CN115426236A - Computing power network data conversion method and device, server and electronic equipment - Google Patents
Computing power network data conversion method and device, server and electronic equipment Download PDFInfo
- Publication number
- CN115426236A CN115426236A CN202210894192.XA CN202210894192A CN115426236A CN 115426236 A CN115426236 A CN 115426236A CN 202210894192 A CN202210894192 A CN 202210894192A CN 115426236 A CN115426236 A CN 115426236A
- Authority
- CN
- China
- Prior art keywords
- data
- matching
- management domain
- data set
- power network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000006243 chemical reaction Methods 0.000 title claims abstract description 41
- 238000007726 management method Methods 0.000 claims abstract description 132
- 238000013506 data mapping Methods 0.000 claims abstract description 27
- 230000005540 biological transmission Effects 0.000 claims abstract description 10
- 238000013507 mapping Methods 0.000 claims description 23
- 238000004590 computer program Methods 0.000 claims description 22
- 238000011550 data transformation method Methods 0.000 claims description 14
- 230000006870 function Effects 0.000 claims description 8
- 238000003032 molecular docking Methods 0.000 claims description 4
- 238000013501 data transformation Methods 0.000 claims description 2
- 230000006978 adaptation Effects 0.000 abstract description 22
- 238000004364 calculation method Methods 0.000 description 27
- 238000004458 analytical method Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 8
- 238000012423 maintenance Methods 0.000 description 6
- 238000012546 transfer Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000002457 bidirectional effect Effects 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012827 research and development Methods 0.000 description 2
- 108010028984 3-isopropylmalate dehydratase Proteins 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/02—Standardisation; Integration
- H04L41/0246—Exchanging or transporting network management information using the Internet; Embedding network management web servers in network elements; Web-services-based protocols
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/02—Standardisation; Integration
- H04L41/0233—Object-oriented techniques, for representation of network management data, e.g. common object request broker architecture [CORBA]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/02—Standardisation; Integration
- H04L41/024—Standardisation; Integration using relational databases for representation of network management data, e.g. managing via structured query language [SQL]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
- H04L41/082—Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a computing power network data conversion method, a computing power network data conversion device, a server and electronic equipment, wherein the method comprises the following steps: the method comprises the steps of butting a first object management domain, and collecting target data of the first object management domain; analyzing and matching the target data to obtain a first object minimum data set; carrying out standardized data mapping on the first object minimum data set to obtain second object association information; analyzing and matching the second object correlation information to obtain a second object maximum data set; and transferring the second object maximum data set to a second object management domain. The invention ensures the stable operation of the computing power network service by realizing the compatible adaptation of the data with different formats between the first object management domain and the second object management domain, realizes the reusable switching method, quickly and quickly realizes the real-time data standardized management, further realizes the safe data transmission between different management domains, and improves the timeliness and the effectiveness of the data transmission.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a computing power network data conversion method, a computing power network data conversion device, a server and electronic equipment.
Background
The computing power network integrates multiple factors such as computing power, network, artificial intelligence, big data, block chains and the like, and has the capability of providing basic computing network support for customers, so that the computing power network has very high requirements on effectiveness, timeliness and credibility of data transmission.
At present, unified coordination and fusion support are not realized between an object management domain and a network object management domain, and mutual compatible adaptation is not realized between different management domains, so that time delay is generated in the process of sharing data of different management domains, the timeliness and effectiveness of the data are poor, and when data is transferred between different management domains, a bidirectional credible mechanism is lacked, and the safe transfer of the data cannot be realized.
Disclosure of Invention
The invention provides a computing power network data conversion method, a computing power network data conversion device, a server and electronic equipment, which are used for realizing the safe data transmission among different management domains and improving the timeliness and effectiveness of data transmission.
The invention provides a computing power network data conversion method, which comprises the following steps:
the method comprises the steps of docking a first object management domain, and collecting target data of the first object management domain;
analyzing and matching the target data to obtain a first object minimum data set;
carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
analyzing and matching the second object correlation information to obtain a second object maximum data set;
and transferring the second object maximum data set to a second object management domain.
According to the computational power network data conversion method provided by the invention, the analyzing and matching of the target data to obtain a first object minimum data set comprises the following steps:
and performing resource matching, performance matching, alarm matching and log data matching on the target data to obtain the first object minimum data set.
