WO2023045552A1

WO2023045552A1 - Service deployment method, service deployment system, electronic device, and storage medium

Info

Publication number: WO2023045552A1
Application number: PCT/CN2022/108333
Authority: WO
Inventors: 施捷
Original assignee: 中兴通讯股份有限公司
Priority date: 2021-09-27
Filing date: 2022-07-27
Publication date: 2023-03-30
Also published as: CN115883310A

Abstract

A service deployment method, a service deployment system, an electronic device, and a storage medium. The service deployment method comprises: obtaining a service deployment type and a service deployment condition (S110); determining a plurality of candidate cloud platform service types according to the service deployment type (S120), the candidate cloud platform service types comprising candidate resource information; and determining, from the candidate cloud platform service types, a candidate cloud platform service type of which the candidate resource information satisfies the service deployment condition as a target cloud platform service type (S130).

Description

Service deployment method, service deployment system, electronic device and storage medium

Cross References to Related Applications

This application is based on a Chinese patent application with application number 202111136324.4 and a filing date of September 27, 2021, and claims the priority of this Chinese patent application. The entire content of this Chinese patent application is hereby incorporated by reference into this application.

technical field

The present application relates to the technical field of cloud platform service deployment, and in particular to a service deployment method, a service deployment system, electronic equipment, and a storage medium.

Background technique

At present, in order to meet the customized and differentiated service requirements of users, operators will simultaneously provide IAAS (Infrastructure as a Service), PAAS (Platform as a Service) and other types of cloud platform services on the cloud platform.

In some cases, according to service deployment requirements, users evaluate and screen multiple cloud platform service types through manual evaluation to select the target cloud platform service type. However, the above method not only requires a long evaluation implementation cycle, but also is prone to evaluation errors during the evaluation process, which will affect the service launch process.

Contents of the invention

Embodiments of the present application provide a service deployment method, a service deployment system, electronic equipment, and a storage medium.

In the first aspect, the embodiment of the present application provides a service deployment method, including: acquiring a service deployment type and a service deployment condition; determining a plurality of candidate cloud platform service types according to the service deployment type; wherein, the candidate cloud platform service The type includes candidate resource information; from the candidate cloud platform service types, it is determined that the candidate cloud platform service type whose candidate resource information meets the service deployment condition is the target cloud platform service type.

In the second aspect, the embodiment of the present application also provides a service deployment system, including: an acquisition module configured to acquire the service deployment type and service deployment conditions; a service deployment module configured to determine multiple candidate clouds according to the service deployment type Platform service type; wherein, the candidate cloud platform service type includes candidate resource information; and is configured to, from the candidate cloud platform service types, determine the candidate cloud platform whose candidate resource information meets the service deployment condition The service type is the target cloud platform service type.

In a third aspect, the embodiment of the present application further provides an electronic device, including: at least one processor; at least one memory configured to store at least one program; when the at least one program is executed by the at least one processor, The at least one processor is made to implement the service deployment method as described in the first aspect.

In a fourth aspect, the embodiment of the present application also provides a computer-readable storage medium, which stores processor-executable instructions, wherein the processor-executable instructions are used to implement the following when executed by a processor: The service deployment method described in the second aspect.

Description of drawings

FIG. 1 is a schematic flow chart of a service deployment method provided by an embodiment of the present application;

FIG. 2 is a schematic flowchart of a service deployment method provided by another embodiment of the present application;

FIG. 3 is a schematic flowchart of a service deployment method provided by another embodiment of the present application;

FIG. 4 is a schematic flowchart of a service deployment method provided by another embodiment of the present application;

FIG. 5 is a schematic structural diagram of a service deployment system provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of the workflow of the service deployment system provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of the workflow of the service deployment system provided by another embodiment of the present application;

FIG. 8 is a schematic diagram of a hardware structure of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application. In the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, it can be executed in a different order than the module division in the device or the flowchart in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification and claims and the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence.

Before the present application is further described in detail, the nouns and terms involved in the embodiments of the present application are described, and the nouns and terms involved in the embodiments of the present application are applicable to the following explanations.

Cloud platform, also known as cloud computing management system, refers to a one-stop service that realizes the full service cycle by building IAAS (Infrastructure as a Service), PAAS (Platform as a Service) and SAAS (Software as a Service), forming a multi-level , All-round cloud computing management system.

Among them, IAAS (Infrastructure as a Service) means that users can obtain services from a complete computer infrastructure through the network; PAAS (Platform as a Service) means that the software development platform is used as a service and submitted to users in the SAAS mode; SAAS (Software as a Service) refers to the mode of providing software through the network. Users do not need to purchase software, but can rent web-based software from the provider to manage the business activities of cloud enterprises.

NFV (Network Function Virtualization) is a network structure concept using virtualization technology to virtualize an entire category of network node functions to build communication services that can be connected or linked together.

In some cases, in order to realize the service deployment operation of the service to be deployed, on the one hand, it is necessary to consider the service deployment requirements of the service to be deployed, and on the other hand, it is necessary to evaluate the capabilities and resource usage of different cloud platform service types on the cloud platform, in order to Obtain the optimal cloud platform service type suitable for the service to be deployed. For example, if a region needs to complete the service deployment of a third-party vendor, it is usually necessary to manually confirm the following:

1. The operation and maintenance method of service deployment, and the adaptation of related platforms;

2. The infrastructure requirements of the services to be deployed, and the support capabilities of related platforms;

3. The existing remaining resources of the relevant platform, whether it can support the service deployment operation of the service to be deployed, and whether manual expansion or other processing is required.

After the operation and maintenance personnel obtain the above information, they calculate and evaluate the overall planning of service deployment, utilization rate and other factors, and finally determine the service deployment platform and method (that is, determine the cloud platform service type). However, the above evaluation process requires a long evaluation cycle, and human evaluation errors are prone to occur during the evaluation process, which will affect the service launch process.

Based on this, the embodiment of the present application proposes a service deployment method, a service deployment system, an electronic device, and a storage medium, which can be based on the service deployment type and service deployment conditions, as well as the resource conditions of various cloud platform service types provided by the cloud platform , calculate the cloud platform service type that is suitable for the service to be deployed, thereby avoiding the risk of error in manual evaluation, and thus speeding up the service launch process to a certain extent.

Referring to Figure 1, the embodiment of the present application provides a service deployment method, the service deployment method includes steps:

S110. Obtain a service deployment type and a service deployment condition;

S120. Determine multiple candidate cloud platform service types according to the service deployment type;

S130. From the candidate cloud platform service types, determine that the candidate cloud platform service type whose candidate resource information meets the service deployment condition is the target cloud platform service type.

Obtain the service deployment requirement model imported by the user through interface design or communication transmission methods such as ports, and trigger the service deployment strategy generation step according to the service deployment requirement model, so as to obtain the service deployment requirement model that matches the service deployment requirement model according to the service deployment strategy generation step Cloud platform service type, and then perform service deployment operations on the adapted cloud platform service type according to the service deployment requirement model. Above, the cloud platform service type adaptation process of the service to be deployed is completed, as well as the service deployment operation when the service goes online.

In some embodiments, the step of generating a service deployment policy includes: parsing the service deployment requirement model to obtain the service deployment type and service deployment conditions. Wherein, the service deployment type indicates the cloud platform service type supported by the service to be deployed; the service deployment condition indicates the filter condition correspondingly generated according to the service deployment requirements of the service to be deployed. The undetermined cloud platform service types provided by the cloud platform are screened according to the service deployment type to obtain multiple candidate cloud platform service types. Wherein, the candidate cloud platform service type includes candidate resource information. According to the service deployment conditions, the candidate resource information corresponding to multiple candidate types is screened to obtain the candidate cloud platform service types that meet the service deployment conditions, and the selected candidate cloud platform service types are marked as the target cloud platform service types, so that Perform a service deployment operation on the service to be deployed according to the service type of the target cloud platform.

In the above-mentioned embodiments of the present application, the target cloud platform service type suitable for the service to be deployed is selected from the multiple undetermined cloud platform service types provided by the cloud platform according to the service deployment type and service deployment conditions, so that the target cloud platform service type can be selected according to the The service type of the target cloud platform performs a service deployment operation on the service to be deployed. Therefore, the above-mentioned embodiments of the present application can realize the rapid deployment of the service to be deployed, and avoid the risk of manual evaluation errors, thereby speeding up the process of launching the service to a certain extent.

Referring to Fig. 2, in some embodiments, step S110 includes sub-steps:

S210. Obtain multiple undetermined cloud platform service types;

S220. Perform a matching operation on the service deployment type and multiple undetermined cloud platform service types, and determine multiple candidate cloud platform service types matching the service deployment type among the multiple undetermined cloud platform service types.

The service deployment type is parsed from the service deployment requirement model, that is, the cloud platform service type supported by the service to be deployed is parsed. Obtain multiple pending cloud platform service types in the connected platform, and filter multiple pending cloud platform service types according to the service deployment type to filter out the pending cloud platform service types that match the service deployment type, and filter out The undetermined cloud platform service type of is marked as the candidate cloud platform service type. It can be understood that "matching" in this embodiment of the present application means that the service provided by the selected candidate cloud platform service type is the same as the service represented by the service deployment type, and/or means that the selected candidate cloud platform service type The scope of the service provided is greater than that indicated by the service deployment type.

After the candidate cloud platform service types are screened out according to the above-mentioned embodiment, performance screening needs to be performed according to the service deployment requirements of the service to be deployed, so as to screen out infrastructure, existing remaining resources, and other eligible services from multiple candidate cloud platform service types Deploy the required candidate cloud platform service type, and mark the selected candidate cloud platform service type as the target cloud platform service type, and then perform service deployment operations on the service to be deployed according to the target cloud platform service type. In the following, the screening of candidate cloud platform service types will be described in detail in combination with the features of the above-mentioned embodiments.

In some embodiments, the service deployment condition includes a capacity requirement condition, wherein the capacity requirement condition includes at least one of virtual machine resources, port resources, network bandwidth resources, disk resources, or image resources not less than a preset requirement resource threshold .

In some embodiments, step S130 includes a sub-step: from the candidate cloud platform service types, determine the candidate cloud platform service type whose resource information meets the capacity requirement condition as the target cloud platform service type. The service deployment condition indicates the filter condition correspondingly generated according to the service deployment requirement of the service to be deployed, that is, the service deployment requirement includes the capacity deployment requirement, and the capacity deployment requirement includes at least A sort of. According to the different types of candidate cloud platform services, obtain candidate resource information corresponding to the above service deployment requirements, for example: for IAAS (Infrastructure as a Service), the obtained candidate resource information includes virtual machine information, port information, network bandwidth information, disk Information and mirroring information, etc.; for CAAS (communication as a service), the obtained candidate resource information Boakai mirroring information, etc. The candidate resource information of different candidate cloud platform service types is judged to be consistent with the service deployment conditions, and the candidate cloud platform service types that can support the deployment requirements of the service capacity to be deployed are selected, and the selected candidate cloud platform service types are calibrated It is the target cloud platform service type.

Referring to FIG. 3 , in some other embodiments, the service deployment conditions include operating environment conditions and capacity requirement conditions. Step S130 includes sub-steps:

S310. From the candidate cloud platform service types, determine that the candidate cloud platform service types whose candidate resource information meets the operating environment conditions are the calibration cloud platform service types;

S320. From the calibration cloud platform service types, determine that the calibration cloud platform service type whose calibration resource information meets the capacity demand condition is the target cloud platform service type.

Wherein, the operating environment condition is that at least one of the service reliability index, service importance index, resource sharing level or resource isolation index is not lower than the preset operating environment threshold.

The service deployment condition indicates the filtering condition correspondingly generated according to the service deployment requirement of the service to be deployed, that is, the service deployment requirement includes the operating environment deployment requirement and the capacity deployment requirement. Operating environment deployment requirements include at least one of service reliability indicators, service importance indicators, resource sharing levels, or resource isolation indicators; capacity deployment requirements include virtual machine resources, port resources, network bandwidth resources, disk resources, or mirror resources. at least one. Obtain candidate resource information corresponding to the above-mentioned operating environment deployment requirements, so as to filter out the calibrated cloud platform service type from multiple candidate cloud platform service types.

Among them, the service reliability index represents the evaluation index generated according to the data jitter and request packet loss of the candidate cloud platform service type; the service importance index represents the server level to which the candidate cloud platform service type belongs, and the level of the computer room to which the server belongs (including core computer room and basic computer room, etc.), server location (including core location and basic location, etc.), server maintainability and other evaluation indicators generated; resource sharing level indicates the sharing attribute according to the candidate cloud platform service type (including Shareable and non-shareable) and other evaluation indicators generated; resource isolation indicators represent the evaluation indicators generated according to the exclusivity of candidate cloud platform service types, physical nodes, container nodes, etc. Among them, the above-mentioned evaluation indicators can include first-level, second-level, third-level, etc., and the higher the level, the more reliable, important, non-sharable and isolated the better.

Taking the e-commerce field as an example, the services to be deployed include payment services and product display services. Among them, the core of the payment service is the security of payment and the reliability of payment data, that is, the payment service pays more attention to the monitoring, backup, disaster recovery and other functions of the candidate cloud platform service type. The core of product display service is the stability of product display, that is, product display service pays more attention to data jitter and data packet loss of candidate cloud platform service types. Therefore, when the service to be deployed is a payment service, it is necessary to select the calibrated cloud platform service type with a higher service importance index from multiple candidate deployment types, that is, the service importance index should be selected to be greater than or equal to three levels, and the remaining indicators should be selected. (including service reliability indicators, resource sharing level indicators, and resource isolation indicators) are calibrated cloud platform service types that are less than three levels or not limited. When the service to be deployed is a commodity display service, it is necessary to select the calibrated cloud platform service type with a higher service reliability index from multiple candidate deployment types, that is, the service reliability index should be selected to be greater than or equal to three levels, and the remaining indicators ( Including service importance indicators, resource sharing level indicators, and resource isolation indicators) are less than three levels or unrestricted calibrated cloud platform service types.

Secondly, for different service deployment requirements, when the service to be deployed needs to monopolize the server, a higher operating environment threshold should be set for the resource sharing level and resource isolation index of the candidate cloud platform service type. Select the calibrated cloud platform service type whose resource sharing level and resource isolation index are greater than or equal to level three. It can be understood that the specific content of the operating environment conditions and capacity requirement conditions described in the above embodiments, as well as the specific content of the enumerated service reliability indicators, service importance indicators, resource sharing levels, and resource isolation indicators are only examples However, this embodiment of the present application does not specifically limit it.

According to the above description, select the calibrated cloud platform service type that meets the conditions such as service performance, resources, and infrastructure to be deployed from multiple candidate cloud platform service types. Then, the target cloud platform service type is selected from multiple calibrated cloud platform service types according to the capacity requirement conditions, so that the service deployment operation is performed on the service to be deployed according to the target cloud platform service type. It can be understood that the manner of screening out target cloud platform service types from multiple calibrated cloud platform service types according to capacity requirement conditions is the same as that of screening target cloud platform service types from multiple candidate deployment types according to capacity requirement conditions in the above embodiment The types and methods are basically the same, so the embodiment of this application will not repeat them.

Referring to FIG. 4, in some embodiments, the service deployment method further includes the steps of:

S410. Determine the number of target cloud platform service types;

S420. If the number of service types of the target cloud platform is greater than the preset threshold, filter the service types of the target cloud platform to obtain the service types of the operation cloud platform.

When the number of target cloud platform service types screened out according to the above-mentioned embodiment includes a plurality, a target cloud platform service type is screened out from a plurality of target cloud platform service types according to strategies such as preset priority (that is, the preset threshold Set to 1), and the filtered target cloud platform service type is marked as the operation cloud platform service type. The service type of the operation cloud platform and the corresponding operation resource information are sent to the user through the interface, port, etc., thereby realizing the pre-operation of the service deployment operation, that is, only pre-judging which kind of undetermined cloud platform the service to be deployed will be deployed to Cloud platform service type, no final service deployment operation is performed.

In some embodiments, the service deployment method further includes the step of: sending an instantiation request including an operation cloud platform service type to the virtual network function management module, so that the virtual network function management module performs service deployment operations according to the instantiation request.

It should be noted that the service deployment method provided by the embodiment of the present application is a deployment mechanism based on the NFV structure, that is, the deployment mechanism of the embodiment of the present application is established on NFVO (life cycle management unit or life cycle management module), VNFM (virtual network Function management module) already has the ability to manage resources for different types of cloud platform services. Therefore, after the pre-operation result (that is, the operation cloud platform service type) is returned to the user according to the above embodiment, the actual service deployment operation can also be performed. That is, an instantiation request is sent to the virtual network function management module, wherein the instantiation request carries the service deployment requirements described in the above embodiments and the selected operation cloud platform service type, so that the virtual network function management module can deploy the service according to the service deployment requirements Perform service deployment operations on the corresponding operation cloud platform service types on the cloud platform.

Hereinafter, the combination of the service deployment method provided by the embodiment of the present application and the NFV structure will be described in detail.

Referring to FIG. 5 , an embodiment of the present application provides a service deployment system. The service deployment system includes an acquisition module 510 and a service deployment module 520 . The obtaining module 510 is configured to obtain service deployment type and service deployment condition. The service deployment module 520 is configured to determine a plurality of candidate cloud platform service types according to the service deployment type; wherein, the candidate cloud platform service types include candidate resource information; the service deployment module 520 is also configured to determine candidate cloud platform service types from the candidate cloud platform service types The candidate cloud platform service type whose resource information meets the service deployment conditions is the target cloud platform service type.

Referring to Figures 5 and 6, in some embodiments, the acquisition module 510 acquires the service deployment requirement module imported by the user through interface design or communication transmission methods such as ports, and the service deployment module 520 triggers the service deployment strategy according to the service deployment requirement model Generation step, so as to obtain the cloud platform service type adapted to the service deployment requirement model according to the service deployment strategy generation step, and then perform service deployment operations on the adapted cloud platform service type according to the service deployment requirement model. Above, the cloud platform service type adaptation process of the service to be deployed is completed, as well as the service deployment operation when the service goes online.

The step of generating the service deployment strategy includes: the service deployment module 520 analyzes the service deployment requirement model to obtain the service deployment type and service deployment conditions. Wherein, the service deployment type indicates the cloud platform service type supported by the service to be deployed; the service deployment condition indicates the filter condition correspondingly generated according to the service deployment requirements of the service to be deployed. The undetermined cloud platform service types provided by the cloud platform are screened according to the service deployment type to obtain multiple candidate cloud platform service types. Wherein, the candidate cloud platform service type includes candidate resource information. According to the service deployment conditions, the candidate resource information corresponding to multiple candidate types is screened to obtain the candidate cloud platform service types that meet the service deployment conditions, and the selected candidate cloud platform service types are marked as the target cloud platform service types, so that Perform a service deployment operation on the service to be deployed according to the service type of the target cloud platform.

In some embodiments, NFVO can be deployed integrated with the service deployment module (as shown in FIG. 6 ), or NFVO and the service deployment module can be deployed independently (as shown in FIG. 7 ). In the following, the acquisition module, the service deployment module, and other modules of the service deployment system will be specifically described for these two embodiments and in combination with the service deployment method described in the above embodiments. It can be understood that, in addition to integrating with NFVO, the service deployment module can also be integrated with other systems such as OSS (service provider's management function).

Referring to FIG. 6 , in some embodiments, the acquisition module includes a type acquisition unit, a capacity requirement acquisition unit, or includes a type acquisition unit, a capacity requirement acquisition unit, and an operating environment acquisition unit. When the NFVO is integrated with the service deployment module, the service deployment module includes a deployment type confirmation unit and a lifecycle management unit (ie, NFVO). Among them, the type obtaining unit is configured to obtain the service deployment type imported or designed by the user, the capacity requirement obtaining unit is configured to obtain the capacity requirement condition imported or designed by the user, and the operating environment obtaining unit is configured to obtain the operating environment imported or designed by the user condition. The deployment confirmation unit is configured to obtain multiple undetermined cloud platform service types that have been connected to the platform, and is configured to match the service deployment type parsed from the service deployment requirement model with the multiple undetermined cloud platform service types to A plurality of candidate cloud platform service types matching the service deployment type are determined among the plurality of undetermined cloud platform service types.

Then, the deployment type confirming unit obtains candidate resource information, and compares the candidate resource information with the capacity requirement condition, so as to obtain a target cloud platform service type that meets the capacity requirement condition from multiple candidate cloud platform service types. Or, when the acquisition module includes an operating environment acquisition unit, first compare the candidate resource information with the operating environment conditions, obtain the calibration cloud platform service type that meets the operating environment conditions from multiple candidate cloud platform service types, and then calibrate the cloud platform The calibration resource information of the service type is compared with the capacity requirement conditions to obtain the service type of the target cloud platform. When the selected target cloud platform service types include multiple ones, the deployment type confirmation unit is further configured to select an operational cloud platform service type from the multiple target cloud platform service types according to preset policies such as priority. Send the operation cloud platform service type back to the interface or port, and further send it back to the user, so as to complete a pre-operation, that is, only pre-judge which pending cloud platform service type in the cloud platform the service to be deployed will be deployed to, and not Perform final service deployment operations. When the service deployment operation needs to be performed, the life cycle management unit sends an instantiation request to the VNFM. The instantiation request carries the service type of the operating cloud platform and the service deployment requirements corresponding to the services to be deployed, so that the VNFM can deploy the cloud platform according to the service deployment requirements. The corresponding operation cloud platform service type in the service deployment operation. It can be understood that the comparison method of operating environment conditions and capacity requirement conditions is basically the same as the description of the service deployment method above, and will not be repeated here.

Referring to Fig. 7, the difference from the above embodiment is that when NFVO and the service deployment module are independently deployed, the service deployment module includes a deployment type confirmation unit, and the service deployment system also includes NFVO (life cycle management module) and VNFM (virtual network function management module). NFVO sends an instantiation request including the service deployment requirement model to the service deployment module, so that the deployment type confirmation unit parses the service deployment type and service deployment condition from the service deployment requirement model, and obtains the operation according to the service deployment method described in the above embodiment Cloud platform service type. The NFVO is also configured to send an instantiation request including the operation cloud platform service type and service deployment requirements to the VNFM, so that the VNFM performs service deployment operations on the corresponding operation cloud platform service types in the cloud platform according to the service deployment requirements.

Referring to Figure 8, an embodiment of the present application provides an electronic device, the electronic device includes:

The processor 801 can be implemented by a general-purpose CPU (central processing unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is configured to execute related programs to implement the implementation of the present application. The technical solution provided by the example;

The memory 802 may be implemented in the form of a ROM (read only memory), a static storage device, a dynamic storage device, or a RAM (random access memory). The memory 802 can store operating systems and other application programs. When implementing the technical solutions provided by the embodiments of the present application through software or firmware, the relevant program codes are stored in the memory 802 and called by the processor 801 to execute the implementation of the present application. example service deployment method;

The input/output interface 803 is configured to realize information input and output;

The communication interface 804 is configured to realize the communication interaction between the device and other devices, and the communication can be realized through a wired method (such as USB, network cable, etc.), or can be realized through a wireless method (such as a mobile network, Wi-Fi, Bluetooth, etc.) ;and

A bus 805, which transmits information between various components of the device (such as a processor 801, a memory 802, an input/output interface 803, and a communication interface 804);

The processor 801 , the memory 802 , the input/output interface 803 and the communication interface 804 are connected to each other within the device through the bus 805 .

The embodiment of the present application also provides a storage medium, the storage medium is a computer-readable storage medium, and the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to cause a computer to execute the above service deployment method.

As a non-transitory computer-readable storage medium, memory can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory may include memory located remotely from the processor, which remote memory may be connected to the processor through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The service deployment method, service deployment system, electronic device, and storage medium provided in the embodiments of the present application select and select the services to be deployed from the multiple undetermined cloud platform service types provided by the cloud platform according to the service deployment type and service deployment conditions. The matching target cloud platform service type, so that the service deployment operation can be performed on the service to be deployed according to the target cloud platform service type. Therefore, according to the above-mentioned embodiment, the present application can realize the rapid deployment of the service to be deployed, and avoid the risk of manual evaluation errors, thereby speeding up the process of launching the service to a certain extent.

The embodiments described in the embodiments of the present application are to illustrate the technical solutions of the embodiments of the present application more clearly, and do not constitute a limitation to the technical solutions provided by the embodiments of the present application. Those skilled in the art know that with the evolution of technology and new For the emergence of application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

The above describes several embodiments of the embodiments of the present application with reference to the accompanying drawings, which is not intended to limit the scope of rights of the embodiments of the present application. Any modifications, equivalent replacements and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of the present disclosure shall fall within the scope of rights of the embodiments of the present disclosure.

Claims

Service deployment methods, including:

Obtain the service deployment type and service deployment conditions;

Determine multiple candidate cloud platform service types according to the service deployment type; wherein, the candidate cloud platform service types include candidate resource information;

From the candidate cloud platform service types, it is determined that the candidate cloud platform service types whose resource information meets the service deployment condition are target cloud platform service types.
The service deployment method according to claim 1, wherein said determining a plurality of candidate cloud platform service types according to the service deployment type includes:

Obtain multiple pending cloud platform service types;

Matching the service deployment type with the plurality of undetermined cloud platform service types, and determining a plurality of candidate cloud platform service types matching the service deployment type among the plurality of undetermined cloud platform service types .
The service deployment method according to claim 2, wherein the service deployment conditions include capacity requirement conditions;

Wherein, the capacity demand condition is that at least one of virtual machine resources, port resources, network bandwidth resources, disk resources or image resources is not less than a preset demand resource threshold.
The service deployment method according to claim 3, wherein the service deployment conditions further include operating environment conditions;

From the candidate cloud platform service types, determining that the candidate cloud platform service type whose resource information meets the service deployment condition is the target cloud platform service type includes:

From the candidate cloud platform service types, it is determined that the candidate cloud platform service type whose resource information meets the operating environment conditions is a marked cloud platform service type; wherein, the marked cloud platform service type includes marked resource information ;

From the calibrated cloud platform service types, determine that the calibrated cloud platform service types whose calibrated resource information meets the capacity requirement conditions are the target cloud platform service types;

Wherein, the operating environment condition is that at least one of the service reliability index, service importance index, resource sharing level or resource isolation index is not lower than the preset operating environment threshold.
The service deployment method according to any one of claims 1 to 4, wherein the service deployment method further comprises:

Determine the quantity of the target cloud platform service type;

If the number of target cloud platform service types is greater than a preset threshold, the target cloud platform service types are screened to obtain an operation cloud platform service type; wherein the operation cloud platform service type is used for service deployment operations.
The service deployment method according to claim 5, wherein the service deployment method further comprises:

Sending an instantiation request including the service type of the operation cloud platform to the virtual network function management module, so that the virtual network function management module performs a service deployment operation according to the instantiation request.
Service deployment system, including:

An acquisition module configured to acquire service deployment types and service deployment conditions;

The service deployment module is configured to determine a plurality of candidate cloud platform service types according to the service deployment type; wherein, the candidate cloud platform service types include candidate resource information; and is configured to determine the candidate cloud platform service types from the candidate cloud platform service types The candidate cloud platform service type whose candidate resource information meets the service deployment condition is the target cloud platform service type.
The service deployment system according to claim 7, wherein the acquisition module comprises: a type acquisition unit configured to acquire the service deployment type;

The service deployment module includes: a deployment type confirmation unit configured to obtain multiple undetermined cloud platform service types; and configured to match the service deployment type with the multiple undetermined cloud platform service types. Determine a plurality of candidate cloud platform service types that match the service deployment type among the plurality of undetermined cloud platform service types.
The service deployment system according to claim 8, wherein the service deployment conditions include capacity requirement conditions;

The acquisition module further includes: a capacity requirement acquisition unit configured to acquire the capacity requirement condition; wherein the capacity requirement condition is a virtual machine resource, a port resource, a network bandwidth resource, a disk resource, a mirror resource or a container resource At least one of them is not less than the preset required resource threshold.
The service deployment system according to claim 9, wherein the service deployment conditions further include operating environment conditions;

The acquiring module further includes: an operating environment acquiring unit configured to acquire the operating environment condition; wherein the operating environment condition is at least one of a service reliability index, a service importance index, a resource sharing level, or a resource isolation index One that is not lower than a preset operating environment threshold.
The service deployment system according to any one of claims 8 to 10, wherein the service deployment module is further configured to determine the number of target cloud platform service types; if the number of target cloud platform service types is greater than a preset threshold , screening the target cloud platform service type to obtain the operation cloud platform service type; wherein the operation cloud platform service type is used for service deployment operations.
The service deployment system according to claim 11, wherein the service deployment module further comprises: a life cycle management unit configured to send an instantiation request including the service type of the operation cloud platform;

The service deployment system further includes: a virtual network function management module configured to perform a service deployment operation according to the instantiation request.
The service deployment system according to claim 11, wherein the service deployment system further comprises:

A life cycle management module configured to send an instantiation request including the service type of the operation cloud platform;

The virtual network function management module is configured to perform a service deployment operation according to the instantiation request.
Electronic equipment, including:

at least one processor;

at least one memory configured to store at least one program;

When the at least one program is executed by the at least one processor, the at least one processor implements the service deployment method according to any one of claims 1-6.
A computer-readable storage medium storing processor-executable instructions therein, wherein the processor-executable instructions are used to implement the service deployment method according to any one of claims 1 to 6 when executed by a processor .