Asset data and configuration data fusion management method and device and related equipment

CN115495165BActive Publication Date: 2026-10-30CHINA CONSTRUCTION BANK
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Patent Information

Application Number
CN202211136192.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-19
Publication Date
2026-10-30
Estimated Expiration
2042-09-19

AI Technical Summary

Technical Problem

[0004]1、配置管理系统只管理物理设备的配置数据,资产数据由其他资产管理系统进行管理,但是,不易于配置数据和资产数据的关联查询

Benefits of technology

[0040]本发明实施例第四方面公开了一种计算机存储介质,所述计算机存储介质中存储有计算机可执行指令,所述计算机可执行指令被处理器加载并执行时,实现如本发明实施例第一方面中任一项所述的资产数据和配置数据融合管理方法。

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Abstract

The application provides an asset data and configuration data fusion management method and device and related equipment, and the method comprises the following steps: acquiring a plurality of physical devices in any data center, and the physical devices are provided with serial numbers in advance; for each physical device, an asset model and a configuration model are respectively established; the asset model is planned according to the purpose and function of the physical device, so that asset data is obtained; the configuration model is planned according to the business characteristics of the data center, so that configuration data is obtained; the association mapping relationship between the asset data and the configuration data is established through the serial number of the physical device; based on the association relationship, the serial numbers of the associated asset data and configuration data are determined, and the asset data and the configuration data are associated and inquired based on the serial numbers. Through the above method, the associated inquiry of the asset data and the configuration data and the separate management of the asset model and the configuration model can be realized.
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Description

Technical Field

[0001] This invention relates to the field of configuration management technology, and in particular to a method, apparatus and related equipment for the integrated management of asset data and configuration data. Background Technology

[0002] Based on the characteristics of data centers, the service objects of data centers are divided into eight major configuration areas: application, platform, virtualization, computing, storage, network, security, and server room. Each configuration area contains several configuration items, and configuration items can be set with sub-items. Both configuration items and configuration sub-items have their own attributes. Figure 1 The configuration management system model management page is displayed.

[0003] For physical device objects, there is both asset data and configuration data. However, existing configuration management systems have the following main problems in managing asset and configuration data for physical device objects:

[0004] 1. The configuration management system only manages the configuration data of physical devices, while asset data is managed by other asset management systems. However, it is not easy to query the relationship between configuration data and asset data.

[0005] 2. The configuration management system manages both physical device configuration data and asset data. Each configuration item maintains all configuration attributes and asset attributes. However, there are cases where there are too many model attributes, making it not concise enough. Summary of the Invention

[0006] In view of this, embodiments of the present invention provide a method, apparatus and related equipment for the integrated management of asset data and configuration data, so as to achieve the purpose of separate management of asset models and configuration models and the associated query of asset data and configuration data.

[0007] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0008] The first aspect of this invention discloses a method for the integrated management of asset data and configuration data, characterized in that it is applied to a configuration management system, and the method includes:

[0009] Obtain multiple physical devices in any data center, wherein the physical devices are pre-set with serial numbers;

[0010] For each of the aforementioned physical devices, an asset model and a configuration model are established separately;

[0011] Based on the purpose and function of the physical equipment, the asset model is planned to obtain asset data;

[0012] Based on the business characteristics of the data center, the configuration model is planned to obtain configuration data;

[0013] The association mapping relationship between the asset data and the configuration data is established by using the serial number of the physical device;

[0014] Based on the association, a serial number is determined to associate the asset data and the configuration data, and the asset data and the configuration data are queried based on the serial number.

[0015] Optionally, the step of planning the asset model based on the purpose and function of the physical equipment to obtain asset data includes:

[0016] Based on the purpose and function of the physical devices, multiple physical devices are divided into multiple asset categories to obtain asset data. The asset categories include computing devices, storage devices, network devices, security devices, data center devices, and other special-purpose devices. Each asset category has asset attributes.