According to the computational power network data conversion method provided by the invention, the step of carrying out standardized data mapping on the first object minimum data set to obtain second object associated information comprises the following steps:
based on a preset mapping table, carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
the mapping table is provided with an editing function.
According to the computational power network data conversion method provided by the invention, the analyzing and matching of the second object associated information to obtain the maximum data set of the second object comprises the following steps:
and performing resource matching, performance matching, alarm matching and log data matching on the second object associated information to obtain the maximum data set of the second object.
According to the computational power network data conversion method provided by the invention, the first object management domain is a computational object management domain, and the second object management domain is a network object management domain; or,
the first object management domain is a network object management domain, and the second object management domain is a computation object management domain.
According to the computing power network data conversion method provided by the invention, the first object management domain comprises the following steps:
and docking the first object management domain based on a preset software development kit plug-in.
The invention also provides a computational power network data conversion device, which comprises:
the acquisition module is used for butting a first object management domain and acquiring target data of the first object management domain;
the first matching module is used for analyzing and matching the target data to obtain a first object minimum data set;
the mapping module is used for carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
the second matching module is used for analyzing and matching the second object correlation information to obtain a second object maximum data set;
and the transmission module is used for transmitting the second object maximum data set to a second object management domain.
The invention also provides a server, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the computing power network data conversion method.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the computing power network data conversion method.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a computational network data transformation method as described in any of the above.
The present invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a computational network data transformation method as described in any of the above.
According to the computing power network data conversion method, the computing power network data conversion device, the server and the electronic equipment, the collected target data of the first object management domain is subjected to standardized data mapping to obtain the second object associated information, then the second object associated information is analyzed and matched to obtain the second object maximum data set, the second object maximum data set is transmitted to the second object management domain, compatible adaptation of data of different formats between the first object management domain and the second object management domain is achieved, and stable operation of computing power network services is guaranteed. Compared with the mode of realizing data sharing through a data sharing platform architecture mode in the prior art, the invention adopts a bidirectional standard adaptation mode, maximally reduces the research and development cost investment under the current situations of network management and calculation management shaft management, realizes a reusable switching method, quickly and agilely realizes real-time data standardized management, further realizes the safe data transfer among different management domains, and improves the timeliness and effectiveness of data transfer.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow diagram of a computational network data transformation method provided by the present invention;
FIG. 2 is a second schematic flow chart of the computational power network data transformation method provided by the present invention;
FIG. 3 is a third schematic flow chart of the computational power network data transformation method provided by the present invention;
FIG. 4 is a fourth flowchart of the computational network data transformation method provided by the present invention;
FIG. 5 is a schematic structural diagram of a computational power network data transformation device provided by the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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.
The computing power network data conversion method, device, server and electronic equipment of the present invention are described below with reference to fig. 1 to 6.
As shown in fig. 1, the present invention provides a computing power network data transformation method, including:
It is understood that the computational network data transformation method provided by the invention can be executed by a server.
The target data of the first object management domain may be adaptation Infrastructure as a Service (IaaS), platform as a Service (PaaS), software as a Service (SaaS), related Platform Software object resource, performance, alarm, configuration data. The first object management domain can be an object management domain, and the object management domain can be incompatible open source software or customized software such as PIM, openStack, K8S, K3S, singularity according to different use scenes of users. The interface mode adopts technical protocols such as OpenAPI interface, socket, agent, telnet, snmp, IPMI and the like.
And 120, analyzing and matching the target data to obtain a first minimum object data set.
It is understood that the first object management domain may be an object management domain, and data collected from the object management domain is subjected to templated parsing and matching, wherein the parsing and matching includes resource, performance, alarm and log data processing.
It should be noted that the data set of the first object corresponds to an allowed field range, wherein the data set of the minimum field is also the minimum data set of the first object.
And step 130, performing standardized data mapping on the first object minimum data set to obtain second object associated information.
It is understood that the system performs standardized transformation on the content of the first object minimal data set according to the key fields of the dictionary table information and the mapping information, or performs standardized data mapping by using a mathematical formula.
