CN110865817B - Cloud computing platform resource metering method and system - Google Patents
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Abstract
The invention discloses a cloud computing platform resource metering method and a cloud computing platform resource metering system, which are used for solving the problems that the cloud computing resources cannot be clearly and definitely attributed to users and the resource attribution cannot be defined when the same resource is shared by a plurality of applications. The method comprises the following steps: grading users and applications; establishing a resource attribution rule, and carrying out application attribution on each resource; a resource ownership measure for the user and a resource usage measure for the user; setting the attribution of the resource operation authority of the user, and recovering and reassigning the resource. The system comprises: the system comprises a grading module, a resource attribution rule module, a resource application attribution module, a resource ownership measurement module, a resource usage measurement module, a resource operation authority module and a recycling and reassigning module. The method can effectively define the resource ownership of the cloud platform so as to measure the resource ownership of the cloud platform, and realize the recovery and redistribution of resources through the processing of the resource ownership and the use right.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a cloud computing platform resource metering method and a cloud computing platform resource metering system.
Background
With the development of cloud computing technology, more and more government departments do not build own machine rooms, but deploy own applications in independent third party cloud centers. To save cloud resources, a third party cloud center may deploy multiple applications on the same cloud host. Different from common electronic commerce, the cloud computing platform can normally use the cloud computing resources along with multiple services, and one host computer needs to be configured with multiple resources to provide the users with the resources, so that the resources required by each application need to be clear, and the resource quantity of each user needs to be clear.
In the prior art, under the condition that one host has a plurality of applications, resource accounting is generally carried out by adopting a resource sharing mode; carrying out resource accounting in a resource sharing mode under the condition that one Internet IP corresponds to a plurality of application accesses; for the situation that the same application occupies a plurality of hosts and shares one IP or storage space with other applications, a definite fixed resource membership cannot be given yet, so that the resource is recovered, and cost accounting cannot be normally performed. For a plurality of users to share one resource pool at the same time, the attribution of the resources cannot be clearly checked, and therefore, when the users are not used any more, the resources cannot be recovered normally. For users who purchase resources according to the amount of resources, the cloud service manufacturer cannot effectively utilize the resources.
Disclosure of Invention
The invention provides a cloud computing platform resource metering method and a cloud computing platform resource metering system, which are used for solving the problems that the cloud computing resources cannot be clearly and definitely attributed to users and the resource attribution cannot be defined when the same resource is shared by a plurality of applications.
The invention discloses a cloud computing platform resource metering method, which comprises the following steps: grading users and applications; establishing a resource attribution rule, and carrying out application attribution on each resource; a resource ownership measure for the user and a resource usage measure for the user; setting the attribution of the resource operation authority of the user, and recovering and reassigning the resource.
Further, the grading the user and the application specifically includes: setting three levels of user levels, from high to low, including: core users, important users and common users; setting four application levels from high to low comprises: high density applications, important applications, general applications and general systems.
Further, the establishing the resource attribution rule specifically includes: the core user monopolizes the resource and cannot share the resource with other users; the high-density application of the important user and the important application monopolize resources, and general application resources can be shared; all resources of the common user can be shared; when the important user shares the resource with the common user, the resource belongs to the common application of the important user; when the same application is shared with the same application of the user, the resources are attributed to the first-used application; the application of the common user, the resource is larger than the common application according to the important application, and the common application is larger than the condition of the common system to confirm the attribution.
Further, the application attribution for each resource specifically includes: performing initial attribution and recording on the application without time recording to finish historical resource attribution; and carrying out automatic attribution of the resources according to the established resource attribution rule for new resource attribution.
Further, after the attribution of the history resource and the new resource is completed, a resource structure diagram between the user grade and the application grade is established.
Further, the resource ownership metric for the user specifically includes: the resource quantity of all applications under the core user is counted into the resource ownership quantity of the user; the resource quantity of all applications under the important user is counted into the resource ownership quantity of the user; when the important application of the common user is not shared, the user has the ownership of the resource, when the application of the common user is shared, the ownership of the application is determined according to the ownership of the resource, and then the ownership of the common user is determined according to the ownership.
Further, the metering of the resource usage amount of the user specifically includes: the core user resource usage is the user resource ownership; the important user resource usage amount is the user resource ownership weight; the resource usage of the common user is the sum of the user resource ownership and the resource amount allocated to all applications under the user in the shared resource.
