CN112422299A - Method and device for analyzing public cloud charging data and computer readable storage medium - Google Patents
Method and device for analyzing public cloud charging data and computer readable storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1453—Methods or systems for payment or settlement of the charges for data transmission involving significant interaction with the data transmission network
- H04L12/1457—Methods or systems for payment or settlement of the charges for data transmission involving significant interaction with the data transmission network using an account
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- G06Q20/145—Payments according to the detected use or quantity
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The embodiment of the invention discloses a method and a device for analyzing public cloud charging data and a computer readable storage medium. The method comprises the following steps: respectively acquiring cloud charging original data of a cloud account number of a preset unit in each public cloud platform from each public cloud platform of a plurality of public cloud platforms; generating unified charging data of the predetermined unit and containing a triple group based on a plurality of cloud charging original data, wherein the triple group comprises an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform and a sub-tenant of the predetermined unit in each public cloud platform; performing a cost analysis based on the unified billing data. The charge data of the multi-cloud platform can be processed uniformly, and the uniform charging data can be used by a third party without difference.
Description
Technical Field
The invention relates to the technical field of information, in particular to a method and a device for analyzing public cloud charging data and a computer-readable storage medium.
Background
Cloud services are based on the proliferation, usage, and interaction patterns of internet-related services, typically involving the provision of dynamically scalable and often virtualized resources over the internet. The cloud service means that a required service is obtained through a network in an on-demand and easily-extensible manner. Such services may be IT and software, internet related, or other services. This means that computing power can be circulated as a commodity over the internet. The cloud service can put software, hardware and data required by enterprises on a network, and different IT devices are used for interconnection at various times and places, so that the purposes of data access, operation and the like are achieved.
Currently, common Cloud services include Public Cloud (Public Cloud) and Private Cloud (Private Cloud). The public cloud is the most basic service, and a plurality of customers can share the system resources of a service provider, and can enjoy professional IT service without erecting equipment and equipping management personnel. The public cloud may be subdivided into: Software-as-a-Service (SaaS); Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS).
Currently, prior art cloud cost management (including public and private clouds) generally includes the following:
mode (1), provide the expense calculator before cloud expense produces, but do not carry out statistics and analysis to the real expense that produces later stage.
And (2) providing a custom charging model and a model statistical interface, and calling the interface by an external service to realize cost statistics and analysis.
In the method (1), since it does not participate in the calculation process of the later-stage charge, it has no administrative significance. In the mode (2), the charge condition of the public cloud is complex, so that the user-defined charging models are difficult to process one by one, and especially for scenes of a plurality of public clouds, the user-defined charging models cannot be processed.
Disclosure of Invention
The invention provides a method and a device for analyzing public cloud charging data and a computer readable storage medium.
The technical scheme of the embodiment of the invention is as follows:
a method for analyzing public cloud charging data comprises the following steps:
respectively acquiring cloud charging original data of a cloud account number of a preset unit in each public cloud platform from each public cloud platform of a plurality of public cloud platforms;
generating unified charging data of the predetermined unit and containing a triple group based on a plurality of cloud charging original data, wherein the triple group comprises an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform and a sub-tenant of the predetermined unit in each public cloud platform;
performing a cost analysis based on the unified billing data.
In one embodiment, the obtaining, from each of the plurality of public cloud platforms, cloud charging raw data of a cloud account number of a predetermined unit in each of the public cloud platforms includes:
when at least one public cloud platform in the plurality of public cloud platforms has the capacity of providing a bill file containing cloud charging raw data of the at least one public cloud platform, acquiring the bill file from the at least one public cloud platform;
accessing at least one public cloud platform of the plurality of public cloud platforms based on an Application Program Interface (API) approach when the at least one public cloud platform does not have the capability to provide a billing file containing cloud billing raw data for the at least one public cloud platform; providing respective search terms to the at least one public cloud platform based on the access; and obtaining cloud charging raw data corresponding to the respective retrieval items from the at least one public cloud platform.