Standardized data mapping, namely performing centralized management, unified updating and unified updating on the calculation-to-network conversion rules and the network-to-calculation conversion rules, forming a programmable knowledge base through gradual knowledge accumulation, and subsequently supporting open sharing.
And 140, analyzing and matching the second object association information to obtain a second object maximum data set.
It is understood that the second object association information may be a web object, and the web object parsing and matching is to perform templated parsing and matching on the data collected by the web object management domain to obtain the maximum data set of the second object.
It should be noted that the data set of the second object corresponds to an allowed field range, wherein the data set of the largest field is also the largest data set of the second object.
And 150, transferring the second object maximum data set to a second object management domain.
It is understood that the second object maximum data set is transferred to the second object management domain in an interface open manner.
For example, relevant data of the system of adaptive operation and maintenance management, quality management, fault management, resource management and business arrangement management is collected by connecting a network object management domain. The network management field is greatly different from the calculation management field, and the functional domain is mainly adopted for division, so the module adaptation capability is mainly used for butting the service data generated in different domains, such as the work order flow data generated by a service arrangement module and the alarm data generated by a fault management module.
In some embodiments, the parsing and matching the target data to obtain a first minimum object data set includes:
and performing resource matching, performance matching, alarm matching and log data matching on the target data to obtain the first object minimum data set.
It is to be understood that the resource match may be an arithmetic resource match, the performance match may be an arithmetic performance match, the alarm match may be an arithmetic alarm match, and the log data match may be an arithmetic log data match.
Calculating resource matching of target data, wherein the functions comprise calculating resource modeling, calculating resource data instantiation and calculating resource data quality management, and the objects comprise Manager, region, AZ, HA, backhaul, host, hostFileSystems, hostPort, hostBondPort, VM, BM, vitrualNet and Project; the calculation performance matching comprises the steps of calculation performance batch processing, calculation performance quality updating and calculation performance configuration updating; calculating alarm matching, including calculating message analysis, calculating content extraction and calculating real-time message notification; and (4) matching the calculation log data, including the steps of downloading the calculation log file, extracting the calculation log content and searching the calculation log context. For the data after the analysis and matching, the system synchronizes the data to other modules for use in a real-time message queue or a database or a File Transfer Protocol (FTP) File directory.
In some embodiments, the performing normalized data mapping on the first minimum object data set to obtain second object association information includes:
based on a preset mapping table, carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
the mapping table is provided with an editing function.
It can be understood that, the function of standardized data mapping constructs mapping table information using key fields as indexes, and maintenance personnel can actively maintain the mapping table information and a dictionary table having a mapping relation with the mapping table, and support addition, deletion, modification, batch entry and the like of the mapping information. And after the object analysis matching function is realized, mapping the result data in a real-time message queue mode, and carrying out standardized conversion on the object content according to the key fields of the dictionary table information and the mapping information.
In some embodiments, the analyzing and matching the second object association information to obtain a second object maximum data set includes:
and performing resource matching, performance matching, alarm matching and log data matching on the second object associated information to obtain the maximum data set of the second object.
It can be understood that the resource matching in this embodiment may be network resource matching, the performance matching may be network performance matching, the alarm matching may be network alarm matching, and the log data matching may be network log data matching.
The analysis matching comprises resource, performance, alarm and log data processing. Network resource matching, wherein the functions comprise network resource modeling, network resource data instantiation and network resource data quality management, and the objects comprise resource identifiers, network element names, zhou Ming periodic states, machine rooms, machine frames, equipment manufacturers, equipment types, equipment models, equipment levels, software versions and the like; network performance matching, including batch processing of network performance, updating of network performance quality and updating of network performance configuration; network alarm matching, including network message analysis, network content extraction, network real-time message notification, mapping content including field information such as specialty, equipment type, alarm object type, manufacturer alarm identification, alarm title, etc.; and matching the weblog data, including downloading weblog files, extracting weblog contents and retrieving weblog context. For the data after the analysis and matching, the system synchronizes the data to other modules for use in a mode of a real-time message queue or a database or a file transmission protocol file directory.
In some embodiments, the first object management domain is a computation object management domain and the second object management domain is a mesh object management domain; or,
the first object management domain is a network object management domain, and the second object management domain is a computation object management domain.
It is to be understood that the first object is a computing object and the second object is a web object; alternatively, the first object is a web object and the second object is a computation object.