Further, the setting the attribution of the resource operation authority of the user specifically includes: the core user has the authority to view the details of the resources, operate the business, apply for processing the work orders, clear and bind; the important user has the authority to view the details of the high-density application and the important application, has the complete treatment authority to the high-density application and the important application, and has the authority to view the size parameters of the general application resources; the common user has the right to view the size parameter of the resource and has no direct operation right.
Further, the recovering and reassigning the resources specifically includes: after the core user executes resource clearing, formatting the cleared resources, and putting the formatted resources into a resource pool again; after the important user executes resource clearing on the high-density application or important application resource, formatting is executed on the cleared resource, and the formatted resource is put into a resource pool again; if the general application resources of the important users are shared, the resources are re-allocated to the resource pool, and if the general application resources are shared, the resources are re-allocated according to the established resource allocation rules;
if the common user has no shared resource, automatically formatting and then putting the common user into a resource pool again; if the resources of the common user are shared, the resources used by the corresponding application of the user are cleared; and the rest resources re-assign the resources according to the established resource assignment rule.
Further, the cost is displayed when the ownership of the user resource is configured and the usage amount of the user resource is measured, and if the cost is higher than the account limit and the credit limit, the prompt is carried out.
The invention discloses a cloud computing platform resource metering system, which comprises: the grading module is used for grading users and applications; the resource attribution rule module is used for establishing a resource attribution rule; the resource application attribution module is used for carrying out application attribution on each resource; the resource ownership measurement module is used for measuring the resource ownership of the user; the resource usage metering module is used for metering the resource usage of the user; the resource operation authority module is used for setting the attribution of the resource operation authority of the user; and the recycling and reassigning module is used for recycling and reassigning the resources.
Further, the grading module grades the users and the applications, and specifically includes: setting three levels of user levels, from high to low, including: core users, important users and common users; setting four application levels from high to low comprises: high density applications, important applications, general applications and general systems.
Further, the resource attribution rule established by the resource attribution rule module specifically includes: the core user monopolizes the resource and cannot share the resource with other users; the high-density application of the important user and the important application monopolize resources, and general application resources can be shared; all resources of the common user can be shared; when the important user shares the resource with the common user, the resource belongs to the common application of the important user; when the same application is shared with the same application of the user, the resources are attributed to the first-used application; the application of the common user, the resource is larger than the common application according to the important application, and the common application is larger than the condition of the common system to confirm the attribution.
Further, the resource application attribution module performs application attribution on each resource, which specifically includes: performing initial attribution and recording on the application without time recording to finish historical resource attribution; and carrying out automatic attribution of the resources on the new resources according to the resource attribution rule established by the resource attribution rule module.
Further, after the resource application attribution module completes attribution of the historical resources and the new resources, a resource structure diagram between the user grade and the application grade is also established.
Further, the resource ownership measurement module specifically includes: the resource quantity of all applications under the core user is counted into the resource ownership quantity of the user; the resource quantity of all applications under the important user is counted into the resource ownership quantity of the user; when the important application of the common user is not shared, the user has the ownership of the resource, when the application of the common user is shared, the ownership of the application is determined according to the ownership of the resource, and then the ownership of the common user is determined according to the ownership.
Further, the resource usage metering module meters the resource usage of the user, and specifically includes: the core user resource usage is the user resource ownership; the important user resource usage amount is the user resource ownership weight; the resource usage of the common user is the sum of the user resource ownership and the resource amount allocated to all applications under the user in the shared resource.
Further, the resource operation authority module sets the attribution of the resource operation authority of the user, and specifically includes: the core user has the authority to view the details of the resources, operate the business, apply for processing the work orders, clear and bind; the important user has the authority to view the details of the high-density application and the important application, has the complete treatment authority to the high-density application and the important application, and has the authority to view the size parameters of the general application resources; the common user has the right to view the size parameter of the resource and has no direct operation right.