[0017] Optionally, the step of planning the configuration model based on the business characteristics of the data center to obtain configuration data includes:

[0018] Based on the business characteristics of the data center, the configuration model is divided into multiple configuration domains to obtain configuration data. The configuration domains include application, platform, virtualization, computing, storage, network, security, and data center. The configuration domains involved in the physical devices only include computing, storage, network, security, and data center. Each configuration item belongs to one configuration domain, each configuration item has configuration attributes, and each configuration item is associated with one asset category.

[0019] Optionally, establishing the association mapping relationship between the asset data and the configuration data through the serial number of the physical device includes:

[0020] Determine each asset class in the asset model and the corresponding configuration domain in the configuration model;

[0021] By using the serial number of the physical device, an association mapping relationship is established between each asset category and the configuration domain in the configuration model corresponding to the asset category.

[0022] Optionally, establishing the association mapping relationship between each asset category and the configuration domain in the configuration model corresponding to the asset category through the serial number of the physical device includes:

[0023] Establish a first mapping relationship between each asset class and the configuration domain in the configuration model corresponding to the asset class;

[0024] Based on the first mapping relationship, determine each device type in the asset category and the configuration item in the configuration domain of the configuration model corresponding to the device type;

[0025] A second mapping relationship is established between each device type and the configuration item in the configuration domain of the configuration model corresponding to the device type, using the serial number of the physical device.

[0026] A second aspect of this invention discloses an asset data and configuration data fusion management device, applied to a configuration management system, the method comprising:

[0027] The acquisition module is used to acquire multiple physical devices in any data center, wherein the physical devices are pre-set with serial numbers;

[0028] The model building module is used to build an asset model and a configuration model for each of the aforementioned physical devices.

[0029] The asset model planning module is used to plan the asset model according to the purpose and function of the physical equipment to obtain asset data;

[0030] The configuration model planning module is used to plan the configuration model according to the business characteristics of the data center to obtain configuration data;

[0031] The association mapping establishment module is used to establish an association mapping relationship between the asset data and the configuration data through the serial number of the physical device;

[0032] The association query module is used to determine the serial number associated with the asset data and the configuration data based on the association relationship, and to query the asset data and the configuration data based on the serial number.

[0033] Optionally, the asset model planning module is specifically used for:

[0034] Based on the purpose and function of the physical devices, multiple physical devices are divided into multiple asset categories to obtain asset data. The asset categories include computing devices, storage devices, network devices, security devices, data center devices, and other special-purpose devices. Each asset category has asset attributes.

[0035] Optionally, the configuration model planning module is specifically used for:

[0036] Based on the business characteristics of the data center, the configuration model is divided into multiple configuration domains to obtain configuration data. The configuration domains include application, platform, virtualization, computing, storage, network, security, and data center. The configuration domains involved in the physical devices only include computing, storage, network, security, and data center. Each configuration item belongs to one configuration domain, each configuration item has configuration attributes, and each configuration item is associated with one asset category.

[0037] A third aspect of the present invention discloses an electronic device, the electronic device including a processor;

[0038] The memory is used to store computer programs;

[0039] When the processor is used to call and execute the computer program stored in the memory, it implements the asset data and configuration data fusion management method as described in any one of the first aspects of the present invention.

[0040] The fourth aspect of the present invention discloses a computer storage medium storing computer-executable instructions. When the computer-executable instructions are loaded and executed by a processor, the asset data and configuration data fusion management method as described in any one of the first aspects of the present invention is implemented.