The network object management domain is an object management domain related to network communication resources in a computing network service scene, for example, an object management domain related to a network communication protocol and a network communication device. The computational object management domain is an object management domain related to hardware equipment, a physical machine and a virtual machine in a computational network service scene.
In some embodiments, the interfacing the first object management domain comprises:
and docking the first object management domain based on a preset Software Development Kit (SDK).
It can be understood that the function extension can be supplemented by means of a software development kit plug-in, and an adaptation version number is carried to match different computing object management domains.
In other embodiments, the computational network data transformation method is shown in fig. 2, and includes eastern adaptation opening, net object parsing matching, standardized data mapping, computational object parsing matching, and western adaptation opening.
The east adaptation is open, and is used for connecting with a network object management domain system, and collecting open related arrangement data, fault data, resource data, performance data, log data and the like in the form of a software development kit plug-in.
And analyzing and matching the network objects, wherein the minimum level of the network objects is analyzed by mainly analyzing the downlink input data, and the maximum level of the network objects is analyzed by analyzing the uplink input data.
And standardized data mapping for key dictionary information management and standardized mapping table data content management.
And (4) analyzing and matching the calculation object, wherein the calculation object is mainly analyzed into the maximum level of the calculation object for downlink input data, and the calculation object is analyzed into the minimum level of the calculation object for uplink input data.
And the Western-oriented adaptation is opened and is used for collecting open related contents such as calculation resource data, physical operation data and the like for an operation object management domain system in a software development kit plug-in mode.
The east adaptation is open, and when the network object oriented management domain system is adopted, the system has the acquisition adaptation capability and the open sharing capability.
The Western-oriented adaptation is open, and when the system is oriented to an object management domain, the system has the acquisition adaptation capability and the open sharing capability.
The east adaptation open module and the west adaptation open module are all in a software development kit plug-in mode, and are gradually expanded by version numbers according to specific conditions of a data provider to form a standardized and reusable module, so that the software project retransmission development cost is reduced, the operation and maintenance management efficiency of a client is improved, the adaptation plug-ins are developed and collected 3 days each time, when more than 30 different plug-ins exist in an object management domain and a network object management domain, the 80% reusability in the industry is used for calculating, and the workload of the introduction and development is accumulated for 72 days.
And the standardized data mapping has the maintenance management capacity of key dictionary table information and mapping data, and a user can respectively and synchronously update the mapping rule knowledge based on the maintenance experience of a computer and a network so as to improve the data conversion efficiency and the data quality.
The acquisition of adaptive capacity is a plug-in mode of an extensible software development kit, and the plug-in mode is transversely managed on the basis of different system versions of a butt-joint network object manufacturer.
In other embodiments, the computational network data transformation method is shown in fig. 3 and comprises:
and step 350, opening the western-direction matching, and transmitting the content of the maximum data set of the calculation object to the calculation object management domain in an open interface mode.
In other embodiments, the computational network data transformation method is shown in fig. 4 and includes:
and step 450, opening east matching, and transmitting the content of the maximum data set of the network object to the network object management domain in an open interface mode.
In summary, the computing power network data conversion method provided by the present invention includes: the method comprises the steps of butting a first object management domain, and collecting target data of the first object management domain; analyzing and matching the target data to obtain a first object minimum data set; carrying out standardized data mapping on the first object minimum data set to obtain second object associated information; analyzing and matching the second object correlation information to obtain a second object maximum data set; and transferring the second object maximum data set to a second object management domain.
In the computational power network data conversion method provided by the invention, the acquired target data of the first object management domain is subjected to standardized data mapping to obtain the second object associated information, then the second object associated information is analyzed and matched to obtain the second object maximum data set, and the second object maximum data set is transmitted to the second object management domain, so that the compatible adaptation of different format data between the first object management domain and the second object management domain is realized, and the stable operation of computational power network services is ensured. Compared with the mode of realizing data sharing through a data sharing platform architecture mode in the prior art, the invention adopts a bidirectional standard adaptation mode, maximally reduces the research and development cost investment under the current situations of network management and calculation management shaft management, realizes a reusable switching method, quickly and quickly realizes real-time data standardized management, further realizes the safe data transmission among different management domains, and improves the timeliness and effectiveness of data transmission.
