CN114253734A

CN114253734A - Resource calling method and device, electronic equipment and computer readable storage medium

Info

Publication number: CN114253734A
Application number: CN202111607092.6A
Authority: CN
Inventors: 丁明; 陶欣; 张月凯; 裴海涛; 罗洪渊; 徐玉印
Original assignee: CCB Finetech Co Ltd
Current assignee: CCB Finetech Co Ltd
Priority date: 2021-12-24
Filing date: 2021-12-24
Publication date: 2022-03-29

Abstract

The disclosure provides a resource calling method and device, electronic equipment and a computer-readable storage medium, and can be used in the technical field of cloud management and financial technology. The resource calling method comprises the following steps: acquiring resource configuration information and resource allocation rules associated with a target service system; determining a resource allocation result associated with the target service system according to the resource allocation information and the resource allocation rule; and calling the target cloud resources according to the resource allocation result so that the target service system executes the target service by using the target cloud resources.

Description

Resource calling method and device, electronic equipment and computer readable storage medium

Technical Field

The present disclosure relates to the field of cloud management technologies, and in particular, to a resource calling method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

Background

With the development of cloud computing technology, more and more enterprises adopt multiple clouds, and the enterprises need to uniformly manage various public clouds, private clouds and container clouds and support inventory management machines.

In implementing the disclosed concept, the inventors found that there are at least the following problems in the related art: the existing cloud management platform product is generally a product developed according to different cloud platforms in a customized manner, and differences between different cloud platforms and self versions of the cloud platforms are not shielded, so that inconvenience is brought to a user under the condition of version change or API (application program interface) upgrading, for example, plug-in modules need to be re-developed and upgraded, the user needs to confirm and convert cloud platform resources, and the like.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a resource calling method, apparatus, device, medium, and program product.

In a first aspect of the present disclosure, a resource calling method is provided, including:

acquiring resource configuration information and resource allocation rules associated with a target service system;

determining a resource allocation result associated with the target service system according to the resource allocation information and the resource allocation rule;

and calling the target cloud resources according to the resource allocation result so that the target service system executes the target service by using the target cloud resources.

According to an embodiment of the present disclosure, wherein: the resource configuration information comprises resource management level information under a plurality of preset types of resources related to the target service system and service attribute information in each layer of resource management level, wherein the plurality of preset types of resources comprise application resources, computing resources and network resources;

the resource allocation rules are used to characterize: the hierarchical matching relationship and the service attribute matching relationship between the application resources and the computing resources, and the hierarchical matching relationship and the service attribute matching relationship between the computing resources and the network resources.

According to an embodiment of the present disclosure, determining a resource allocation result associated with the target business system according to the resource configuration information and the resource allocation rule includes:

according to the hierarchical matching relationship between the application resources and the computing resources and the business attribute matching relationship, matching and checking a target application resource attribute value in a target application resource layer in the application resources and a target computing resource attribute value in a target computing resource layer in the computing resources;

and determining a computing resource distribution result associated with the target business system under the condition that the target application resource attribute value is matched with the target computing resource attribute value.

According to an embodiment of the present disclosure, determining a resource allocation result associated with the target service system according to the resource configuration information and the resource allocation rule further includes:

matching and checking the target computing resource attribute value and a target network resource attribute value in a target network resource layer in the network resources according to the computing resource allocation result, the hierarchy matching relationship between the computing resources and the network resources and the service attribute matching relationship;

and determining a network resource allocation result associated with the target service system under the condition that the target computing resource attribute value is matched with the target network resource attribute value.

According to the embodiment of the present disclosure, the invoking the target cloud resource according to the resource allocation result includes:

acquiring an interface calling mode associated with a resource allocation result;

and calling a target interface of the target cloud platform according to the interface calling mode so as to realize the calling of the target cloud resources.

According to the embodiment of the disclosure, the calling the target interface of the target cloud platform according to the interface calling mode comprises:

generating a cloud operation request by using a plug-in layer according to an interface calling mode;

and calling a target interface of the target cloud platform by using the adaptation layer according to the cloud operation request.

According to the embodiment of the disclosure, the calling the target interface of the target cloud platform according to the cloud operation request by using the adaptation layer comprises:

analyzing the cloud operation request by utilizing an adaptation layer according to a preset request message analysis rule so as to convert an original request parameter in the cloud operation request into a target request parameter and then send the target request parameter to a target interface of a target cloud platform;

and analyzing the response message from the target interface of the target cloud platform by using the adaptation layer according to a preset response message analysis rule so as to convert the original service field in the response message into the target service field.

