CN115426236A - Computing power network data conversion method and device, server and electronic equipment - Google Patents

Abstract

The present invention provides a computing power network data conversion method, device, server and electronic equipment, the method comprising: connecting to a first object management domain, collecting target data of the first object management domain; parsing and matching the target data , to obtain the minimum data set of the first object; perform standardized data mapping on the minimum data set of the first object to obtain second object association information; analyze and match the second object association information to obtain the largest second object data set; Passing the second object maximum data set to a second object management domain. The present invention ensures the stable operation of computing power network services by realizing the compatible adaptation of data in different formats between the first object management domain and the second object management domain, realizes a reusable switching method, and realizes real-time data standardized management quickly and quickly , and then realize the secure data transfer between different management domains, and improve the timeliness and effectiveness of data transfer.

Description

Computing power network data conversion method, device, server and electronic equipment

technical field

The present invention relates to the technical field of cloud computing, in particular to a computing power network data conversion method, device, server and electronic equipment.

Background technique

The computing power network integrates multiple elements such as computing power, network, artificial intelligence, big data, and blockchain. The computing power network has the ability to provide customers with basic computing network support. Therefore, the effectiveness and timeliness of the computing power network for data transmission , Trustworthiness has very high requirements.

At present, there is no unified coordination and integrated support between the computing object management domain and the network object management domain, and there is no mutual compatibility and adaptation between different management domains. As a result, data in different management domains will be shared and processed. The time delay leads to poor timeliness and effectiveness of data, and when data is transmitted between different management domains, there is a lack of a two-way trusted mechanism, which cannot achieve data security transmission.

Contents of the invention

The present invention provides a computing power network data conversion method, device, server and electronic equipment, which are used to realize safe data transfer between different management domains, and improve the timeliness and effectiveness of data transfer.

The present invention provides a computing power network data conversion method, including:

connecting to the first object management domain, and collecting target data of the first object management domain;

Analyzing and matching the target data to obtain the minimum data set of the first object;

performing standardized data mapping on the first minimum data set of objects to obtain second object association information;

Analyzing and matching the associated information of the second object to obtain the largest data set of the second object;

Passing the second object maximum data set to a second object management domain.

According to the computing power network data conversion method provided by the present invention, the parsing and matching of the target data to obtain the minimum data set of the first object includes:

Resource matching, performance matching, alarm matching, and log data matching are performed on the target data to obtain the first minimum object data set.

According to the computing power network data conversion method provided by the present invention, the standardized data mapping is performed on the minimum data set of the first object to obtain the associated information of the second object, including:

performing standardized data mapping on the first object minimum data set based on a preset mapping table to obtain the second object association information;

Wherein, the mapping table is a mapping table provided with an editing function.

According to the computing power network data conversion method provided by the present invention, the parsing and matching of the associated information of the second object is performed to obtain the largest data set of the second object, including:

Resource matching, performance matching, alarm matching, and log data matching are performed on the second object association information to obtain the second object maximum data set.

According to the computing power network data conversion method provided by the present invention, the first object management domain is a computing 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 an computing object management domain.

According to the computing power network data conversion method provided by the present invention, the docking with the first object management domain includes:

Based on the preset software development kit plug-in, the first object management domain is connected.

The present invention also provides a computing power network data conversion device, including:

A collection module, configured to connect to the first object management domain, and collect target data of the first object management domain;

The first matching module is configured to analyze and match the target data to obtain the minimum data set of the first object;

A mapping module, configured to perform standardized data mapping on the first object minimum data set to obtain second object association information;

The second matching module is configured to analyze and match the associated information of the second object to obtain the largest data set of the second object;

A transfer module, configured to transfer the second maximum data set of the object to the second object management domain.

The present invention also provides a server, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, any of the above-mentioned A computing power network data conversion method.

The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, it realizes any of the computing power networks described above. Data conversion method.

The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the computing power network data conversion method described in any one of the above methods is implemented.

The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements any one of the computing power network data conversion methods described above.

The computing power network data conversion method, device, server, and electronic equipment provided by the present invention perform standardized data mapping on the collected target data of the first object management domain, obtain the second object related information, and perform parsing and matching to obtain the second object. The largest data set of two objects, and the largest data set of the second object is transferred to the second object management domain, so as to realize the compatible adaptation of data in different formats between the first object management domain and the second object management domain, and ensure the stability of computing power network business run. Compared with the way of realizing data sharing through the data sharing platform architecture mode in the prior art, the present invention adopts a two-way standard adaptation mode, and under the current situation of network management and computing management silo management, it can minimize R&D cost investment and realize A reusable switching method can quickly and agilely realize the standardized management of real-time data, and then realize the safe transmission of data between different management domains, and improve the timeliness and effectiveness of data transmission.