The computing power network data conversion device provided by the invention is described below, and the computing power network data conversion device described below and the computing power network data conversion method described above can be referred to correspondingly.
As shown in fig. 5, the present invention further provides a computing power network data conversion apparatus 500, including:
an acquisition module 510, configured to interface with a first object management domain, and acquire target data of the first object management domain;
a first matching module 520, configured to perform parsing and matching on the target data to obtain a first minimum object data set;
a mapping module 530, configured to perform standardized data mapping on the first minimum object data set to obtain second object association information;
the second matching module 540 is configured to perform parsing and matching on the second object association information to obtain a second object maximum data set;
a transferring module 550, configured to transfer the second object maximum data set to a second object management domain.
The invention also provides a server, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the computing power network data conversion method.
The electronic device, the computer program product, and the storage medium provided by the present invention are described below, and the electronic device, the computer program product, and the storage medium described below and the computational power network data transformation method described above may be referred to in correspondence with each other.
Fig. 6 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 6: a processor (processor) 610, a communication Interface (Communications Interface) 620, a memory (memory) 630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a computational network data translation method comprising:
the method comprises the steps of butting a first object management domain, and collecting target data of the first object management domain;
analyzing and matching the target data to obtain a first object minimum data set;
carrying out standardized data mapping on the first object minimum data set to obtain second object association information;
analyzing and matching the second object correlation information to obtain a second object maximum data set;
and transferring the second object maximum data set to a second object management domain.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, the computer program product including a computer program, the computer program being stored on a non-transitory computer-readable storage medium, wherein when the computer program is executed by a processor, a computer is capable of executing the computational power network data transformation method provided by the above methods, and the method includes:
the method comprises the steps of butting a first object management domain, and collecting target data of the first object management domain;
analyzing and matching the target data to obtain a first object minimum data set;
carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
analyzing and matching the second object correlation information to obtain a second object maximum data set;
and transferring the second object maximum data set to a second object management domain.
In still another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the computing power network data conversion method provided by the above methods, the method including:
the method comprises the steps of butting a first object management domain, and collecting target data of the first object management domain;
analyzing and matching the target data to obtain a first object minimum data set;
carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
analyzing and matching the second object correlation information to obtain a second object maximum data set;
and transferring the second object maximum data set to a second object management domain.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (11)
1. A computing power network data conversion method is characterized by comprising the following steps:
the method comprises the steps of butting a first object management domain, and collecting target data of the first object management domain;
analyzing and matching the target data to obtain a first object minimum data set;
carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
analyzing and matching the second object correlation information to obtain a second object maximum data set;
and transferring the second object maximum data set to a second object management domain.
2. The computing power network data conversion method according to claim 1, wherein the analyzing and matching the target data to obtain a first minimum object data set comprises:
and performing resource matching, performance matching, alarm matching and log data matching on the target data to obtain the first object minimum data set.
3. The computing power network data conversion method according to claim 1, wherein the step of performing normalized data mapping on the first object minimum data set to obtain second object association information comprises:
based on a preset mapping table, carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
the mapping table is provided with an editing function.
4. The computing power network data conversion method according to claim 1, wherein the analyzing and matching the second object association information to obtain a second object maximum data set includes:
and performing resource matching, performance matching, alarm matching and log data matching on the second object associated information to obtain the maximum data set of the second object.
5. The computing power network data conversion method according to claim 1, wherein the first object management domain is a computing object management domain, and the second object management domain is a web object management domain; or,
the first object management domain is a network object management domain, and the second object management domain is a computation object management domain.
6. The computing power network data conversion method according to any one of claims 1 to 5, wherein the interfacing the first object management domain includes:
and docking the first object management domain based on a preset software development kit plug-in.
7. A computational power network data transformation apparatus, comprising:
the acquisition module is used for butting a first object management domain and acquiring target data of the first object management domain;
the first matching module is used for analyzing and matching the target data to obtain a first object minimum data set;
the mapping module is used for carrying out standardized data mapping on the first object minimum data set to obtain second object associated information;
the second matching module is used for analyzing and matching the second object correlation information to obtain a second object maximum data set;
and the transmission module is used for transmitting the second object maximum data set to a second object management domain.