Further, the recycling and reassigning module recycles and reassigns the resources, which specifically includes: after the core user executes resource clearing, formatting the cleared resources, and putting the formatted resources into a resource pool again; after the important user executes resource clearing on the high-density application or important application resource, formatting is executed on the cleared resource, and the formatted resource is put into a resource pool again; if the general application resources of the important users are shared, the resources are re-allocated to the resource pool, and if the general application resources are shared, the resources are re-allocated according to the established resource allocation rules; if the common user has no shared resource, automatically formatting and then putting the common user into a resource pool again; if the resources of the common user are shared, the resources used by the corresponding application of the user are cleared; and the rest resources re-assign the resources according to the established resource assignment rule.
Further, the resource ownership measurement module displays the cost when measuring the user's resource ownership measurement or the resource usage measurement module measures the user's resource usage, and if the cost is higher than the account and credit, the prompt is given.
According to the cloud computing platform resource metering method and system, through clear resource division, when a resource owner does not use the resource any more, recovery, allocation and redistribution of the resource are realized. And further presents the resource list to the user, so that the resources can be managed and configured by the possession of the resources. And the measurement of the ownership of the resources of the user and the application is realized, and the measurement of the use amount of the user resources is realized. Further, an accurate reference basis is provided for generating service fees for the user cloud service.
Drawings
FIG. 1 is a flowchart of a method for metering resources of a cloud computing platform according to embodiment 1 of the present invention;
fig. 2 is a schematic structural diagram of a cloud computing platform resource metering system according to embodiment 2 of the present invention.
Detailed Description
The method aims at solving the problems that the cloud computing resource cannot be clearly and definitely assigned to the user and the resource assignment cannot be defined when the same resource is shared by a plurality of applications. The inventor provides a cloud computing platform resource metering method and a cloud computing platform resource metering system through researches, and the main idea is to grade applications and users; establishing a resource attribution rule; performing application attribution on each resource; setting the attribution of the resource operation authority of the user; a resource ownership measure of the user; a resource usage measure of the user; and (5) recycling and reassigning resources. The following is a detailed description of examples.
Embodiment 1, the cloud computing platform resource metering method of the present embodiment, as shown in fig. 1, includes the following main steps:
s10, grading the users and the applications.
The step is a preset step, and specifically, user grades can be set and numbered, wherein the user grades are A-core users, B-important users and C-common users.
Setting application grades and numbering, wherein the application grades are A-high-density application, B-important application, C-general application and D-general system.
Thereafter, the user level is associated with the application level. Such as the following table:
| user level/application level | A | B | C | D |
| A | √ | √ | ╳ | ╳ |
| B | √ | √ | √ | ╳ |
| C | ╳ | √ | √ | √ |
S11, establishing a resource attribution rule, and carrying out application attribution on each resource.
In this step, the established resource attribution rule may specifically include:
(1) Class a users monopolize resources and must not share resources with other users.
(2) Class a and class B applications of class B users monopolize resources and class C application resources will be shareable.
(3) All resources for class C users may be shared.
(4) When the B-class user and the C-class user share the resource, the resource belongs to the C-class application of the B-class user.
(5) When the same application is shared with the same application of the user, the resource is attributed to the first-used application.
(6) And (3) the application of the class C user, and the resource confirms the attribution according to the condition of B > C > D.
In this step, the application attribution for each resource specifically includes:
(1) And (3) attributing historical resources, artificially attributing and recording the application without time recording.
(2) And the new resources are attributed, and the automatic attribution of the resources is carried out according to the resource attribution rule.
(3) And establishing a user, application and resource structure diagram.
S12, measuring the resource ownership of the user and measuring the resource usage of the user.
In this step, the resource ownership measure for the user specifically includes:
(1) The resource amount of all applications under the class A user accounts for the resource ownership amount of the user.
(2) The resource amount of all applications under the class B user accounts for the user's resource ownership.
(3) When the B-class resources of the C-class users are not shared, the C-class users have the ownership of the resources, when the application of the C-class users is shared, the ownership is determined according to the attribution application, and the ownership of the C-class users is determined according to the ownership.
In this step, the resource usage metering for the user specifically includes:
(1) The resource usage of the class A user is the resource ownership.
(2) The resource usage of the B-class user is the resource ownership.
(3) The resource usage of the class C user is the sum of the resource ownership and the resource pool quantity of all applications allocated to the user in the shared resource pool.
S13, setting the attribution of the resource operation authority of the user, and recovering and reassigning the resource.
