CN116805914A

CN116805914A - Cloud service providing method and device based on public cloud technology

Info

Publication number: CN116805914A
Application number: CN202210260002.9A
Authority: CN
Inventors: 王思珂; 张广; 王宝林; 王聪维; 王昊玄; 周维华
Original assignee: Huawei Cloud Computing Technologies Co Ltd
Current assignee: Huawei Cloud Computing Technologies Co Ltd
Priority date: 2022-03-16
Filing date: 2022-03-16
Publication date: 2023-09-26
Also published as: WO2023174360A1

Abstract

The application provides a cloud service providing method and device based on public cloud technology, and relates to the field of cloud service. The method comprises the following steps: the cloud management platform provides a real-time fee deduction information selection interface for cloud services, wherein the cloud services are cloud services purchased by tenants on the cloud management platform, and the real-time fee deduction information selection interface is used for acquiring real-time fee deduction information display requirements of the cloud services; and the cloud management platform displays the real-time fee deduction information of the fees generated by the cloud service after the cloud service is started to the tenant according to the real-time fee deduction information display requirement. Based on the real-time fee deduction information selection interface, the cloud management platform can acquire the real-time fee deduction information display requirement of the cloud service, and further can display the real-time fee deduction information of the cloud service purchased by the tenant to the tenant, so that the tenant can know the real-time fee deduction information of the purchased cloud service in real time.

Description

Cloud service providing method and device based on public cloud technology

Technical Field

The present application relates to the field of cloud services, and in particular, to a method and an apparatus for providing cloud services based on public cloud technology.

Background

As cloud services evolve, more and more businesses migrate traffic to the cloud, and billing for cloud services is also becoming a focus in the cost of the enterprise's internet technology (internet technology, IT).

In the charging modes provided by most cloud manufacturers at present, the charging modes of the resources according to needs are all charged according to the hour, namely, metering data is counted once per hour, and charging is carried out once. In this billing mode, the tenant can only see the bill to know the specific deduction information after deduction, and cannot unbuckle the deduction information in real time.

Disclosure of Invention

The application provides a cloud service providing method and device based on public cloud technology, which are used for presenting real-time estimated deduction information of cloud service to tenants.

In a first aspect, the present application provides a cloud service providing method based on public cloud technology, where the method may be executed by a cloud management platform, or may also be executed by a component (such as a chip, a system on chip, etc.) configured in the cloud management platform, and the embodiment of the present application is not limited to this.

Illustratively, the method includes: the cloud management platform provides a real-time fee deduction information selection interface for cloud services, wherein the cloud services are cloud services purchased by tenants on the cloud management platform, and the real-time fee deduction information selection interface is used for acquiring real-time fee deduction information display requirements of the cloud services; and the cloud management platform displays the real-time fee deduction information of the fees generated by the cloud service after the cloud service is started to the tenant according to the real-time fee deduction information display requirement.

Based on the scheme, based on the real-time fee deduction information selection interface, the cloud management platform can acquire the real-time fee deduction information display requirement of the cloud service, and further can display the real-time fee deduction information of the cloud service purchased by the tenant to the tenant, so that the tenant can know the real-time fee deduction information of the purchased cloud service in real time.

With reference to the first aspect, in some possible implementations, determining the real-time deduction information includes: the cloud management platform acquires the metering dimension of the cloud service; the cloud management platform determines a first deduction information estimation model based on the metering dimension of the cloud service, wherein the first deduction information estimation model is a deduction information estimation model corresponding to the metering dimension of the cloud service in a plurality of predefined deduction information estimation models, each model in the plurality of deduction information estimation models corresponds to one metering dimension, and each model is used for estimating real-time deduction information of the cloud service based on the corresponding metering dimension; and the cloud management platform predicts the real-time fee deduction information of the cloud service through the first fee deduction information prediction model.

In the scheme, various deduction information prediction models corresponding to different metering dimensions are predefined, and the original data acquired from public cloud is analyzed through the first deduction information prediction model corresponding to the metering dimensions of cloud service, and because the original data comprise data related to cloud service, the real-time deduction information of the cloud service can be predicted, so that tenants can conveniently know the real-time deduction information of the cloud service in real time.

With reference to the first aspect, in some possible implementations, the metering dimension includes: duration, size, number of times, bandwidth, or traffic; the method comprises the steps of using a cloud service, wherein the duration represents the accumulated duration of using the same cloud service, the size represents the size of the used cloud service, the times represent the times of using the same cloud service, the bandwidth represents the bandwidth of the used cloud service, and the flow represents the flow generated by using the cloud service.

The real-time deduction information of the cloud services with different metering dimensions can be estimated, and the cloud service deduction method has good universality.

With reference to the first aspect, in some possible implementations, the real-time deduction information includes a real-time deduction rate and/or a real-time deduction amount, where the real-time deduction rate is an estimated per-second deduction amount, and the real-time deduction amount is an estimated current accumulated deduction amount.

The tenant may have resolved the real-time deduction rate and/or the real-time deduction amount of the cloud service used in real-time.

With reference to the first aspect, in some possible implementations, the estimating, by the cloud management platform through the first fee deduction information estimation model, real-time fee deduction information of the cloud service includes: the cloud management platform determines real-time fee deduction information of the cloud service based on a metering result of the cloud service through a first fee deduction information prediction model, and the metering result is obtained by counting the service condition of the cloud service based on metering dimensions.

Optionally, the metering dimension is a duration or a size, and the determining, by the first fee deduction information prediction model, the real-time fee deduction information of the cloud service based on the metering result of the cloud service includes: determining a pricing mode corresponding to the metering dimension of the cloud service through a first pricing information pre-estimation model; and the cloud management platform determines real-time fee deduction information of the cloud service based on the charging mode and the metering result of the cloud service through the first fee deduction information prediction model.

Optionally, the metering dimension is the number of times, the bandwidth or the flow, and the first deduction information estimation model is obtained through training according to historical deduction information.

With reference to the first aspect, in some possible implementations, the method further includes: and receiving an event notification aiming at the cloud service, wherein the event notification is used for indicating the change of the state of the cloud service, and comprises the type of an event, and the event is an event triggering the change of the state of the cloud service.

With reference to the first aspect, in some possible implementations, the method further includes: and under the condition that the event is determined to be the real-time deduction rate affecting the cloud service, updating the metering result of the cloud service.

Under the condition that the event is determined to influence the real-time deduction rate of the cloud service, the metering result of the cloud service is updated, and the real-time deduction amount of the cloud service is estimated again based on the updated metering result, so that the error of the estimated real-time deduction amount and the actual deduction amount is reduced.

With reference to the first aspect, in some possible implementations, the method further includes: taking a preset duration as a period, acquiring monitoring data of the cloud service, wherein the monitoring data comprise the metering dimension and a monitoring value, and the monitoring value is a use value of the cloud service acquired for the metering dimension in the current period; based on the monitoring data, real-time deduction information of the cloud service is adjusted.

And periodically adjusting the real-time deduction information of the cloud service according to the monitoring data of the cloud service so as to reduce the error between the estimated real-time deduction amount and the actual deduction amount.

With reference to the first aspect, in some possible implementations, the method further includes: and adjusting real-time deduction information of the cloud service based on the actual deduction amount, wherein the actual deduction amount is the accumulated deduction amount corresponding to the cloud service in the current deduction period.

And periodically adjusting the real-time deduction information of the cloud service according to the actual deduction amount to reduce the error between the estimated real-time deduction amount and the actual deduction amount.

In a second aspect, the present application provides a cloud service providing method based on public cloud technology, where the method may be performed by public cloud, or may also be performed by a component (such as a chip, a chip system, etc.) in public cloud, and the embodiment of the present application is not limited to this.

Illustratively, the method includes: the public cloud generates an event notification, wherein the event notification is used for indicating the change of the state of the cloud service, the event notification comprises the type of an event, and the event is an event triggering the change of the state of the cloud service; the public cloud sends event notifications.

Based on the scheme, the cloud management platform can timely know the state change of the cloud service through the event notification received from the public cloud, so that the real-time deduction information of the cloud service can be estimated better.

With reference to the first aspect or the second aspect, in some possible implementations, the types of events include: creating a cloud service event, deleting a cloud service event, a cloud service start event, a cloud service close event, a cloud service expansion event, and a cloud service contraction event.

Therefore, the state change of the cloud service can be known in time through event notification, so that the real-time fee deduction information of the cloud service can be estimated better.

In a third aspect, the present application provides a cloud service providing apparatus based on public cloud technology, where the apparatus may be used to implement the method in any one of the foregoing first aspect and any one of the possible implementation manners of the first aspect. The apparatus comprises corresponding modules for performing the methods described above. The modules included in the apparatus may be implemented in software and/or hardware.

In a fourth aspect, the present application provides a cloud service providing apparatus based on public cloud technology, where the apparatus includes a processor. The processor is coupled to the memory and is operable to execute a computer program in the memory to implement the method of the first aspect and any one of the possible implementations of the first aspect.

Optionally, the apparatus further comprises a memory.

Optionally, the apparatus further comprises a communication interface, the processor being coupled to the communication interface.

In a fifth aspect, the present application provides a cloud server, where the cloud server may be configured to implement the method in any one of the foregoing second aspect and any one of the possible implementation manners of the second aspect. The cloud server comprises corresponding modules for executing the method. The modules included in the cloud server can be realized in a software and/or hardware mode.

In a sixth aspect, the present application provides a cloud server, the cloud server including a processor. The processor is coupled to the memory and is operable to execute a computer program in the memory to implement the method of the second aspect and any one of the possible implementations of the second aspect.

Optionally, the cloud server further comprises a memory.

Optionally, the cloud server further includes a communication interface, and the processor is coupled to the communication interface.

In a seventh aspect, the present application provides a chip system comprising at least one processor for supporting the implementation of the functions involved in any one of the possible implementations of the first aspect and the first aspect, or for supporting the implementation of the functions involved in any one of the possible implementations of the second aspect and the second aspect, e.g. for obtaining or processing data and/or information involved in the method.

In one possible design, the system on a chip further includes a memory to hold program instructions and data, the memory being located either within the processor or external to the processor.

The chip system may be formed of a chip or may include a chip and other discrete devices.

In an eighth aspect, the present application provides a computer readable storage medium having stored thereon a computer program (which may also be referred to as code, or instructions) which, when executed by a processor, causes the method of any one of the first aspect and the possible implementation manner of the first aspect to be performed, or causes the method of any one of the second aspect and the possible implementation manner of the second aspect to be performed.

In a ninth aspect, the present application provides a computer program product comprising: a computer program (which may also be referred to as code, or instructions) which, when executed, causes the method of any one of the possible implementations of the first aspect and the first aspect to be performed, or causes the method of any one of the possible implementations of the second aspect and the second aspect to be performed.

It should be understood that, the third aspect to the ninth aspect of the present application correspond to the technical solutions of the first aspect and the second aspect of the present application, and the advantages obtained by each aspect and the corresponding possible embodiments are similar, and are not repeated.

Drawings

Fig. 1 is a schematic diagram of a communication system suitable for use with embodiments of the present application;

FIG. 2 is a schematic flow chart of a cloud service providing method based on public cloud technology provided by an embodiment of the application;

FIG. 3 is a schematic diagram of a system architecture suitable for use with embodiments of the present application;

FIG. 4 is a flowchart of determining real-time deduction information according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a cloud service creation page provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of a view real-time deduction information page provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of interaction between a cloud management platform and public cloud provided by an embodiment of the present application;

FIG. 8 is a further schematic flow chart of a cloud service providing method based on public cloud technology provided by an embodiment of the present application;

FIG. 9 is a schematic block diagram of a cloud service providing apparatus based on public cloud technology according to an embodiment of the present application;

fig. 10 is a schematic block diagram of an apparatus provided by an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c; a and b; a and c; b and c; or a and b and c. Wherein a, b and c can be single or multiple.

The terminology involved in the present application will be briefly described first.

1. Public cloud: typically, the third party provider provides a usable cloud for the tenant, and public cloud can be used through the internet. The core attribute of public clouds is shared resource services.

2. Cloud service: is an increase, usage, and interaction pattern of internet-based related services, and generally involves providing dynamically extensible and often virtualized resources through the internet. Cloud services may refer to obtaining a desired service over a network in an on-demand, scalable manner. Such services may be software and internet related services, as well as other services.

Cloud services may also be referred to as cloud service resources. In the embodiment of the application, the cloud service can refer to a cloud service purchased by a tenant on a public cloud under a public cloud scene.

The cloud service may be, for example, a virtual machine (also referred to as a cloud server), a container, a bare metal server, a firewall, a cloud disk, or the like.

3. Cloud management platform: the logical functions of the cloud management platform may be divided into tenant consoles, computing management services, network management services, storage management services, authentication services, mirror management services, and the like. The tenant console may provide a page or application program interface (application programming interface, API) to interact with the tenant; the computing management service is used for managing a server running the virtual machine and the container and the bare metal server, the network management service is used for managing network services (such as a gateway, a firewall and the like), the storage management service is used for managing storage services (such as a data bucket service), the authentication service is used for managing account passwords of tenants, and the mirror image management service is used for managing virtual machine mirrors.

The cloud management platform may provide an access interface (e.g., page or API) for clients to access the public cloud. The tenant can operate the client to remotely access the access interface, register the cloud account number on the cloud management platform, and log in the cloud management platform by inputting the cloud account number and the password. For example, after the cloud management platform successfully authenticates the cloud account number and the password, the tenant may further select and purchase a virtual machine with a specific specification (virtual processor, virtual memory, virtual disk) on the cloud management platform through the client, after the purchase is successful, the cloud management platform may provide a remote login account number and the password of the purchased virtual machine, and the tenant may remotely log in to the purchased virtual machine through the client, and install and run an application of the tenant in the virtual machine.

The cloud management platform is a control node for controlling a physical server running the virtual machine, and the server where the cloud management platform runs is connected with the physical server running the virtual machine so as to control the physical server to perform full life cycle management on the virtual machine.

With the development of cloud services, more and more enterprises migrate services to the cloud, and charging of the cloud services also becomes a focus in IT costs of the enterprises. Currently, charging modes provided by cloud vendors are basically consistent, and cloud services can be roughly divided into on-demand resources and packet periodic resources according to the charging modes. The charging mode of the packet periodic resource is fixed, and the on-demand resource is currently in a mode of firstly using and then deducting fees.

In the charging mode of on-demand resources provided by most cloud manufacturers at present, charging is performed according to the hour, that is, metering data is counted once per hour, and charging is performed once. In this billing mode, the tenant can only see the specific deduction item by looking at the bill after deducting the fee, for example, can see what cloud service is for the deduction amount of its metering dimension in this hour, but this billing mode cannot make the tenant have deduction information in real time, for example, the tenant cannot see in real time what cloud service is per second deduction rate and/or the change condition of the deduction amount accumulated every second.

In view of the above problems, the present application provides a cloud service providing method and apparatus based on public cloud technology, where a cloud management platform can display real-time fee deduction information of fees generated after a cloud service is started to a tenant by providing a real-time fee deduction information selection interface, so that the tenant can conveniently know the real-time fee deduction information of the used cloud service in real time.

Fig. 1 is a schematic diagram of a communication system suitable for use with embodiments of the present application.

As shown in fig. 1, the communication system shown in fig. 1 includes a cloud server 110 and a cloud management platform server 120. Public cloud is run on cloud server 110, and cloud management platform is run on cloud management platform server 120. Cloud server 110 and cloud management platform server 120 may be servers, or a cluster of servers, for example, or other devices that may be used to perform the same or similar functions. Communication may be performed between cloud server 110 and cloud management platform server 120. The public cloud on the cloud server 110 may provide cloud services for tenants, and the cloud management platform on the cloud management platform server 120 may provide interfaces for purchasing, logging in, configuring, and using the cloud services provided by the public cloud.

It should be noted that, in the embodiment of the present application, the steps executed by the cloud management platform may be understood as the steps executed by the cloud management platform server; the step performed by the public cloud may be understood as a step performed by the cloud server, and should not be limited in any way.

Fig. 2 is a schematic flowchart of a cloud service providing method based on public cloud technology according to an embodiment of the present application.

As shown in fig. 2, the cloud service providing method 200 based on public cloud technology may include steps 210 and 220. The method 200 may be performed by a cloud management platform server, or may be performed by a component (such as a chip, a system on a chip, etc.) configured in the cloud management platform server, which is not limited by the embodiment of the present application. Step 210 and step 220 are described in detail below.

In step 210, the cloud management platform provides a real-time fee deduction information selection interface for the cloud service.

The cloud service is any cloud service purchased by a tenant on public cloud, and the real-time fee deduction information selection interface can be used for acquiring the real-time fee deduction information display requirement of the cloud service.

The real-time deduction information selection interface may be an API or interface, for example.

In one example, the cloud management platform server may provide a real-time fee deduction information selection API for the cloud service based on the cloud management platform to obtain real-time fee deduction information display requirements of the cloud service through the API. For example, the tenant may remotely access the API provided by the cloud management platform through the client, so as to obtain the real-time deduction information display requirement of the cloud service.

In yet another example, the cloud management platform server may provide a real-time fee deduction information selection interface for the cloud service based on the cloud management platform to obtain real-time fee deduction information display requirements of the cloud service through the interface. For example, the tenant may remotely access the interface provided by the cloud management platform through the client, so as to obtain the real-time deduction information display requirement of the cloud service.

As shown in fig. 3, a client may access a cloud management platform through the internet, and a tenant may purchase and control a cloud service provided by a public cloud to the tenant in the cloud management platform through an account registered in the cloud management platform in advance. In fig. 3, a virtual machine is taken as an example of a cloud service, and for example, virtual machine 1, virtual machine 2, virtual machine 3, and virtual machine 4 in the drawing may be taken as examples of one cloud service. The tenant can remotely log in to the cloud management platform through the Internet by operating the client, and the tenant can remotely purchase, log in, configure and use the virtual machine on the cloud management platform by operating the client. For example, when creating (may also be referred to as purchasing) a virtual machine, a tenant may check and open a function setting for estimating real-time deduction information on a page, and may obtain a real-time deduction information display requirement of the virtual machine based on a real-time deduction information selection interface provided by the cloud management platform.

In step 220, the cloud management platform displays real-time fee deduction information of the fee generated by the cloud service after the cloud service is started to the tenant according to the real-time fee deduction information display requirement.

After the real-time fee deduction information display requirement of the cloud service is acquired based on the real-time fee deduction information selection interface, the real-time fee deduction information can be acquired according to the real-time fee deduction information display requirement, so that the real-time fee deduction information of the cloud service is displayed to the tenant through the client.

For example, as shown in fig. 3, if a function setting for starting the estimated real-time fee deduction information is checked when the virtual machine is created, after the virtual machine 1 is started, the cloud management platform may display the real-time fee deduction information of the fee generated after the virtual machine 1 is started to the tenant through the client according to the real-time fee deduction information display requirement of the virtual machine 1.

Based on the scheme, the cloud management platform can select the interface based on the real-time fee deduction information, acquire the real-time fee deduction information display requirement of the cloud service, and further display the real-time fee deduction information of the cloud service purchased by the tenant based on the real-time fee deduction information display requirement, so that the tenant can know the real-time fee deduction information of the purchased cloud service in real time.

How the real-time fee deduction information for the cloud service is determined in the method 200 is described below in connection with fig. 4.

Step 410, step 420 and step 430 are shown in fig. 4, and steps 410 to 430 are described in detail below.

In step 410, the cloud management platform obtains metering dimensions of the cloud service.

Cloud servers running public clouds can provide cloud services for tenants, and tenants can use any cloud service provided by the public clouds. For ease of distinction and explanation, cloud services provided by public clouds that are used by tenants are referred to herein as cloud services.

The public cloud may determine the original data of all cloud services on the public cloud, for example, the original data of the cloud services may include, but is not limited to, a type of the cloud service, a name of the cloud service, an Identifier (ID) of the cloud service, an ID of a tenant to which the cloud service belongs, a creation time of the cloud service, an enabling time of the cloud service, a metering dimension of the cloud service, a metering manner of the cloud service, a start time of a metering period of the cloud service, an end time of the metering period of the cloud service, and the like, which is not limited by the present application.

Illustratively, the metering dimensions of the cloud service may include: duration, size, number of times, bandwidth, traffic, etc.

The duration may represent an accumulated duration of use of the cloud service, the size may represent a size of the cloud service used, the number of times may represent a number of times of use of the same cloud service, the bandwidth may represent a bandwidth of the cloud service used, and the traffic may represent traffic generated by using the cloud service.

Types of cloud services may include, but are not limited to, elastic computing services (elastic compute service, ECS), elastic file services (scalable file service, SFS), elastic internet protocol (elastic internet protocol, EIP) (which may also be referred to as "elastic public network IP"), and messaging services (simple message notification, SMN), among others. The name of the cloud service may be a name defined by the tenant for the cloud service when creating the cloud service. The Identification (ID) of the cloud service, the ID of the tenant to which the cloud service belongs, and the creation time of the cloud service are all automatically generated by the public cloud when the tenant creates the cloud service.

For cloud services supporting only one metering dimension, when creating the cloud services, the metering dimension is default, and the tenant does not need to select the metering dimension of the cloud services, for example, the ECS only supports metering dimensions with duration as the metering dimension; for cloud services supporting multiple metering dimensions, a tenant may select one metering dimension from the multiple metering dimensions when creating the cloud service, e.g., SFS may support size as metering dimension or traffic as metering dimension.

The different metering dimensions supported by the cloud service correspond to different pricing manners, and the pricing manners of the cloud service can be determined according to the metering dimensions of the cloud service. The start time of the metering period of the cloud service and the end time of the metering period of the cloud service are automatically generated by the cloud server after each cloud service enablement.

In addition, the metering result of the cloud service can be obtained by counting the service condition of the cloud service based on the metering dimension.

The cloud service may be a cloud service that may be set to perform pre-estimated real-time deduction information when the tenant creates the cloud service (or purchases the cloud service) on a public cloud, or when the tenant enables the cloud service. The application is not limited in this regard.

As an example and not by way of limitation, as shown in fig. 4, a tenant may check on the cloud service creation page to start estimated real-time deduction information when creating a cloud service, so that the tenant may view the real-time deduction information of the cloud service in the process of using the cloud service.

Illustratively, when a tenant enables a cloud service, the cloud management platform may obtain the metering dimension of the cloud service from the public cloud.

In step 420, the cloud management platform determines a first fee deduction information prediction model based on the metering dimensions of the cloud service.

The first deduction information estimation model is a deduction information estimation model corresponding to a metering dimension of the cloud service in a plurality of predefined deduction information estimation models, each model in the plurality of deduction information estimation models can correspond to one metering dimension, and each model can be used for estimating real-time deduction information of the cloud service based on the corresponding metering dimension.

It should be understood that the plurality of fee deduction information prediction models and the corresponding relationship of each fee deduction information prediction model with respect to the metering dimension may be predefined.

After the cloud management platform acquires the metering dimension of the cloud service, a fee deduction information estimation model corresponding to the metering dimension can be determined in a plurality of predefined fee deduction information estimation models according to the metering dimension of the cloud service, so that the fee deduction information of the cloud service can be estimated in real time.

For example, the real-time deduction information for the cloud service may include a real-time deduction rate and/or a real-time deduction amount. The real-time deduction rate is estimated deduction amount per second, and the real-time deduction amount is estimated current accumulated deduction amount.

It can be understood that the real-time deduction amount at the current time point is obtained by accumulating the deduction amount per second in the period from the beginning of the present deduction period to the present time point. It will also be appreciated that the amount of deduction per second is also the real time deduction rate.

If the metering dimension of the cloud service is a duration, in the process of using the cloud service, the real-time fee deduction rate can be a fixed certain value; if the metering dimension of the cloud service is the size, in the process of using the cloud service, if the size of the cloud service is unchanged, the real-time fee deduction rate can be a fixed value; if the metering dimension of the cloud service is the number of times, the real-time deduction rate is not zero only when the cloud service is used each time, and the real-time deduction rate in the second when the cloud service starts to be used can be the amount to be deducted when the cloud service is used once; if the metering dimension of the cloud service is bandwidth, in the process of using the cloud service, the real-time deduction rate can be changed in real time according to different bandwidths per second; if the metering dimension of the cloud service is the flow, the real-time deduction rate can be determined according to the flow generated by using the cloud service every second in the process of using the cloud service.

In step 430, the cloud management platform predicts real-time fee deduction information of the cloud service through the first fee deduction information prediction model.

Under the condition that a first deduction information estimation model corresponding to the metering dimension of the cloud service is determined, the cloud management platform can estimate the real-time deduction information of the cloud service by using the first deduction estimation model.

In one possible implementation manner, the cloud service charging device estimates real-time fee deduction information of the cloud service through a first fee deduction information estimation model, which may include: and the cloud management platform determines real-time fee deduction information of the cloud service based on the metering result of the cloud service through the first fee deduction information prediction model. The metering result is obtained by counting the service condition of the cloud service based on the metering dimension.

The cloud management platform may take the measurement result of the cloud service as an input value of the first deduction information prediction model, input the measurement result of the cloud service into the first deduction information prediction model, and obtain real-time deduction information of the cloud service based on analysis processing of the measurement result of the cloud service by the first deduction information prediction model, where the real-time deduction information of the cloud service may be output data of the first deduction information prediction model.

Optionally, the measurement dimension of the cloud service is a duration or a size, and the cloud management platform determines, through the first fee deduction information prediction model, the real-time fee deduction information of the cloud service based on the measurement result of the cloud service, and may include: the cloud management platform determines a pricing model corresponding to the metering dimension of the cloud service through a first deduction information pre-estimation model; and determining real-time fee deduction information of the cloud service based on the charging mode and the metering result of the cloud service through the first fee deduction information prediction model.

In an example, assuming that the metering dimension of the cloud service is a duration, the cloud management platform may obtain, from the public cloud through the first fee deduction information prediction model, a fee manner corresponding to the duration, for example, k yuan/hour (k is a positive number), for example, 0.36 yuan/hour, for example, an initial metering result is 1 second, the cloud management platform may convert 0.36 yuan/hour into 0.0001 yuan/second through the first fee deduction information prediction model, and may determine that the real-time fee deduction rate of the cloud service is 0.0001 yuan/second and the real-time fee deduction amount of the current cloud service is 0.0001 yuan.

As another example, assuming that the metering dimension of the cloud service is the size, the cloud service charging device may obtain, through the first deduction information estimation model, the metering manner of the cloud service and the metering result of the cloud service from the public cloud, for example, the metering manner of the cloud service includes a correspondence between the size of the cloud service and the deduction amount per hour, for example, 100 Gigabytes (GB) corresponds to 0.72 element per hour deduction, 200GB corresponds to 0.78 element per hour, and the metering result of the cloud service is 100GB, the cloud management platform may convert 0.72 element per hour into 0.0002 element per second based on the metering result 100GB of the cloud service, and may determine that the real-time deduction rate of the cloud service is 0.0002 element per second and the initial real-time deduction amount of the current cloud service is 0.0002 element.

Optionally, the metering dimension of the cloud service is the number of times, the bandwidth or the flow, and the first deduction information estimation model can be obtained through training according to historical deduction information.

That is, the deduction information estimation model corresponding to the number of times of the metering dimension, the deduction information estimation model corresponding to the bandwidth of the metering dimension, and the deduction information estimation model corresponding to the flow of the metering dimension may be trained in advance according to historical deduction information of the tenant.

By way of example and not limitation, each of the three fee deduction information estimation models may be an auto-regressive moving average (ARMA) model.

For example, taking a deduction information pre-estimation model corresponding to the metering dimension as the bandwidth as an example, relevant historical data of the bandwidth when the tenant uses the cloud service can be obtained. By way of example and not limitation, the time granularity of the historical data may be on the order of minutes, as shown in table 1, table 1 shows the values of the bandwidths corresponding to certain points in time during the use of the cloud service by a certain tenant, for example, at a point in time of 42 minutes 0 seconds (2021.9.22 22:42:00) at 22 days 22 months 9 in 2021, the corresponding bandwidth values being 5760 bits/second.

TABLE 1

Time point	Bandwidth (bit/s)
		2021.9.22 22:42:00	5760
2021.9.22 22:43:00	2760
		2021.9.22 22:44:00	2443
2021.9.22 22:45:00	2343
		2021.9.22 22:46:00	12442
2021.9.22 22:47:00	2333

It should be understood that, as shown in table 1, the interval between the time points is 1 minute, the values of bandwidths corresponding to adjacent time points may be first differentiated, the average rate of change of bandwidths per second may be calculated, and then the value of bandwidths corresponding to each second between every two adjacent time points may be calculated. For example, the difference between "5760" corresponding to "2021.9.22 22:42:00" and "2760" corresponding to "2021.9.22 22:43:00", that is, 2760-5760= -3000, -3000 +.60= -50, that is, the bandwidth between "2021.9.22 22:42:00" and "2021.9.22 22:43:00" is reduced by 50 bits per second on average, that is, the bandwidth corresponding to 2021.9.22 22:42:01 has a value of 5710 (obtained from 5760-50) bit/s, the bandwidth corresponding to 2021.9.22 22:42:02 has a value of 5660 (obtained from 5710-50) bit/s, the bandwidth corresponding to 2021.9.22 22:42:03 has a value of 5610 (obtained from 5660-50) bit/s, and so on, the bandwidth corresponding to 2021.9.22 22:42:59 has a value of 2810. Similarly, bandwidth values are calculated for each second over the period 2021.9.22 22:43:00 to 2021.9.22 22:47:00. And then taking the bandwidth value corresponding to each second in the time period 2021.9.22 22:42:00 to 2021.9.22 22:47:00 as a training data set of the ARMA model, and training the ARMA model to obtain the deduction information estimation model corresponding to the metering dimension bandwidth.

The deduction information pre-estimation model corresponding to the metering dimension as times, the deduction information pre-estimation model corresponding to the metering dimension as flow and the deduction information pre-estimation model corresponding to the metering dimension as bandwidth are similar. The training data set of the deduction information estimation model corresponding to the metering dimension times can be related historical data of the tenant times of using the cloud service, and the ARMA model is trained by the data to obtain the deduction information estimation model corresponding to the metering dimension times; the training data set of the deduction information estimation model corresponding to the metering dimension as the flow can be related historical data of the flow generated when the tenant uses the cloud service, and the ARMA model is trained by the data to obtain the deduction information estimation model corresponding to the metering dimension as the flow.

It should be noted that, when a tenant is a new tenant, that is, when public cloud does not generate historical fee deduction information about the tenant, a preset initial value may be input into an ARMA model to predict, along with the use of cloud services by the tenant, the historical fee deduction information of the tenant is generated, and then the ARMA model is pre-trained by using the historical fee deduction information of the tenant, along with the increasing generation of the historical fee deduction information of the tenant, the better the estimated effect of the ARMA model is, and the more accurate the obtained real-time fee deduction information is.

Optionally, the method 200 further comprises: generating and sending event notification by public cloud; accordingly, the cloud management platform receives event notifications for cloud services.

The event notification may be used to indicate that the state of the cloud service changes, and the event notification may include a type of event, where the event is an event that triggers the state of the cloud service to change.

For example, the public cloud may provide event notification services, sending event notifications to other devices. The cloud management platform may subscribe to an event notification service of the public cloud. In the case that the public cloud determines that the state of the cloud service changes, an event notification may be sent to the cloud management platform, and accordingly, the cloud management platform may receive the event notification from the public cloud.

Optionally, the types of events include: creating a cloud service event, deleting a cloud service event, a cloud service start event, a cloud service close event, a cloud service expansion event, and a cloud service contraction event.

Creating a cloud service event may be understood as an event that creates a cloud service, deleting a cloud service event may be understood as an event that releases a cloud service, cloud service activation event may be understood as an event that enables a cloud service, cloud service shutdown event may be understood as an event that shuts down a cloud service, cloud service capacity expansion event may be understood as an event that increases the total capacity of a cloud service, and cloud service capacity reduction event may be understood as an event that decreases the total capacity of a cloud service.

For example, when the tenant or the preset timing task triggers a cloud service creation event, a cloud service deletion event, a cloud service start event, a cloud service shutdown event, a cloud service capacity expansion event, or a cloud service capacity shrinkage event for the cloud service, the cloud server may send an event notification to the cloud management platform subscribed to the event notification service thereof, and accordingly, the cloud management platform receives the event notification from the public cloud.

Optionally, in the case of receiving an event notification, the method 200 may further include: and the cloud management platform updates the metering result of the cloud service under the condition that the event is determined to influence the real-time deduction rate of the cloud service.

In an exemplary embodiment, when the cloud management platform receives the event notification, the cloud management platform may analyze based on the type of the event in the event notification, update the metering result of the cloud service when determining that the event is a real-time deduction rate affecting the cloud service, and input the updated metering result into the first deduction information estimation model to estimate the real-time deduction information again. For example, the type of the event in the event notification is an uploading file event, the metering dimension of the cloud service is a time length, the real-time fee deduction rate of the cloud service is unchanged and is not affected by the uploading file event, and in this case, the metering result of the cloud service may not be updated. For another example, the type of the event in the event notification is an uploading file event, the metering dimension of the cloud service is the size, and the real-time deduction rate of the cloud service is changed under the influence of the uploading file event, in which case the metering result of the cloud service can be updated.

Optionally, the method 200 further comprises: taking a preset duration as a period, the cloud management platform acquires monitoring data of the cloud service, wherein the monitoring data comprise a metering dimension and a monitoring value, and the monitoring value is a use value of the cloud service acquired for the metering dimension in the current period; and adjusting the real-time deduction information of the cloud service based on the monitoring data.

As mentioned above, the public cloud may determine the original data including the metering dimension of all cloud services on the public cloud, and the cloud management platform may acquire the original data of the cloud services from the public cloud with the preset duration as a period.

It should be appreciated that the period is predetermined and may be on the order of minutes, for example, 1 minute, 2 minutes, 5 minutes, 10 minutes, etc., as the application is not limited in this regard.

Illustratively, the cloud management platform collects monitoring data of the cloud service from the public cloud with a period of 1 minute, wherein the monitoring data includes, but is not limited to, metering dimensions and monitoring values, and the monitoring data can also include monitoring collection time and the like. For example, if the metering dimension of the cloud service is the bandwidth, the monitoring value corresponding to the bandwidth may be an accurate bandwidth value generated on the network card, the acquired accurate bandwidth value is input into the first deduction information prediction model, the real-time deduction information of the next second is predicted, and the real-time deduction information currently displayed is adjusted to the real-time deduction information predicted according to the monitoring data.

It will be appreciated that the period is 1 minute, i.e. the real-time deduction information is adjusted once per minute based on the monitoring data.

In one possible implementation, the method 200 may further include: the cloud management platform adjusts real-time fee deduction information of the cloud service based on the actual fee deduction amount, wherein the actual fee deduction amount is the accumulated fee deduction amount corresponding to the cloud service in the current fee deduction period.

As mentioned above, the present cloud server performs fee deduction once per hour, that is, the fee deduction period is 1 hour, and an actual fee deduction amount can be obtained per hour, and the fee deduction is performed on the account of the tenant based on the actual fee deduction amount. The cloud management platform may adjust the current estimated real-time deduction amount to the actual deduction amount based on the actual deduction amount obtained per hour, and/or adjust the current estimated real-time deduction rate to the difference value by making a difference between the actual deduction amount and the pre-display real-time deduction amount of the previous second.

Optionally, the cloud management platform may further obtain a difference value of the real-time deduction rate before and after adjustment based on the actual deduction amount; and under the condition that the difference value of the real-time deduction rate is smaller than a preset first threshold value, starting a function of real-time deduction according to the real-time deduction rate.

That is, the cloud management platform may adjust the real-time deduction rate of the cloud service according to the actual deduction amount per hour, and the cloud management platform may calculate a difference between the real-time deduction rates before and after adjustment, and in case that the difference is smaller than a preset first threshold, the cloud management platform may start the function of real-time deduction according to the real-time deduction rate, that is, the cloud management platform may perform deduction every second according to the estimated real-time deduction rate.

Optionally, the cloud management platform may further obtain a difference value between the real-time deduction amount before and after adjustment based on the actual deduction amount; and under the condition that the difference value of the real-time deduction amount is smaller than a preset second threshold value, starting a function of real-time deduction according to the real-time deduction rate.

That is, the cloud management platform may adjust the real-time deduction amount of the cloud service according to the actual deduction amount per hour, and the cloud management platform may calculate a difference between the real-time deduction amounts before and after adjustment, and in case that the difference is smaller than a preset second threshold, the cloud management platform may start the function of real-time deduction according to the real-time deduction rate, that is, the cloud management platform may perform deduction once per second according to the estimated real-time deduction rate.

Optionally, the cloud management platform may further obtain a difference value of the real-time deduction rate before and after adjustment based on the actual deduction amount, and obtain a difference value of the real-time deduction amount before and after adjustment based on the actual deduction amount; and under the condition that the difference value is smaller than a preset first threshold value and the difference value of the real-time deduction amount is smaller than a preset second threshold value, starting a function of real-time deduction according to the real-time deduction rate.

That is, the cloud management platform may adjust the real-time deduction rate and the real-time deduction amount of the cloud service according to the actual deduction amount per hour, and the cloud management platform may calculate the difference between the real-time deduction rate before and after adjustment and the difference between the real-time deduction amount, and in the case that the difference between the real-time deduction rates is smaller than a preset first threshold and the difference between the real-time deduction amounts is smaller than a preset second threshold, the cloud management platform may start the function of real-time deduction according to the real-time deduction rate, that is, the cloud management platform may perform deduction once per second according to the estimated real-time deduction rate.

It should be noted that, the first threshold and/or the second threshold may be a default threshold of the cloud management platform, or may be a threshold set by the tenant, which is not limited in the present application. The first threshold value and the second threshold value may be the same or different, which is not limited in the present application.

Optionally, under the condition that the cloud management platform deducts fees once per second according to the estimated real-time fee deduction rate, the cloud management platform can adjust account balances of tenants to which the cloud service belongs according to the actual fee deduction amount and the real-time fee deduction amount per hour.

The cloud management platform may calculate a difference between the actual deduction amount and the real-time deduction amount, and subtract the difference from an account balance of a tenant to which the cloud service belongs when the actual deduction amount is greater than the real-time deduction amount; and under the condition that the actual deduction amount is smaller than the real-time deduction amount, the cloud management platform can add the difference to the account balance of the tenant to which the cloud service belongs.

Based on the technical scheme, through a plurality of predefined deduction information pre-estimation models corresponding to metering dimensions, the original data of the cloud service, including the metering dimensions, which is acquired from public cloud and is based on the technical scheme, are analyzed, and real-time deduction information of the cloud service is obtained. The client can then present the estimated real-time deduction information to the tenant, so that the tenant can solve the estimated real-time deduction information in real time. In addition, the real-time estimated deduction information of the cloud service can be adjusted according to the monitoring data and/or the actual deduction amount, so that the real-time estimated deduction information of the cloud service is more accurate. Moreover, under the condition that the preset condition is met, real-time fee deduction can be carried out on the account of the tenant based on the real-time estimated fee deduction rate, so that the effect of carrying out real-time fee deduction on the service condition of the cloud service according to the tenant is achieved.

Fig. 6 is a schematic diagram of viewing a real-time deduction information page according to an embodiment of the present application. As shown in fig. 6, the tenant may view real-time fee deduction information of the cloud service on a view real-time fee deduction information page of the client. As shown in fig. 6, 2 cloud services with cloud service names of ESC01 and ESC02 are shown, on the view real-time deduction information page, a tenant may view the real-time deduction rate and real-time deduction amount of ESC01, may view the real-time deduction rate and real-time deduction amount of ESC02, and may also view that the whole cloud service type of ESC to which ESC01 and ESC02 belong includes several cloud services, and the total real-time deduction rate and real-time deduction amount of the cloud service type.

It should be understood that fig. 6 is only exemplary and should not be construed as limiting the application in any way.

In some possible designs, a change graph of the real-time deduction information can be presented to the tenant on the page of the client, so that the tenant can know the peak value and the valley value of the real-time deduction information generated by using the cloud service, and further the peak value period and the valley value period of the service of the tenant can be deduced according to the peak value and the valley value of the real-time deduction information, and the tenant can grasp the service condition better.

Fig. 7 is a schematic diagram of interaction between a cloud management platform and public cloud provided by an embodiment of the present application.

As shown in fig. 7, data interaction can be performed between the public cloud and the cloud management platform. The cloud management platform can comprise an original data acquisition module, a monitoring data acquisition module and an event acquisition module; the event acquisition module may further include a message middleware, a filtering sub-module, and an event data storage sub-module. The estimation module can comprise a duration-based fee deduction information estimation model, a size-based fee deduction information estimation model, a frequency-based fee deduction information estimation model, a bandwidth-based fee deduction information estimation model and a flow-based fee deduction information estimation model.

It should be noted that, the original data obtaining module may be configured to support the cloud management platform to obtain original data of the cloud service; the estimating module can be used for supporting the cloud management platform to determine a first fee deduction information estimating model based on the measurement dimension of the cloud service, and estimating real-time fee deduction information of the cloud service through the first fee deduction information estimating model.

The message middleware in the event acquisition module can be used for supporting the cloud management platform to receive event notifications from public cloud, and the filtering sub-module can be used for supporting the cloud management platform to update metering results of cloud service and store the updated metering results into the event data storage sub-module under the condition that the event in the received event notifications is determined to be a real-time deduction rate affecting cloud service.

The monitoring data acquisition module can be used for supporting the cloud management platform to acquire monitoring data of the cloud service by taking the preset duration as a period.

The charging module can be used for supporting the cloud management platform to charge based on the real-time deduction information generated by the estimating module; the charging module can also be used for supporting the cloud management platform to adjust the real-time fee deduction information of the cloud service based on the actual fee deduction amount; the charging module can also be used for supporting the cloud management platform to adjust the account balance of the tenant to which the cloud service belongs in an hourly manner according to the actual deduction amount and the real-time deduction amount.

The cloud service providing method based on public cloud technology provided by the application is described below with reference to the related modules in the cloud management platform.

Fig. 8 is a further schematic flow chart of cloud service provision based on public cloud technology provided by an embodiment of the present application.

In step 801, a public cloud may create a cloud service.

The public cloud may create a cloud service in response to an operation of the tenant to create the cloud service.

In step 802, the public cloud may generate an event notification.

As mentioned above, public clouds may provide event notification services to which cloud management platforms may subscribe. And determining that the event for creating the cloud service is an event for triggering the state of the cloud service to change in the public cloud, wherein the public cloud can generate an event notification for creating the cloud service.

In step 803, the public cloud may send an event notification to the cloud management platform. Accordingly, the cloud management platform may receive event notifications from the public cloud based on the event acquisition module.

In step 804, the cloud management platform may obtain raw data from the public cloud based on the raw data acquisition module.

Through analysis of the event notification of the cloud service by the event acquisition module, in the case that the creation event of the cloud service is determined to be an event affecting the charging rate of the cloud service, the event acquisition module may acquire the original data including the metering dimension of the first data from the public cloud with the assistance of the original data acquisition module.

It should be noted that, after the original data of the cloud service is obtained, the event obtaining module may save the metering result of the cloud service. It should be understood that before the cloud service is not created, the metering result of the cloud service is not stored in the event data storage module of the event acquisition module, and after the original data of the cloud service is acquired, the event acquisition module may store the metering result of the cloud service in the event data storage module, which is equivalent to updating the metering result of the cloud service.

In step 805, the cloud management platform may obtain the raw data from the raw data acquisition module based on the pre-estimation module.

In step 806, the estimation module of the cloud management platform may estimate real-time deduction information of the cloud service based on the raw data.

And the cloud management platform analyzes and processes the original data of the cloud service based on the estimation module and estimates the real-time fee deduction information of the cloud service.

In step 807, the public cloud may periodically generate monitoring data.

For example, public clouds may generate monitoring data every 1 minute, with a period of 1 minute.

In step 808, the cloud management platform may obtain the monitoring data from the public cloud based on the monitoring data acquisition module.

The cloud management platform can periodically acquire monitoring data of cloud services from public cloud based on the monitoring data acquisition module. For example, monitoring data of cloud services is acquired from public cloud in a period of 1 minute.

In step 809, the cloud management platform may obtain the monitoring data from the monitoring data obtaining module based on the pre-estimation module.

In step 810, the pre-estimation module of the cloud management platform may adjust the real-time deduction information based on the monitoring data.

The cloud management platform can analyze and process the monitoring data of the cloud service based on the pre-estimation module and adjust the real-time fee deduction information of the cloud service. It should be understood that the cloud management platform adjusts the real-time fee deduction information of the cloud service once every 1 minute based on the monitoring data of the cloud service.

In step 811, the public cloud may periodically generate metering results.

For example, with a period of 1 hour, public clouds may generate metering results every 1 hour.

In step 812, the cloud management platform may obtain metering results from the public cloud based on the billing module.

The cloud management platform can acquire metering results of cloud services from public cloud based on the charging module. For example, metering results of cloud services are acquired from public clouds at a period of 1 hour.

In step 813, the charging module of the cloud management platform may generate an actual amount to be deducted based on the metering result.

The charging module may generate an actual deduction amount of one charging period of the cloud service based on a metering result of the cloud service acquired from the public cloud.

In step 814, the cloud management platform may obtain the actual amount of the fee deduction from the billing module based on the pre-estimation module.

In step 815, the estimation module of the cloud management platform may adjust the real-time deduction information based on the actual deduction amount.

The cloud management platform adjusts the real-time fee deduction information of the cloud service once every 1 hour based on the actual fee deduction amount of the cloud service.

Fig. 9 is a schematic block diagram of another cloud service providing apparatus based on public cloud technology according to an embodiment of the present application.

As shown in fig. 9, the cloud service providing apparatus 900 based on public cloud technology may include a processing module 910 and a transceiver module 920. The cloud service providing apparatus 900 based on public cloud technology may be used to perform a cloud management platform or a step of public cloud.

Illustratively, when the cloud service providing apparatus 900 based on public cloud technology is used to execute the steps of the cloud management platform in fig. 2, 4 and 8, the cloud service providing apparatus 900 based on public cloud technology may be, for example, a cloud management platform server, where the processing module 910 may be configured to provide a real-time fee deduction information selection interface for a cloud service, where the cloud service is a cloud service purchased by a tenant on the cloud management platform, and the real-time fee deduction information selection interface is configured to obtain a real-time fee deduction information display requirement of the cloud service; the processing module 910 and the transceiver module 920 may cooperate to display real-time fee deduction information of a fee generated by the cloud service after the cloud service is started to the tenant according to the real-time fee deduction information display requirement.

Optionally, determining the real-time deduction information includes: the transceiver module 920 may also be configured to obtain a metering dimension of the cloud service; the processing module 910 may be configured to determine a first fee deduction information prediction model based on a measurement dimension of the cloud service, where the first fee deduction information prediction model is a fee deduction information prediction model corresponding to the measurement dimension of the cloud service in a predefined plurality of fee deduction information prediction models, each model in the plurality of fee deduction information prediction models corresponds to one measurement dimension, and each model is configured to predict real-time fee deduction information of the cloud service based on the corresponding measurement dimension; and estimating real-time fee deduction information of the cloud service through the first fee deduction information estimation model.

Optionally, in one possible design, the metering dimension includes: duration, size, number of times, bandwidth, or traffic; the method comprises the steps of determining a time length of cloud service usage, wherein the time length represents an accumulated time length of the cloud service usage, the size represents the size of the cloud service used, the times represent the times of using the same cloud service, the bandwidth represents the bandwidth of the cloud service used, and the flow represents the flow generated by using the cloud service.

Optionally, in one possible design, the real-time deduction information includes a real-time deduction rate and/or a real-time deduction amount, where the real-time deduction rate is an estimated amount to be deducted per second, and the real-time deduction amount is an estimated current accumulated deduction amount.

Optionally, in one possible design, the processing module 910 may specifically be configured to determine, through the first fee deduction information prediction model, real-time fee deduction information of the cloud service based on a measurement result of the cloud service, where the measurement result is obtained by counting a usage situation of the cloud service based on a measurement dimension.

Optionally, in one possible design, the metering dimension is a duration or a size, and the processing module 910 may specifically be configured to determine, through the first fee deduction information prediction model, a pricing manner corresponding to the metering dimension of the cloud service; and determining real-time fee deduction information of the cloud service based on the charging mode and the metering result of the cloud service through a first fee deduction information estimation model.

Optionally, in one possible design, the metering dimension is a number of times, a bandwidth, or a flow, and the first fee deduction information prediction model is trained according to historical fee deduction information.

Optionally, in one possible design, the transceiver module 920 may be further configured to receive an event notification for the cloud service, where the event notification is used to indicate that the state of the cloud service changes, and the event notification includes a type of an event, where the event is an event that triggers the state of the cloud service to change.

Optionally, in one possible design, the types of events include: creating a cloud service event, deleting a cloud service event, a cloud service start event, a cloud service close event, a cloud service expansion event, and a cloud service contraction event.

Optionally, in one possible design, the processing module 910 may be further configured to update the metering result of the cloud service if it is determined that the event is a real-time deduction rate affecting the cloud service.

Optionally, in one possible design, the transceiver module 920 may be further configured to acquire monitoring data of the cloud service with a preset duration as a period, where the monitoring data includes the metering dimension and a monitoring value, and the monitoring value is a usage value of the cloud service collected for the metering dimension in the current period; the processing module 910 may also be configured to adjust real-time deduction information of the cloud service based on the monitoring data.

Optionally, in one possible design, the processing module 910 may be further configured to adjust the real-time deduction information of the cloud service based on an actual deduction amount, where the actual deduction amount is an accumulated deduction amount corresponding to the cloud service in the current deduction period.

For example, when the cloud service providing apparatus 900 based on public cloud technology is configured to perform the step of public cloud in fig. 8, the cloud service providing apparatus 900 based on public cloud technology may be, for example, a cloud server, where the processing module 910 may be configured to generate an event notification, where the event notification is configured to indicate that a state of a cloud service changes, the event notification includes a type of an event, and the event is an event that triggers a change in the state of the cloud service; transceiver module 920 may be used to send event notifications.

Fig. 10 is a schematic block diagram of an apparatus provided by an embodiment of the present application. The apparatus 1000 may be used to implement the functions of the cloud management platform in fig. 2, fig. 4, or fig. 8, or the public cloud in fig. 8. The apparatus 1000 may be a system-on-chip. In the embodiment of the application, the chip system can be formed by a chip, and can also comprise the chip and other discrete devices.

As shown in fig. 10, the apparatus 1000 may include at least one processor 1010 configured to implement the cloud management platform in fig. 2, fig. 4, and fig. 8 or the public cloud function in fig. 8 provided by the embodiment of the present application.

For example, when the apparatus 1000 is used to implement the functions of the cloud management platform in fig. 2 and 4, the apparatus 1000 may be a cloud management platform server, and the processor 1010 may be configured to provide a real-time fee deduction information selection interface for a cloud service, where the cloud service is a cloud service purchased by a tenant on the cloud management platform, and the real-time fee deduction information selection interface is configured to obtain a real-time fee deduction information display requirement of the cloud service; and displaying the real-time fee deduction information of the fee generated by the cloud service after the cloud service is started to the tenant according to the real-time fee deduction information display requirement. Reference is made specifically to the detailed description in the method examples, and details are not described here.

For another example, when the apparatus 1000 is configured to implement the public cloud function in fig. 8, the apparatus 1000 may be a cloud server, and the processor 1010 may be configured to generate an event notification, where the event notification is configured to indicate that a state of a cloud service changes, and the event notification includes a type of an event, where the event is an event that triggers the state of the cloud service to change; an event notification is sent. Reference is made specifically to the detailed description in the method examples, and details are not described here.

The apparatus 1000 may also include at least one memory 1020 for storing program instructions and/or data. Memory 1020 is coupled to processor 1010. The coupling in the embodiments of the present application is an indirect coupling or communication connection between devices, units, or modules, which may be in electrical, mechanical, or other forms for information interaction between the devices, units, or modules. The processor 1010 may operate in conjunction with the memory 1020. The processor 1010 may execute program instructions stored in the memory 1020. At least one of the at least one memory may be included in the processor.

The apparatus 1000 may further include a communication interface 1030 for communicating with other devices over a transmission medium such that the apparatus 1000 may communicate with other devices, e.g., the other devices may be public clouds when the apparatus 1000 is a cloud management platform; when the apparatus 1000 is a public cloud, the other device may be a cloud management platform. The communication interface 1030 may be, for example, a transceiver, an interface, a bus, a circuit, or a device capable of implementing a transceiver function. The processor 1010 may utilize the communication interface 1030 to send and receive data and/or information and is configured to implement a method performed by the cloud management platform described in this embodiment or to implement a method performed by the public cloud described in this embodiment.

The specific connection medium between the processor 1010, the memory 1020, and the communication interface 1030 is not limited in this embodiment. The embodiment of the present application is illustrated in fig. 10 as being coupled between the processor 1010, the memory 1020, and the communication interface 1030 via a bus 1040. The bus 1040 is shown in fig. 10 with a bold line, and the connection between the other components is merely schematically illustrated, and is not limited thereto. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 10, but not only one bus or one type of bus.

The present application also provides a chip system, where the chip system includes at least one processor, where the chip system is configured to implement functions related to a method performed by a cloud management platform in an embodiment corresponding to fig. 2, fig. 4, and fig. 8, or to implement functions related to a method performed by a public cloud in an embodiment corresponding to fig. 8, for example, receive or process data and/or information related to the foregoing method.

The present application also provides a computer program product comprising: a computer program (which may also be referred to as code, or instructions), which, when executed, causes a computer to perform a method performed by a cloud management platform as in the embodiment shown in fig. 2, 4 and 8, or a method performed by a public cloud as in the embodiment shown in fig. 8.

The present application also provides a computer-readable storage medium storing a computer program (which may also be referred to as code, or instructions). When the computer program is run, the computer is caused to perform the method performed by the cloud management platform in the embodiment as shown in fig. 2, 4 and 8, or the computer is caused to perform the method performed by the public cloud in the embodiment as shown in fig. 8.

It should be appreciated that the processor in embodiments of the present application may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by integrated logic circuits of hardware in a processor or instructions in software form. The processor may be a general purpose processor, a digital signal processor (digital signal processor, DSP), an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field programmable gate array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.

It should also be appreciated that the memory in embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

The terms "unit," "module," and the like as used in this specification may be used to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution.

Those of ordinary skill in the art will appreciate that the various illustrative logical blocks (illustrative logical block) and steps (steps) described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. In the several embodiments provided by the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

In the above-described embodiments, the functions of the respective functional units may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions (programs). When the computer program instructions (program) are loaded and executed on a computer, the processes or functions according to the embodiments of the present application are fully or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital versatile disk (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. The cloud service providing method based on public cloud technology is characterized by comprising the following steps of:

the cloud management platform provides a real-time fee deduction information selection interface for cloud services, wherein the cloud services are cloud services purchased by tenants on the cloud management platform, and the real-time fee deduction information selection interface is used for acquiring real-time fee deduction information display requirements of the cloud services;

and the cloud management platform displays the real-time fee deduction information of the fee generated by the cloud service after starting to the tenant according to the real-time fee deduction information display requirement.

2. The method of claim 1, wherein determining the real-time deduction information comprises: the cloud management platform acquires the metering dimension of the cloud service;

the cloud management platform determines a first deduction information estimation model based on the metering dimension of the cloud service, wherein the first deduction information estimation model is a deduction information estimation model corresponding to the metering dimension of the cloud service in a plurality of predefined deduction information estimation models, each model in the plurality of deduction information estimation models corresponds to one metering dimension, and each model is used for estimating real-time deduction information of the cloud service based on the corresponding metering dimension;

And the cloud management platform predicts the real-time fee deduction information of the cloud service through the first fee deduction information prediction model.

3. The method of claim 2, wherein the metering dimension comprises: duration, size, number of times, bandwidth, or traffic; the duration represents the accumulated duration of using the same cloud service, the size represents the size of the used cloud service, the number of times represents the number of times of using the same cloud service, the bandwidth represents the bandwidth of the used cloud service, and the traffic represents the traffic generated by using the cloud service.

4. A method according to claim 2 or 3, wherein the real-time deduction information comprises a real-time deduction rate and/or a real-time deduction amount, the real-time deduction rate being an estimated amount per second to be deducted, the real-time deduction amount being an estimated current accumulated deduction amount.

5. The method of any one of claims 2 to 4, wherein the cloud management platform estimates real-time fee deduction information for the cloud service through the first fee deduction information estimation model, comprising:

and the cloud management platform determines the real-time fee deduction information of the cloud service based on a metering result of the cloud service through the first fee deduction information prediction model, wherein the metering result is obtained by counting the service condition of the cloud service based on the metering dimension.

6. The method of claim 5, wherein the metering dimension is a length of time or a size of time, wherein the determining, by the first fee deduction information prediction model, the real-time fee deduction information for the cloud service based on metering results for the cloud service comprises:

determining a pricing mode corresponding to the metering dimension of the cloud service through the first deduction information pre-estimation model;

and determining the real-time fee deduction information of the cloud service based on the pricing method and the metering result of the cloud service through the first fee deduction information estimation model.

7. The method of claim 6, wherein the metering dimension is a number of times, a bandwidth, or a flow, and the first fee deduction information predictive model is trained based on historical fee deduction information.

8. The method of any one of claims 5 to 7, wherein the method further comprises:

the cloud management platform receives an event notification for the cloud service, wherein the event notification is used for indicating that the state of the cloud service changes, the event notification comprises the type of an event, and the event is an event triggering the state of the cloud service to change.

9. The method of claim 8, wherein the type of event comprises: creating a cloud service event, deleting a cloud service event, a cloud service start event, a cloud service close event, a cloud service expansion event, and a cloud service contraction event.

10. The method of claim 8 or 9, wherein the method further comprises:

and the cloud management platform updates the metering result of the cloud service under the condition that the event is determined to influence the real-time deduction rate of the cloud service.

11. The method of any one of claims 2 to 10, wherein the method further comprises:

taking a preset time length as a period, the cloud management platform acquires monitoring data of the cloud service, wherein the monitoring data comprises the metering dimension and a monitoring value, and the monitoring value is a use value of the cloud service acquired for the metering dimension in the current period;

and adjusting the real-time deduction information of the cloud service based on the monitoring data.

12. The method of any one of claims 2 to 11, wherein the method further comprises:

based on the actual fee deduction amount, the cloud management platform adjusts the real-time fee deduction information of the cloud service, wherein the actual fee deduction amount is the accumulated fee deduction amount corresponding to the cloud service in the current fee deduction period.

13. A cloud service providing apparatus based on public cloud technology, the apparatus comprising:

the processing module is used for providing a real-time fee deduction information selection interface for cloud service, wherein the cloud service is a cloud service purchased by a tenant on a cloud management platform, and the real-time fee deduction information selection interface is used for acquiring the real-time fee deduction information display requirement of the cloud service;

and the receiving and transmitting module is used for displaying the real-time fee deduction information of the fees generated after the cloud service is started to the tenant according to the real-time fee deduction information display requirement.

14. The apparatus of claim 13, wherein the transceiver module is further to obtain a metering dimension of the cloud service;

the processing module is further configured to determine a first fee deduction information prediction model based on the measurement dimension of the cloud service, where the first fee deduction information prediction model is a fee deduction information prediction model corresponding to the measurement dimension of the cloud service in a predefined plurality of fee deduction information prediction models, each model in the plurality of fee deduction information prediction models corresponds to one measurement dimension, and each model is configured to predict real-time fee deduction information of the cloud service based on the corresponding measurement dimension;

The processing module is further used for estimating the real-time fee deduction information of the cloud service through the first fee deduction information estimation model.

15. The apparatus of claim 14, wherein the metering dimension comprises: duration, size, number of times, bandwidth, or traffic; the duration represents the accumulated duration of using the same cloud service, the size represents the size of the used cloud service, the number of times represents the number of times of using the same cloud service, the bandwidth represents the bandwidth of the used cloud service, and the traffic represents the traffic generated by using the cloud service.

16. The apparatus of claim 14 or 15, wherein the real-time deduction information comprises a real-time deduction rate and/or a real-time deduction amount, the real-time deduction rate being an estimated amount per second to be deducted, the real-time deduction amount being an estimated current accumulated deduction amount.

17. The apparatus of any one of claims 14 to 16, wherein the processing module is further configured to determine, with the first fee deduction information prediction model, the real-time fee deduction information for the cloud service based on a metering result of the cloud service, the metering result being obtained by statistics of usage of the cloud service based on the metering dimension.

18. The apparatus of claim 17, wherein the metering dimension is a length of time or a size of time, the processing module to determine a pricing model corresponding to the metering dimension of the cloud service from the first billing information predictive model; and determining the real-time fee deduction information of the cloud service based on the pricing method and the metering result of the cloud service through the first fee deduction information estimation model.

19. The apparatus of claim 18, wherein the metering dimension is a number of times, a bandwidth, or a flow, and the first fee deduction information predictive model is trained based on historical fee deduction information.

20. The apparatus of any one of claims 17 to 19, wherein the transceiver module is further to receive an event notification for the cloud service, the event notification to indicate a change in a state of the cloud service, the event notification to include a type of event, the event being an event that triggers a change in the state of the cloud service.

21. The apparatus of claim 20, wherein the type of event comprises: creating a cloud service event, deleting a cloud service event, a cloud service start event, a cloud service close event, a cloud service expansion event, and a cloud service contraction event.

22. The apparatus of claim 20 or 21, wherein the processing module is further configured to update the metering result for the cloud service if the event is determined to be a real-time deduction rate affecting the cloud service.

23. The apparatus of any one of claims 14 to 22, wherein the transceiver module is further configured to obtain monitoring data of the cloud service with a preset duration as a period, where the monitoring data includes the metering dimension and a monitoring value, and the monitoring value is a usage value of the cloud service collected for the metering dimension in a current period;

the processing module is also used for adjusting the real-time deduction information of the cloud service based on the monitoring data.

24. The apparatus of any one of claims 14 to 23, wherein the processing module is further configured to adjust the real-time deduction information for the cloud service based on an actual amount of deduction, the actual amount of deduction being an accumulated amount of deduction corresponding to the cloud service in a current deduction period.

25. A computer readable storage medium comprising a computer program which, when run on a computer, causes the computer to perform the method of any one of claims 1 to 12.

26. A computer program product comprising a computer program which, when run, causes a computer to perform the method of any one of claims 1 to 12.