In one embodiment, the unified charging data further comprises a billing period, a billing date and packet data, wherein the packet data is generated based on user-defined rules, wherein the user-defined rules comprise establishing a two-dimensional aggregated data type comprising a geographic area field adapted to populate a geographic area providing a service and a type of service field adapted to populate one or more types of service and charging data corresponding to each type of service.
In one embodiment of the method of the present invention,
the performing a cost analysis based on the unified billing data comprises:
receiving a search field for searching across public cloud platforms;
querying the unified charging data based on the retrieval field;
query results across a public cloud platform are provided.
An apparatus to analyze public cloud billing data, comprising:
the system comprises an original data acquisition module, a data processing module and a data processing module, wherein the original data acquisition module is used for respectively acquiring cloud charging original data of a cloud account number of a preset unit in each public cloud platform of a plurality of public cloud platforms;
a unified charging data generation module, configured to generate unified charging data, which includes a triple, for the predetermined unit based on a plurality of the cloud charging raw data, where the triple includes an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform, and a sub-tenant of the predetermined unit in each public cloud platform;
and the analysis module is used for executing fee analysis based on the unified charging data.
In one embodiment, the method includes obtaining a billing file from at least one public cloud platform of the plurality of public cloud platforms when the at least one public cloud platform has the capability to provide the billing file containing cloud charging raw data for the at least one public cloud platform; accessing at least one public cloud platform of the plurality of public cloud platforms based on an API manner when the at least one public cloud platform does not have the capability of providing a bill file containing cloud charging raw data of the at least one public cloud platform; providing respective search terms to the at least one public cloud platform based on the access; and obtaining cloud charging raw data corresponding to the respective retrieval items from the at least one public cloud platform.
In one embodiment, the unified charging data further includes a billing period, a billing date, and packet data, wherein the packet data is generated based on user-defined rules; wherein the user-defined rule comprises establishing a two-dimensional aggregated data type comprising a geographic area field adapted to populate a geographic area in which services are provided and a type of service field adapted to populate one or more types of services and charging data corresponding to each type of service.
In one embodiment, an analysis module to receive a search field across a public cloud platform; querying the unified charging data based on the retrieval field; query results across a public cloud platform are provided.
An apparatus to analyze public cloud billing data, comprising: a memory; a processor; wherein the memory has stored therein an application executable by the processor for causing the processor to perform a method of analyzing public cloud billing data as described in any of the above.
A computer readable storage medium having computer readable instructions stored therein for performing the method of analyzing public cloud billing data as described in any of the above.
As can be seen from the above technical solutions, in the embodiment of the present invention: respectively acquiring cloud charging original data of a cloud account number of a preset unit in each public cloud platform from each public cloud platform of a plurality of public cloud platforms; generating unified charging data of the predetermined unit and containing a triple group based on a plurality of cloud charging original data, wherein the triple group comprises an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform and a sub-tenant of the predetermined unit in each public cloud platform; performing a cost analysis based on the unified billing data. Therefore, the embodiment of the invention can uniformly process the charge data of the multiple cloud platforms, the uniform charging data can be used by a third party without difference, and a scheme of uniform analysis and management of the charge of each cloud platform is realized in a multiple cloud environment.
In addition, the embodiment of the invention combines the sub-tenant concepts of the cloud platforms to divide the charge, thereby improving the charging accuracy. In addition, the embodiment of the invention also avoids frequently calling the API so as to prevent the condition that the expense data cannot be acquired because the calling frequency is exceeded.
Drawings
Fig. 1 is a flowchart of a method for analyzing public cloud charging data according to an embodiment of the present invention.
Fig. 2 is a block diagram of unified charging data according to an embodiment of the present invention.
Fig. 3 is a schematic diagram illustrating an exemplary detailed process of analyzing public cloud charging data according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of an exemplary schematic process for analyzing public cloud charging data according to an embodiment of the present invention.
Fig. 5 is a structural diagram of an apparatus for analyzing public cloud billing data according to the present invention.
Fig. 6 is a block diagram of an apparatus for analyzing public cloud billing data having a memory-processor architecture according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the accompanying drawings.
For simplicity and clarity of description, the invention will be described below by describing several representative embodiments. Numerous details of the embodiments are set forth to provide an understanding of the principles of the invention. It will be apparent, however, that the invention may be practiced without these specific details. Some embodiments are not described in detail, but rather are merely provided as frameworks, in order to avoid unnecessarily obscuring aspects of the invention. Hereinafter, "including" means "including but not limited to", "according to … …" means "at least according to … …, but not limited to … … only". In view of the language convention of chinese, the following description, when it does not specifically state the number of a component, means that the component may be one or more, or may be understood as at least one.
The applicant found that: currently, the cloud of enterprises becomes a trend, and many enterprises are gradually migrating own businesses to a public cloud environment. Due to the consideration of multiple factors such as performance, regional distribution, safety and the like, most enterprises select a plurality of public cloud providers to provide services together when selecting the public cloud services, and under a multi-cloud environment, the enterprises need a scheme capable of providing unified analysis and management for the cost of each cloud platform urgently. Since the billing models used by various cloud service providers are not very similar, a challenge is presented to uniform cost management in a multi-cloud environment. At present, all public cloud manufacturers are independent of one another, and unified and integrated cost statistics cannot be achieved.
The applicant has also found that: cloud bill native data (CSV) can be obtained (for example, through a plug-in system) from each cloud platform bucket, and then general bill detail data are generated through extraction conversion (ETL), based on the converted data detail bill data, unified account breaking statistics gathering and storage are carried out according to bill authorization and bill splitting rules, and follow-up data analysis and display are facilitated.
Fig. 1 is a flowchart of a method for analyzing public cloud charging data according to an embodiment of the present invention.
As shown in fig. 1, the method includes:
step 101: the method comprises the steps of respectively obtaining cloud charging original data of cloud accounts of predetermined units in each public cloud platform from each public cloud platform of a plurality of public cloud platforms.
Herein, a public cloud platform generally refers to a cloud platform that a third party provider provides to a user to be able to use. Public cloud platforms are typically available over the Internet. For example, a public cloud platform may include: aliskiren, AWS, Baidu cloud, Hua is Enterprise cloud, Jingdong cloud, Jinshan cloud, Microsoft Azure, Qingyun, Tencent cloud and Ucloud, and so on.
The predetermined unit may be an independent cloud access party or a customer (such as a corporate user) directly enjoying cloud services. The cloud account numbers of the predetermined units in the public cloud platforms can be the same or different.
The cloud charging original data of the cloud account number of the predetermined unit in each public cloud platform can be respectively acquired from each public cloud platform of the public cloud platforms.
For example 1, assume that the predetermined unit is a clique user ABC. The group user ABC has a cloud account ABC12345 on the cloud platform 1, the group user a has a cloud account ABC12345 on the cloud platform 2, and the group user a has a cloud account ABC12345 on the cloud platform 3. Then, the cloud charging raw data of the cloud account ABC12345 is obtained from the cloud platform 1, the cloud charging raw data of the cloud account ABC12345 is obtained from the cloud platform 2, and the cloud charging raw data of the cloud account ABC12345 is obtained from the cloud platform 3.
For example 2, assume that the predetermined unit is a group user a. The group user a has a cloud account a111 on the cloud platform 1, the group user a has a cloud account a222 on the cloud platform 2, and the group user a has a cloud account a333 on the cloud platform 3. Then, the cloud charging raw data of the cloud account a111 is acquired from the cloud platform 1, the cloud charging raw data of the cloud account a222 is acquired from the cloud platform 2, and the cloud charging raw data of the cloud account a333 is acquired from the cloud platform 3.
Mainstream cloud service providers all provide a way for third parties to obtain their cost data. In the early stage, each cloud service provider provided billing data in the form of a billing file, and in the present stage, most of the providers also provided Application Program Interfaces (APIs) to allow third parties to obtain specific fee data by means of coding. Due to protection of API services, cloud service providers typically have more stringent limits on API call frequency. Therefore, in the real-time mode of the invention, the fee data is preferentially selected to be acquired from the bill file, and if the supplier does not provide the bill file, the fee data is acquired in the form of API, thereby avoiding the situation that the fee data cannot be acquired due to the fact that the calling frequency is exceeded because the API is frequently called.
Preferably, the billing data extraction plug-in framework is arranged in the embodiment of the invention, and for the docking of each cloud service provider, only the predefined interface in the plug-in framework needs to be realized.
In one embodiment, the step 101 of respectively acquiring, from each public cloud platform of a plurality of public cloud platforms, cloud charging raw data of a cloud account number of a predetermined unit in each public cloud platform includes: when at least one of the plurality of public cloud platforms has the capability of providing a billing file containing cloud charging raw data for the at least one public cloud platform, obtaining the billing file from the at least one public cloud platform.
In one embodiment, the step 101 of respectively acquiring, from each public cloud platform of a plurality of public cloud platforms, cloud charging raw data of a cloud account number of a predetermined unit in each public cloud platform includes: accessing at least one public cloud platform of the plurality of public cloud platforms based on an API manner when the at least one public cloud platform does not have the capability of providing a bill file containing cloud charging raw data of the at least one public cloud platform; providing respective search terms (such as billing period, service type, etc.) to the at least one public cloud platform based on the access; and obtaining cloud charging raw data corresponding to the respective retrieval items from the at least one public cloud platform.
Step 102: generating unified charging data of the predetermined unit and containing a triple group based on a plurality of cloud charging original data, wherein the triple group comprises an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform and a sub-tenant of the predetermined unit in each public cloud platform.
Here, the triple of the unified charging data of the predetermined unit is determined collectively based on the plurality of cloud charging raw data. The triple contains the identification of each public cloud platform, the cloud account number of the predetermined unit in each public cloud platform and the sub-tenant of the predetermined unit in each public cloud platform. The number of sub-tenants of the predetermined unit in the public cloud platform is usually multiple. A child tenant may be understood as the smallest unit of the tenant. When the predetermined unit is an independent cloud access party, the sub-tenant can be a customer of the cloud access party; when the predetermined unit is a customer (such as a company) directly enjoying the cloud service, the sub-tenant may be a sub-unit of the customer (such as a department within the company).
For example, the sub-tenants on different platforms are defined as follows:
(1) and Aliyun: a sub-tenant refers to a sub-account, a Resource Group (Resource Group), or a financial unit;
(2) hua is cloud: child tenants refer to enterprise items;
(3) AWS: the sub-tenants refer to resource groups of AWS sub-accounts or Global accounts, and currently, domestic AWS accounts do not support resource group service temporarily.
The process of determining the charging data of a child tenant may be referred to as authorization for the child tenant. Authorization of the billing particulars data may be done based on an authorization unit. The authorization unit authorizes cloud cost data to a minimum unit (i.e., a child tenant) of the tenant, whose definition specifies fields based on a unified detail data model.
Specifically, to simplify the authorization rule definition and combine with the actual scenario, the database Schema (Schema) of the authorization unit may be defined as a triple of < cloud platform, cloud account, sub-tenant >. And the tenant isolation rule mode of each cloud platform is system-defined and preferably not configurable. Here, the organization and structure of the Schema database may be a table (table), a column (column), a data type (data type), a view (view), a stored procedure (stored procedure), a relationship (relationships), a primary key (primary key), a foreign key (foreign key), and the like. Through data authorization, cost data actually generated on each cloud platform can be correctly distributed to sub-tenants (namely actual organizations and departments of users), and accurate analysis and prediction of enterprise cost are realized.
Moreover, unified charging data generated based on the plurality of cloud charging raw data shields the difference of each cloud platform, and a consistent data analysis and processing scheme can be used subsequently.
Fig. 2 is a block diagram of unified charging data according to an embodiment of the present invention.
As can be seen, the unified charging data includes a triple including an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform, and a sub-tenant of the predetermined unit in each public cloud platform.
In one embodiment, the unified charging data further comprises a billing period, a billing date and packet data, wherein the packet data is generated based on user-defined rules, wherein the user-defined rules comprise establishing a two-dimensional aggregated data type comprising a geographic area field adapted to populate a geographic area providing a service and a type of service field adapted to populate one or more types of service and charging data corresponding to each type of service.
For example, packet data is based on database storage JSON data capability to hold data (costs) based on generation with custom rules. For example, a rule is defined to aggregate data in two dimensions (Region, ServiceType). Wherein Region is a geographic area and ServiceType is a service type.
Examples are: JSON format data: { sh: { ecs:200, ebs:100 }; the method is characterized in that two cloud services are enjoyed in the Shanghai area (sh) of the cloud platform, namely an Elastic Computer Service (ECS) and an Elastic Block storage Service (EBS), wherein the ECS Service has a charging amount of 200 yuan and the EBS Service has a charging amount of 100 yuan.
Examples are: JSON format data: bj: { ecs:150, ebs:50} }; the method means that EBS cloud service and ECS service are enjoyed in a Beijing area (sh) of a cloud platform, wherein the charging amount of the ECS service is 150 yuan, and the charging amount of the EBS service is 50 yuan.
Step 103: performing a cost analysis based on the unified billing data.
Here, a cost analysis, such as data aggregation, may be performed on the unified billing data on a presentation demand basis. Preferably, when data aggregation is performed, data of different cloud platforms can be grouped and aggregated independently. For example, ECS of Aliskive cloud and EC2 of AWS would serve as two independent service types; the beijing area of arilocos and the beijing area of AWS will also be considered as two separate areas.
In one embodiment, the performing a cost analysis based on the unified billing data in step 103 includes: receiving a search field for searching across public cloud platforms; querying the unified charging data based on the retrieval field; query results across a public cloud platform are provided.
For example, when the retrieval field is ECS, the ECS of the arry cloud and the EC2 of the AWS may be exposed together as an independent service type, thereby implementing service query across public cloud platforms; when the retrieval field is Beijing, the Beijing area of the Aliskiu and the Beijing area of the AWS are jointly displayed as an independent area, so that the area query of the cross-public cloud platform is realized.
Fig. 3 is a schematic diagram illustrating an exemplary detailed process of analyzing public cloud charging data according to an embodiment of the present invention. Fig. 4 is a schematic diagram of an exemplary schematic process for analyzing public cloud charging data according to an embodiment of the present invention.
As can be seen from fig. 3 and 4, first, raw data of respective cloud fees is obtained from respective cloud service providers, and the raw data may be derived from APIs provided by cloud providers or from billing files provided by the cloud providers. Secondly, according to the authorization rule provided by the embodiment of the invention, each item of expense data is authorized so as to carry out subsequent cost analysis and use analysis. And finally, processing the data of each item of expense detail data according to the unified detail data model provided by the scheme. The processed cost data can be provided for external services to be called and inquired.
Fig. 5 is a structural diagram of an apparatus for analyzing public cloud billing data according to the present invention.
As shown in fig. 5, the apparatus for analyzing public cloud charging data includes:
an original data obtaining module 501, configured to obtain, from each public cloud platform of a plurality of public cloud platforms, cloud charging original data of a cloud account that a predetermined unit has in each public cloud platform;
a unified charging data generating module 502, configured to generate, based on a plurality of cloud charging raw data, unified charging data of the predetermined unit and including a triple, where the triple includes an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform, and a sub-tenant of the predetermined unit in each public cloud platform;
an analyzing module 503, configured to perform a fee analysis based on the unified charging data.
In one embodiment, the raw data obtaining module 501 is configured to obtain a bill file containing cloud charging raw data of at least one public cloud platform when the at least one public cloud platform has the capability of providing the bill file; accessing at least one public cloud platform of the plurality of public cloud platforms based on an application program interface manner when the at least one public cloud platform does not have the capability of providing a bill file containing cloud charging raw data of the at least one public cloud platform; providing respective search terms to the at least one public cloud platform based on the access; and obtaining cloud charging raw data corresponding to the respective retrieval items from the at least one public cloud platform.
In one embodiment, the unified charging data further includes a billing period, a billing date, and packet data, wherein the packet data is generated based on user-defined rules; wherein the user-defined rule comprises establishing a two-dimensional aggregated data type comprising a geographic area field adapted to populate a geographic area in which services are provided and a type of service field adapted to populate one or more types of services and charging data corresponding to each type of service.
In one embodiment, the analysis module 503 is configured to receive a search field across a public cloud platform; querying the unified charging data based on the retrieval field; query results across a public cloud platform are provided.
Fig. 6 is a block diagram of an apparatus for analyzing public cloud billing data having a memory-processor architecture according to the present invention.
As shown in fig. 6, an application automation deployment apparatus having a memory-processor architecture comprises: a processor 601 and a memory 602; wherein an application program executable by the processor 601 is stored in the memory 602 for causing the processor 601 to execute the method of analyzing public cloud billing data as described in any of the above.
The memory 602 may be implemented as various storage media such as an Electrically Erasable Programmable Read Only Memory (EEPROM), a Flash memory (Flash memory), and a Programmable Read Only Memory (PROM). Processor 401 may be implemented to include one or more central processors or one or more field programmable gate arrays that integrate one or more central processor cores. In particular, the central processor or central processor core may be implemented as a CPU or MCU.
It should be noted that not all steps and modules in the above flows and structures are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The division of each module is only for convenience of describing adopted functional division, and in actual implementation, one module may be divided into multiple modules, and the functions of multiple modules may also be implemented by the same module, and these modules may be located in the same device or in different devices.
The hardware modules in the various embodiments may be implemented mechanically or electronically. For example, a hardware module may include a specially designed permanent circuit or logic device (e.g., a special purpose processor such as an FPGA or ASIC) for performing specific operations. A hardware module may also include programmable logic devices or circuits (e.g., including a general-purpose processor or other programmable processor) that are temporarily configured by software to perform certain operations. The implementation of the hardware module in a mechanical manner, or in a dedicated permanent circuit, or in a temporarily configured circuit (e.g., configured by software), may be determined based on cost and time considerations.
The present invention also provides a machine-readable storage medium storing instructions for causing a machine to perform a method according to an embodiment of the present invention. Specifically, a system or an apparatus equipped with a storage medium on which a software program code that realizes the functions of any one of the above-described embodiments is stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program code stored in the storage medium. Further, part or all of the actual operations may be performed by an operating system or the like operating on the computer by instructions based on the program code. The functions of any of the above-described embodiments may also be implemented by writing the program code read out from the storage medium to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causing a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on the instructions of the program code.
Examples of the storage medium for supplying the program code include floppy disks, hard disks, magneto-optical disks, optical disks (e.g., CD-ROMs, CD-R, CD-RWs, DVD-ROMs, DVD-RAMs, DVD-RWs, DVD + RWs), magnetic tapes, nonvolatile memory cards, and ROMs. Alternatively, the program code may be downloaded from a server computer via a communications network.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for analyzing public cloud charging data is characterized by comprising the following steps:
respectively acquiring cloud charging original data of a cloud account number of a preset unit in each public cloud platform from each public cloud platform of a plurality of public cloud platforms;
generating unified charging data of the predetermined unit and containing a triple group based on a plurality of cloud charging original data, wherein the triple group comprises an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform and a sub-tenant of the predetermined unit in each public cloud platform;
performing a cost analysis based on the unified billing data.
2. The method for analyzing public cloud charging data according to claim 1, wherein the respectively obtaining, from each public cloud platform of the plurality of public cloud platforms, cloud charging raw data of a cloud account number of a predetermined unit in each public cloud platform comprises:
when at least one public cloud platform in the plurality of public cloud platforms has the capacity of providing a bill file containing cloud charging raw data of the at least one public cloud platform, acquiring the bill file from the at least one public cloud platform;
accessing at least one public cloud platform of the plurality of public cloud platforms based on an application program interface manner when the at least one public cloud platform does not have the capability of providing a bill file containing cloud charging raw data of the at least one public cloud platform; providing respective search terms to the at least one public cloud platform based on the access; and obtaining cloud charging raw data corresponding to the respective retrieval items from the at least one public cloud platform.
3. The method of analyzing public cloud billing data of claim 1 wherein the unified billing data further comprises billing period, billing date and packet data, wherein the packet data is generated based on user defined rules, wherein the user defined rules comprise establishing a two dimensional aggregated data type comprising a geographic area field adapted to populate a geographic area providing a service and a service type field adapted to populate one or more service types and billing data corresponding to each service type.
4. The method of analyzing public cloud billing data of claim 1,
the performing a cost analysis based on the unified billing data comprises:
receiving a search field for searching across public cloud platforms;
querying the unified charging data based on the retrieval field;
query results across a public cloud platform are provided.
5. An apparatus for analyzing public cloud billing data, comprising:
the system comprises an original data acquisition module, a data processing module and a data processing module, wherein the original data acquisition module is used for respectively acquiring cloud charging original data of a cloud account number of a preset unit in each public cloud platform of a plurality of public cloud platforms;
a unified charging data generation module, configured to generate unified charging data, which includes a triple, for the predetermined unit based on a plurality of the cloud charging raw data, where the triple includes an identifier of each public cloud platform, a cloud account number of the predetermined unit in each public cloud platform, and a sub-tenant of the predetermined unit in each public cloud platform;
and the analysis module is used for executing fee analysis based on the unified charging data.
6. The apparatus for analyzing public cloud billing data of claim 5,
a raw data obtaining module, configured to obtain a bill file containing cloud charging raw data of at least one public cloud platform when the at least one public cloud platform has a capability of providing the bill file; accessing at least one public cloud platform of the plurality of public cloud platforms based on an application program interface manner when the at least one public cloud platform does not have the capability of providing a bill file containing cloud charging raw data of the at least one public cloud platform; providing respective search terms to the at least one public cloud platform based on the access; and obtaining cloud charging raw data corresponding to the respective retrieval items from the at least one public cloud platform.
7. The apparatus to analyze public cloud billing data of claim 5, wherein the unified billing data further comprises a billing period, a billing date, and packet data, wherein the packet data is generated based on user-defined rules; wherein the user-defined rule comprises establishing a two-dimensional aggregated data type comprising a geographic area field adapted to populate a geographic area in which services are provided and a type of service field adapted to populate one or more types of services and charging data corresponding to each type of service.
8. The apparatus for analyzing public cloud billing data of claim 5,
the analysis module is used for receiving a retrieval field across the public cloud platform; querying the unified charging data based on the retrieval field; query results across a public cloud platform are provided.
9. An apparatus for analyzing public cloud billing data, comprising: a memory; a processor; wherein the memory has stored therein an application executable by the processor for causing the processor to perform the method of analyzing public cloud billing data of any of claims 1 to 4.
10. A computer-readable storage medium having computer-readable instructions stored therein for performing the method of analyzing public cloud billing data of any of claims 1 to 4.
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