, an output end of the mining data result receiving module is connected to an input end of the mining data integration module, and an output end of the mining data integration module is connected to input ends of the mining data sending module and the mining data printing module, respectively.
7. The data processing method of the cloud computing system according to claim 1, wherein: in the step S5, the cloud processing module realizes wireless bidirectional connection with the monitoring terminal through the wireless transceiver module.
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Denomination of invention: A Data Processing Method for Cloud Computing Systems Effective date of registration: 20230616 Granted publication date: 20220211 Pledgee: Shanghai Rural Commercial Bank Co.,Ltd. Songjiang sub branch Pledgor: HUIRONG ELECTRONIC SYSTEM ENGINEERING LTD. Registration number: Y2023310000258 |
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