A second aspect of the present disclosure provides a resource invoking device, which includes an obtaining module, a determining module, and an invoking module.

The acquisition module is used for acquiring resource configuration information and resource allocation rules associated with the target service system;

the determining module is used for determining a resource allocation result associated with the target service system according to the resource allocation information and the resource allocation rule;

and the calling module is used for calling the target cloud resources according to the resource allocation result so that the target service system executes the target service by using the target cloud resources.

According to the embodiment of the disclosure, the determining module comprises a first matching unit and a first determining unit.

The first matching unit is used for matching and checking a target application resource attribute value in a target application resource layer in the application resources with a target calculation resource attribute value in a target calculation resource layer in the calculation resources according to a hierarchical matching relationship and a service attribute matching relationship between the application resources and the calculation resources;

and the first determining unit is used for determining a computing resource distribution result associated with the target business system under the condition that the target application resource attribute value is matched with the target computing resource attribute value.

According to an embodiment of the present disclosure, wherein the determining module further comprises a second matching unit and a second determining unit.

The second matching unit is used for matching and checking the target computing resource attribute value and a target network resource attribute value in a target network resource layer in the network resources according to the computing resource allocation result, the hierarchy matching relationship between the computing resources and the network resources and the service attribute matching relationship;

and the second determining unit is used for determining a network resource distribution result associated with the target service system under the condition that the target computing resource attribute value is matched with the target network resource attribute value.

According to the embodiment of the disclosure, the calling module comprises an obtaining unit and a calling unit.

The acquisition unit is used for acquiring an interface calling mode associated with the resource allocation result;

and the calling unit is used for calling a target interface of the target cloud platform according to the interface calling mode so as to realize calling of the target cloud resources.

According to an embodiment of the present disclosure, wherein the calling unit includes a generating subunit and a calling subunit.

The generation subunit is used for generating a cloud operation request according to an interface calling mode by utilizing a plug-in layer;

and the calling subunit is used for calling a target interface of the target cloud platform by using the adaptation layer according to the cloud operation request.

According to the embodiment of the disclosure, in the calling subunit, calling the target interface of the target cloud platform according to the cloud operation request by using the adaptation layer includes:

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described resource invocation methods.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described resource calling method.

A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described resource invocation method.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram of a resource invocation method, apparatus, device, medium, and program product according to embodiments of the present disclosure;

FIG. 2 schematically illustrates a flow diagram of a resource invocation method in accordance with an embodiment of the present disclosure;

FIG. 3 is a schematic diagram illustrating an operation interface for configuring resource configuration information by a user according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a system diagram of a resource invocation method according to an embodiment of the present disclosure;

FIG. 5 is a block diagram schematically illustrating an architecture of a resource invocation device according to an embodiment of the present disclosure; and

FIG. 6 schematically illustrates a block diagram of an electronic device adapted to implement a resource invocation method in accordance with an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

It should be noted that, in the technical solution of the present disclosure, before acquiring or collecting the personal information of the user, the authorization or the consent of the user is obtained.

With the development of cloud computing technology, more and more enterprises have adopted multiple clouds, such as various public clouds and private clouds, the public clouds generally refer to clouds that can be used and provided by third-party providers for users, and the public clouds generally can be used through the Internet and can be free or low in cost. There are many instances of such a cloud that can provide services throughout an open public network. Private cloud refers to a computing service that is provided only to a particular user over the Internet or a dedicated internal network. A private cloud is also referred to as an in-house cloud or a company cloud, which owns the infrastructure and can control the manner in which applications are deployed on this infrastructure.

With the development of cloud computing technology, more and more enterprises adopt multiple clouds, and the enterprises need to uniformly manage various public clouds, private clouds and container clouds and support inventory management machines. Therefore, cloud management techniques have been developed. The Cloud Management Platform (CMP) is a product for providing integrated management for public cloud, private cloud and mixed cloud, provides the integration capability of multiple infrastructures, provides the cross-platform editing capability, and provides the multi-tenant and multi-level resource access management capability.