8. A server comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the computational network data conversion method according to any one of claims 1 to 6.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the computing power network data transformation method according to any one of claims 1 to 6 when executing the program.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the computational power network data conversion method according to any one of claims 1 to 6.
11. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the computational power network data conversion method of any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210894192.XA CN115426236A (en) | 2022-07-27 | 2022-07-27 | Computing power network data conversion method and device, server and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210894192.XA CN115426236A (en) | 2022-07-27 | 2022-07-27 | Computing power network data conversion method and device, server and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115426236A true CN115426236A (en) | 2022-12-02 |
Family
ID=84196006
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210894192.XA Pending CN115426236A (en) | 2022-07-27 | 2022-07-27 | Computing power network data conversion method and device, server and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115426236A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1617392A1 (en) * | 2004-06-25 | 2006-01-18 | Sap Ag | Handling of standardized properties and their use in data exchange |
| AU2011213842A1 (en) * | 2010-09-03 | 2012-03-22 | Tata Consultancy Services Limited | A system and method of managing mapping information |
| CN107370745A (en) * | 2017-08-03 | 2017-11-21 | 北京市天元网络技术股份有限公司 | One kind collection adaptation method and device |
| CN114546682A (en) * | 2022-02-23 | 2022-05-27 | 中国工商银行股份有限公司 | Data processing method, device, equipment, medium and program product |
| CN114595845A (en) * | 2022-03-10 | 2022-06-07 | 北京百度网讯科技有限公司 | Device information management method, device, electronic device and storage medium |
-
2022
- 2022-07-27 CN CN202210894192.XA patent/CN115426236A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1617392A1 (en) * | 2004-06-25 | 2006-01-18 | Sap Ag | Handling of standardized properties and their use in data exchange |
| AU2011213842A1 (en) * | 2010-09-03 | 2012-03-22 | Tata Consultancy Services Limited | A system and method of managing mapping information |
| CN107370745A (en) * | 2017-08-03 | 2017-11-21 | 北京市天元网络技术股份有限公司 | One kind collection adaptation method and device |
| CN114546682A (en) * | 2022-02-23 | 2022-05-27 | 中国工商银行股份有限公司 | Data processing method, device, equipment, medium and program product |
| CN114595845A (en) * | 2022-03-10 | 2022-06-07 | 北京百度网讯科技有限公司 | Device information management method, device, electronic device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110058987B (en) | Method, apparatus, and computer readable medium for tracking a computing system | |
| CN110324169B (en) | Interface management method and device | |
| CN111258627B (en) | Interface document generation method and device | |
| EP3790239A1 (en) | Network access method and device for edge router | |
| CN110928934A (en) | Data processing method and device for business analysis | |
| CN110971438A (en) | Method and device for configuring data | |
| CN104378234A (en) | Cross-data-center data transmission processing method and system | |
| WO2016173194A1 (en) | Updating method, device and system for information about resources | |
| CN110932918A (en) | Log data acquisition method and device and storage medium | |
| CN112491609A (en) | System application architecture discovery method and system based on business service | |
| CN110334248B (en) | System configuration information processing method and device | |
| CN114461247A (en) | Hot update method, device, electronic equipment and computer readable medium | |
| CN115426236A (en) | Computing power network data conversion method and device, server and electronic equipment | |
| CN110417875B (en) | Method, system, equipment and storage medium for docking between cloud servers | |
| CN115604343A (en) | Data transmission method, system, electronic equipment and storage medium | |
| CN117194562A (en) | Data synchronization method and device, electronic equipment and computer readable medium | |
| WO2023092981A1 (en) | Streaming data processing method, rule plug-in, and streaming data processing module and system | |
| CN113515306B (en) | System transplanting method and device | |
| CN110858240A (en) | Front-end module loading method and device | |
| CN113824587A (en) | Multi-communication protocol equipment management method and system | |
| CN115914380A (en) | Communication delay optimization method of cloud computing resource manager based on ZLib compression algorithm | |
| CN112099841A (en) | Method and system for generating configuration file | |
| CN109271310B (en) | Development testing method and device for network function of mobile application program | |
| CN112783615A (en) | Method and device for cleaning data processing task | |
| CN113779018A (en) | Data processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |