WO2023174360A1 - 基于公有云技术的云服务提供方法和装置 - Google Patents

基于公有云技术的云服务提供方法和装置 Download PDF

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Publication number
WO2023174360A1
WO2023174360A1 PCT/CN2023/081807 CN2023081807W WO2023174360A1 WO 2023174360 A1 WO2023174360 A1 WO 2023174360A1 CN 2023081807 W CN2023081807 W CN 2023081807W WO 2023174360 A1 WO2023174360 A1 WO 2023174360A1
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WIPO (PCT)
Prior art keywords
cloud service
cloud
real
deduction information
time
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PCT/CN2023/081807
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English (en)
French (fr)
Inventor
王思珂
张广
王宝林
王聪维
王昊玄
周维华
Original Assignee
华为云计算技术有限公司
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Publication of WO2023174360A1 publication Critical patent/WO2023174360A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services

Definitions

  • This application relates to the field of cloud services, and in particular to methods and devices for providing cloud services based on public cloud technology.
  • the billing model for on-demand resources is based on hourly billing, that is, metering data is collected and deducted once every hour.
  • hourly billing that is, metering data is collected and deducted once every hour.
  • This application provides cloud service provision methods and devices based on public cloud technology, with a view to presenting real-time estimated deduction information of cloud services to tenants.
  • this application provides a cloud service provision method based on public cloud technology.
  • This method can be executed by a cloud management platform, or can also be performed by components (such as chips, chip systems, etc.) configured in the cloud management platform. etc., which are not limited by the embodiments of this application.
  • the method includes: the cloud management platform provides a real-time deduction information selection interface for cloud services.
  • the cloud services are cloud services purchased by tenants on the cloud management platform.
  • the real-time deduction information selection interface is used to obtain the cloud service.
  • Real-time deduction information display requirements; the cloud management platform displays real-time deduction information to tenants for fees incurred after the cloud service is started based on the real-time deduction information display requirements.
  • the cloud management platform can obtain the real-time deduction information display requirements of the cloud service, and then can display the real-time deduction information of the cloud service purchased by the tenant to the tenant, so that the tenant can real-time Understand the real-time deduction information of purchased cloud services.
  • determining the real-time deduction information includes: the cloud management platform obtains the measurement dimension of the cloud service; the cloud management platform determines the first deduction information estimation model based on the measurement dimension of the cloud service,
  • the first deduction information estimation model is the deduction information estimation model corresponding to the measurement dimension of the cloud service among the multiple predefined deduction information estimation models.
  • Each model in the multiple deduction information estimation models corresponds to In one measurement dimension, each model is used to estimate the real-time deduction information of the cloud service based on the corresponding measurement dimension; the cloud management platform estimates the real-time deduction information of the cloud service through the first deduction information prediction model.
  • the original deduction information obtained from the public cloud is estimated.
  • the real-time deduction information of the cloud service can be estimated, which makes it convenient for tenants to understand the real-time deduction information of the cloud services they use.
  • measurement dimensions include: duration, size, frequency, bandwidth or traffic; where duration represents the cumulative duration of using the same cloud service, and size represents the size of the cloud service used.
  • duration represents the cumulative duration of using the same cloud service
  • size represents the size of the cloud service used.
  • the number of times represents the number of times the same cloud service is used
  • the bandwidth represents the bandwidth of the cloud service used
  • the traffic represents the traffic generated by using the cloud service.
  • the real-time deduction information includes the real-time deduction rate and/or the real-time deduction amount.
  • the real-time deduction rate is the estimated amount that should be deducted per second, and the real-time deduction amount is It is the estimated current accumulated deduction amount.
  • Tenants can learn in real time the real-time deduction rate and/or real-time deduction amount of the cloud services they use.
  • the cloud management platform estimates the real-time deduction information of the cloud service through the first deduction information estimation model, including: the cloud management platform estimates through the first deduction information
  • the model determines the real-time deduction information of the cloud service based on the measurement results of the cloud service.
  • the measurement results are obtained by counting the usage of the cloud service based on the measurement dimension.
  • the measurement dimension is duration or size
  • the real-time deduction information of the cloud service is determined based on the measurement results of the cloud service through the first deduction information prediction model, including: determining the real-time deduction information with the cloud service through the first deduction information prediction model.
  • the pricing method corresponding to the measurement dimension of the service; the cloud management platform determines the real-time deduction information of the cloud service based on the pricing method and the measurement results of the cloud service through the first deduction information estimation model.
  • the measurement dimension is times, bandwidth or traffic
  • the first deduction information estimation model is trained based on historical deduction information.
  • the method further includes: receiving an event notification for the cloud service, the event notification is used to indicate a change in the status of the cloud service, the event notification includes the type of the event, the An event is an event that triggers a change in the status of a cloud service.
  • the method further includes: when the event is determined to affect the real-time deduction rate of the cloud service, updating the metering result of the cloud service.
  • the measurement results of the cloud service are updated, and the real-time deduction amount of the cloud service is re-estimated based on the updated measurement results to reduce the estimated real-time deduction amount. The difference from the actual amount that should be deducted.
  • the method further includes: obtaining monitoring data of the cloud service with a preset time period as a period.
  • the monitoring data includes the measurement dimensions and monitoring values, and the monitoring values are within the current period. Based on the usage value of cloud services collected in the measurement dimension; based on monitoring data, adjust the real-time deduction information of cloud services.
  • the real-time deduction information of the cloud service is periodically adjusted based on the monitoring data of the cloud service to reduce the error between the estimated real-time deduction amount and the actual deduction amount.
  • the method also includes: adjusting the real-time deduction information of the cloud service based on the actual amount that should be deducted, and the actual amount that should be deducted is the cloud service corresponding to the current deduction cycle. The accumulated deduction amount.
  • the real-time deduction information of cloud services is periodically adjusted based on the actual amount that should be deducted to reduce the estimated cost. The difference between the real-time deduction amount and the actual deduction amount.
  • this application provides a cloud service provision method based on public cloud technology.
  • This method can be executed by the public cloud, or it can also be executed by components (such as chips, chip systems, etc.) in the public cloud.
  • components such as chips, chip systems, etc.
  • the method includes: the public cloud generates an event notification, the event notification is used to indicate a change in the status of the cloud service, the event notification includes the type of the event, and the event is an event that triggers a change in the status of the cloud service; the public cloud sends Event notification.
  • the cloud management platform can promptly understand the status changes of the cloud service through event notifications received from the public cloud, so as to better estimate the real-time deduction information of the cloud service.
  • the types of events include: creating cloud service events, deleting cloud service events, cloud service startup events, cloud service shutdown events, cloud service expansion events, and cloud service events.
  • creating cloud service events deleting cloud service events, cloud service startup events, cloud service shutdown events, cloud service expansion events, and cloud service events.
  • event notifications can be used to understand the status changes of cloud services in a timely manner, so as to better estimate the real-time deduction information of cloud services.
  • this application provides a cloud service providing device based on public cloud technology, which can be used to implement the method in the above first aspect and any possible implementation of the first aspect.
  • the device includes corresponding modules for performing the above method.
  • the modules included in the device can be implemented in software and/or hardware.
  • this application provides a cloud service providing device based on public cloud technology, which device includes a processor.
  • the processor is coupled to a memory and can be used to execute a computer program in the memory to implement the method in the above first aspect and any possible implementation manner of the first aspect.
  • the device further includes memory.
  • the device further includes a communication interface, and the processor is coupled to the communication interface.
  • this application provides a cloud server, which can be used to implement the method in the above second aspect and any possible implementation manner of the second aspect.
  • the cloud server includes corresponding modules for executing the above methods.
  • the modules included in the cloud server can be implemented by software and/or hardware.
  • this application provides a cloud server, which includes a processor.
  • the processor is coupled to a memory and can be used to execute a computer program in the memory to implement the method in the above second aspect and any possible implementation manner of the second aspect.
  • the cloud server also includes storage.
  • the cloud server also includes a communication interface, and the processor is coupled with the communication interface.
  • the present application provides a chip system.
  • the chip system includes at least one processor for supporting the implementation of the functions involved in the above-mentioned first aspect and any possible implementation manner of the first aspect, or using In order to support the implementation of the functions involved in the above-mentioned second aspect and any possible implementation manner of the second aspect, for example, obtaining or processing the data and/or information involved in the above-mentioned method.
  • the chip system further includes a memory, the memory is used to store program instructions and data, and the memory is located within the processor or outside the processor.
  • the chip system can be composed of chips or include chips and other discrete devices.
  • the present application provides a computer-readable storage medium.
  • the computer storage medium stores a computer program (which may also be called a code, or an instruction).
  • a computer program which may also be called a code, or an instruction.
  • the present application provides a computer program product.
  • the computer program product includes: a computer program (which can also be called a code, or an instruction).
  • a computer program which can also be called a code, or an instruction.
  • the above-mentioned first aspect and the third aspect are caused.
  • the method in any possible implementation manner is executed, or, the method in the above second aspect and any possible implementation manner of the second aspect is executed.
  • Figure 1 is a schematic diagram of a communication system suitable for an embodiment of the present application
  • Figure 2 is a schematic flow chart of a cloud service provision method based on public cloud technology provided by an embodiment of the present application
  • Figure 3 is a schematic diagram of a system architecture suitable for embodiments of the present application.
  • Figure 4 is a schematic diagram of a process for determining real-time deduction information provided by an embodiment of the present application
  • FIG. 5 is a schematic diagram of the cloud service creation page provided by the embodiment of this application.
  • Figure 6 is a schematic diagram of a page for viewing real-time deduction information provided by an embodiment of the present application.
  • Figure 7 is a schematic diagram of the interaction between a cloud management platform and a public cloud provided by an embodiment of the present application
  • Figure 8 is another schematic flow chart of a cloud service provision method based on public cloud technology provided by an embodiment of the present application.
  • Figure 9 is a schematic block diagram of a cloud service providing device based on public cloud technology provided by an embodiment of the present application.
  • Figure 10 is a schematic block diagram of a device provided by an embodiment of the present application.
  • At least one refers to one or more, and “multiple” refers to two or more.
  • “And/or” describes the association of associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the related objects are in an “or” relationship.
  • “At least one of the following” or similar expressions thereof refers to any combination of these items, including any combination of a single item (items) or a plurality of items (items).
  • At least one of a, b, or c can represent: a, b, c; a and b; a and c; b and c; or a, b, and c.
  • a, b, c can be single or multiple.
  • Public cloud usually refers to a cloud that third-party providers provide for tenants to use. Public clouds are generally available through the Internet. The core attribute of public cloud is shared resource services.
  • Cloud service It is the increase, use and interaction mode of Internet-based related services, which usually involves the provision of dynamic, easily scalable and often virtualized resources through the Internet. Cloud services can refer to obtaining required services through the network in an on-demand and easily scalable manner. Such services can be software and Internet-related services, or other services.
  • Cloud services can also be called cloud service resources.
  • cloud services may refer to public cloud scenarios. Cloud services purchased by tenants on the public cloud.
  • Cloud services can be, for example, virtual machines (also called cloud servers), containers, bare metal servers, firewalls, or cloud disks.
  • Cloud management platform The logical functions of the cloud management platform can be divided into tenant console, computing management service, network management service, storage management service, authentication service, image management service, etc.
  • the tenant console can provide pages or application programming interfaces (APIs) to interact with tenants; the computing management service is used to manage servers running virtual machines and containers as well as bare metal servers, and the network management service is used to manage network services (such as gateways) , firewall, etc.), the storage management service is used to manage storage services (such as data bucket service), the authentication service is used to manage tenant accounts and passwords, and the image management service is used to manage virtual machine images.
  • APIs application programming interfaces
  • the cloud management platform can provide clients with access interfaces (such as pages or APIs) to the public cloud. Tenants can operate the client to remotely access the access interface, register a cloud account on the cloud management platform, and log in to the cloud management platform by entering the cloud account and password. For example, after the cloud management platform successfully authenticates the cloud account and password, the tenant can further select and purchase a virtual machine with specific specifications (virtual processor, virtual memory, virtual disk) on the cloud management platform through the client. After the purchase is successful, The cloud management platform can provide the remote login account and password of the purchased virtual machine. Tenants can remotely log in to the purchased virtual machine through the client, and install and run the tenant's applications in the virtual machine.
  • access interfaces such as pages or APIs
  • the cloud management platform is a control node that controls the physical server running the virtual machine.
  • the server where the cloud management platform runs is connected to the physical server running the virtual machine to control the physical server to manage the full life cycle of the virtual machine.
  • Cloud services can be roughly divided into on-demand resources and periodic resources according to the billing model.
  • the billing model for periodic resources is relatively fixed, and on-demand resources currently adopt the model of using first and then deducting fees.
  • billing is based on hours, that is, metering data is collected and deducted once every hour.
  • tenants can only learn about the specific deduction items by checking the bill after the deduction. For example, you can check which cloud service has deducted the amount for its metering dimension in this hour, but This billing method cannot let tenants know the deduction information in real time. For example, tenants cannot see in real time the deduction rate of which cloud service per second and/or the changes in the accumulated deduction amount every second.
  • this application provides a method and device for providing cloud services based on public cloud technology.
  • the cloud management platform can display to tenants the real-time deduction information of the fees generated after the cloud service is started by providing a real-time deduction information selection interface. , which makes it convenient for tenants to understand the real-time deduction information of the cloud services they use in real time.
  • Figure 1 is a schematic diagram of a communication system suitable for embodiments of the present application.
  • the communication system shown in Figure 1 includes a cloud server 110 and a cloud management platform server 120.
  • the public cloud runs on the cloud server 110, and the cloud management platform runs on the cloud management platform server 120.
  • the cloud server 110 and the cloud management platform server 120 may be, for example, servers, or server clusters, or other devices that can be used to implement the same or similar functions.
  • Cloud server 110 and cloud management platform server 120 can communicate with each other.
  • the public cloud on the cloud server 110 can provide cloud services for tenants
  • the cloud management platform on the cloud management platform server 120 can provide interfaces for purchasing, logging in, configuring, and using cloud services provided by the public cloud.
  • the steps executed by the cloud management platform can be understood as steps executed by the cloud management platform server; the steps executed by the public cloud can be understood as steps executed by the cloud server, which should not impose any limitations on this application. .
  • Figure 2 is a schematic flow chart of a cloud service provision method based on public cloud technology provided by an embodiment of the present application.
  • the cloud service provision method 200 based on public cloud technology may include steps 210 and 220.
  • Method 200 may be executed by the cloud management platform server, or may be executed by components (such as chips, chip systems, etc.) configured in the cloud management platform server, which are not limited in the embodiments of the present application.
  • Step 210 and step 220 are described in detail below.
  • step 210 the cloud management platform provides a real-time deduction information selection interface for cloud services.
  • the cloud service is any cloud service purchased by the tenant on the public cloud
  • the real-time deduction information selection interface can be used to obtain the real-time deduction information display requirements of the cloud service.
  • the real-time deduction information selection interface may be an API or interface, for example.
  • the cloud management platform server can provide a real-time deduction information selection API for cloud services based on the cloud management platform, so as to obtain the real-time deduction information display requirements of the cloud service through the API.
  • tenants can remotely access the API provided by the cloud management platform through the client to obtain the real-time deduction information display requirements for cloud services.
  • the cloud management platform server can provide a real-time deduction information selection interface for cloud services based on the cloud management platform, so as to obtain the real-time deduction information display requirements of the cloud service through this interface.
  • tenants can remotely access the interface provided by the cloud management platform through the client to obtain real-time deduction information display requirements for cloud services.
  • the client can access the cloud management platform through the Internet.
  • Tenants can purchase and control cloud services provided to tenants by the public cloud on the cloud management platform through accounts registered in advance on the cloud management platform.
  • a virtual machine is used as an example of a cloud service.
  • virtual machine 1, virtual machine 2, virtual machine 3 and virtual machine 4 in the figure can each be used as an example of a cloud service.
  • Tenants can remotely log in to the cloud management platform through the Internet by operating the client.
  • Tenants can remotely purchase, log in, configure and use virtual machines on the cloud management platform by operating the client.
  • a tenant creates (or purchases) a virtual machine
  • he or she can check the function settings on the page to enable estimated real-time deduction information, and select an interface based on the real-time deduction information provided by the cloud management platform to obtain the virtual machine.
  • the machine s real-time deduction information needs to be displayed.
  • step 220 the cloud management platform displays the real-time deduction information of the fees generated after the cloud service is started to the tenant according to the real-time deduction information display requirements.
  • the cloud management platform can deduct fees based on the real-time information of virtual machine 1.
  • the information display requirement is to display the real-time deduction information of the fees incurred after the virtual machine 1 is started to the tenant through the client.
  • the cloud management platform can select an interface based on the real-time deduction information, obtain the real-time deduction information display requirements of the cloud service, and then display the real-time deductions of the cloud services purchased by the tenant to the tenant based on the real-time deduction information display requirements. information so that tenants can understand the real-time deduction information of purchased cloud services in real time.
  • Step 410, step 420 and step 430 are shown in FIG. 4, and steps 410 to 430 will be described in detail below.
  • step 410 the cloud management platform obtains the measurement dimensions of the cloud service.
  • Cloud servers running public clouds can provide cloud services to tenants, and tenants can use any cloud services provided by the public cloud.
  • the cloud services provided by the public cloud and used by tenants are recorded as cloud services in this article.
  • the public cloud can determine the original data of all cloud services on the public cloud.
  • the original data of the cloud service can include but is not limited to the type of cloud service, the name of the cloud service, the identifier (ID) of the cloud service, The ID of the tenant to which the cloud service belongs, the creation time of the cloud service, the activation time of the cloud service, the metering dimension of the cloud service, the pricing method of the cloud service, the start time of the metering cycle of the cloud service, and the end time of the metering cycle of the cloud service. Etc., this application does not limit this.
  • the measurement dimensions of cloud services may include: duration, size, frequency, bandwidth, traffic, etc.
  • duration can represent the cumulative duration of cloud service use
  • size can represent the size of the cloud service used
  • times can represent the number of uses of the same cloud service
  • bandwidth can represent the bandwidth of the cloud service used
  • traffic can represent the use of cloud services. Traffic generated by the service.
  • the types of cloud services can include but are not limited to elastic compute service (ECS), elastic file service (scalable file service, SFS), elastic internet protocol (elastic internet protocol, EIP) (also called “elastic "Public IP”) and message notification service (simple message notification, SMN), etc.
  • ECS elastic compute service
  • SFS scalable file service
  • EIP elastic internet protocol
  • SMN message notification service
  • the name of the cloud service can be the name defined for the cloud service by the tenant when creating the cloud service.
  • the identifier (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.
  • the metering dimension is the default when the tenant creates the cloud service, and the tenant does not need to select the metering dimension of the cloud service.
  • ECS only supports duration as the metering dimension; for those that support multiple metering dimensions
  • tenants can choose a measurement dimension from multiple measurement dimensions when creating a cloud service.
  • SFS can support size as the measurement dimension or flow as the measurement dimension.
  • the pricing method of cloud services can be determined based on the measurement dimensions of cloud services.
  • the start time of the cloud service metering cycle and the end time of the cloud service metering cycle are automatically generated by the cloud server after each cloud service is enabled.
  • the measurement results of cloud services can be obtained by counting the usage of cloud services based on the measurement dimension.
  • the cloud service can be when the tenant creates the cloud service (or purchases the cloud service) on the public cloud, or when the tenant enables the cloud service, the cloud service is set as a cloud service that can provide estimated real-time deduction information. . This application does not limit this.
  • FIG. 5 is part of the cloud service creation page.
  • the tenant can check to enable estimated real-time deduction information on the cloud service creation page. In this way, the tenant can Tenants can view the real-time deduction information of the cloud service when using the cloud service.
  • the cloud management platform can obtain the metering dimension of the cloud service from the public cloud.
  • step 420 the cloud management platform determines the first deduction information estimation model based on the measurement dimension of the cloud service.
  • the first deduction information estimation model is a deduction information estimation model corresponding to the measurement dimension of the cloud service among multiple predefined deduction information estimation models, and each of the multiple deduction information estimation models is Each model can correspond to a measurement dimension, and each model can be used to estimate the real-time deduction information of cloud services based on the corresponding measurement dimension.
  • the cloud management platform can determine the deduction information prediction model corresponding to the measurement dimension among the multiple predefined deduction information prediction models based on the measurement dimension of the cloud service, so as to use The real-time deduction information for cloud services will be estimated later.
  • the real-time deduction information of the cloud service may include the real-time deduction rate and/or the real-time deduction amount.
  • the real-time deduction rate is the estimated deduction amount per second
  • the real-time deduction amount is the estimated current accumulated deduction amount.
  • the real-time deduction amount at the current time point is calculated based on the cumulative deduction amount per second during this period from the beginning of this deduction cycle to the current time point. It can also be understood that the deduction amount per second is also the real-time deduction rate.
  • the real-time deduction rate can be a fixed value; if the measurement dimension of the cloud service is size, during the use of the cloud service, if the The size of the cloud service remains unchanged, and the real-time deduction rate can also be a fixed value; if the measurement dimension of the cloud service is times, the real-time deduction rate will be non-zero only every time the cloud service is used.
  • the real-time deduction rate for a cloud service per second can be the amount that needs to be deducted for one use of the cloud service; if the measurement dimension of the cloud service is bandwidth, during the use of the cloud service, the real-time deduction rate can be based on the bandwidth per second.
  • real-time changes if the measurement dimension of the cloud service is traffic, during the use of the cloud service, the real-time deduction rate can be determined based on the traffic generated by using the cloud service per second.
  • step 430 the cloud management platform estimates the real-time deduction information of the cloud service through the first deduction information prediction model.
  • the cloud management platform determines the first deduction information estimation model corresponding to the measurement dimension of the cloud service, it can use the first deduction estimation model to estimate the real-time deduction information of the cloud service.
  • the cloud service charging device estimates the real-time deduction information of the cloud service through the first deduction information prediction model, which may include: the cloud management platform uses the first deduction information prediction model, Determine the real-time deduction information of the cloud service based on the measurement results of the cloud service. Among them, the measurement results are obtained by counting the usage of cloud services based on the measurement dimension.
  • the cloud management platform can use the measurement results of the cloud service as the input value of the first deduction information prediction model, and input the measurement results of the cloud service into the first deduction information prediction model, based on the first deduction information prediction model.
  • the information prediction model analyzes and processes the measurement results of the cloud service to obtain real-time deduction information of the cloud service.
  • the real-time deduction information of the cloud service may be the output data of the first deduction information prediction model.
  • the measurement dimension of the cloud service is duration or size.
  • the cloud management platform determines the real-time deduction information of the cloud service based on the measurement results of the cloud service through the first deduction information estimation model, which may include: cloud management platform
  • the first deduction information estimation model is used to determine the pricing method corresponding to the measurement dimension of the cloud service; the first deduction information estimation model is used to determine the real-time deduction information of the cloud service based on the pricing method and the measurement results of the cloud service.
  • the cloud management platform can obtain the pricing method corresponding to the duration from the public cloud through the first deduction information estimation model, for example, k yuan/hour (k is a positive number), For example, 0.36 yuan/hour, for example, the initial measurement result is 1 second.
  • the cloud management platform can convert 0.36 yuan/hour to 0.0001 yuan/second through the first deduction information estimation model, and can determine the real-time deduction for cloud services.
  • the rate is 0.0001 yuan/second
  • the current real-time deduction amount of the cloud service is 0.0001 yuan.
  • the cloud service billing device can obtain the pricing method of the cloud service and the measurement result of the cloud service from the public cloud through the first deduction information estimation model, such as the pricing of the cloud service.
  • the method includes the corresponding relationship between the size of the cloud service and the hourly deduction amount. For example, 100 gigabyte (GB) corresponds to an hourly deduction of 0.72 yuan, 200GB corresponds to an hourly deduction of 0.78 yuan, etc.
  • the measurement results of the cloud service is 100GB, then
  • the cloud management platform can convert the hourly deduction of 0.72 yuan to 0.0002 yuan/second based on the measurement result of the cloud service of 100GB. It can determine the real-time deduction rate of the cloud service as 0.0002 yuan/second, as well as the initial real-time deduction of the current cloud service.
  • the fee amount is 0.0002 yuan.
  • the measurement dimensions of the cloud service are times, bandwidth or traffic
  • the first deduction information estimation model may be trained based on historical deduction information.
  • the deduction information prediction model corresponding to the measurement dimension of frequency, the deduction information prediction model corresponding to the measurement dimension of bandwidth, and the deduction information prediction model of the measurement dimension of traffic can be based on the tenant's information in advance. Obtained by training historical deduction information.
  • these three deduction information prediction models can all be auto-regressive and moving average model (ARMA) models.
  • ARMA auto-regressive and moving average model
  • the time granularity of historical data can be at the minute level, as shown in Table 1.
  • Table 1 shows the bandwidth values corresponding to certain time points when a tenant uses cloud services. For example, at the time point of 22:42:00 on September 22, 2021 (2021.9.22 22:42:00), the corresponding bandwidth value is 5760 bits/second (second, s).
  • the interval between time points is 1 minute. You can first calculate the difference between the bandwidth values corresponding to adjacent time points to calculate the average bandwidth change rate per second, and then calculate Get the value of the corresponding bandwidth per second between two adjacent time points.
  • the corresponding bandwidth value per second is calculated from 2021.9.22 22:43:00 to 2021.9.22 22:47:00. Then use the bandwidth value corresponding to each second in the time period from 2021.9.22 22:42:00 to 2021.9.22 22:47:00 as the training data set of the ARMA model, train the ARMA model, and obtain the measurement dimension of bandwidth Corresponding deduction information estimation model.
  • the deduction information prediction model corresponding to the measurement dimension of times and the deduction information prediction model of the measurement dimension of traffic are similar to the deduction information prediction model corresponding to the measurement dimension of bandwidth.
  • the deduction corresponding to the measurement dimension is the number of times
  • the training data set of the fee information estimation model can be historical data related to the number of times a tenant uses cloud services. Use these data to train the ARMA model to obtain a deduction information estimation model corresponding to the measurement dimension of times; and the measurement dimension of traffic
  • the training data set of the corresponding deduction information estimation model can be historical data related to the traffic generated by tenants when using cloud services. Use these data to train the ARMA model to obtain a deduction information estimation model corresponding to the measurement dimension of traffic.
  • the preset initial value can be input into the ARMA model for prediction.
  • the tenant's historical deduction information is generated, and then the tenant's historical deduction information is used to pre-train the ARMA model again.
  • the tenant's historical deduction information is generated, the The more you use it, the better the prediction effect of the ARMA model will be, and the more accurate the real-time deduction information will be.
  • the method 200 further includes: the public cloud generates and sends an event notification; accordingly, the cloud management platform receives the event notification for the cloud service.
  • the event notification can be used to indicate a change in the status of the cloud service.
  • the event notification can include the type of the event, and the event is an event that triggers a change in the status of the cloud service.
  • the public cloud can provide an event notification service to send event notifications to other devices.
  • the cloud management platform can subscribe to the event notification service of the public cloud.
  • the public cloud determines that the status of the cloud service has changed, it can send an event notification to the cloud management platform, and accordingly, the cloud management platform can receive the event notification from the public cloud.
  • the types of events include: cloud service creation events, cloud service deletion events, cloud service startup events, cloud service shutdown events, cloud service expansion events, and cloud service reduction events.
  • the create cloud service event can be understood as the event of creating the cloud service
  • the delete cloud service event can be understood as the event of releasing the cloud service
  • the cloud service start event can be understood as the event of enabling the cloud service
  • the cloud service shutdown event can be understood as An event that shuts down a cloud service.
  • a cloud service expansion event can be understood as an event that increases the total capacity of the cloud service.
  • a cloud service shrink event can be understood as an event that decreases the total capacity of the cloud service.
  • the cloud server can send event notifications to the cloud management platform that has subscribed to its event notification service, and accordingly, the cloud management platform receives event notifications from the public cloud.
  • method 200 may also include: when the cloud management platform determines that the event affects the real-time deduction rate of the cloud service, update the metering result of the cloud service.
  • the cloud management platform when it receives an event notification, it can analyze based on the type of the event in the event notification, and if it is determined that the event affects the real-time deduction rate of the cloud service, update the metering result of the cloud service. , and input the updated measurement results into the first deduction information estimation model to estimate real-time deduction information again.
  • the type of event in the event notification is a file upload event
  • the measurement dimension of the cloud service is duration
  • the real-time deduction rate of the cloud service remains unchanged and is not affected by the file upload event.
  • the cloud service does not need to be updated.
  • measurement results
  • the type of event in the event notification is a file upload event
  • the measurement dimension of the cloud service is size.
  • the real-time deduction rate of the cloud service will be affected by the file upload event.
  • the cloud service can be updated. measurement results.
  • the method 200 also includes: taking a preset time period as a period, the cloud management platform obtains monitoring data of the cloud service.
  • the monitoring data includes the measurement dimension and the monitoring value.
  • the monitoring value is the cloud service collected for the measurement dimension in the current period. usage value; based on monitoring data, adjust the real-time deduction information of the cloud service.
  • the public cloud can determine the original data including measurement dimensions of all cloud services on the public cloud.
  • the cloud management platform can obtain the original data of the cloud service from the public cloud at a preset time period. .
  • the period is preset and can be a minute-level duration, for example, 1 minute, 2 minutes, 5 minutes, 10 minutes, etc., which is not limited in this application.
  • the cloud management platform collects monitoring data of cloud services from the public cloud.
  • the monitoring data includes but is not limited to measurement dimensions and monitoring values.
  • the monitoring data may also include monitoring collection time, etc.
  • the measurement dimension of the cloud service is bandwidth
  • the monitoring value corresponding to the bandwidth can be the accurate bandwidth value generated on the network card.
  • the collected accurate bandwidth value is input into the first deduction information estimation model, and the estimated Display the real-time deduction information for the next second, and adjust the currently displayed real-time deduction information to the real-time deduction information estimated based on the monitoring data.
  • the cycle is 1 minute, that is, the real-time deduction information is adjusted every minute based on monitoring data.
  • the method 200 may also include: the cloud management platform adjusts the real-time deduction information of the cloud service based on the actual amount that should be deducted, and the actual amount that should be deducted is the cloud service corresponding to the current deduction cycle. The accumulated deduction amount.
  • the current cloud server deducts fees once every hour.
  • the deduction cycle is 1 hour.
  • An actual amount that should be deducted can be obtained every hour.
  • the actual amount that should be deducted is Debits may be made to the tenant's account.
  • the cloud management platform can adjust the current estimated real-time deduction amount to the actual amount that should be deducted based on the actual amount that should be deducted every hour, and/or use the actual amount that should be deducted to be the same as the previous second.
  • the pre-displayed real-time deduction amount is the difference, and the current estimated real-time deduction rate is adjusted to the difference.
  • the cloud management platform can also obtain the difference between the real-time deduction rate before and after the adjustment based on the actual amount that should be deducted; when the difference in the real-time deduction rate is less than the preset first threshold, enable The function of real-time deduction based on the real-time deduction rate.
  • the cloud management platform can adjust the real-time deduction rate of the cloud service every hour based on the actual amount that should be deducted, and the cloud management platform can calculate the difference between the real-time deduction rate before adjustment and after adjustment.
  • the cloud management platform can enable the function of real-time deductions based on the real-time deduction rate. That is to say, the cloud management platform can perform deductions once per second based on the estimated real-time deduction rate.
  • the cloud management platform can also obtain the difference between the real-time deduction amount before and after the adjustment based on the actual deduction amount; when the difference between the real-time deduction amount is less than the preset second threshold, enable The function of real-time deduction based on the real-time deduction rate.
  • the cloud management platform can adjust the real-time deduction amount of the cloud service every hour based on the actual deduction amount, and the cloud management platform can calculate the difference between the real-time deduction amount before the adjustment and the adjusted real-time deduction amount, and when the difference is less than Under the preset second threshold, the cloud management platform can enable the function of real-time deductions based on the real-time deduction rate. That is to say, the cloud management platform can perform deductions once per second based on the estimated real-time deduction rate.
  • the cloud management platform can also obtain the difference between the real-time deduction rate before and after the adjustment based on the actual amount that should be deducted, and obtain the difference between the real-time deduction amount before and after the adjustment based on the actual amount that should be deducted. value; when the difference is less than the preset first threshold and the difference in the real-time deduction amount is less than the preset second threshold, enable the function of real-time deduction based on the real-time deduction rate.
  • the cloud management platform can adjust the real-time deduction rate and real-time deduction amount of the cloud service every hour based on the actual deduction amount, and the cloud management platform can calculate the difference between the real-time deduction rate before adjustment and the adjustment after adjustment.
  • the difference in the real-time deduction amount is determined when the difference in the real-time deduction rate is less than the preset first threshold and the difference in the real-time deduction amount is less than the preset If the second threshold is set, the cloud management platform can enable the function of real-time deduction based on the real-time deduction rate. That is to say, the cloud management platform can perform deduction once per second based on the estimated real-time deduction rate.
  • first threshold and/or second threshold may be the default threshold of the cloud management platform, or may be the threshold set by the tenant itself, which is not limited in this application. It should also be noted that the first threshold and the second threshold may have the same or different sizes, and this application does not limit this.
  • the cloud management platform when the cloud management platform deducts fees once per second based on the estimated real-time deduction rate, the cloud management platform can also deduct fees for the tenants to which the cloud service belongs every hour based on the actual deduction amount and the real-time deduction amount. The account balance is adjusted.
  • the cloud management platform can calculate the difference between the actual deduction amount and the real-time deduction amount.
  • the cloud management platform can calculate the difference between the actual deduction amount and the real-time deduction amount. The difference is subtracted from the account balance; when the actual amount that should be deducted is less than the real-time deduction amount, the cloud management platform can add this difference to the account balance of the tenant to which the cloud service belongs.
  • the original data of cloud services including the measurement dimension obtained from the public cloud based on the above technical solution are analyzed.
  • Get real-time billing information for cloud services the client can present the estimated real-time deduction information to the tenant, so that the tenant can understand the estimated real-time deduction information in real time.
  • the real-time estimated deduction information of the cloud service can be adjusted based on the monitoring data and/or the actual amount that should be deducted, making the real-time estimated deduction information of the cloud service more accurate.
  • real-time deductions can be made to the tenant's account based on the real-time estimated deduction rate, so as to achieve the effect of real-time deductions based on the tenant's usage of cloud services.
  • FIG. 6 is a schematic diagram of a page for viewing real-time deduction information provided by an embodiment of the present application.
  • tenants can view the real-time deduction information of the cloud service on the client's View Real-time Deduction Information page.
  • Figure 6 shows two cloud services with cloud service names ESC01 and ESC02 respectively.
  • tenants can view the real-time deduction rate and real-time deduction amount of ESC01, and can also view The real-time deduction rate and real-time deduction amount of ESC02 can also be viewed.
  • the entire cloud service type of ESC to which ESC01 and ESC02 belong includes several cloud services, as well as the total real-time deduction rate and real-time deduction amount of this cloud service type. .
  • FIG. 6 is only exemplary and should not limit the present application in any way.
  • the client page can also present the change curve of real-time deduction information to tenants, so that tenants can understand the peaks and valleys of real-time deduction information generated by using cloud services, and then can use real-time deduction information based on real-time deduction information.
  • the peak and valley values of the deduction information are used to infer the peak and valley periods of the tenant's business, so that the tenant can better understand the business situation.
  • Figure 7 is a schematic diagram of the interaction between a cloud management platform and a public cloud provided by an embodiment of the present application.
  • the cloud management platform can include a raw data acquisition module, a monitoring data acquisition module, and an event acquisition module; among which, the event acquisition module can also include message middleware, filtering sub-modules, and event data storage sub-modules.
  • the estimation module can include a duration-based deduction information estimation model, a size-based deduction information estimation model, a frequency-based deduction information estimation model, a bandwidth-based deduction information estimation model, and a traffic-based deduction information estimation model.
  • Information prediction model can be included in the cloud management platform.
  • the original data acquisition module can be used to support the cloud management platform to obtain the original data of the cloud service; the estimation module can be used to support the cloud management platform to determine the first deduction information estimation model based on the measurement dimension of the cloud service, and The real-time deduction information of the cloud service is estimated through the first deduction information estimation model.
  • the message middleware in the event acquisition module can be used to support the cloud management platform to receive event notifications from the public cloud.
  • the filtering sub-module can be used to support the cloud management platform in determining that the events in the received event notifications are real-time deductions that affect the cloud service. In the case of charging rate, the measurement results of the cloud service are updated, and the updated measurement results are stored in the event data storage sub-module.
  • the monitoring data acquisition module can be used to support the cloud management platform to obtain monitoring data of cloud services based on a preset time period.
  • the billing module can be used to support the cloud management platform to perform billing based on the real-time deduction information generated by the estimation module; the billing module can also be used to support the cloud management platform to adjust the real-time deduction information of the cloud service based on the actual deduction amount. ; The billing module can also be used to support the cloud management platform to adjust the account balance of the tenant to which the cloud service belongs based on the actual deduction amount and the real-time deduction amount every hour.
  • Figure 8 is another schematic flow chart of cloud service provision based on public cloud technology provided by an embodiment of the present application.
  • the public cloud can create a cloud service.
  • the public cloud can create cloud services in response to tenants' operations to create cloud services.
  • the public cloud may generate an event notification.
  • the public cloud can provide event notification services, and the cloud management platform can subscribe to the event notification service.
  • the public cloud determines that the event for creating a cloud service is an event that triggers a change in the status of the cloud service, and the public cloud can generate an event notification for creating the cloud service.
  • the public cloud may send an event notification to the cloud management platform.
  • the cloud management platform can receive event notifications from the public cloud based on the event acquisition module.
  • the cloud management platform may obtain original data from the public cloud based on the original data acquisition module.
  • the event acquisition module analyzes the event notification of the cloud service, when it is determined that the creation event of the cloud service is an event that affects the billing rate of the cloud service, the event acquisition module can obtain it from the public cloud with the assistance of the original data acquisition module.
  • the original data of the first data including measurement dimensions.
  • the event acquisition module can save the measurement results of the cloud service. It should be understood that before the cloud service is created, the event data storage module of the event acquisition module does not store the measurement results of the cloud service. After obtaining the original data of the cloud service, the event acquisition module can save the measurement results of the cloud service in In the event data storage module, this is equivalent to updating the measurement results of the cloud service.
  • the cloud management platform may obtain original data from the original data acquisition module based on the prediction module.
  • the prediction module of the cloud management platform can estimate the real-time deduction information of the cloud service based on the original data.
  • the cloud management platform analyzes and processes the original data of cloud services based on the prediction module, and estimates the real-time deduction information of cloud services.
  • the public cloud may generate monitoring data periodically.
  • the public cloud can generate monitoring data every 1 minute.
  • the cloud management platform can obtain monitoring data from the public cloud based on the monitoring data acquisition module.
  • the cloud management platform can periodically obtain monitoring data of cloud services from the public cloud based on the monitoring data acquisition module. For example, obtain monitoring data of cloud services from the public cloud in a 1-minute cycle.
  • the cloud management platform can obtain monitoring data from the monitoring data acquisition module based on the prediction module.
  • the estimation module of the cloud management platform can adjust the real-time deduction information based on the monitoring data.
  • the cloud management platform can analyze and process the monitoring data of cloud services based on the prediction module, and adjust the real-time deduction information of cloud services. It should be understood that the cloud management platform adjusts the real-time deduction information of the cloud service every minute based on the monitoring data of the cloud service.
  • the public cloud may generate metering results periodically.
  • the public cloud can generate metering results every 1 hour.
  • the cloud management platform may obtain the metering result from the public cloud based on the billing module.
  • the cloud management platform can obtain the metering results of cloud services from the public cloud based on the billing module. For example, obtain the metering results of cloud services from the public cloud on a 1-hour basis.
  • the billing module of the cloud management platform can generate the actual amount that should be deducted based on the measurement results.
  • the billing module can generate the actual amount that should be deducted for a billing cycle of the cloud service based on the measurement results of the cloud service obtained from the public cloud.
  • the cloud management platform may obtain the actual amount that should be deducted from the billing module based on the estimation module.
  • the estimation module of the cloud management platform may adjust the real-time deduction information based on the actual amount that should be deducted.
  • the cloud management platform adjusts the real-time deduction information of the cloud service every hour based on the actual deduction amount of the cloud service.
  • Figure 9 is a schematic block diagram of another cloud service providing device based on public cloud technology provided by an embodiment of the present application.
  • the cloud service providing device 900 based on public cloud technology may include a processing module 910 and a transceiver module 920 .
  • the cloud service providing device 900 based on public cloud technology can be used to execute steps of a cloud management platform or public cloud.
  • the cloud service providing device 900 based on public cloud technology may be, for example Cloud management platform server, in which the processing module 910 can be used to provide a real-time deduction information selection interface for cloud services.
  • Cloud services are cloud services purchased by tenants on the cloud management platform.
  • the real-time deduction information selection interface is used to obtain cloud services.
  • the real-time deduction information display requirement of the service; the processing module 910 and the transceiver module 920 may cooperate to display the real-time deduction information of the fees generated after the cloud service is started to the tenant according to the real-time deduction information display requirement.
  • determining the real-time deduction information includes: the transceiver module 920 can also be used to obtain the measurement dimension of the cloud service; the processing module 910 can be used to determine the first deduction information estimation model based on the measurement dimension of the cloud service.
  • the fee information estimation model is the deduction information estimation model corresponding to the measurement dimension of the cloud service among the multiple predefined deduction information estimation models. Each model in the multiple deduction information estimation models corresponds to a measurement. Dimension, each model is used to estimate the real-time deduction information of the cloud service based on the corresponding measurement dimension; through the first deduction information estimation model, the real-time deduction information of the cloud service is estimated.
  • the measurement dimensions include: duration, size, frequency, bandwidth or traffic; where duration represents the cumulative duration of cloud service use, size represents the size of the cloud service used, and frequency represents the use of cloud services. The number of times the same cloud service is used, bandwidth represents the bandwidth of the cloud service used, and traffic represents the traffic generated by using the cloud service.
  • 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 the estimated amount that should be deducted per second, and the real-time deduction amount is the estimated amount that should be deducted per second.
  • the estimated current accumulated deduction amount is the estimated current accumulated deduction amount.
  • the processing module 910 may be configured to determine the real-time deduction information of the cloud service based on the measurement results of the cloud service through the first deduction information estimation model, and the measurement results are based on the measurement dimensions. Obtained from statistics on cloud service usage.
  • the measurement dimension is duration or size
  • the processing module 910 may be configured to determine the pricing method corresponding to the measurement dimension of the cloud service through the first deduction information estimation model;
  • the deduction information estimation model determines the real-time deduction information of the cloud service based on the pricing method and the measurement results of the cloud service.
  • the measurement dimension is times, bandwidth or traffic
  • the first deduction information prediction model is trained based on historical deduction information.
  • the transceiver module 920 can also be used to receive event notifications for cloud services.
  • the event notifications are used to indicate changes in the status of the cloud services.
  • the event notifications include the type of the event.
  • the event is to trigger the cloud service. Events in which the status of a service changes.
  • the types of events include: cloud service creation events, cloud service deletion events, cloud service startup events, cloud service shutdown events, cloud service expansion events, and cloud service reduction events.
  • the processing module 910 may also be configured to update the metering result of the cloud service when it is determined that the event affects the real-time deduction rate of the cloud service.
  • the transceiver module 920 can also be used to obtain monitoring data of the cloud service with a preset time period as a period.
  • the monitoring data includes the measurement dimensions and monitoring values.
  • the monitoring values are within the current period.
  • the processing module 910 can also be used to adjust the real-time deduction information of the cloud service based on the monitoring data.
  • the processing module 910 can also be used to adjust the real-time deduction information of the cloud service based on the actual amount that should be deducted, and the actual amount that should be deducted is the cloud service corresponding to the current deduction period. The accumulated deduction amount.
  • the cloud service providing device 900 based on public cloud technology may be a cloud server, where the processing module 910 It can be used to generate event notifications.
  • the event notifications are used to indicate changes in the status of the cloud service.
  • the event notifications include the type of the event.
  • the events are events that trigger changes in the status of the cloud service.
  • the transceiver module 920 can be used to send event notifications.
  • the types of events include: cloud service creation events, cloud service deletion events, cloud service startup events, cloud service shutdown events, cloud service expansion events, and cloud service reduction events.
  • FIG 10 is a schematic block diagram of a device provided by an embodiment of the present application.
  • the device 1000 can be used to implement the functions of the cloud management platform in Figure 2, Figure 4 or Figure 8 or the public cloud in Figure 8.
  • the device 1000 may be a system on a chip.
  • the chip system may be composed of chips, or may include chips and other discrete devices.
  • the device 1000 may include at least one processor 1010 for implementing the functions of the cloud management platform in Figures 2, 4 and 8 or the public cloud in Figure 8 provided by the embodiments of this application.
  • the device 1000 when the device 1000 is used to implement the functions of the cloud management platform in Figures 2 and 4, the device 1000 can be a cloud management platform server, and the processor 1010 can be used to provide a real-time deduction information selection interface for cloud services, Cloud services are cloud services purchased by tenants on the cloud management platform.
  • the real-time deduction information selection interface is used to obtain the real-time deduction information display requirements of the cloud service; based on the real-time deduction information display requirements, the cloud service generated after startup is displayed to the tenant. Real-time deduction information of fees.
  • Real-time deduction information of fees for details, please refer to the detailed description in the method example and will not be repeated here.
  • the device 1000 when the device 1000 is used to implement the functions of the public cloud in Figure 8, the device 1000 can be a cloud server, and the processor 1010 can be used to generate an event notification.
  • the event notification is used to indicate a change in the status of the cloud service.
  • the event The notification includes the type of event, which is an event that triggers a change in the status of the cloud service; an event notification is sent.
  • the type of event which is an event that triggers a change in the status of the cloud service
  • an event notification is sent.
  • the apparatus 1000 may also include at least one memory 1020 for storing program instructions and/or data.
  • Memory 1020 and processor 1010 are coupled.
  • the coupling in the embodiment of this application is an indirect coupling or communication connection between devices, units or modules, which may be in electrical, mechanical or other forms, and is used for information interaction between devices, units or modules.
  • the processor 1010 may cooperate with the memory 1020.
  • Processor 1010 may execute program instructions stored in memory 1020 . At least one of the at least one memory may be included in the processor.
  • the device 1000 may also include a communication interface 1030 for communicating with other devices through a transmission medium, so that the device 1000 can communicate with other devices.
  • a communication interface 1030 for communicating with other devices through a transmission medium, so that the device 1000 can communicate with other devices.
  • the communication interface 1030 may be, for example, a transceiver, an interface, a bus, a circuit, or a device capable of implementing transceiver functions.
  • the processor 1010 can use the communication interface 1030 to send and receive data and/or information, and be used to implement the method executed by the cloud management platform described in this embodiment, or to implement the method executed by the public cloud described in this embodiment. method.
  • connection medium between the processor 1010, the memory 1020 and the communication interface 1030 is not limited in the embodiment of the present application.
  • the processor 1010, the memory 1020 and the communication interface 1030 are connected through a bus 1040.
  • the bus 1040 is represented by a thick line in FIG. 10 , and the connection methods between other components are only schematically illustrated and not limited thereto.
  • the bus can be divided into address bus, data bus, control bus, etc. For ease of presentation, only one thick line is used in Figure 10, but it does not mean that there is only one bus or one type of bus.
  • This application also provides a chip system, which includes at least one processor and is used to implement the methods executed by the cloud management platform described in the embodiments corresponding to Figures 2, 4 and 8.
  • the function, or, is used to implement the functions involved in the method performed by the public cloud described in the embodiment corresponding to Figure 8, for example, receiving or processing the data and/or information involved in the above method.
  • the chip system further includes a memory, the memory is used to store program instructions and data, and the memory is located within the processor or outside the processor.
  • the chip system can be composed of chips or include chips and other discrete devices.
  • the computer program product includes: a computer program (which can also be called a code, or an instruction).
  • a computer program which can also be called a code, or an instruction.
  • the computer program When the computer program is run, it causes the computer to execute the steps shown in Figures 2, 4 and 4.
  • This application also provides a computer-readable storage medium that stores a computer program (which may also be called a code, or an instruction).
  • a computer program which may also be called a code, or an instruction.
  • the processor in the embodiment of the present application may be an integrated circuit chip with signal processing capabilities.
  • each step of the above method embodiment can be completed through an integrated logic circuit of hardware in the processor or instructions in the form of software.
  • the above-mentioned processor may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other processors.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • programmed logic devices discrete gate or transistor logic devices, discrete hardware components.
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.
  • the steps of the method disclosed in conjunction with the embodiments of the present application can be directly implemented by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other mature storage media in this field.
  • the storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.
  • non-volatile memory may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.
  • non-volatile memory can be read-only memory (ROM), programmable ROM (PROM), erasable programmable read-only memory (erasable PROM, EPROM), electrically removable memory. Erase electrically programmable read-only memory (EPROM, EEPROM) or flash memory.
  • Volatile memory can be random access memory (RAM), which is used as an external cache.
  • RAM static random access memory
  • DRAM dynamic random access memory
  • SDRAM synchronous dynamic random access memory
  • double data rate SDRAM double data rate SDRAM
  • DDR SDRAM double data rate SDRAM
  • ESDRAM enhanced synchronous dynamic random access memory
  • SLDRAM synchronous link dynamic random access memory
  • direct rambus RAM direct rambus RAM
  • unit may be used to refer to computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application can be integrated into one processing unit, each unit can exist physically alone, or two or more units can be integrated into one unit.
  • each functional unit may be implemented in whole or in part by software, hardware, firmware, or any combination thereof.
  • software When implemented using software, it 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).
  • programs When the computer program instructions (program) are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part.
  • the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
  • the computer instructions may be stored in or transmitted from one computer-readable storage medium to another, e.g., the computer instructions may be transferred from a website, computer, server, or data center Transmission to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means.
  • 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 one or more available media integrated.
  • the available media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, digital video discs, DVDs), or semiconductor media (eg, solid state disks, SSDs) )wait.
  • the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application.
  • the aforementioned storage media include: U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

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Abstract

本申请提供基于公有云技术的云服务提供方法和装置，涉及云服务领域。该方法包括：云管理平台提供针对云服务的实时扣费信息选择接口，云服务为租户在云管理平台上所购买的云服务，实时扣费信息选择接口用于获取云服务的实时扣费信息显示需求；云管理平台根据实时扣费信息显示需求向租户显示云服务在启动后产生的费用的实时扣费信息。基于实时扣费信息选择接口，云管理平台可以获取到云服务的实时扣费信息显示需求，进而可以向租户显示租户所购买的云服务的实时扣费信息，以使得租户可以实时地了解所购买的云服务的实时扣费信息。

Description

基于公有云技术的云服务提供方法和装置
本申请要求于2022年03月16日提交中国国家知识产权局、申请号为202210260002.9、申请名称为“基于公有云技术的云服务提供方法和装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及云服务领域，尤其涉及基于公有云技术的云服务提供方法和装置。
背景技术
随着云服务的发展，越来越多的企业将业务迁移到云上，云服务的计费也成为了企业的互联网技术(internet technology，IT)成本中的关注重点。
在目前大多云厂商提供的计费模式中，按需资源的计费模式都是按照小时计费的，也就是每小时统计一次计量数据，进行一次扣费。在这种计费模式中，租户只能在扣费后通过查看账单来了解具体的扣费信息，无法实时地了解扣费信息。
发明内容
本申请提供基于公有云技术的云服务提供方法和装置，以期向租户呈现云服务的实时预估扣费信息。
第一方面，本申请提供一种基于公有云技术的云服务提供方法，该方法可以由云管理平台来执行，或者，也可以由配置在云管理平台中的部件(如芯片、芯片系统等)等执行，本申请实施例对此不作限定。
示例性地，该方法包括：云管理平台提供针对云服务的实时扣费信息选择接口，云服务为租户在云管理平台上所购买的云服务，实时扣费信息选择接口用于获取云服务的实时扣费信息显示需求；云管理平台根据实时扣费信息显示需求向租户显示云服务在启动后产生的费用的实时扣费信息。
基于上述方案，基于实时扣费信息选择接口，云管理平台可以获取到云服务的实时扣费信息显示需求，进而可以向租户显示租户所购买的云服务的实时扣费信息，以便于租户可以实时地了解所购买的云服务的实时扣费信息。
结合第一方面，在某些可能的实现方式中，确定实时扣费信息包括：云管理平台获取云服务的计量维度；云管理平台基于云服务的计量维度确定第一扣费信息预估模型，第一扣费信息预估模型是预定义的多个扣费信息预估模型中与云服务的计量维度对应的扣费信息预估模型，多个扣费信息预估模型中的每个模型对应于一个计量维度，每个模型用于基于所对应的计量维度预估云服务的实时扣费信息；云管理平台通过第一扣费信息预估模型，预估云服务的实时扣费信息。
在上述方案中，预先定义了多种与不同的计量维度对应的扣费信息预估模型，通过与云服务的计量维度对应的第一扣费信息预估模型，对从公有云获取到的原始数据 进行分析，由于该原始数据中包括了云服务相关的数据，故可以预估云服务的实时扣费信息，从而可以方便租户实时地了解所使用的云服务的实时扣费信息。
结合第一方面，在某些可能的实现方式中，计量维度包括：时长、大小、次数、带宽或流量；其中，时长表示使用同一云服务的累计时长，大小表示所使用的云服务的大小，次数表示对同一云服务的使用次数，带宽表示所使用的云服务的带宽，流量表示使用云服务产生的流量。
可以对不同计量维度的云服务的实时扣费信息进行预估，具有较好普适性。
结合第一方面，在某些可能的实现方式中，实时扣费信息包括实时扣费速率和/或实时扣费金额，实时扣费速率为预估的每秒应扣费金额，实时扣费金额为预估的当前累计的扣费金额。
租户可以实时地了解所使用的云服务的实时扣费速率和/或实时扣费金额。
结合第一方面，在某些可能的实现方式中，云管理平台通过第一扣费信息预估模型，预估云服务的实时扣费信息，包括：云管理平台通过第一扣费信息预估模型，基于云服务的计量结果确定云服务的实时扣费信息，计量结果是基于计量维度对云服务的使用情况进行统计得到的。
可选地，计量维度为时长或大小，通过第一扣费信息预估模型，基于云服务的计量结果确定云服务的实时扣费信息，包括：通过第一扣费信息预估模型确定与云服务的计量维度对应的计价方式；云管理平台通过第一扣费信息预估模型，基于计价方式和云服务的计量结果，确定云服务的实时扣费信息。
可选地，计量维度为次数、带宽或流量，第一扣费信息预估模型是根据历史的扣费信息训练得到的。
结合第一方面，在某些可能的实现方式中，该方法还包括：接收针对所述云服务的事件通知，事件通知用于指示云服务的状态发生变化，该事件通知包括事件的类型，该事件为触发云服务的状态发生变化的事件。
结合第一方面，在某些可能的实现方式中，该方法还包括：在确定事件为影响云服务的实时扣费速率的情况下，更新云服务的计量结果。
在确定事件为影响云服务的实时扣费速率的情况下，更新云服务的计量结果，基于更新后的计量结果重新预估云服务的实时扣费金额，以减小预估的实时扣费金额与实际应扣费金额的误差。
结合第一方面，在某些可能的实现方式中，该方法还包括：以预设时长为周期，获取云服务的监控数据，监控数据包括所述计量维度及监控值，监控值是当前周期内针对计量维度采集到的对云服务的使用值；基于监控数据，调整云服务的实时扣费信息。
根据云服务的监控数据对云服务的实时扣费信息进行周期性地调整，以减小预估的实时扣费金额与实际应扣费金额的误差。
结合第一方面，在某些可能的实现方式中，该方法还包括：基于实际应扣费金额，调整云服务的实时扣费信息，实际应扣费金额是当前扣费周期内云服务所对应的累计扣费金额。
根据实际应扣费金额对云服务的实时扣费信息进行周期性地调整，以减小预估的 实时扣费金额与实际应扣费金额的误差。
第二方面，本申请提供一种基于公有云技术的云服务提供方法，该方法可以由公有云来执行，或者，也可以由公有云中的部件(如芯片、芯片系统等)等执行，本申请实施例对此不作限定。
示例性地，该方法包括：公有云生成事件通知，事件通知用于指示云服务的状态发生变化，事件通知包括事件的类型，事件为触发所述云服务的状态发生变化的事件；公有云发送事件通知。
基于上述方案，可以使得云管理平台能够及时地通过从公有云接收到的事件通知了解云服务的状态变化，以便于更好地预估云服务的实时扣费信息。
结合第一方面或第二方面，在某些可能的实现方式中，事件的类型包括：创建云服务事件、删除云服务事件、云服务启动事件、云服务关闭事件、云服务扩容事件和云服务缩容事件。
因此，可以通过事件通知，及时地了解云服务的状态变化，以便于更好地预估云服务的实时扣费信息。
第三方面，本申请提供一种基于公有云技术的云服务提供装置，该装置可用于实现上述第一方面及第一方面任意一种可能的实现方式中的方法。该装置包括用于执行上述方法的相应的模块。该装置包括的模块可以通过软件和/或硬件方式实现。
第四方面，本申请提供了一种基于公有云技术的云服务提供装置，该装置包括处理器。该处理器与存储器耦合，可用于执行存储器中的计算机程序，以实现上述第一方面及第一方面任意一种可能的实现方式中的方法。
可选地，该装置还包括存储器。
可选地，该装置还包括通信接口，处理器与通信接口耦合。
第五方面，本申请提供一种云端服务器，该云端服务器可用于实现上述第二方面及第二方面任意一种可能的实现方式中的方法。该云端服务器包括用于执行上述方法的相应的模块。该云端服务器包括的模块可以通过软件和/或硬件方式实现。
第六方面，本申请提供了一种云端服务器，该云端服务器包括处理器。该处理器与存储器耦合，可用于执行存储器中的计算机程序，以实现上述第二方面及第二方面任意一种可能的实现方式中的方法。
可选地，该云端服务器还包括存储器。
可选地，该云端服务器还包括通信接口，处理器与通信接口耦合。
第七方面，本申请提供了一种芯片系统，该芯片系统包括至少一个处理器，用于支持实现上述第一方面及第一方面任意一种可能的实现方式中所涉及的功能，或，用于支持实现上述第二方面及第二方面任意一种可能的实现方式中所涉及的功能，例如，获取或处理上述方法中所涉及的数据和/或信息。
在一种可能的设计中，所述芯片系统还包括存储器，所述存储器用于保存程序指令和数据，存储器位于处理器之内或处理器之外。
该芯片系统可以由芯片构成，也可以包含芯片和其他分立器件。
第八方面，本申请提供了一种计算机可读存储介质，所述计算机存储介质上存储有计算机程序(也可以称为代码，或指令)，当所述计算机程序在被处理器运行时， 使得上述第一方面及第一方面任意一种可能的实现方式中的方法被执行，或，使得上述第二方面及第二方面任意一种可能的实现方式中的方法被执行。
第九方面，本申请提供了一种计算机程序产品，所述计算机程序产品包括：计算机程序(也可以称为代码，或指令)，当所述计算机程序被运行时，使得上述第一方面及第一方面任意一种可能的实现方式中的方法被执行，或，使得上述第二方面及第二方面任意一种可能的实现方式中的方法被执行。
应当理解的是，本申请的第三方面至第九方面与本申请的第一方面和第二方面的技术方案相对应，各方面及对应的可行实施方式所取得的有益效果相似，不再赘述。
附图说明
图1是适用于本申请实施例的通信系统的示意图；
图2是本申请实施例提供的一种基于公有云技术的云服务提供方法的示意性流程图；
图3是适用于本申请实施例的一种系统架构的示意图；
图4是本申请实施例提供的一种确定实时扣费信息流程示意图；
图5是本申请实施例提供的云服务创建页面的示意图；
图6是本申请实施例提供的查看实时扣费信息页面的示意图；
图7是本申请实施例提供的一种云管理平台与公有云交互的示意图；
图8是本申请实施例提供的一种基于公有云技术的云服务提供方法的又一示意性流程图；
图9是本申请实施例提供的一种基于公有云技术的云服务提供装置的示意性框图；
图10是本申请实施例提供的一种装置的示意性框图。
具体实施方式
下面将结合附图，对本申请实施例中的技术方案进行描述。
需要说明的是，本申请实施例中，“至少一种”是指一种或者多种，“多个”是指两个或两个以上。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B的情况，其中A，B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。“以下至少一项(个)”或其类似表达，是指的这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b，或c中的至少一项(个)，可以表示：a，b，c；a和b；a和c；b和c；或a和b和c。其中a，b，c可以是单个，也可以是多个。
首先对本申请中涉及到的术语作简单说明。
1、公有云：通常指第三方提供商为租户提供的能够使用的云，公有云一般可通过互联网使用。公有云的核心属性是共享资源服务。
2、云服务：是基于互联网的相关服务的增加、使用和交互模式，通常涉及通过互联网来提供动态易扩展且经常是虚拟化的资源。云服务可以指通过网络以按需、易扩展的方式获得所需服务。这种服务可以是软件和互联网相关服务，也可是其他服务。
云服务也可以称为云服务资源。在本申请实施例中，云服务可以指公有云场景下， 租户在公有云上所购买的云服务。
云服务例如可以是虚拟机(也可以称为云服务器)、容器、裸金属服务器、防火墙或云盘等。
3、云管理平台：云管理平台的逻辑功能可以划分为租户控制台、计算管理服务、网络管理服务、存储管理服务、鉴权服务、镜像管理服务等。租户控制台可以提供页面或应用程序接口(application programming interface，API)与租户交互；计算管理服务用于管理运行虚拟机和容器的服务器以及裸金属服务器，网络管理服务用于管理网络服务(如网关、防火墙等)，存储管理服务用于管理存储服务(如数据桶服务)，鉴权服务用于管理租户的账号密码，镜像管理服务用于管理虚拟机镜像。
云管理平台可以为客户端提供访问公有云的访问接口(如页面或API)。租户可以操作客户端远程接入访问接口，在云管理平台上注册云账号，通过输入云账号和密码来登录云管理平台。例如，云管理平台对云账号和密码鉴权成功后，租户可进一步通过客户端在云管理平台上选择并购买特定规格(虚拟处理器、虚拟内存、虚拟磁盘)的虚拟机，购买成功后，云管理平台可以提供所购买的虚拟机的远程登录账号和密码，租户可以通过客户端远程登录到所购买的虚拟机，在该虚拟机中安装并运行租户的应用。
云管理平台是对运行虚拟机的物理服务器进行控制的控制节点，云管理平台所运行在的服务器与运行虚拟机的物理服务器相连接，以控制物理服务器对虚拟机进行全生命周期管理。
随着云服务的发展，越来越多的企业将业务迁移到云上，云服务的计费也成为了企业的IT成本中的关注重点。当前，各个云厂商提供的计费模式基本一致，云服务按照计费模式大致可以分为按需资源和包周期资源。其中，包周期资源的计费模式较为固定，按需资源当前都是采用先使用后扣费的模式。
在目前大多云厂商提供的按需资源的计费模式中，都是按照小时计费的，也就是每小时统计一次计量数据，进行一次扣费。在这种计费模式中，租户只能在扣费后通过查看账单来了解具体的扣费项，例如，可以查看哪个云服务针对其计量维度在这一小时内的扣费金额是多少，但这种计费方式无法实时地让租户了解扣费信息，例如，租户无法实时地看到哪个云服务每秒的扣费速率和/或每过一秒累计的扣费金额的变化情况。
针对上述问题，本申请提供一种基于公有云技术的云服务提供方法和装置，云管理平台通过提供实时扣费信息选择接口，可以向租户显示云服务在启动后产生的费用的实时扣费信息，从而可以方便租户实时地了解所使用的云服务的实时扣费信息。
图1是适用于本申请实施例的通信系统的示意图。
如图1所示，图1示出的通信系统中包括云端服务器110和云管理平台服务器120。云端服务器110上运行有公有云，云管理平台服务器120上运行有云管理平台。云端服务器110和云管理平台服务器120例如可以是服务器，或服务器集群，也可以是其他可用于实现相同或相似功能的设备。云端服务器110与云管理平台服务器120之间可以进行通信。其中，云端服务器110上的公有云可以为租户提供云服务，云管理平台服务器120上的云管理平台可以提供购买、登录、配置和使用公有云所提供的云服务的接口。
需要说明的是，在本申请实施例中，云管理平台执行的步骤可以理解为云管理平台服务器执行的步骤；公有云执行的步骤可以理解为云端服务器执行的步骤，不应对本申请产生任何限定。
图2是本申请实施例提供的一种基于公有云技术的云服务提供方法的示意性流程图。
如图2所示，基于公有云技术的云服务提供方法200可以包括步骤210和步骤220。方法200可以由云管理平台服务器来执行，或者，也可以由配置在云管理平台服务器中的部件(如芯片、芯片系统等)等执行，本申请实施例对此不作限定。下面对步骤210和步骤220进行详细说明。
在步骤210中，云管理平台提供针对云服务的实时扣费信息选择接口。
其中，云服务为租户在公有云上购买的任一云服务，实时扣费信息选择接口可以用于获取云服务的实时扣费信息显示需求。
实时扣费信息选择接口例如可以是API或界面。
一示例，云管理平台服务器可以基于云管理平台提供针对云服务的实时扣费信息选择API，以通过该API获取云服务的实时扣费信息显示需求。例如，租户可以通过客户端远程接入到云管理平台提供的该API，以获取云服务的实时扣费信息显示需求。
又一示例，云管理平台服务器可以基于云管理平台提供针对云服务的实时扣费信息选择界面，以通过该界面获取云服务的实时扣费信息显示需求。例如，租户可以通过客户端远程访问云管理平台提供的该界面，以获取云服务的实时扣费信息显示需求。
如图3所示，客户端可以通过互联网访问云管理平台，租户通过预先在云管理平台注册的账号可以在云管理平台购买、以及控制公有云提供给租户的云服务。在图3中，以虚拟机作为云服务的一例，例如图中的虚拟机1、虚拟机2、虚拟机3和虚拟机4都可以分别作为一个云服务的示例。租户可以通过操作客户端通过互联网远程登录到云管理平台上，租户可以操作客户端远程在云管理平台上购买、登录、配置和使用虚拟机。例如，租户在创建(也可以称为购买)虚拟机时，可以在页面上勾选开启预估实时扣费信息的功能设置，基于云管理平台提供的实时扣费信息选择接口，就可以获取虚拟机的实时扣费信息显示需求。
在步骤220中，云管理平台根据实时扣费信息显示需求向租户显示云服务在启动后产生的费用的实时扣费信息。
在基于实时扣费信息选择接口获取云服务的实时扣费信息显示需求后，可以根据实时扣费信息显示需求，获取实时扣费信息，以通过客户端向租户显示云服务的实时扣费信息。
示例性地，如图3所示，若在创建虚拟机时勾选了开启预估实时扣费信息的功能设置，则在虚拟机1启动后，云管理平台可以根据虚拟机1的实时扣费信息显示需求，通过客户端向租户显示虚拟机1启动后产生的费用的实时扣费信息。
基于上述方案，云管理平台可以基于实时扣费信息选择接口，获取到云服务的实时扣费信息显示需求，进而可以基于实时扣费信息显示需求向租户显示租户所购买的云服务的实时扣费信息，以使得租户可以实时地了解所购买的云服务的实时扣费信息。
以下结合图4对方法200中如何确定云服务的实时扣费信息进行说明。
图4中示出了步骤410、步骤420和步骤430，以下对步骤410至步骤430进行详细说明。
在步骤410中，云管理平台获取云服务的计量维度。
运行有公有云的云端服务器可以为租户提供云服务，租户可以使用公有云提供的任意云服务。为便于区分和说明，本文中将公有云提供的被租户使用的云服务记为云服务。
公有云可以确定在该公有云上的所有的云服务的原始数据，例如，云服务的原始数据可以包括但不限于云服务的类型、云服务的名称、云服务的标识(identifier，ID)、云服务所属的租户的ID、云服务的创建时间、云服务的启用时间、云服务的计量维度、云服务的计价方式、云服务的计量周期的起始时间、云服务的计量周期的结束时间等等，本申请对此不作限定。
示例性地，云服务的计量维度可以包括：时长、大小、次数、带宽和流量等。
其中，时长可以表示云服务使用的累计时长，大小可以表示所使用的云服务的大小，次数可以表示对同一云服务的使用次数，带宽可以表示所使用的云服务的带宽，流量可以表示使用云服务产生的流量。
其中，云服务的类型可以包括但不限于弹性计算服务(elastic compute service，ECS)、弹性文件服务(scalable file service，SFS)、弹性互联网协议(elastic internet protocol，EIP)(也可以称为“弹性公网IP”)和消息通知服务(simple message notification，SMN)等。云服务的名称可以是租户在创建云服务时为云服务定义的名称。云服务的标识(identifier，ID)、云服务所属的租户的ID和云服务的创建时间都是在租户创建云服务时公有云自动生成的。
对于只支持一个计量维度的云服务，租户在创建云服务时，计量维度是默认的，租户不需要选择云服务的计量维度，例如，ECS只支持以时长为计量维度；对于支持多个计量维度的云服务，租户在创建云服务时，可以从多个计量维度选择一个计量维度，例如，SFS可以支持以大小为计量维度，也可以支持以流量为计量维度。
云服务支持的不同的计量维度对应于不同的计价方式，云服务的计价方式可以根据云服务的计量维度来确定。云服务的计量周期的起始时间和云服务的计量周期的结束时间是每次云服务启用后云端服务器自动生成的。
另外，云服务的计量结果可以基于计量维度对云服务的使用情况进行统计得到的。
云服务可以是在租户在公有云上创建该云服务(或者说是购买云服务)时，或者，租户启用该云服务时，将该云服务设置为可以进行预估实时扣费信息的云服务。本申请对此不作限定。
作为示例而非限定，如图5所示的云服务创建页面中的一部分内容，租户在创建云服务时，可以在云服务创建页面上勾选开启预估实时扣费信息，这样一来，该租户在使用该云服务的过程中便可以查看到该云服务的实时扣费信息。
示例性地，在租户启用云服务时，云管理平台可以从公有云获取云服务的计量维度。
在步骤420中，云管理平台基于云服务的计量维度确定第一扣费信息预估模型。
其中，第一扣费信息预估模型是预定义的多个扣费信息预估模型中与云服务的计量维度对应的扣费信息预估模型，该多个扣费信息预估模型中的每个模型可对应于一个计量维度，每个模型可用于基于所对应的计量维度预估云服务的实时扣费信息。
应理解，该多个扣费信息预估模型，以及每个扣费信息预估模型关于计量维度的对应关系可以预先定义。
云管理平台在获取到云服务的计量维度后，可以根据云服务的计量维度在预定义的多个扣费信息预估模型中确定出与该计量维度对应的扣费信息预估模型，以用于后续对云服务的实时扣费信息进行预估。
示例性地，云服务的实时扣费信息可以包括实时扣费速率和/或实时扣费金额。其中，实时扣费速率为预估的每秒应扣费金额，实时扣费金额为预估的当前累计的扣费金额。
可以理解，当前时间点的实时扣费金额为从本次扣费周期开始至当前这个时间点，根据这段时间中每秒的扣费金额累计得到的。还可以理解，每秒的扣费金额也即实时扣费速率。
若云服务的计量维度为时长，在使用云服务的过程中，实时扣费速率可以是固定的某个值；若云服务的计量维度为大小，在使用云服务的过程中，若所使用的云服务的大小不变，实时扣费速率也可以是固定某个值；若云服务的计量维度为次数，只有在每次使用云服务的时候实时扣费的速率才不为零，在开始使用云服务的那一秒实时扣费速率可以为使用一次该云服务需要扣除的金额；若云服务的计量维度为带宽，在使用云服务的过程中，实时扣费速率可以根据每秒带宽的不同而实时变化；若云服务的计量维度为流量，在使用云服务的过程中，实时扣费速率可以根据每秒使用该云服务产生的流量来确定。
在步骤430中，云管理平台通过第一扣费信息预估模型，预估云服务的实时扣费信息。
云管理平台在确定出与云服务的计量维度对应的第一扣费信息预估模型的情况下，可以利用该第一扣费预估模型对云服务的实时扣费信息进行预估。
在一种可能的实现方式中，云服务计费装置通过第一扣费信息预估模型，预估云服务的实时扣费信息，可以包括：云管理平台通过第一扣费信息预估模型，基于云服务的计量结果确定云服务的实时扣费信息。其中，计量结果是基于计量维度对云服务的使用情况进行统计得到的。
示例性地，云管理平台可以将云服务的计量结果作为第一扣费信息预估模型的输入值，将云服务的计量结果输入到第一扣费信息预估模型中，基于第一扣费信息预估模型对云服务的计量结果的分析处理，得到云服务的实时扣费信息，云服务的实时扣费信息可以是第一扣费信息预估模型的输出数据。
可选地，云服务的计量维度为时长或大小，云管理平台通过第一扣费信息预估模型，基于云服务的计量结果确定云服务的所述实时扣费信息，可以包括：云管理平台通过第一扣费信息预估模型确定与云服务的计量维度对应的计价方式；通过第一扣费信息预估模型，基于计价方式和云服务的计量结果，确定云服务的实时扣费信息。
一示例，假设云服务的计量维度为时长，云管理平台可以通过第一扣费信息预估模型从公有云获取到与时长对应的计价方式，例如为k元/小时(k为正数)，例如，0.36元/小时，例如初始的计量结果为1秒，云管理平台可以通过第一扣费信息预估模型将0.36元/小时换算为0.0001元/秒，可以确定出云服务的实时扣费速率为0.0001元/秒，以及当前云服务的实时扣费金额为0.0001元。
另一示例，假设云服务的计量维度为大小，云服务计费装置可以通过第一扣费信息预估模型从公有云获取到云服务的计价方式和云服务的计量结果，例如云服务的计价方式包括云服务的大小与每小时扣费金额的对应关系，如100吉子节(gigabyte，GB)对应于每小时扣费0.72元、200GB对应于每小时扣费0.78元等，云服务的计量结果为100GB，则 云管理平台可以基于云服务的计量结果100GB，将每小时扣费0.72元换算为0.0002元/秒，可以确定出云服务的实时扣费速率为0.0002元/秒，以及当前云服务的初始实时扣费金额为0.0002元。
可选地，云服务的计量维度为次数、带宽或流量，第一扣费信息预估模型可以是根据历史的扣费信息训练得到的。
也就是说，与计量维度为次数对应的扣费信息预估模型、与计量维度为带宽对应的扣费信息预估模型和与计量维度为流量的扣费信息预估模型可以是预先根据租户的历史的扣费信息训练得到的。
作为示例而非限定，这三个扣费信息预估模型均可以为自回归滑动平均(auto-regressive and moving average model，ARMA)模型。
例如，以与计量维度为带宽对应的扣费信息预估模型为例，可以获取租户使用云服务时带宽的相关历史数据。作为示例而非限定，历史数据的时间粒度可以是分钟级别的，如表1所示，表1中示出了某个租户在使用云服务的过程中，某些时间点对应的带宽的值，例如，在2021年9月22日22时42分0秒(2021.9.22 22:42:00)这个时间点，对应的带宽值为5760比特(bits)/秒(second，s)。
表1
应理解，如表1所示，时间点与时间点之间的间隔为1分钟，可先将相邻的时间点对应的带宽的值求差，计算出带宽平均每秒的变化速率，再计算出每两个相邻时间点之间每秒对应的带宽的值。例如，将“2021.9.22 22:42:00”对应的“5760”与“2021.9.22 22:43:00”对应的“2760”作差，也即2760－5760＝－3000，－3000÷60＝－50，也即，“2021.9.22 22:42:00”与“2021.9.22 22:43:00”之间带宽的值平均每秒减少50bit，也就是说，2021.9.22 22:42:01对应的带宽的值为5710(由5760－50得到)bit/s，2021.9.22 22:42:02对应的带宽的值为5660(由5710－50得到)bit/s，2021.9.22 22:42:03对应的带宽的值为5610(由5660－50得到)bit/s，依次类推，2021.9.22 22:42:59对应的带宽的值为2810。以此类推，计算出2021.9.22 22:43:00至2021.9.22 22:47:00这个时间段内每秒对应的带宽值。再将2021.9.22 22:42:00至2021.9.22 22:47:00这个时间段中的每秒对应的带宽值作为ARMA模型的训练数据集，对ARMA模型进行训练，得到与计量维度为带宽对应的扣费信息预估模型。
与计量维度为次数对应的扣费信息预估模型以及与计量维度为流量的扣费信息预估模型，和以与计量维度为带宽对应的扣费信息预估模型相似。与计量维度为次数对应的扣 费信息预估模型的训练数据集可以是租户使用云服务的次数的相关历史数据，用这些数据对ARMA模型进行训练得到与计量维度为次数对应的扣费信息预估模型；与计量维度为流量对应的扣费信息预估模型的训练数据集可以是租户使用云服务时产生的流量的相关历史数据，用这些数据对ARMA模型进行训练得到与计量维度为流量对应的扣费信息预估模型。
需要说明的是，在某一租户是新租户的情况下，也就是说公有云还未产生关于该租户的历史的扣费信息的情况下，可以将预设初始值输入到ARMA模型中进行预测，随着该租户对云服务的使用，该租户的历史扣费信息随之产生，再利用该租户的历史扣费信息再次对ARMA模型预进行训练，随着租户的历史扣费信息产生的越来越多，ARMA模型预估的效果就越好，得到的实时扣费信息也就越准确。
可选地，方法200还包括：公有云生成并发送事件通知；相应地，云管理平台接收针对云服务的事件通知。
其中，事件通知可以用于指示云服务的状态发生变化，事件通知可以包括事件的类型，事件是触发云服务的状态发生变化的事件。
示例性地，公有云可以提供事件通知服务，向其他设备发送事件通知。云管理平台可以通过订阅公有云的事件通知服务。在公有云确定云服务的状态发生变化的情况下，可以向云管理平台发送事件通知，相应地，云管理平台可以接收来自公有云的事件通知。
可选地，事件的类型包括：创建云服务事件、删除云服务事件、云服务启动事件、云服务关闭事件、云服务扩容事件和云服务缩容事件。
创建云服务事件可以理解为对云服务进行创建的事件，删除云服务事件可以理解为对云服务进行释放的事件，云服务启动事件可以理解为启用云服务的事件，云服务关闭事件可以理解为关闭云服务的事件，云服务扩容事件可以理解为增大云服务的总的容量的事件，云服务缩容事件可以理解为减小云服务的总的容量的事件。
示例性地，当租户或者预先设置的定时任务触发了对云服务的创建云服务事件、删除云服务事件、云服务启动事件、云服务关闭事件、云服务扩容事件、或云服务缩容事件的情况下，云端服务器可以向订阅了其事件通知服务的云管理平台发送事件通知，相应地，云管理平台接收来自公有云的事件通知。
可选地，在接收到事件通知的情况下，方法200还可以包括：云管理平台在确定事件为影响云服务的实时扣费速率的情况下，更新云服务的计量结果。
示例性地，云管理平台在接收到事件通知的情况下，可以基于事件通知中的事件的类型进行分析，在确定事件为影响云服务的实时扣费速率的情况下，更新云服务的计量结果，并将更新后的计量结果输入到第一扣费信息预估模型中再次预估实时扣费信息。例如，事件通知中事件的类型为上传文件事件，云服务的计量维度为时长，云服务的实时扣费速率不变，不受上传文件事件的影响，在这种情况下，可以不更新云服务的计量结果。又例如，事件通知中事件的类型为上传文件事件，云服务的计量维度为大小，云服务的实时扣费速率会受上传文件事件的影响而发生变化，在这种情况下，可以更新云服务的计量结果。
可选地，方法200还包括：以预设时长为周期，云管理平台获取云服务的监控数据，监控数据包括计量维度及监控值，监控值是当前周期内针对计量维度采集到的对云服务的使用值；基于监控数据，调整云服务的所述实时扣费信息。
上文已述及，公有云可以确定在该公有云上的所有的云服务的包括计量维度在内的原始数据，云管理平台可以以预设时长为周期，从公有云获取云服务的原始数据。
应理解，周期是预先设定的，可以是分钟级别的时长，例如，1分钟，2分钟、5分钟、10分钟等等，本申请对此不作限定。
示例性地，以1分钟为周期，云管理平台从公有云采集云服务的监控数据，监控数据包括但不限于计量维度和监控值，监控数据还可以包括监控采集时间等。例如，云服务的计量维度为带宽，则对应于带宽的监控值可以是网卡上产生的准确的带宽值，将采集到的准确地带宽值输入到第一扣费信息预估模型中，预估出下一秒的实时扣费信息，将当前显示的实时扣费信息调整为根据监控数据预估出的实时扣费信息。
可以理解，周期为1分钟，也就是每分钟基于监控数据对实时扣费信息调整一次。
在一种可能的实现方式中，方法200还可以包括：云管理平台基于实际应扣费金额，调整云服务的实时扣费信息，实际应扣费金额是当前扣费周期内云服务所对应的累计扣费金额。
上文已述及，目前的云端服务器每小时进行一次扣费，也就是说，扣费周期为1小时，每小时可以得出一个实际应扣费的金额，以这个实际应扣费的金额为准对租户的账户进行扣费。云管理平台可以基于每小时得出的实际应扣费的金额，将当前预估的实时扣费金额调整为该实际应扣费金额，和/或，用该实际应扣费金额与前一秒预显示实时扣费金额作差，将当前预估的实时扣费速率调整为该差值。
可选地，云管理平台还可以获取基于实际应扣费金额调整前和调整后的实时扣费速率的差值；在实时扣费速率的差值小于预设的第一阈值的情况下，开启根据实时扣费速率进行实时扣费的功能。
也就是说，云管理平台可以每小时根据实际应扣费金额调整云服务的实时扣费速率，并且云管理平台可以计算调整前和调整后的实时扣费速率的差值，在该差值小于预设的第一阈值的情况下，云管理平台可以开启根据实时扣费速率进行实时扣费的功能，也就是说，云管理平台可以根据预估的实时扣费速率每秒进行一次扣费。
可选地，云管理平台还可以获取基于实际应扣费金额调整前和调整后的实时扣费金额的差值；在实时扣费金额的差值小于预设的第二阈值的情况下，开启根据实时扣费速率进行实时扣费的功能。
也就是说，云管理平台可以每小时根据实际应扣费金额调整云服务的实时扣费金额，并且云管理平台可以计算调整前和调整后的实时扣费金额的差值，在该差值小于预设的第二阈值的情况下，云管理平台可以开启根据实时扣费速率进行实时扣费的功能，也就是说，云管理平台可以根据预估的实时扣费速率每秒进行一次扣费。
可选地，云管理平台还可以获取基于实际应扣费金额调整前和调整后的实时扣费速率的差值，和获取基于实际应扣费金额调整前和调整后的实时扣费金额的差值；在该差值小于预设的第一阈值且实时扣费金额的差值小于预设的第二阈值的情况下，开启根据实时扣费速率进行实时扣费的功能。
也就是说，云管理平台可以每小时根据实际应扣费金额调整云服务的实时扣费速率和实时扣费金额，并且云管理平台可以计算调整前和调整后的实时扣费速率的差值和实时扣费金额的差值，在实时扣费速率的差值小于预设的第一阈值且实时扣费金额的差值小于预 设的第二阈值的情况下，云管理平台可以开启根据实时扣费速率进行实时扣费的功能，也就是说，云管理平台可以根据预估的实时扣费速率每秒进行一次扣费。
需要说明的是，上述第一阈值和/或第二阈值可以是云管理平台默认的阈值，也可以是租户自己设定的阈值，本申请对此不做限定。还需要说明的是，第一阈值和第二阈值的大小可以相同，也可以不同，本申请对此不做限定。
可选地，云管理平台根据预估的实时扣费速率每秒进行一次扣费的情况下，云管理平台还可以每小时根据实际应扣费金额和实时扣费金额，对云服务所属的租户的账户余额进行调整。
示例性地，云管理平台可以计算出实际应扣费金额和实时扣费金额的差值，在实际应扣费金额大于实时扣费金额的情况下，云管理平台可以将云服务所属的租户的账户余额减去这个差值；在实际应扣费金额小于实时扣费金额的情况下，云管理平台可以将云服务所属的租户的账户余额加上这个差值。
基于上述技术方案，通过预先定义的多种与计量维度对应的扣费信息预估模型，对从公有云获取到的基于上述技术方案，的包括计量维度在内的云服务的原始数据进行分析，得到云服务的实时扣费信息。进而客户端可以将预估的实时扣费信息呈现给租户，以使得租户可以实时地了解预估的实时扣费信息。另外，还可以根据监控数据和/或实际应扣费金额对云服务的实时预估扣费信息进行调整，使得云服务的实时预估扣费信息更加准确。再者，还可以在满足预设条件的情况下，基于实时预估扣费速率对租户的账户进行实时扣费，以达到根据租户对云服务的使用情况进行实时扣费的效果。
图6为本申请实施例提供的查看实时扣费信息页面的示意图。如图6所示，租户可以在客户端的查看实时扣费信息页面查看云服务的实时扣费信息。如图6示出了云服务名称分别为ESC01和ESC02的2个云服务，在该查看实时扣费信息页面上，租户可以查看到ESC01的实时扣费速率和实时扣费金额，也可以查看到ESC02的实时扣费速率和实时扣费金额，还可以查看到ESC01和ESC02所属的ESC这整个云服务类型下包括几个云服务，以及这个云服务类型总的实时扣费速率和实时扣费金额。
应理解，图6只是示例性的，不应对本申请产生任何限定。
在一些可能的设计中，客户端的页面上还可以为租户呈现出实时扣费信息的变化曲线图，以便于租户可以了解使用云服务所产生实时扣费信息的峰值和谷值，进而可以根据实时扣费信息的峰值和谷值来推断租户的业务的峰值时段和谷值时段，便于租户更好地掌握业务情况。
图7是本申请实施例提供的一种云管理平台与公有云交互的示意图。
如图7所示，公有云和云管理平台之间可以进行数据交互。云管理平台可以包括原始数据获取模块、监控数据获取模块、事件获取模块；其中，事件获取模块还可以包括消息中间件、过滤子模块和事件数据存储子模块。预估模块可以包括基于时长的扣费信息预估模型、基于大小的扣费信息预估模型、基于次数的扣费信息预估模型、基于带宽的扣费信息预估模型和基于流量的扣费信息预估模型。
需要说明的是，原始数据获取模块可以用于支持云管理平台获取云服务的原始数据；预估模块可以用于支持云管理平台基于云服务的计量维度确定第一扣费信息预估模型，并通过第一扣费信息预估模型，预估云服务的实时扣费信息。
事件获取模块中的消息中间件可以用于支持云管理平台接收来自公有云的事件通知，过滤子模块可以用于支持云管理平台在确定接收到的事件通知中的事件为影响云服务的实时扣费速率的情况下，更新云服务的计量结果，并将更新后的计量结果存储到事件数据存储子模块中。
监控数据获取模块可以用于支持云管理平台以预设时长为周期，获取云服务的监控数据。
计费模块可以用于支持云管理平台基于预估模块生成的实时扣费信息进行计费；计费模块还可以用于支持云管理平台基于实际应扣费金额，调整云服务的实时扣费信息；计费模块还可以用于支持云管理平台每小时根据实际应扣费金额和实时扣费金额，对云服务所属的租户的账户余额进行调整。
下面结合上述云管理平台中的相关模块，对本申请提出的基于公有云技术的云服务提供方法进行说明。
图8是本申请实施例提供的一种基于公有云技术的云服务提供的又一示意性流程图。
在步骤801中，公有云可以创建云服务。
公有云可以响应于租户创建云服务的操作，创建云服务。
在步骤802中，公有云可以生成事件通知。
上文已述及，公有云可以提供事件通知服务，云管理平台可以订阅该事件通知服务。在公有云确定该创建云服务的事件为触发云服务的状态发生变化的事件，公有云可以生成创建云服务的事件通知。
在步骤803中，公有云可以向云管理平台发送事件通知。相应地，云管理平台可以基于事件获取模块接收来自公有云的事件通知。
在步骤804中，云管理平台可以基于原始数据获取模块从公有云获取原始数据。
经过事件获取模块对云服务的事件通知的分析，在确定云服务的创建事件为影响云服务的计费速率的事件的情况下，事件获取模块可以在原始数据获取模块的协助下从公有云获取第一数据的包括计量维度在内的原始数据。
需要说明的是，在获取到云服务的原始数据后，事件获取模块可以保存云服务的计量结果。应理解，云服务在未创建前，事件获取模块的事件数据存储模块中没有存储着云服务的计量结果，在获取到云服务的原始数据后，事件获取模块可以将云服务的计量结果保存在事件数据存储模块中，这就相当于更新了云服务的计量结果。
在步骤805中，云管理平台可以基于预估模块从原始数据获取模块获取原始数据。
在步骤806中，云管理平台的预估模块可以基于原始数据预估云服务的实时扣费信息。
云管理平台基于预估模块对云服务的原始数据进行分析处理，预估云服务的实时扣费信息。
在步骤807中，公有云可以周期性生成监控数据。
例如，以1分钟为周期，公有云可以每1分钟生成一次监控数据。
在步骤808中，云管理平台可以基于监控数据获取模块从公有云获取监控数据。
云管理平台可以基于监控数据获取模块周期性从公有云获取云服务的监控数据。例如，以1分钟为周期从公有云获取云服务的监控数据。
在步骤809中，云管理平台可以基于预估模块从监控数据获取模块中获取监控数据。
在步骤810中，云管理平台的预估模块可以基于监控数据调整实时扣费信息。
云管理平台可以基于预估模块对云服务的监控数据进行分析处理，调整云服务的实时扣费信息。应理解，云管理平台每1分钟基于云服务的监控数据对云服务的实时扣费信息调整一次。
在步骤811中，公有云可以周期性生成计量结果。
例如，以1小时为周期，公有云可以每1小时生成一次计量结果。
在步骤812中，云管理平台可以基于计费模块从公有云获取计量结果。
云管理平台可以基于计费模块从公有云获取云服务的计量结果。例如，以1小时为周期从公有云获取云服务的计量结果。
在步骤813中，云管理平台的计费模块可以基于计量结果生成实际应扣费金额。
计费模块可以基于从公有云获取到的云服务的计量结果，生成云服务的一个计费周期的实际应扣费金额。
在步骤814中，云管理平台可以基于预估模块从计费模块获取实际应扣费金额。
在步骤815中，云管理平台的预估模块可以基于实际应扣费金额调整实时扣费信息。
云管理平台每1小时基于云服务的实际应扣费金额对云服务的实时扣费信息调整一次。
图9是本申请实施例提供的另一种基于公有云技术的云服务提供装置的示意性框图。
如图9所示，该基于公有云技术的云服务提供装置900可以包括处理模块910和收发模块920。该基于公有云技术的云服务提供装置900可以用于执行云管理平台或公有云的步骤。
示例性地，当该基于公有云技术的云服务提供装置900用于执行图2、图4和图8中的云管理平台的步骤时，该基于公有云技术的云服务提供装置900例如可以是云管理平台服务器，其中，处理模块910可以用于提供针对云服务的实时扣费信息选择接口，云服务为租户在云管理平台上所购买的云服务，实时扣费信息选择接口用于获取云服务的实时扣费信息显示需求；处理模块910和收发模块920可以协同用于根据实时扣费信息显示需求向租户显示云服务在启动后产生的费用的实时扣费信息。
可选地，确定实时扣费信息包括：收发模块920还可以用于获取云服务的计量维度；处理模块910可以用于基于云服务的计量维度确定第一扣费信息预估模型，第一扣费信息预估模型是预定义的多个扣费信息预估模型中与云服务的计量维度对应的扣费信息预估模型，多个扣费信息预估模型中的每个模型对应于一个计量维度，每个模型用于基于所对应的计量维度预估云服务的实时扣费信息；通过第一扣费信息预估模型，预估云服务的实时扣费信息。
可选地，在一种可能的设计中，计量维度包括：时长、大小、次数、带宽或流量；其中，时长表示云服务使用的累计时长，大小表示所使用的云服务的大小，次数表示对同一云服务的使用次数，带宽表示所使用的云服务的带宽，流量表示使用云服务产生的流量。
可选地，在一种可能的设计中，实时扣费信息包括实时扣费速率和/或实时扣费金额，实时扣费速率为预估的每秒应扣费金额，实时扣费金额为预估的当前累计的扣费金额。
可选地，在一种可能的设计中，处理模块910具体可以用于通过第一扣费信息预估模型，基于云服务的计量结果确定云服务的实时扣费信息，计量结果是基于计量维度对云服务的使用情况进行统计得到的。
可选地，在一种可能的设计中，计量维度为时长或大小，处理模块910具体可以用于通过第一扣费信息预估模型确定与云服务的计量维度对应的计价方式；通过第一扣费信息预估模型，基于计价方式和云服务的所述计量结果，确定云服务的实时扣费信息。
可选地，在一种可能的设计中，计量维度为次数、带宽或流量，第一扣费信息预估模型是根据历史的扣费信息训练得到的。
可选地，在一种可能的设计中，收发模块920还可以用于接收针对云服务的事件通知，事件通知用于指示云服务的状态发生变化，事件通知包括事件的类型，事件为触发云服务的状态发生变化的事件。
可选地，在一种可能的设计中，事件的类型包括：创建云服务事件、删除云服务事件、云服务启动事件、云服务关闭事件、云服务扩容事件和云服务缩容事件。
可选地，在一种可能的设计中，处理模块910还可以用于在确定事件为影响云服务的实时扣费速率的情况下，更新云服务的计量结果。
可选地，在一种可能的设计中，收发模块920还可以用于以预设时长为周期，获取云服务的监控数据，监控数据包括所述计量维度及监控值，监控值是当前周期内针对计量维度采集到的对云服务的使用值；处理模块910还可以用于基于监控数据，调整云服务的实时扣费信息。
可选地，在一种可能的设计中，处理模块910还可以用于基于实际应扣费金额，调整云服务的实时扣费信息，实际应扣费金额是当前扣费周期内云服务所对应的累计扣费金额。
示例性地，当该基于公有云技术的云服务提供装置900用于执行图8中公有云的步骤时，该基于公有云技术的云服务提供装置900例如可以是云端服务器，其中，处理模块910可以用于生成事件通知，事件通知用于指示云服务的状态发生变化，事件通知包括事件的类型，事件为触发云服务的状态发生变化的事件；收发模块920可以用于发送事件通知。
可选地，在一种可能的设计中，事件的类型包括：创建云服务事件、删除云服务事件、云服务启动事件、云服务关闭事件、云服务扩容事件和云服务缩容事件。
图10是本申请实施例提供的一种装置的示意性框图。该装置1000可以用于实现图2、图4或图8中云管理平台或图8中公有云的功能。该装置1000可以为芯片系统。本申请实施例中，芯片系统可以由芯片构成，也可以包含芯片和其他分立器件。
如图10所示，该装置1000可以包括至少一个处理器1010，用于实现本申请实施例提供的图2、图4和图8中的云管理平台或图8中的公有云的功能。
例如，当该装置1000用于实现图2和图4中云管理平台的功能时，该装置1000可以是云管理平台服务器，处理器1010可以用于提供针对云服务的实时扣费信息选择接口，云服务为租户在云管理平台上所购买的云服务，实时扣费信息选择接口用于获取云服务的实时扣费信息显示需求；根据实时扣费信息显示需求向租户显示云服务在启动后产生的费用的实时扣费信息。具体参见方法示例中的详细描述，此处不做赘述。
又例如，当该装置1000用于实现图8中公有云的功能时，该装置1000可以是云端服务器，处理器1010可以用于生成事件通知，事件通知用于指示云服务的状态发生变化，事件通知包括事件的类型，事件为触发云服务的状态发生变化的事件；发送事件通知。 具体参见方法示例中的详细描述，此处不做赘述。
该装置1000还可以包括至少一个存储器1020，用于存储程序指令和/或数据。存储器1020和处理器1010耦合。本申请实施例中的耦合是装置、单元或模块之间的间接耦合或通信连接，可以是电性，机械或其它的形式，用于装置、单元或模块之间的信息交互。处理器1010可能和存储器1020协同操作。处理器1010可能执行存储器1020中存储的程序指令。所述至少一个存储器中的至少一个可以包括于处理器中。
该装置1000还可以包括通信接口1030，用于通过传输介质和其它设备进行通信，从而用于该装置1000可以和其它设备进行通信，例如，该装置1000为云管理平台时，其它设备可以是公有云；当该装置1000为公有云时，其它设备可以是云管理平台。所述通信接口1030例如可以是收发器、接口、总线、电路或者能够实现收发功能的装置。处理器1010可利用通信接口1030收发数据和/或信息，并用于实现本实施例中所述的云管理平台所执行的方法，或，用于实现本实施例中所述的公有云所执行的方法。
本申请实施例中不限定上述处理器1010、存储器1020以及通信接口1030之间的具体连接介质。本申请实施例在图10中以处理器1010、存储器1020以及通信接口1030之间通过总线1040连接。总线1040在图10中以粗线表示，其它部件之间的连接方式，仅是进行示意性说明，并不引以为限。所述总线可以分为地址总线、数据总线、控制总线等。为便于表示，图10中仅用一条粗线表示，但并不表示仅有一根总线或一种类型的总线。
本申请还提供了一种芯片系统，所述芯片系统包括至少一个处理器，用于实现上述图2、图4和图8对应的实施例中所述的云管理平台所执行的方法中所涉及的功能，或，用于实现图8对应的实施例中所述的公有云所执行的方法中所涉及的功能，例如，接收或处理上述方法中所涉及的数据和/或信息。
在一种可能的设计中，所述芯片系统还包括存储器，所述存储器用于保存程序指令和数据，存储器位于处理器之内或处理器之外。
该芯片系统可以由芯片构成，也可以包含芯片和其他分立器件。
本申请还提供一种计算机程序产品，所述计算机程序产品包括：计算机程序(也可以称为代码，或指令)，当所述计算机程序被运行时，使得计算机执行如图2、图4和图8中所示实施例中云管理平台执行的方法，或，使得计算机执行如图8中所示实施例中公有云执行的方法。
本申请还提供一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序(也可以称为代码，或指令)。当所述计算机程序被运行时，使得计算机执行如图2、图4和图8中所示实施例中云管理平台执行的方法，或，使得计算机执行如图8中所示实施例中公有云执行的方法。
应理解，本申请实施例中的处理器可以是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法实施例的各步骤可以通过处理器中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器可以是通用处理器、数字信号处理器(digital signal processor，DSP)、专用集成电路(application specific integrated circuit，ASIC)、现场可编程门阵列(field programmable gate array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本申请实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。 结合本申请实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器，处理器读取存储器中的信息，结合其硬件完成上述方法的步骤。
还应理解，本申请实施例中的存储器可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(read-only memory，ROM)、可编程只读存储器(programmable ROM，PROM)、可擦除可编程只读存储器(erasable PROM，EPROM)、电可擦除可编程只读存储器(electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(random access memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(static RAM，SRAM)、动态随机存取存储器(dynamic RAM，DRAM)、同步动态随机存取存储器(synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(double data rate SDRAM，DDR SDRAM)、增强型同步动态随机存取存储器(enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(synchlink DRAM，SLDRAM)和直接内存总线随机存取存储器(direct rambus RAM，DR RAM)。应注意，本文描述的系统和方法的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
本说明书中使用的术语“单元”、“模块”等，可用于表示计算机相关的实体、硬件、固件、硬件和软件的组合、软件、或执行中的软件。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各种说明性逻辑块(illustrative logical block)和步骤(step)，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。在本申请所提供的几个实施例中，应该理解到，所揭露的装置、设备和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
在上述实施例中，各功能单元的功能可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令(程序)。在计算机上加载和执行所述计算机程序指令(程序)时，全部或部分地产生按照本申请实施例所述的流程或功能。所述 计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(digital subscriber line，DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，数字通用光盘(digital video disc，DVD))、或者半导体介质(例如固态硬盘(solid state disk，SSD))等。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。

Claims (26)

  1. 一种基于公有云技术的云服务提供方法，其特征在于，包括：
    云管理平台提供针对云服务的实时扣费信息选择接口，所述云服务为租户在所述云管理平台上所购买的云服务，所述实时扣费信息选择接口用于获取所述云服务的实时扣费信息显示需求；
    所述云管理平台根据所述实时扣费信息显示需求向所述租户显示所述云服务在启动后产生的费用的实时扣费信息。
  2. 如权利要求1所述的方法，其特征在于，确定所述实时扣费信息包括：所述云管理平台获取所述云服务的计量维度；
    所述云管理平台基于所述云服务的所述计量维度确定第一扣费信息预估模型，所述第一扣费信息预估模型是预定义的多个扣费信息预估模型中与所述云服务的所述计量维度对应的扣费信息预估模型，所述多个扣费信息预估模型中的每个模型对应于一个计量维度，每个模型用于基于所对应的计量维度预估云服务的实时扣费信息；
    所述云管理平台通过所述第一扣费信息预估模型，预估所述云服务的实时扣费信息。
  3. 如权利要求2所述的方法，其特征在于，所述计量维度包括：时长、大小、次数、带宽或流量；其中，所述时长表示使用同一云服务的累计时长，所述大小表示所使用的云服务的大小，所述次数表示对同一云服务的使用次数，所述带宽表示所使用的云服务的带宽，所述流量表示使用云服务产生的流量。
  4. 如权利要求2或3所述的方法，其特征在于，所述实时扣费信息包括实时扣费速率和/或实时扣费金额，所述实时扣费速率为预估的每秒应扣费金额，所述实时扣费金额为预估的当前累计的扣费金额。
  5. 如权利要求2至4中任一项所述的方法，其特征在于，所述云管理平台通过所述第一扣费信息预估模型，预估所述云服务的实时扣费信息，包括：
    所述云管理平台通过所述第一扣费信息预估模型，基于所述云服务的计量结果确定所述云服务的所述实时扣费信息，所述计量结果是基于所述计量维度对所述云服务的使用情况进行统计得到的。
  6. 如权利要求5所述的方法，其特征在于，所述计量维度为时长或大小，所述通过所述第一扣费信息预估模型，基于所述云服务的计量结果确定所述云服务的所述实时扣费信息，包括：
    通过所述第一扣费信息预估模型确定与所述云服务的所述计量维度对应的计价方式；
    通过所述第一扣费信息预估模型，基于所述计价方式和所述云服务的所述计量结果，确定所述云服务的所述实时扣费信息。
  7. 如权利要求6所述的方法，其特征在于，所述计量维度为次数、带宽或流量，所述第一扣费信息预估模型是根据历史的扣费信息训练得到的。
  8. 如权利要求5至7中任一项所述的方法，其特征在于，所述方法还包括：
    所述云管理平台接收针对所述云服务的事件通知，所述事件通知用于指示所述云服务的状态发生变化，所述事件通知包括事件的类型，所述事件为触发所述云服务的 状态发生变化的事件。
  9. 如权利要求8所述的方法，其特征在于，所述事件的类型包括：创建云服务事件、删除云服务事件、云服务启动事件、云服务关闭事件、云服务扩容事件和云服务缩容事件。
  10. 如权利要求8或9所述的方法，其特征在于，所述方法还包括：
    所述云管理平台在确定所述事件为影响所述云服务的实时扣费速率的情况下，更新所述云服务的所述计量结果。
  11. 如权利要求2至10中任一项所述的方法，其特征在于，所述方法还包括：
    以预设时长为周期，所述云管理平台获取所述云服务的监控数据，所述监控数据包括所述计量维度及监控值，所述监控值是当前周期内针对所述计量维度采集到的对所述云服务的使用值；
    基于所述监控数据，调整所述云服务的所述实时扣费信息。
  12. 如权利要求2至11中任一项所述的方法，其特征在于，所述方法还包括：
    基于实际应扣费金额，所述云管理平台调整所述云服务的所述实时扣费信息，所述实际应扣费金额是当前扣费周期内所述云服务所对应的累计扣费金额。
  13. 一种基于公有云技术的云服务提供装置，其特征在于，所述装置包括：
    处理模块，用于提供针对云服务的实时扣费信息选择接口，所述云服务为租户在云管理平台上所购买的云服务，所述实时扣费信息选择接口用于获取所述云服务的实时扣费信息显示需求；
    收发模块，用于根据所述实时扣费信息显示需求向所述租户显示所述云服务在启动后产生的费用的实时扣费信息。
  14. 如权利要求13所述的装置，其特征在于，所述收发模块还用于获取所述云服务的计量维度；
    所述处理模块还用于基于所述云服务的所述计量维度确定第一扣费信息预估模型，所述第一扣费信息预估模型是预定义的多个扣费信息预估模型中与所述云服务的所述计量维度对应的扣费信息预估模型，所述多个扣费信息预估模型中的每个模型对应于一个计量维度，每个模型用于基于所对应的计量维度预估云服务的实时扣费信息；
    所述处理模块还用于通过所述第一扣费信息预估模型，预估所述云服务的实时扣费信息。
  15. 如权利要求14所述的装置，其特征在于，所述计量维度包括：时长、大小、次数、带宽或流量；其中，所述时长表示使用同一云服务的累计时长，所述大小表示所使用的云服务的大小，所述次数表示对同一云服务的使用次数，所述带宽表示所使用的云服务的带宽，所述流量表示使用云服务产生的流量。
  16. 如权利要求14或15所述的装置，其特征在于，所述实时扣费信息包括实时扣费速率和/或实时扣费金额，所述实时扣费速率为预估的每秒应扣费金额，所述实时扣费金额为预估的当前累计的扣费金额。
  17. 如权利要求14至16中任一项所述的装置，其特征在于，所述处理模块还用于通过所述第一扣费信息预估模型，基于所述云服务的计量结果确定所述云服务的所述实时扣费信息，所述计量结果是基于所述计量维度对所述云服务的使用情况进行统 计得到的。
  18. 如权利要求17所述的装置，其特征在于，所述计量维度为时长或大小，所述处理模块用于通过所述第一扣费信息预估模型确定与所述云服务的所述计量维度对应的计价方式；通过所述第一扣费信息预估模型，基于所述计价方式和所述云服务的所述计量结果，确定所述云服务的所述实时扣费信息。
  19. 如权利要求18所述的装置，其特征在于，所述计量维度为次数、带宽或流量，所述第一扣费信息预估模型是根据历史的扣费信息训练得到的。
  20. 如权利要求17至19中任一项所述的装置，其特征在于，所述收发模块还用于接收针对所述云服务的事件通知，所述事件通知用于指示所述云服务的状态发生变化，所述事件通知包括事件的类型，所述事件为触发所述云服务的状态发生变化的事件。
  21. 如权利要求20所述的装置，其特征在于，所述事件的类型包括：创建云服务事件、删除云服务事件、云服务启动事件、云服务关闭事件、云服务扩容事件和云服务缩容事件。
  22. 如权利要求20或21所述的装置，其特征在于，所述处理模块还用于在确定所述事件为影响所述云服务的实时扣费速率的情况下，更新所述云服务的所述计量结果。
  23. 如权利要求14至22中任一项所述的装置，其特征在于，所述收发模块还用于以预设时长为周期，获取所述云服务的监控数据，所述监控数据包括所述计量维度及监控值，所述监控值是当前周期内针对所述计量维度采集到的对所述云服务的使用值；
    所述处理模块还用于基于所述监控数据，调整所述云服务的所述实时扣费信息。
  24. 如权利要求14至23中任一项所述的装置，其特征在于，所述处理模块还用于基于实际应扣费金额，调整所述云服务的所述实时扣费信息，所述实际应扣费金额是当前扣费周期内所述云服务所对应的累计扣费金额。
  25. 一种计算机可读存储介质，其特征在于，包括计算机程序，当所述计算机程序在计算机上运行时，使得所述计算机执行如权利要求1至12中任一项所述的方法。
  26. 一种计算机程序产品，其特征在于，包括计算机程序，当所述计算机程序被运行时，使得计算机执行如权利要求1至12中任一项所述的方法。
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CN107464107A (zh) * 2016-06-06 2017-12-12 阿尔卡特朗讯 用于云系统的在线计费的方法、系统和设备
CN107995006A (zh) * 2017-12-01 2018-05-04 天津麒麟信息技术有限公司 一种云环境下基于消息触发的实时计费系统
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