The cloud management platform defines a cloud resource layer, a cloud architecture layer and a cloud management platform layer. Wherein: the cloud resource layer provides computing, network and storage resources for the cloud architecture layer; the cloud architecture layer is borne on the resource layer, and the physical resources are virtualized into heterogeneous cloud platform resources through VMware vCenter, OpenStack, Docker container platforms and the like, so that the capability of running a plurality of virtual machines or containers on a physical server hardware platform is realized, and meanwhile, an interface is provided for upper layer calling; and the Cloud Management (CMP) layer is a user-oriented use layer, realizes unified management on heterogeneous infrastructure at the bottom layer, and provides self-service and corresponding management for upper-layer users. Different cloud products are provided with respective management interfaces and respective independent control consoles, and in order to realize the management of different cloud resources, the multi-cloud unified management needs to be realized.

In implementing the disclosed concept, the inventors found that there are at least the following problems in the related art: the existing cloud management platform product is generally a product developed according to customization of different cloud platforms, for example, a customized plug-in or SDK is developed for different cloud platforms, and this way does not shield the difference between different cloud platforms and the difference between versions of the cloud platforms, which causes inconvenience to users in the case of version change or API upgrade, for example, the plug-in needs to be re-developed and upgraded, and the users need to confirm to convert cloud platform resources.

In view of this, an embodiment of the present disclosure provides a resource calling method, including:

determining a resource allocation result associated with the target business system according to the resource allocation information and the resource allocation rule;

and calling target cloud resources according to the resource allocation result so that the target service system executes the target service by using the target cloud resources.

Fig. 1 schematically illustrates an application scenario diagram of a resource calling method, apparatus, device, medium, and program product according to embodiments of the disclosure.

As shown in fig. 1, the system architecture 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

According to an embodiment of the present disclosure, in an application scenario of the present disclosure, a user may use the

terminal devices

101, 102, and 103 to initiate a request for obtaining a resource allocation result to the server 105 through the network 104, for example, the user may enter resource configuration information, such as resource management hierarchy information under each resource type, service attribute information in each resource management hierarchy, and the like through an operation interface of the

terminal devices

101, 102, and 103, and after receiving the resource configuration information, the server determines the resource allocation result according to the resource configuration information and preset resource allocation, and returns the resource allocation result to the user. The server 105 may also further invoke a relevant interface of each cloud platform according to a resource allocation result based on a resource invocation request initiated by the user, so as to implement invocation of various cloud resources.

It should be noted that the resource calling method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the resource invoking device provided by the embodiments of the present disclosure may be generally disposed in the server 105. The resource calling method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Correspondingly, the resource invoking device provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The resource calling method of the disclosed embodiment will be described in detail below with fig. 2 to 6 based on the scenario described in fig. 1.

FIG. 2 schematically shows a flow diagram of a resource invocation method according to an embodiment of the present disclosure.

As shown in fig. 2, the resource calling method of this embodiment includes operations S201 to S203.

In operation S201, acquiring resource configuration information and resource allocation rules associated with a target service system;

in operation S202, a resource allocation result associated with the target service system is determined according to the resource configuration information and the resource allocation rule;

in operation S203, a target cloud resource is called according to the resource allocation result, so that the target service system executes the target service using the target cloud resource.

According to the embodiment of the disclosure, the target business system is a currently processed business system, and may be any business system, such as an online banking business system, a personal loan business system, a quick payment business system, and the like. The target business system processing business can be realized by calling the third-party cloud platform service resources, so that the cloud resources need to be managed to realize the calling of the related resources.

According to the embodiment of the disclosure, in the process of realizing cloud resource management and calling, relevant cloud resources can be managed in a user-defined mode, so that relevant resource configuration information needs to be acquired, and therefore, user-defined allocation of various resources can be realized according to the resource configuration information. The resource configuration information comprises resource management level information under a plurality of preset types of resources related to the target service system and service attribute information in each layer of resource management level.

According to an embodiment of the present disclosure, the resource allocation rule is used to characterize a matching relationship between different types of resources, for example, the matching relationship between a service field "security zone" in a deployment unit hierarchy under an application resource and a service field "security zone" in a resource pool hierarchy in a computing resource is "equal to".

According to the embodiment of the disclosure, a resource allocation result associated with a target business system is determined according to the resource configuration information and the resource allocation rule. For example, when the service attribute fields corresponding to the related hierarchies of the different types of resources are equal, the different types of resources may be matched so as to allocate the related resources after matching.

According to the embodiment of the disclosure, the resource allocation information and the resource allocation rule are set according to the resource allocation relationship and the allocation rule defined by the user, and the resource allocation result associated with the target service system is determined according to the resource allocation information and the resource allocation rule, so that the non-customized self-defined allocation and management of different cloud platform resources can be realized, the detailed management of the cloud platform resources is realized, the cloud platform resources are directly displayed for the user to select, the problems that the resources of a plurality of cloud platforms cannot be compatibly managed and management plug-ins need to be frequently developed and updated and the like caused by customized products are solved, and the purposes of shielding the difference between different cloud platforms and the difference between the versions of the cloud platforms are achieved.

According to an embodiment of the present disclosure, the resource configuration information includes resource management level information under a plurality of preset types of resources associated with the target service system, and service attribute information in each resource management level, and specifically, the resource management level information may include a level name, a level code, and a level relationship of each resource management level; the service attribute information in each resource management hierarchy may include a service attribute name, an attribute code, a rank, and an attribute type in each hierarchy, where the attribute types include but are not limited to: text, single choice, multiple choice, number, date, custom API, custom page, etc.

According to the embodiment of the disclosure, the plurality of preset types of resources include, but are not limited to, application resources, computing resources, and network resources, and management models under different types of resources can be defined according to the difference in customer demands.

According to the embodiment of the present disclosure, in the application resource model associated with the resource configuration information under the application resource, the resource management level information may be, for example, that the resource model includes two levels: an application system and a deployment unit.

The service attribute information in the application system hierarchy may include a chinese name, an english name, a system service code, a system level, and other service attribute fields.

The service attribute information in the deployment unit hierarchy may include a chinese name, an english name, a deployment unit code, a deployment unit type, a deployment platform, a service type, a resource tag, and other service attribute fields.

According to an embodiment of the present disclosure, in the computing resource model associated with the resource configuration information under the computing resource, the resource management level information may be, for example, that the resource model includes four levels: the system comprises a cloud platform, a resource pool, a cloud deployment unit and an available area.

The service attribute information in the cloud platform hierarchy may include service attribute fields such as a cloud platform name, an authentication URL, a user name, and a password.

The service attribute information in the resource pool hierarchy may include service attribute fields such as chinese name, english name, service type, resource tag, and the like.

The service attribute information in the cloud deployment unit hierarchy may include service attribute fields such as a chinese name, an english name, a platform type, and the like.

The service attribute information in the usable area hierarchy may include a usable area name, a virtual machine information page, and other service attribute fields.

According to the embodiment of the present disclosure, in the network resource model associated with the resource configuration information under the network resource, the resource management level information may be, for example, that the resource model includes four levels: cloud platform, virtual network, subnet, C section.

The service attribute information in the cloud platform hierarchy may be a service attribute field such as a cloud platform name and a cloud platform type.

The service attribute information in the virtual network layer can be service attribute fields such as network name, network segment, platform type and the like.

The service attribute information in the subnet hierarchy can be a subnet name, a subnet segment, a subnet gateway and other service attribute fields.

The service attribute information in the C segment hierarchy may be a service attribute field such as a C segment name, a C segment mask, a C segment tag, a C segment type, and the like.

According to the embodiment of the disclosure, the resource configuration information can be preset by user customization, and the user can input the resource configuration information through a user-defined operation interface of the management platform.

FIG. 3 is a schematic diagram of an operation interface for configuring resource configuration information by a user according to an embodiment of the disclosure.

Fig. 3 is a schematic interface diagram of resource configuration information under user-defined setting of computing resources, and as shown in fig. 3, the computing resource model includes four levels: cloud platform, resource pool, cloud deployment unit (CDP), usable area. The service attribute information in the resource pool hierarchy may include a chinese name, an english name, a short name, an environment tag, a region tag, and other service parameter coding information and type information.

According to an embodiment of the present disclosure, the resource allocation rule is used to characterize a matching relationship between different types of resources, and specifically may include: the hierarchical matching relationship and the service attribute matching relationship between the application resources and the computing resources, and the hierarchical matching relationship and the service attribute matching relationship between the computing resources and the network resources. The resource allocation rule may be a matching rule for self-defining setting, and during the process of setting the matching rule by the user, the parameter which can be self-defined set may include, for example, a cloud type, a resource hierarchy code, a resource service code, a matching resource service hierarchy, a matching resource service code, a matching rule (equal or inclusive), and the like. For example, one resource allocation rule between an application resource and a computing resource may be: the service type service field of the deployment unit level in the deployment unit level under a certain cloud platform (application resource) is equal to the service type service field of the resource pool level in a certain resource pool level under a certain computing resource, so that the computing resource can be allocated to the application resource.

According to an embodiment of the present disclosure, determining a resource allocation result associated with a target business system according to the resource configuration information and the resource allocation rule includes:

according to the hierarchical matching relationship between the application resources and the computing resources and the business attribute matching relationship, matching and checking a target application resource attribute value in a target application resource layer in the application resources and a target computing resource attribute value in a target computing resource layer in the computing resources; and determining a computing resource distribution result associated with the target business system under the condition that the target application resource attribute value is matched with the target computing resource attribute value.

The above operation may be, for example, to implement automatic resource allocation during resource allocation according to the application system and the deployment unit selected by the user in the application resource application information. The method specifically comprises the following steps:

firstly, inquiring a resource allocation rule, and sequencing according to the cloud type and the resource hierarchy.

And traversing the rule table, inquiring the application resource level codes and the application resource level business codes, and determining the calculation resource level codes and the calculation resource level business codes which are associated with the application resource level codes and the application resource level business codes according to the resource allocation rule.

And then, traversing the computing resource management level according to the computing resource level information matched by inquiry, and verifying according to a matching rule, namely distributing the computing resources under the computing resource level under the condition that the service value corresponding to the application resource service attribute is matched with the service value corresponding to the computing resource service attribute.

According to an embodiment of the present disclosure, determining a resource allocation result associated with the target service system according to the resource allocation information and the resource allocation rule further includes:

matching and checking the target computing resource attribute value and a target network resource attribute value in a target network resource layer in the network resources according to the computing resource allocation result, the hierarchy matching relationship between the computing resources and the network resources and the service attribute matching relationship; and determining a network resource allocation result associated with the target business system under the condition that the target computing resource attribute value is matched with the target network resource attribute value.

The above operation may be, for example, after the foregoing operation allocates the number computing resource under the computing resource hierarchy, first traverse the rule table, and query the computing resource hierarchy code, the computing resource hierarchy service code, and the network resource hierarchy code and the matching network resource hierarchy service code associated therewith, which are determined according to the resource allocation rule.

And traversing the network resource management hierarchy according to the information of the matched network hierarchy, and verifying according to a matching rule, namely distributing the network resources under the network resource hierarchy under the condition that the service value corresponding to the resource service attribute is calculated and matched with the service value corresponding to the network resource service attribute.

According to the embodiment of the disclosure, by utilizing the resource allocation rules (the hierarchy matching relationship and the business attribute matching relationship), combining the resource configuration information and in a user-defined mode, on the premise of shielding the difference of business parameters and version upgrading of different cloud platforms, the resources under different types of resources are automatically matched, and the automatic allocation of the resources is realized according to the user-defined allocation mode, so that the cloud resources and the multi-cloud adaptation can be flexibly managed.

According to an embodiment of the present disclosure, in the resource invoking method, the method for invoking the target cloud resource according to the resource allocation result may include:

According to the embodiment of the present disclosure, the interface calling manner associated with the resource allocation result may be obtained, for example, by using a cloud plug-in to call a plurality of interfaces in the plug-in a service orchestration manner according to the resource allocation result, that is, according to the allocation result of the computing resource and the network resource allocated to the application resource, and orchestrating a resource execution process into a plurality of service orchestrations (automated execution flows), that is, generating a plurality of interface calling manners associated with the resource allocation result. And calling a target interface of the target cloud platform according to the interface calling mode, namely calling each current interface of the current execution cloud platform by calling each basic operation of the cloud plug-in respectively according to the operation calling mode in the service arrangement by the API flow node, and completing the calling of the cloud resources.

According to the embodiment of the disclosure, the target interface of the target cloud platform is called in the interface calling mode associated with the resource allocation result, so that the automatic calling of the target cloud resource can be realized, meanwhile, the user-defined calling of the calling process can be realized in the service arrangement mode according to the resource allocation result, various types of cloud resources can be compatibly managed, and the method has good universality and adaptability.

According to an embodiment of the present disclosure, in the resource calling method, calling the target interface of the target cloud platform according to the interface calling mode includes:

firstly, generating a cloud operation request by using a plug-in layer according to an interface calling mode;

and then, calling a target interface of the target cloud platform by using the adaptation layer according to the cloud operation request. The method specifically comprises the following steps:

FIG. 4 is a system diagram schematically illustrating a resource invocation method according to an embodiment of the present disclosure. The resource calling method according to the embodiment of the present disclosure is described below with reference to fig. 4.

According to the embodiment of the disclosure, the service layer is configured to determine resource configuration information and resource allocation rules associated with the target service system, that is, resource management level information in a resource model under a plurality of preset types of resources (application resources, computing resources, network resources) associated with the target service system and service attribute information in each resource management level are configured according to user definition. For a specific configuration method, reference may be made to the operation related to setting the resource configuration information in the embodiment of the present disclosure, which is not described herein again. The service layer is also used for determining a resource allocation result associated with the target service system according to the resource allocation information and the resource allocation rule.

According to the embodiment of the disclosure, the adaptation layer is mainly used for configuring the multi-cloud API interface according to user definition and setting the request message analysis rule and the response message analysis rule.

For example, interface names (interface name rules: cloud type _ cloud resource _ operation), operation types (including addition, deletion, modification, query details, query lists and the like), execution types, execution methods, cloud API interfaces, request message parsing rules and return message parsing rules can be set according to the user definition.

The encoding rule of the interface name may be: cloud type encoding _ cloud resource encoding _ operation encoding, wherein the operation encoding comprises: CREATE, DELETE, UPDATE, QUERY _ LIST, QUERY _ DETAIL.

The execution types may include: restful API, SDK.

The execution method can comprise the following steps: GET, POST, PUT, DELETE.

The cloud API interface is: a URL requested by the cloud platform API.

And the request message rule is a request message field conversion rule expression generated by user definition so as to call the calling program to match the interface request parameters according to the expression rule.

The return message rule is a return message analysis rule generated by user definition, and the return message can be converted into a service field by automatically loading the analysis rule through a return message BeansShell analysis program.

According to the embodiment of the disclosure, the universal resource management page component and the API component can be developed through the adaptation layer, the self-defined configuration can be realized according to different cloud types through the multi-cloud API interface and the self-defined page which are used for the self-defined configuration on the adaptation layer, and the customized development is not needed.

According to the embodiment of the disclosure, firstly, the resource allocation information and the resource allocation rule associated with the target service system are determined in the service layer, and the resource allocation result associated with the target service system is determined according to the resource allocation information and the resource allocation rule.

And then, acquiring an interface calling mode associated with the resource allocation result through a plug-in layer, namely calling service arrangement of the corresponding resource according to the allocated resource. The method comprises the steps of calling a plurality of interfaces in the plug-in by using the cloud plug-in a service arrangement mode, arranging a plurality of service arrangements (automatic execution flow) according to a resource execution process, calling corresponding service arrangements, calling an adaptation layer interface according to a cloud operation code by calling each basic operation of the cloud plug-in respectively according to the operation calling mode in the service arrangement, and carrying out service processing according to a returned service message.

And then, the adaptation layer is used for processing the plug-in layer cloud operation request and calling different cloud platform APIs. Specifically, the method comprises the following steps: 1. and analyzing the expression rule according to the request message, and converting the request parameter into an API request parameter. 2. And executing different service request types according to the execution type and the execution method, and calling each cloud platform interface URL. 3. And loading the BeansShell processing logic configured for the returned message, automatically analyzing the returned message of the cloud platform, and converting the message service field into the service field required by the plug-in layer.

Based on the resource calling method, the disclosure also provides a resource calling device. The apparatus will be described in detail below with reference to fig. 5.

Fig. 5 schematically shows a block diagram of a resource calling apparatus according to an embodiment of the present disclosure.

As shown in fig. 5, the resource invoking device 500 of this embodiment includes an obtaining module 501, a determining module 502 and an invoking module 503.

The acquiring module 501 is configured to acquire resource configuration information and resource allocation rules associated with a target service system;

a determining module 502, configured to determine a resource allocation result associated with the target service system according to the resource configuration information and the resource allocation rule;

the invoking module 503 is configured to invoke the target cloud resource according to the resource allocation result, so that the target service system executes the target service by using the target cloud resource.

According to the embodiment of the disclosure, the resource configuration information and the resource allocation rule acquired by the acquisition module 501 are according to the resource configuration relationship and the allocation rule set by the user, the resource allocation result associated with the target service system is determined according to the resource configuration information and the resource allocation rule by the determination module 502, the non-customized custom allocation and management of different cloud platform resources can be realized, the detailed management of the cloud platform resources is realized, the cloud platform resources are directly displayed for the user to select, the problems that the resources of a plurality of cloud platforms cannot be compatibly managed by customized products, management plug-ins need to be frequently developed and updated and the like are solved, and the purpose of shielding the difference between different cloud platforms and the difference between the versions of the cloud platforms is achieved.

According to the embodiment of the present disclosure, any plurality of the obtaining module 501, the determining module 502, and the invoking module 503 may be combined and implemented in one module, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the obtaining module 501, the determining module 502, and the invoking module 503 may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware by any other reasonable manner of integrating or packaging a circuit, or may be implemented in any one of or a suitable combination of software, hardware, and firmware. Alternatively, at least one of the obtaining module 501, the determining module 502 and the calling module 503 may be at least partly implemented as a computer program module, which when executed may perform a corresponding function.

As shown in fig. 6, an electronic device 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. Processor 601 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.

In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 602 and/or RAM 603. It is to be noted that the programs may also be stored in one or more memories other than the ROM 602 and RAM 603. The processor 601 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

Electronic device 600 may also include input/output (I/O) interface 605, input/output (I/O) interface 605 also connected to bus 604, according to an embodiment of the disclosure. The electronic device 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 902 and/or the RAM 903 described above and/or one or more memories other than the ROM 902 and the RAM 903.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the resource calling method provided by the embodiment of the disclosure.

The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 901. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, and downloaded and installed through the communication section 909 and/or installed from the removable medium 911. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 909, and/or installed from the removable medium 911. The computer program, when executed by the processor 901, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A method of resource invocation, comprising:

2. The method of claim 1, wherein:

the resource configuration information comprises resource management level information under a plurality of preset types of resources related to the target service system and service attribute information in each layer of resource management level, wherein the plurality of preset types of resources comprise application resources, computing resources and network resources;

the resource allocation rule is used for characterizing: a hierarchical matching relationship and a business attribute matching relationship between the application resource and the computing resource, and a hierarchical matching relationship and a business attribute matching relationship between the computing resource and the network resource.

3. The method of claim 2, wherein the determining a resource allocation result associated with the target business system according to the resource configuration information and the resource allocation rule comprises:

matching and checking a target application resource attribute value in a target application resource layer in the application resources with a target computing resource attribute value in a target computing resource layer in the computing resources according to the hierarchical matching relationship and the service attribute matching relationship between the application resources and the computing resources;

and determining a computing resource allocation result associated with the target business system under the condition that the target application resource attribute value is matched with the target computing resource attribute value.

4. The method of claim 3, wherein the determining a resource allocation result associated with the target business system according to the resource configuration information and the resource allocation rule further comprises:

according to the calculation resource distribution result, and the hierarchy matching relationship and the service attribute matching relationship between the calculation resource and the network resource, matching and checking the target calculation resource attribute value and a target network resource attribute value in a target network resource layer in the network resource;

and determining a network resource allocation result associated with the target business system under the condition that the target computing resource attribute value is matched with the target network resource attribute value.

5. The method of claim 1, wherein the invoking a target cloud resource according to the resource allocation result comprises:

acquiring an interface calling mode associated with the resource allocation result;

and calling a target interface of a target cloud platform according to the interface calling mode so as to realize the calling of the target cloud resources.

6. The method of claim 5, wherein the invoking of the target interface of the target cloud platform according to the interface invocation manner comprises:

generating a cloud operation request by utilizing a plug-in layer according to the interface calling mode;

and calling a target interface of the target cloud platform by utilizing an adaptation layer according to the cloud operation request.

7. The method of claim 6, wherein the invoking, with the adaptation layer, a target interface of the target cloud platform according to the cloud operation request comprises:

analyzing the cloud operation request by utilizing the adaptation layer according to a preset request message analysis rule so as to convert an original request parameter in the cloud operation request into a target request parameter and then send the target request parameter to a target interface of the target cloud platform;

and analyzing the response message from the target interface of the target cloud platform by using the adaptation layer according to a preset response message analysis rule so as to convert the original service field in the response message into a target service field.

8. A resource invocation apparatus, comprising:

a determining module, configured to determine a resource allocation result associated with the target service system according to the resource allocation information and the resource allocation rule;

9. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 7.

11. A computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of claims 1 to 7.