[0041] Based on the above embodiments of the present invention, an asset data and configuration data fusion management method, apparatus, and related equipment are provided. The method includes: acquiring multiple physical devices in any data center, each physical device having a pre-set serial number; establishing an asset model and a configuration model for each physical device; planning the asset model according to the purpose and function of the physical device to obtain asset data; planning the configuration model according to the business characteristics of the data center to obtain configuration data; establishing an association mapping relationship between the asset data and the configuration data through the serial number of the physical device; determining the serial number associated with the asset data and the configuration data based on the association relationship, and querying the asset data and the configuration data based on the serial number. In this solution, after establishing asset models and configuration models for each physical device, the asset model is planned to obtain asset data, the configuration model is planned to obtain configuration data, and an association mapping relationship is established between the asset data and the configuration data through the serial number of the physical device. Based on this association mapping relationship, the association query of asset data and configuration data is realized, thereby achieving separate management of the asset model and the configuration model. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0043] Figure 1 A configuration management system model management page provided in an embodiment of the present invention;

[0044] Figure 2 A flowchart illustrating an asset data and configuration data fusion management method provided in an embodiment of the present invention;

[0045] Figure 3 This is an application scenario diagram of asset model planning provided by an embodiment of the present invention;

[0046] Figure 4 This is an application scenario diagram of a configuration model planning provided by an embodiment of the present invention;

[0047] Figure 5 This is an application scenario diagram illustrating the mapping relationship between an asset model and a configuration model, provided by an embodiment of the present invention.

[0048] Figure 6 This is an application scenario diagram illustrating the mapping relationship between device types and configuration items under a network device category, provided by an embodiment of the present invention.

[0049] Figure 7 This is an application scenario diagram of an asset data and configuration data association query provided by an embodiment of the present invention;

[0050] Figure 8 This is a schematic diagram of the structure of an asset data and configuration data fusion management device provided in an embodiment of the present invention;

[0051] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] In this application, the terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0054] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein.

[0055] To facilitate understanding of the technical solutions of this invention, the technical terms appearing in this invention are explained as follows:

[0056] Asset data: Data generated before the resource delivery process.

[0057] Configuration data: Data generated after the resource delivery process.

[0058] A Configuration Item (CI) is an asset, service component, or other project that is or will be under configuration management. Configuration items can vary greatly in complexity, size, and type. It can be an entire service or system encompassing all hardware, software, documentation, and support personnel, or it can be a single software module or a small hardware component. Configuration items may be grouped together for management; for example, a series of components may be integrated into a single release.

[0059] As can be seen from the background technology, existing configuration management systems are not easy to query in relation to configuration data and asset data, and they also have a large number of model attributes, making them not concise enough.

[0060] Therefore, embodiments of the present invention provide a method, apparatus, and related equipment for the integrated management of asset data and configuration data. In this solution, after establishing asset models and configuration models based on physical devices, the asset model is planned to obtain asset data, and the configuration model is planned to obtain configuration data. The association mapping relationship between asset data and configuration data is established through the serial number of the physical device, thereby enabling the association query of asset data and configuration data based on the association mapping relationship, and thus enabling the separate management of asset models and configuration models.

[0061] like Figure 2The diagram shown is a flowchart illustrating an asset data and configuration data fusion management method provided in an embodiment of the present invention.

[0062] This method of integrating asset data and configuration data management is applied to the configuration management system.

[0063] The method for integrating and managing asset and configuration data mainly includes the following steps:

[0064] Step S201: Obtain multiple physical devices in any data center.

[0065] In step S201, the physical device is pre-set with a serial number.

[0066] In this embodiment of the invention, a physical device can be understood as a physical device class object.

[0067] In the specific implementation of step S201, as can be seen from the characteristics of data centers, the service objects of data centers are divided into applications, platforms, virtualization, computing, storage, networks, security and server rooms. Each service object is composed of multiple physical devices. Subsequent asset data and configuration data can be formed through physical devices. Therefore, it is necessary to first obtain multiple physical devices in any data center.

[0068] Step S202: For each physical device, establish an asset model and a configuration model respectively.

[0069] In the specific implementation step S202, for each acquired physical device, the types and quantities of physical devices required to establish the asset model and configuration model are first determined. Based on the types and quantities of physical devices required to establish the asset model, the asset model is established, and based on the types and quantities of physical devices required to establish the configuration model, the configuration model is established.