Description of drawings

In order to more clearly illustrate the present invention or the technical solutions in the prior art, the accompanying drawings that need to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings in the following description are the present invention. For some embodiments of the invention, those skilled in the art can also obtain other drawings based on these drawings without creative effort.

Fig. 1 is one of the schematic flow charts of the computing power network data conversion method provided by the present invention;

Fig. 2 is the second schematic flow diagram of the computing power network data conversion method provided by the present invention;

Fig. 3 is the third schematic flow diagram of the computing power network data conversion method provided by the present invention;

Fig. 4 is the fourth schematic flow diagram of the computing power network data conversion method provided by the present invention;

Fig. 5 is a schematic structural diagram of a computing power network data conversion device provided by the present invention;

Fig. 6 is a schematic structural diagram of an electronic device provided by the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts 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 will be described below with reference to FIGS. 1-6 .

As shown in Figure 1, the present invention provides a computing power network data conversion method, including:

Step 110, connect to the first object management domain, and collect target data of the first object management domain.

It can be understood that the computing power network data conversion method provided by the present invention can be executed by a server.

The target data of the first object management domain can be adapted to the infrastructure as a service layer (IaaS, Infrastructure as a Service), platform as a service layer (PaaS, Platform as a Service), software as a service layer (SaaS, Software as a Service) Service) related platform software object resources, performance, alarm, configuration data. The first object management domain can be the computing object management domain. The computing object management domain can connect with incompatible open source software or customized software according to different usage scenarios of users, such as PIM, OpenStack, K8S, K3S, and Singularity. The interface adopts OpenAPI interface, socket, agent, telnet, snmp, IPMI and other technical protocols.

Step 120 , parsing and matching the target data to obtain the first minimum object data set.

It can be understood that the first object management domain may be the computing object management domain, and the data collected from the computing object management domain is subjected to template parsing and matching, and 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 smallest field is also the smallest data set of the first object.

Step 130: Perform standardized data mapping on the first minimum data set of objects to obtain second object association information.

It can be understood that the system performs standardized transformation on the content of the minimum data set of the first object according to the key fields of the dictionary table information and the mapping information, or uses mathematical formulas to perform standardized data mapping.

Standardized data mapping, centralized management of calculation-to-network conversion rules and network-to-computing conversion rules, unified update, unified update, through gradual knowledge accumulation, a programmable knowledge base is formed, and subsequent support for open sharing.

Step 140: Perform parsing and matching on the associated information of the second object to obtain the largest data set of the second object.

It can be understood that the associated information of the second object may be a web object, and the parsing and matching of the web object is to perform template parsing and matching on the data collected in the web object management domain to obtain the largest 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.

Step 150, transfer the second maximum data set of the object to the second object management domain.

It can be understood that the maximum data set of the second object is transferred to the second object management domain in an open interface manner.

For example, connect to the network object management domain to collect data related to adaptation operation and maintenance management, quality management, fault management, resource management, and business orchestration management systems. There is a big difference between the network management field and the computing management field, which are mainly divided by functional domains. Therefore, the adaptability of this module is mainly to connect the business data generated by different domains, such as the work order process data generated by the business orchestration module and the fault management module. alarm data.

In some embodiments, the parsing and matching of the target data to obtain the first object minimum data set includes:

Resource matching, performance matching, alarm matching, and log data matching are performed on the target data to obtain the first minimum object data set.

It can be understood that the resource matching can be calculated resource matching, the performance matching can be calculated performance matching, the alarm matching can be calculated alarm matching, and the log data matching can be calculated log data matching.

Computing resource matching for target data. Functions include computing resource modeling, computing resource data instantiation, and computing resource data quality management. Objects include Manager, Region, AZ, HA, Backend, Host, HostFileSystem, HostPort, HostBondPort, VM, BM, VitrualNet, Project; calculation performance matching, including calculation performance batch processing, calculation performance quality update, calculation performance configuration update; calculation alarm matching, including calculation message analysis, calculation content extraction, calculation real-time message notification; calculation log data matching, including calculation log File download, calculation log content extraction, and calculation log context retrieval. For the data that has been parsed and matched, the system synchronizes the data to other modules for use by means of a real-time message queue or a database or a File Transfer Protocol (FTP, File Transfer Protocol) file directory.

In some embodiments, performing standardized data mapping on the first object minimum data set to obtain second object association information includes:

performing standardized data mapping on the first object minimum data set based on a preset mapping table to obtain the second object association information;

Wherein, the mapping table is a mapping table provided with an editing function.

It is understandable that the function of standardizing data mapping and constructing mapping table information indexed by key fields, maintenance personnel can actively maintain the mapping table information and the dictionary table that has a mapping relationship with the mapping table, and support the addition of mapping information, Delete, modify, batch input, etc. After the calculation object parsing and matching function is realized, the result data is mapped through the real-time message queue, and the content of the calculation object is standardized and transformed according to the key fields and mapping information of the dictionary table information.

In some embodiments, the parsing and matching of the associated information of the second object to obtain the largest data set of the second object includes:

Resource matching, performance matching, alarm matching, and log data matching are performed on the second object association information to obtain the second object maximum data set.

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.

Parsing and matching include resources, performance, alarms, and log data processing. Network resource matching, functions include network resource modeling, network resource data instantiation, network resource data quality management, objects include resource identification, network element name, cycle status, belonging computer room, belonging rack, equipment manufacturer, equipment category, equipment Model, device level, software version, etc.; network performance matching, including network performance batch processing, network performance quality update, network performance configuration update; network alarm matching, including network message analysis, network content extraction, network real-time message notification, mapping content includes Field information such as specialty, device type, alarm object type, manufacturer alarm ID, alarm title, etc.; online log data matching, including online log file download, online log content extraction, and online log context retrieval. For the data that has been parsed and matched, the system synchronizes the data to other modules for use through real-time message queues or databases or file transfer protocol file directories.

In some embodiments, the first object management domain is an 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 an computing object management domain.

It can be understood that the first object is a calculation object, and the second object is a network object; or, the first object is a network object, and the second object is a calculation object.

The network object management domain is the object management domain related to network communication resources in the computing power network business scenario, such as the object management domain related to network communication protocols and network communication devices. The computing object management domain is the object management domain related to hardware devices, physical machines, and virtual machines in the computing power network business scenario.

In some embodiments, the docking with the first object management domain includes:

Based on a preset software development kit plug-in (SDK, Software Development Kit), it is connected to the first object management domain.

It can be understood that function expansion and supplementation can be carried out by means of a software development kit plug-in, and an adaptation version number can be carried to match different computing object management domains.

In some other embodiments, the computing power network data conversion method is shown in Figure 2, including eastward adaptation and opening, network object parsing and matching, standardized data mapping, computing object parsing and matching, and westward adaptation and opening.

Among them, the eastbound adaptation is open, which is used to connect to the network object management domain system. In the form of a software development kit plug-in, it collects open-related orchestration data, fault data, resource data, performance data, and log data.

Network object parsing and matching mainly resolves the downlink input data into the minimum level of network objects and the uplink input data into the maximum level of network objects.

Standardized data mapping is used for key dictionary information management and standardized mapping table data content management.

Computational object parsing and matching mainly parses the downlink input data into the maximum level of calculation objects, and parses the uplink input data into the minimum level of calculation objects.

The west direction is adapted and opened, which is used to connect to the computing object management domain system, and collect and open related computing resource data, physical operation data, etc. in the form of software development kit plug-ins.

Eastbound adaptation and openness, when facing the network object management domain system, it has both collection and adaptation capabilities, and also has the ability to open and share.

Westward adaptation and openness, when oriented to the computing object management domain system, it has both collection and adaptation capabilities, and also has the ability to open and share.

Among them, the eastward adaptation and opening modules and the westward adaptation and opening modules all adopt the plug-in method of the software development kit. According to the specific situation of the data provider, the version number is gradually expanded to form a standardized and reusable module, which reduces the reissue of software projects. Development costs, improving customer operation and maintenance management efficiency, based on 3 days for each development and collection of adaptation plug-ins, when there are more than 30 different plug-ins in the object management domain and network object management domain, calculated based on 80% of the industry's reuse rate, the cumulative Introduce the development workload of 72 days.

Standardized data mapping, with the ability to maintain and manage key dictionary table information and mapping data, users can update mapping rule knowledge synchronously based on computing and network maintenance experience to improve data conversion efficiency and data quality.

The acquisition and adaptation capability is an extensible software development kit plug-in method, based on the different system versions of the docking network target manufacturers, to realize horizontally manageable plug-ins.

In other embodiments, the computing power network data conversion method is shown in Figure 3, including:

Step 310, open the eastbound adaptation, connect and collect data such as resources, faults, performance, operation and maintenance, and services from the network object management domain;

Step 320, analyzing and matching the network object, performing template analysis on the collected data to form the minimum data set of the network object;

Step 330, standardize the data mapping, according to the requirements of the calculation object, use the dictionary table or mathematical formula to map into the calculation object related information;

Step 340, parsing and matching calculation objects, performing template analysis on the calculation object association information, and generating the largest data set of calculation objects;

Step 350 , open the westbound matching, and transfer the content of the largest data set of the computing object to the computing object management domain by means of an open interface.

In other embodiments, the computing power network data conversion method is shown in Figure 4, including:

Step 410, Westward Adaptation and Opening, IaaS, PaaS, SaaS data information collected from the computing object management domain docking;

Step 420, analyze and match the calculation objects, perform template analysis on the collected data, and form the minimum data set of calculation objects;

Step 430, standardize data mapping, according to the requirements of cloud objects, use dictionary tables or mathematical formulas to map into cloud object association information;

Step 440: Net object parsing and matching, template-based parsing of net object association information, and generating the largest data set of net objects;

Step 450, open the eastbound matching, and transmit the content of the largest data set of the network object to the network object management domain by means of an open interface.

To sum up, the computing power network data conversion method provided by the present invention includes: connecting to the first object management domain, collecting target data of the first object management domain; parsing and matching the target data to obtain the first object The smallest data set; performing standardized data mapping on the smallest data set of the first object to obtain second object association information; parsing and matching the second object association information to obtain the largest second object data set; converting the second object The object maximum data set is passed to the second object management domain.

In the computing power network data conversion method provided by the present invention, the target data collected in the management domain of the first object is standardized for data mapping, and after obtaining the associated information of the second object, parsing and matching are performed to obtain the largest data set of the second object , and transfer the largest data set of the second object to the second object management domain, so as to realize the compatible adaptation of data in different formats between the first object management domain and the second object management domain, and ensure the stable operation of the computing power network business. Compared with the way of realizing data sharing through the data sharing platform architecture mode in the prior art, the present invention adopts a two-way standard adaptation mode, and under the current situation of network management and computing management silo management, it can minimize R&D cost investment and realize A reusable switching method can quickly and agilely realize the standardized management of real-time data, and then realize the safe transmission of data between different management domains, and improve the timeliness and effectiveness of data transmission.

The computing power network data conversion device provided by the present invention is described below. The computing power network data conversion device described below and the computing power network data conversion method described above can be referred to in correspondence.

As shown in Figure 5, the present invention also provides a computing power network data conversion device 500, including:

A collection module 510, configured to interface with the first object management domain, and collect target data of the first object management domain;

The first matching module 520 is configured to analyze and match the target data to obtain the minimum data set of the first object;

A mapping module 530, configured to perform standardized data mapping on the first object minimum data set to obtain second object association information;

The second matching module 540 is configured to analyze and match the associated information of the second object to obtain the largest data set of the second object;

A transfer module 550, configured to transfer the second largest object data set to the second object management domain.

The present invention also provides a server, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, any of the above-mentioned A computing power network data conversion method.

The electronic equipment, computer program products, and storage media provided by the present invention are described below. The electronic equipment, computer program products, and storage media described below and the computing power network data conversion method described above can be referred to each other.

FIG. 6 illustrates a schematic diagram of the physical structure of an electronic device. As shown in FIG. 6, the electronic device may include: 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 through the communication bus 640 . The processor 610 can call the logic instructions in the memory 630 to execute the computing power network data conversion method, and the method includes:

connecting to the first object management domain, and collecting target data of the first object management domain;

Analyzing and matching the target data to obtain the minimum data set of the first object;

performing standardized data mapping on the first minimum data set of objects to obtain second object association information;

Analyzing and matching the associated information of the second object to obtain the largest data set of the second object;

Passing the second object maximum data set to a second object management domain.

In addition, the logic instructions in the above-mentioned memory 630 may be implemented in the form of software functional units and when sold or used as an independent product, may be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. .

On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can Execute the computing power network data conversion method provided by the above methods, the method includes:

connecting to the first object management domain, and collecting target data of the first object management domain;

Analyzing and matching the target data to obtain the minimum data set of the first object;

performing standardized data mapping on the first minimum data set of objects to obtain second object association information;

Analyzing and matching the associated information of the second object to obtain the largest data set of the second object;

Passing the second object maximum data set to a second object management domain.

In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it is implemented to perform the computing power network data conversion method provided by the above-mentioned methods. Methods include:

connecting to the first object management domain, and collecting target data of the first object management domain;

Analyzing and matching the target data to obtain the minimum data set of the first object;

performing standardized data mapping on the first minimum data set of objects to obtain second object association information;

Analyzing and matching the associated information of the second object to obtain the largest data set of the second object;

Passing the second object maximum data set to a second object management domain.

The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative effort.

Through the above description of the implementations, those skilled in the art can clearly understand that each implementation can be implemented by means of software plus a necessary general hardware platform, and of course also by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic discs, optical discs, etc., including several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) execute the methods described in various embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still be Modifications are made to the technical solutions described in the foregoing embodiments, or equivalent replacements are made to some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various 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.

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