CN110046143B - Integrated architecture optimization system and optimization method of integrated data platform - Google Patents
Integrated architecture optimization system and optimization method of integrated data platform Download PDFInfo
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- CN110046143B CN110046143B CN201910160776.2A CN201910160776A CN110046143B CN 110046143 B CN110046143 B CN 110046143B CN 201910160776 A CN201910160776 A CN 201910160776A CN 110046143 B CN110046143 B CN 110046143B
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses an integral architecture optimization system of an integrated data platform, which belongs to the technical field of platform optimization and comprises a database, wherein the database is electrically output and connected with a database running state monitoring module, the database running state monitoring module is electrically output and connected with a management end and an optimization scheme selection module, a hard disk and a server are both electrically connected with an allocation adjustment module in a bidirectional mode, the allocation adjustment module is electrically connected with an optimization model generation module in a bidirectional mode, an adjustment command confirmation module is electrically input and connected with the management end, and the allocation adjustment module is electrically output and connected with a process optimization module, a process optimization module and an optimization module, and the server is electrically output and connected.
Description
Technical Field
The invention relates to the technical field of platform optimization, in particular to an integral architecture optimization system and an integral architecture optimization method of an integrated data platform.
Background
The database is the most important data storage device in the current big data era, the operation quality of the database directly influences the value and the effect of data, in the peak period, too many people use the database, the operation speed of the database is easy to slow, the database is blocked, even the server is crashed, at this moment, the server needs to be optimized, the traditional mode is that a manager needs to manually optimize the server, the operation efficiency of the server is improved, if the database is operated at the highest efficiency all the time, a large amount of energy is wasted, and therefore, an integral framework optimization system and an optimization method of an integral data platform are provided.
Disclosure of Invention
The present invention is directed to provide an overall architecture optimization system for an integrated data platform, so as to solve the problems set forth in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: the integral architecture optimization system of the integrated data platform comprises a database, a database electrical output connection database running state monitoring module, a database running state monitoring module electrical output connection management terminal and an optimization scheme selection module, a management terminal electrical output connection optimization scheme selection module, an optimization scheme selection module electrical output connection optimization model generation module, an optimization model generation module electrical output optimization model analysis module, an optimization model analysis module electrical output connection algorithm adjustment module, an algorithm adjustment module bidirectional electrical connection optimization model generation module, a database bidirectional electrical output connection hard disk and a server, a hard disk and a server are both in bidirectional electrical connection distribution adjustment module, a distribution adjustment module bidirectional electrical connection optimization model generation module, an optimization model generation module electrical input connection adjustment command confirmation module, an adjustment command confirmation module electrical input connection management terminal, a distribution adjustment module electrical output connection process optimization module electrical output connection server.
Preferably, the distribution adjustment module comprises a server monitoring module and a hard disk monitoring module, the server monitoring module is electrically connected with the analysis module in an output mode, the analysis module is electrically connected with the hard disk monitoring module in a bidirectional mode, and the hard disk monitoring module is electrically connected with the hard disk distribution module in an output mode.
Preferably, the hard disk monitoring module is electrically connected with the hard disk in an input mode, the hard disk monitoring module is electrically connected with the server in an input mode, the hard disk monitoring module is electrically connected with the optimization model generation module in an input mode, the server monitoring module is electrically connected with the process optimization module in an output mode, and the hard disk distribution module is electrically connected with the hard disk in an output mode.
Preferably, the optimization model generation module comprises a model adjusting module, the model adjusting module is electrically connected with the model generation module in an output mode, the model adjusting module is electrically connected with the distribution adjusting module and the algorithm adjusting module in an output mode, and the model generation module is electrically connected with the optimization model analysis module in an output mode.
Preferably, the process optimization module comprises a process analysis module, the process analysis module is electrically connected with the process ending module in output, the process analysis module is electrically connected with the distribution adjustment module in input, and the process ending module is electrically connected with the server in output.
Preferably, the optimization scheme selection module comprises a manual selection module and an automatic selection module, and the manual selection module and the automatic selection module both electrically output the connection scheme library.
Preferably, the manual selection module is electrically input and connected with the management terminal, the automatic selection module is electrically input and connected with the database running state monitoring module, and the scheme library is electrically output and connected with the optimization model generation module.
Preferably, the optimization method of the integral architecture optimization system of the integrated data platform comprises the following steps:
s1, a database running state monitoring module monitors the running condition of a database, automatically analyzes the running condition and transmits analyzed data to an optimization scheme selection module, the optimization scheme selection module automatically selects an optimization scheme according to the data of the database running state monitoring module, an allocation adjustment module analyzes the running states of a hard disk and a server and transmits the data to an optimization model generation module, the database running state monitoring module also generates a data transmission word optimization model into the optimization model, and the optimization model generation module automatically generates an optimization model according to the data of the allocation adjustment module and the database running state monitoring module and the scheme of the optimization scheme selection module;
s2, the optimization model analysis module analyzes the model generated in the optimization model generation module, near adjustment is carried out through the algorithm adjustment module, then the model is optimized through data of the distribution adjustment module and the database running state monitoring module, the optimization model analysis module transmits an analysis result to the database running state monitoring module, so that people can conveniently check the analysis result, and after people see the analysis result and decide to adopt an analysis scheme, a control command is sent out through the adjustment command confirmation module;
and S3, the allocation adjusting module adjusts and allocates the storage space of the hard disk according to the model in the optimization model generating module, and transmits an adjusting command to the process optimizing module, and the process optimizing module identifies and actively finishes useless running programs, so that the running speed of the server is increased, and the performance of the database is optimized.
Compared with the prior art, the invention has the beneficial effects that:
1. the operation condition of the database is monitored by the database operation state monitoring module, the data is analyzed and then transmitted to the management terminal and the optimization scheme selection module, multiple optimization schemes can be selected in the optimization scheme selection module, different optimization schemes can be selected according to the specific operation scheme of the database operation state monitoring module, and the database operation state monitoring module is efficient in operation and energy-saving;
2. according to the invention, the optimization model generation module is electrically input to the connection algorithm adjustment module and the distribution adjustment module, the optimization model analysis module can adjust the scheme in the optimization model generation module in real time, the optimization effect can be predicted in advance through the simulation of the model, and the distribution adjustment module and the process optimization module respectively adjust the hard disk and the server, so that the operation of the database can reach the highest efficiency, and the value of data is improved.
Drawings
FIG. 1 is a schematic diagram of the present invention;
FIG. 2 is a schematic block diagram of a distribution adjustment module of the present invention;
FIG. 3 is a schematic block diagram of an optimization model generation module of the present invention;
FIG. 4 is a functional block diagram of an optimization selection module according to the present invention;
FIG. 5 is a block diagram of the process optimization module of 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: an integral framework optimization system of an integrated data platform comprises a database 1, wherein the database 1 is electrically connected with a database running state monitoring module 2 in an output mode and used for monitoring the running condition of the database 1, the database running state monitoring module 2 is electrically connected with a management terminal 3 and an optimization scheme selection module 4, a manager checks monitoring information through the management terminal 3, the optimization scheme selection module 4 automatically judges data of the database running state monitoring module 2 and selects an optimization scheme, the management terminal 3 is electrically connected with the optimization scheme selection module 4, the manager can also manually select the scheme through the management terminal 3, the optimization scheme selection module 4 is electrically connected with an optimization model generation module 5 to generate an optimization model, the optimization model generation module 5 is electrically connected with an optimization model analysis module 6, the generated model is calculated, the optimization efficiency is analyzed, the optimization model analysis module 6 is electrically connected with an algorithm adjustment module 7 to adjust the algorithm of the database, the algorithm adjustment module 7 is electrically connected with the optimization model generation module 5 in a bidirectional mode, the database 1 is electrically connected with a hard disk 8 and a server 9 in a bidirectional mode, and the running conditions of the hard disk 8 and the server 9 are analyzed, and the hard disk 8 is adjusted, the hard disk 8 and the server 9 are both electrically connected with the distribution adjusting module 10 in a bidirectional way, the distribution adjusting module 10 is electrically connected with the optimization model generating module 5 in a bidirectional way, the optimization model generation module 5 is optimized according to the data of the distribution adjustment module 10, the optimization model generation module 5 is electrically connected with the adjustment command confirmation module 11 in an input mode, the adjustment command confirmation module 11 is electrically connected with the management terminal 3 in an input mode, and the distribution adjustment module 10 is electrically connected with the process optimization module 12 in an output mode, and the process optimization module 12 is electrically connected with the server 9 in an output mode.
The distribution adjusting module 10 comprises a server monitoring module 101 and a hard disk monitoring module 102, the server monitoring module 101 is electrically connected with an analysis module 103 in an output mode, the analysis module 103 is electrically connected with the hard disk monitoring module 102 in a bidirectional mode, the hard disk monitoring module 102 is electrically connected with a hard disk distribution module 104 in an output mode to monitor the server and the hard disk and adjust the hard disk 8;
the hard disk monitoring module 102 is electrically connected with the hard disk 8 in an input mode, the hard disk monitoring module 102 is electrically connected with the server 9 in an input mode, the hard disk monitoring module 102 is electrically connected with the optimization model generation module 5 in an input mode, the server monitoring module 101 is electrically connected with the process optimization module 12 in an output mode, and the hard disk distribution module 104 is electrically connected with the hard disk 8 in an output mode, so that the distribution condition of the hard disk 8 can be directly adjusted;
the optimization model generation module 5 comprises a model adjusting module 51, the model adjusting module 51 is electrically connected with the model generation module 52 in an output mode, the model adjusting module 51 is electrically connected with the distribution adjusting module 10 and the algorithm adjusting module 7 in an output mode, the model generation module 52 is electrically connected with the optimization model analysis module 6 to generate a prediction model, and the model is adjusted in real time to maximize optimization efficiency;
the process optimizing module 12 includes a process analyzing module 121, the process analyzing module 121 is electrically connected to the process ending module 122, the process analyzing module 121 is electrically connected to the distribution adjusting module 10, the process ending module 122 is electrically connected to the server 9, analyzes the server 9, monitors the process, and forcibly ends the useless process;
the optimization scheme selection module 4 comprises a manual selection module 41 and an automatic selection module 42, wherein both the manual selection module 41 and the automatic selection module 42 are electrically connected with a scheme library 43, and the automatic selection module 42 automatically selects a scheme according to conditions or can manually select the scheme through the manual selection module 41;
the manual selection module 41 is electrically input and connected with the management terminal 3, so that a scheme can be selected manually, the automatic selection module 42 is electrically input and connected with the database running state monitoring module 2, automatic selection is performed under the default condition, and the scheme library 43 is electrically output and connected with the optimization model generation module 5;
an optimization method of an integral architecture optimization system of an integrated data platform comprises the following steps:
s1, a database running state monitoring module 2 monitors the running condition of a database 1, automatically analyzes the running condition and transmits the analyzed data to an optimization scheme selection module 4, the optimization scheme selection module 4 automatically selects an optimization scheme according to the data of the database running state monitoring module 2, an allocation adjustment module 10 analyzes the running states of a hard disk 8 and a server 9 and transmits the data to an optimization model generation module 5, meanwhile, the database running state monitoring module 2 also transmits the data to a word optimization model generation module 5, and the optimization model generation module 5 automatically generates an optimization model according to the data of the allocation adjustment module 10 and the database running state monitoring module 2 and the scheme of the optimization scheme selection module 4;
s2, the optimization model analysis module 6 analyzes the model generated in the optimization model generation module 5, the algorithm adjustment module 7 is used for near adjustment, the distribution adjustment module 10 and the database running state monitoring module 2 are used for optimizing the model, the optimization model analysis module 6 transmits the analysis result to the database running state monitoring module 2, so that people can check the analysis result conveniently, and after people see the analysis result and decide to adopt an analysis scheme, the adjustment command confirmation module 11 sends a control command;
and S3, the allocation adjusting module 10 adjusts and allocates the storage space of the hard disk 8 according to the model in the optimization model generating module 5, and transmits an adjusting command to the process optimizing module 12, and the process optimizing module 12 identifies and actively ends useless running programs, so that the running speed of the server 9 is increased, and the performance of the database 1 is optimized.
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 (8)
1. An integral architecture optimization system of an integral data platform comprises a database (1), and is characterized in that: the optimization system comprises a database (1), a database running state monitoring module (2), a management terminal (3) and an optimization scheme selection module (4), wherein the management terminal (3) is electrically connected with the optimization scheme selection module (4), the optimization scheme selection module (4) is electrically connected with an optimization model generation module (5), the optimization model generation module (5) is electrically connected with an optimization model analysis module (6), the optimization model analysis module (6) is electrically connected with an algorithm adjustment module (7), the algorithm adjustment module (7) is electrically connected with the optimization model generation module (5) in a bidirectional mode, the database (1) is electrically connected with a hard disk (8) and a server (9) in a bidirectional mode, the hard disk (8) and the server (9) are both electrically connected with an allocation adjustment module (10) in a bidirectional mode, the allocation adjustment module (10) is electrically connected with the optimization model generation module (5), the optimization model generation module (5) is electrically connected with an adjustment command confirmation module (11), the adjustment command confirmation module (11) is electrically connected with the management terminal (3), and the allocation adjustment module (10) is electrically connected with the process optimization module (12) and the server (9) is electrically connected with the optimization module (12).
2. The system of claim 1, wherein the data platform comprises: the distribution adjusting module (10) comprises a server monitoring module (101) and a hard disk monitoring module (102), the server monitoring module (101) is electrically output and connected with an analysis module (103), the analysis module (103) is electrically connected with the hard disk monitoring module (102) in a bidirectional mode, and the hard disk monitoring module (102) is electrically output and connected with a hard disk distribution module (104).
3. The system of claim 2, wherein the system comprises: the system comprises a hard disk monitoring module (102), a server (9), an optimization model generating module (5), a server monitoring module (101), a process optimizing module (12) and a hard disk distribution module (104), wherein the hard disk monitoring module (102) is electrically connected with a hard disk (8) in an input mode, the hard disk monitoring module (102) is electrically connected with the server (9) in an input mode, the hard disk monitoring module (102) is electrically connected with the optimization model generating module (5) in an input mode, and the hard disk distribution module (104) is electrically connected with the hard disk (8) in an output mode.
4. The system of claim 1, wherein the data platform comprises: the optimization model generation module (5) comprises a model adjusting module (51), the model adjusting module (51) is electrically output and connected with a model generation module (52), the model adjusting module (51) is electrically output and connected with a distribution adjusting module (10) and an algorithm adjusting module (7), and the model generation module (52) is electrically output and connected with an optimization model analysis module (6).
5. The system of claim 1, wherein the data platform comprises: the process optimization module (12) comprises a process analysis module (121), the process analysis module (121) is electrically connected with a process ending module (122), the process analysis module (121) is electrically connected with an input and distribution adjustment module (10), and the process ending module (122) is electrically connected with the output and server (9).
6. The system of claim 1, wherein the data platform comprises: the optimization scheme selection module (4) comprises a manual selection module (41) and an automatic selection module (42), and the manual selection module (41) and the automatic selection module (42) both electrically output a connection scheme library (43).
7. The system of claim 6, wherein the data platform further comprises: the manual selection module (41) is electrically input and connected with the management terminal (3), the automatic selection module (42) is electrically input and connected with the database running state monitoring module (2), and the scheme library (43) is electrically output and connected with the optimization model generation module (5).
8. An optimization method of an integral architecture optimization system of an integrated data platform is characterized in that:
s1, a database running state monitoring module (2) monitors the running condition of a database (1), automatically analyzes the running condition and transmits the analyzed data to an optimization scheme selection module (4), the optimization scheme selection module (4) automatically selects an optimization scheme according to the data of the database running state monitoring module (2), a distribution adjustment module (10) analyzes the running states of a hard disk (8) and a server (9) and transmits the data to an optimization model generation module (5), meanwhile, the database running state monitoring module (2) also generates a data transmission word optimization model in the optimization model generation module (5), and the optimization model generation module (5) automatically generates an optimization model according to the data of the distribution adjustment module (10) and the database running state monitoring module (2) and the scheme of the optimization scheme selection module (4);
s2, an optimization model analysis module (6) analyzes the model generated in the optimization model generation module (5), near adjustment is carried out through an algorithm adjustment module (7), the model is optimized through data of a distribution adjustment module (10) and a database running state monitoring module (2), the optimization model analysis module (6) transmits an analysis result to the database running state monitoring module (2), so that people can conveniently check the analysis result, and after people see the analysis result and decide to adopt an analysis scheme, a control command is sent out through an adjustment command confirmation module (11);
s3, the allocation adjusting module (10) adjusts and allocates the storage space of the hard disk (8) according to the model in the optimization model generating module (5), and transmits the adjusting command to the process optimizing module (12), the process optimizing module (12) identifies and actively ends useless running programs, the running speed of the server (9) is accelerated, and the performance of the database (1) is optimized.
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