[0070] Step S203: Based on the purpose and function of the physical equipment, plan the asset model to obtain asset data.

[0071] In step S203, the physical devices include, but are not limited to, computing devices, storage devices, network devices, security devices, data center devices, and other dedicated devices, specifically including, but not limited to, switches and routers.

[0072] It should be noted that the purpose and function of physical devices, such as switches, are used to connect multiple devices, enabling them to communicate with each other on a network. They are network devices used for forwarding electrical (optical) signals.

[0073] In the specific implementation step S203, the purpose and function of each physical device are determined, and the asset model is planned according to the purpose and function of each physical device to obtain asset data.

[0074] Optionally, in one specific embodiment, multiple physical devices are divided into multiple asset categories according to their purpose and function to obtain asset data.

[0075] The asset categories include computing equipment, storage equipment, network equipment, security equipment, data center equipment, and other specialized equipment.

[0076] Each asset class has its own asset attributes.

[0077] It is understandable that multiple asset attributes form an asset category, multiple asset categories constitute an asset model, and the asset model stores asset data.

[0078] like Figure 3 The diagram shown illustrates an application scenario for asset model planning provided by an embodiment of the present invention.

[0079] exist Figure 3 Based on the purpose and function of the physical equipment, multiple physical devices are divided into multiple asset categories, namely, computing devices, storage devices, network devices, security devices, data center devices and other special-purpose devices, to obtain asset data.

[0080] Each asset class has its own asset attributes.

[0081] For example, the asset attributes set for data center equipment asset categories include, but are not limited to, serial numbers and card numbers.

[0082] Step S204: Based on the business characteristics of the data center, plan the configuration model to obtain configuration data.

[0083] It should be noted that data center operations have specific characteristics, such as: the data center security department is specifically responsible for the use and maintenance of security equipment, and the network department is specifically responsible for the use and maintenance of network equipment.

[0084] In the specific implementation step S204, the characteristics of each service in the data center are determined, and the configuration model is planned according to the characteristics of each service in the data center to obtain configuration data.

[0085] Optionally, in one specific embodiment, the configuration model is divided into multiple configuration domains according to the business characteristics of the data center to obtain configuration data.

[0086] The configuration areas include applications, platforms, virtualization, computing, storage, networking, security, and data centers.

[0087] The physical equipment configurations involved only cover computing, storage, networking, security, and data centers.

[0088] Each configuration item belongs to a configuration domain, each configuration item has configuration attributes, and each configuration item is associated with an asset class.

[0089] It is understandable that multiple configuration attributes form configuration items, multiple configuration items form configuration domains, multiple configuration domains constitute a configuration model, and the configuration model stores configuration data.

[0090] like Figure 4 The diagram shown illustrates an application scenario of a configuration model planning method provided by an embodiment of the present invention.

[0091] exist Figure 4 In this process, based on the business characteristics of the data center, the configuration model is divided into multiple configuration domains, namely: application, platform, virtualization, computing, storage, network, security and data center configuration domains, to obtain configuration data.

[0092] For example, in the field of data center configuration, each configuration item in a rack server has configuration attributes. For example, for the configuration item SAN storage, the corresponding configuration attributes include, but are not limited to, instance retrieval name and serial number.

[0093] Step S205: Establish a mapping relationship between asset data and configuration data using the serial number of the physical device.

[0094] In the specific implementation step S205, since the asset data consists of data corresponding to multiple asset categories and the configuration data consists of data corresponding to multiple configuration fields, the asset categories and configuration fields are associated and mapped through the serial number of the physical device. In other words, the associated and mapped relationship between asset data and configuration data can be established through the serial number of the physical device.

[0095] Optionally, step S205, which establishes the association mapping relationship between asset data and configuration data using the serial number of the physical device, mainly includes the following steps:

[0096] Step S11: Determine each asset class in the asset model and the configuration domain in the configuration model corresponding to the asset class.

[0097] Step S12: Establish the association mapping relationship between each asset category and the configuration domain in the configuration model corresponding to the asset category through the serial number of the physical device.

[0098] Optionally, step S12, which establishes the association mapping relationship between each asset category and the configuration domain in the corresponding configuration model using the serial number of the physical device, mainly includes the following steps:

[0099] Step S21: Establish the first mapping relationship between each asset class and the configuration domain in the configuration model corresponding to the asset class.

[0100] Step S22: Based on the first mapping relationship, determine the configuration items in the configuration domain of each device type in the asset category and the configuration model corresponding to the device type.

[0101] Step S23: Establish a second mapping relationship between each device type and the configuration items in the configuration domain of the configuration model corresponding to the device type, using the serial number of the physical device.

[0102] like Figure 5 The diagram shown illustrates an application scenario of the mapping relationship between an asset model and a configuration model provided by an embodiment of the present invention.

[0103] exist Figure 5 In this process, a mapping relationship is established between each asset category and its configuration domain. For each type of equipment under an asset category, there is an asset category to which it belongs and a corresponding configuration item. Each configuration item has a configuration domain to which it belongs.

[0104] Specifically, computing devices correspond to the computing field, network devices to the network field, storage devices to the storage field, security devices to the security field, other specialized equipment to the security field, and data center equipment to the data center field.

[0105] Taking network devices as an example, such as Figure 6 The diagram shown is an application scenario diagram illustrating the mapping relationship between device types and configuration items provided by an embodiment of the present invention, describing the mapping relationship between device types and configuration items under network device categories.

[0106] exist Figure 6 In the asset model, "device type" is an attribute of network devices, with values ​​such as "router, switch," etc. In the configuration model, "router, switch," etc., are independent configuration items within the network domain. The relationship between device type and configuration items is either many-to-one or one-to-one.

[0107] Specifically, based on the serial numbers of physical devices, mapping relationships are established sequentially between high-end routers under the network device category and routers under the network domain category, between low-end routers under the network device category and routers under the network domain category, between routers under the network device category and routers under the network domain category, between switches under the network device category and switches under the network domain category, and between load balancers under the network device category and load balancers under the network domain category.

[0108] Step S206: Based on the association relationship, determine the serial number of the associated asset data and configuration data, and query the asset data and configuration data based on the serial number.

[0109] In the specific implementation step S206, based on the association relationship, the serial number of the physical device associated with the asset data and configuration data is determined. The serial number of the physical device is used to determine whether the physical device is the same device. If it is the same device, the asset data and configuration data are queried based on the serial number of the physical device.

[0110] For example, taking a switch as an example, such as Figure 7 The diagram shown illustrates an application scenario for a correlation query of asset data and configuration data provided in an embodiment of the present invention, demonstrating the correlation query method.

[0111] exist Figure 7 In the process, asset data of the switch can be obtained in the asset model, and configuration data of the switch can be obtained in the configuration model. The serial number of the switch in the asset model and the serial number of the switch in the configuration model are determined. After determining that the switch in the asset model and the switch in the configuration model are the same device, the asset data and configuration data are combined through the serial number as a common attribute and provided to the downstream system.

[0112] Based on the above description, in this embodiment of the invention, the asset model and configuration model are managed separately, rather than directly adding asset attributes and configuration attributes to each configuration item, making the configuration item attributes more concise. Asset data and configuration data are queried via serial number association, eliminating the need for cross-system or cross-database queries, resulting in more comprehensive and faster data acquisition.

[0113] This invention provides a method for fusion management of asset data and configuration data. The method involves acquiring multiple physical devices in any data center, each with a pre-set serial number. For each physical device, an asset model and a configuration model are established. The asset model is planned according to the device's purpose and function to obtain asset data. The configuration model is planned according to the data center's business characteristics to obtain configuration data. An association mapping relationship is established between the asset data and configuration data using the physical device's serial number. Based on this association relationship, the serial numbers of the associated asset data and configuration data are determined, and the asset data and configuration data are queried based on these serial numbers. In this solution, after establishing asset and configuration models for each physical device, the asset model is planned to obtain asset data, and the configuration model is planned to obtain configuration data. An association mapping relationship is established between the asset data and configuration data using the physical device's serial number, thereby enabling the querying of associated asset data and configuration data based on this association mapping relationship, and ultimately achieving separate management of the asset model and configuration model.

[0114] Corresponding to the asset data and configuration data fusion management method shown in the above embodiments of the present invention, the present invention also provides an asset data and configuration data fusion management device, which is applied to a configuration management system, such as... Figure 8 As shown, the asset data and configuration data fusion management device includes: an acquisition module 801, a model building module 802, an asset model planning module 803, a configuration model planning module 804, an association mapping establishment module 805, and an association query module 806.

[0115] The acquisition module 801 is used to acquire multiple physical devices in any data center.

[0116] Among them, the physical devices are pre-set with serial numbers.

[0117] The model building module 802 is used to build an asset model and a configuration model for each physical device.

[0118] The asset model planning module 803 is used to plan the asset model based on the purpose and function of the physical equipment to obtain asset data.

[0119] The configuration model planning module 804 is used to plan the configuration model based on the business characteristics of the data center and obtain configuration data.

[0120] The association mapping establishment module 805 is used to establish an association mapping relationship between asset data and configuration data through the serial number of physical devices.

[0121] The associated query module 806 is used to determine the serial number of associated asset data and configuration data based on the association relationship, and to query the asset data and configuration data based on the serial number.

[0122] Optionally, based on the above Figure 8 The asset model planning module 803 shown is specifically used for:

[0123] Based on the purpose and function of the physical equipment, multiple physical devices are divided into multiple asset categories to obtain asset data.

[0124] The asset categories include computing equipment, storage equipment, network equipment, security equipment, data center equipment, and other specialized equipment, and each asset category has its own asset attributes.

[0125] Optionally, based on the above Figure 8 The configuration model planning module 804 shown is specifically used for:

[0126] Based on the business characteristics of the data center, the configuration model is divided into multiple configuration domains to obtain configuration data.

[0127] The configuration domains include applications, platforms, virtualization, computing, storage, networking, security, and data centers. The configuration domains for physical devices are limited to computing, storage, networking, security, and data centers. Each configuration item belongs to a configuration domain, each configuration item has configuration attributes, and each configuration item is associated with an asset category.

[0128] Optionally, based on the above Figure 8 The association mapping establishment module 805 shown includes:

[0129] The determination unit is used to determine each asset class in the asset model and the configuration domain in the configuration model corresponding to the asset class.

[0130] The establishment unit is used to establish an association mapping relationship between each asset class and the configuration domain in the configuration model corresponding to the asset class, based on the serial number of the physical device.

[0131] Optionally, based on the above Figure 8 The illustrated association mapping establishment module 805 includes:

[0132] The first sub-unit is used to establish the first mapping relationship between each asset class and the configuration domain in the configuration model corresponding to the asset class.

[0133] The sub-unit is determined based on the first mapping relationship to determine each device type in the asset category and the configuration item in the configuration domain of the configuration model corresponding to the device type.

[0134] The second establishment subunit is used to establish a second mapping relationship between each device type and the configuration items in the configuration domain of the configuration model corresponding to the device type, based on the serial number of the physical device.

[0135] It should be noted that the specific principles and execution processes of each module in the asset data and configuration data fusion management device disclosed in the above embodiments of the present invention are the same as those of the asset data and configuration data fusion management method of the present invention. Please refer to the corresponding parts of the asset data and configuration data fusion management method disclosed in the above embodiments of the present invention, and they will not be repeated here.

[0136] This invention provides an asset data and configuration data fusion management device. It acquires multiple physical devices in any data center, each with a pre-set serial number. For each physical device, an asset model and a configuration model are established. Based on the device's purpose and function, the asset model is planned to obtain asset data. Based on the data center's business characteristics, the configuration model is planned to obtain configuration data. An association mapping relationship is established between the asset data and configuration data using the physical device's serial number. Based on this association relationship, the serial numbers of the associated asset data and configuration data are determined, and the asset data and configuration data are queried based on these serial numbers. In this solution, after establishing asset models and configuration models for each physical device, the asset model is planned to obtain asset data, and the configuration model is planned to obtain configuration data. An association mapping relationship is established between the asset data and configuration data using the physical device's serial number, thereby enabling the associated query of asset data and configuration data based on this association mapping relationship, and ultimately achieving separate management of the asset model and configuration model.

[0137] Based on the asset data and configuration data fusion management device disclosed in the above embodiments of the present invention, each of the above modules can be implemented by a hardware device consisting of a processor and a memory. Specifically, each of the above modules is stored as a program unit in the memory, and the processor executes the program units stored in the memory to realize the fusion management of asset data and configuration data.

[0138] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and the integration and management of asset and configuration data can be achieved by adjusting kernel parameters.

[0139] This invention provides a computer storage medium, which includes a program for managing the fusion of stored asset data and configuration data. When the program is executed by a processor, it implements the asset data and configuration data fusion management method as described in any of the above embodiments.

[0140] This invention provides a processor for running a program, wherein the program executes the asset data and configuration data fusion management method disclosed in the above embodiments.

[0141] This invention provides an electronic device, such as... Figure 9 The diagram shown is a structural schematic of an electronic device 90 provided in an embodiment of the present invention.

[0142] The electronic devices in the embodiments of the present invention can be servers, PCs, PADs, mobile phones, etc.

[0143] The electronic device includes at least one processor 901, at least one memory 902 connected to the processor, and a bus 903.

[0144] The processor 901 and the memory 902 communicate with each other via the bus 903. The processor 901 is used to execute the program stored in the memory 902.

[0145] The memory 902 is used to store a program that is at least used for: acquiring multiple physical devices in any data center, each with a pre-set serial number; establishing an asset model and a configuration model for each physical device; planning the asset model according to the purpose and function of the physical device to obtain asset data; planning the configuration model according to the business characteristics of the data center to obtain configuration data; establishing an association mapping relationship between the asset data and the configuration data through the serial numbers of the physical devices; determining the serial numbers of the associated asset data and configuration data based on the association relationship, and querying the asset data and configuration data based on the serial numbers.

[0146] This application also provides a computer program product, which, when executed on an electronic device, is suitable for executing a program that initializes the following method steps:

[0147] The system acquires multiple physical devices in any data center, each with a pre-assigned serial number. For each physical device, an asset model and a configuration model are established. Based on the purpose and function of the physical device, the asset model is planned to obtain asset data. Based on the business characteristics of the data center, the configuration model is planned to obtain configuration data. Through the serial numbers of the physical devices, an association mapping relationship is established between the asset data and the configuration data. Based on the association relationship, the serial numbers of the associated asset data and configuration data are determined, and the asset data and configuration data are queried based on the serial numbers.

[0148] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0149] In a typical configuration, the device includes one or more processors (CPUs), memory, and a bus. The device may also include input / output interfaces, network interfaces, etc.

[0150] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM, and memory includes at least one memory chip. Memory is an example of computer-readable media.

[0151] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0152] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0153] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0154] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for the integrated management of asset data and configuration data, characterized in that, Applied to a configuration management system, the method includes: Obtain multiple physical devices in any data center, wherein the physical devices are pre-set with serial numbers; For each of the aforementioned physical devices, an asset model and a configuration model are established separately; Based on the purpose and function of the physical equipment, the asset model is planned to obtain asset data, including: dividing multiple physical equipment into multiple asset categories based on the purpose and function of the physical equipment to obtain asset data. The asset categories include computing equipment, storage equipment, network equipment, security equipment, data center equipment and other special equipment. Each asset category has asset attributes. Based on the business characteristics of the data center, the configuration model is planned to obtain configuration data, including: dividing the configuration model into multiple configuration domains based on the business characteristics of the data center to obtain configuration data. The configuration domains include application, platform, virtualization, computing, storage, network, security, and data center. The configuration domains involved in the physical devices only include computing, storage, network, security, and data center. Each configuration item belongs to one configuration domain, each configuration item has a configuration attribute, and each configuration item is associated with one asset category. The association mapping relationship between the asset data and the configuration data is established by using the serial number of the physical device; When it is necessary to perform a query that associates asset data and configuration data, the sequence number associated with the asset data and the configuration data is determined based on the association mapping relationship, and the asset data and the configuration data are queried based on the sequence number.

2. The method according to claim 1, characterized in that, The step of establishing the association mapping relationship between the asset data and the configuration data through the serial number of the physical device includes: Determine each asset class in the asset model and the corresponding configuration domain in the configuration model; By using the serial number of the physical device, an association mapping relationship is established between each asset category and the configuration domain in the configuration model corresponding to the asset category.

3. The method according to claim 2, characterized in that, The step of establishing an association mapping relationship between each asset category and the configuration domain in the configuration model corresponding to the asset category through the serial number of the physical device includes: Establish a first mapping relationship between each asset class and the configuration domain in the configuration model corresponding to the asset class; Based on the first mapping relationship, determine each device type in the asset category and the configuration item in the configuration domain of the configuration model corresponding to the device type; A second mapping relationship is established between each device type and the configuration item in the configuration domain of the configuration model corresponding to the device type, using the serial number of the physical device.

4. A device for fusion management of asset data and configuration data, characterized in that, The device is used in a configuration management system and includes: The acquisition module is used to acquire multiple physical devices in any data center, wherein the physical devices are pre-set with serial numbers; The model building module is used to build an asset model and a configuration model for each of the aforementioned physical devices. The asset model planning module is used to plan the asset model according to the purpose and function of the physical equipment to obtain asset data; Specifically, the asset model planning module is used for: Based on the purpose and function of the physical devices, multiple physical devices are divided into multiple asset categories to obtain asset data. The asset categories include computing devices, storage devices, network devices, security devices, data center devices, and other special-purpose devices. Each asset category has asset attributes. The configuration model planning module is used to plan the configuration model according to the business characteristics of the data center to obtain configuration data; Specifically, the configuration model planning module is used for: Based on the business characteristics of the data center, the configuration model is divided into multiple configuration domains to obtain configuration data. The configuration domains include application, platform, virtualization, computing, storage, network, security, and data center. The physical devices only involve the configuration domains of computing, storage, network, security, and data center. Each configuration item belongs to one configuration domain, each configuration item has configuration attributes, and each configuration item is associated with one asset category. The association mapping establishment module is used to establish an association mapping relationship between the asset data and the configuration data through the serial number of the physical device; The association query module is used to determine the sequence number associated with the asset data and the configuration data based on the association mapping relationship when it is necessary to perform an association query of asset data and configuration data, and to query the asset data and the configuration data based on the sequence number.

5. An electronic device, characterized in that, The electronic device includes a memory and a processor; The memory is used to store computer programs; When the processor calls and executes the computer program stored in the memory, it implements the asset data and configuration data fusion management method as described in any one of claims 1 to 3.

6. A computer storage medium, characterized in that, The computer storage medium stores computer-executable instructions, which, when loaded and executed by a processor, implement the asset data and configuration data fusion management method as described in any one of claims 1 to 3.

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