In this step, setting the resource operation authority attribution of the user specifically includes:
(1) The A-class user can check the details of the resources, operate the business, apply for the work order processing, clear and bind.
(2) The B class users can see the details of the A and B tired resources and have complete treatment authority on the A and B classes; class C resources only provide a resource amount size parameter.
(3) The C-class user only provides the resource size parameter, and has no direct operation authority.
(4) And when the user configures the resource use rule, displaying the expense, wherein the expense is higher than the account limit and the credit limit, and prompting.
In this step, the recovery and reassignment of resources specifically includes:
(1) After the class A user performs resource purging, formatting is performed on the purged resources. Formatting resources will be reinjected into the resource pool.
(2) Class A and class B resources of class B users, after the users execute resource clearing, formatting the cleared resources, and putting the formatted resources into a resource pool again; and if the resources are not shared, formatting is carried out, the formatted resources are put into the resource pool again, and if the resources are shared, the shared resources are re-allocated according to the resource allocation rule.
(3) If the resources of the class C users are not shared, the resources are automatically formatted by the system and then are put into the resource pool again, specifically, when the resources are recovered, according to the core degree of the users, the selection judgment and the system judgment are selected, and the recovery of the resources of the class C users is completed by the system according to the condition triggering computer instructions; if the resources are shared, the used resources of the corresponding application of the user are cleared; and if the rest resources exist, carrying out shared resource re-attribution according to the resource attribution rule.
According to the cloud computing platform resource metering method, the resource ownership of the cloud platform is effectively defined, so that the measurement of the resource ownership of the cloud platform is achieved, and the recovery and the redistribution of the resources are achieved through the processing of the resource ownership and the utilization right.
Embodiment 2, the cloud computing platform resource metering system of the present embodiment, as shown in fig. 2, includes: a hierarchy module 20, a resource attribution rules module 21, a resource application attribution module 22, a resource ownership metrics module 23, a resource usage metrics module 24, a resource operation rights module 25, and a reclamation and reassignment module 26.
The ranking module 20 may specifically set user ranks and number, the user ranks being A-core users, B-important users, C-ordinary users. Setting application grades and numbering, wherein the application grades are A-high-density application, B-important application, C-general application and D-general system. Thereafter, the user level is associated with the application level. Such as the following table:
| user level/application level | A | B | C | D |
| A | √ | √ | ╳ | ╳ |
| B | √ | √ | √ | ╳ |
| C | ╳ | √ | √ | √ |
The resource attribution rule established by the resource attribution rule module 21 may specifically include:
(1) Class a users monopolize resources and must not share resources with other users.
(2) Class a and class B applications of class B users monopolize resources and class C application resources will be shareable.
(3) All resources for class C users may be shared.
(4) When the B-class user and the C-class user share the resource, the resource belongs to the C-class application of the B-class user.
(5) When the same application is shared with the same application of the user, the resource is attributed to the first-used application.
(6) And (3) the application of the class C user, and the resource confirms the attribution according to the condition of B > C > D.
The resource application attribution module 22 specifically performs application attribution on for each resource, including:
(1) And (3) attributing historical resources, artificially attributing and recording the application without time recording.
(2) And the new resources are attributed, and the automatic attribution of the resources is carried out according to the resource attribution rule.
(3) And establishing a user, application and resource structure diagram.
The resource ownership metric module 23 specifically includes, for the user's resource ownership metrics:
(1) The resource amount of all applications under the class A user accounts for the resource ownership amount of the user.
(2) The resource amount of all applications under the class B user accounts for the user's resource ownership.
(3) When the B-class resources of the C-class users are not shared, the C-class users have the ownership of the resources, when the application of the C-class users is shared, the ownership is determined according to the attribution application, and the ownership of the C-class users is determined according to the ownership.
The resource usage metering module 24 specifically includes:
(1) The resource usage of the class A user is the resource ownership.
(2) The resource usage of the B-class user is the resource ownership.
(3) The resource usage of the class C user is the sum of the resource ownership and the resource pool quantity of all applications allocated to the user in the shared resource pool.
The resource operation authority module 25 sets the resource operation authority attribution of the user specifically includes:
(1) The A-class user can check the details of the resources, operate the business, apply for the work order processing, clear and bind.
(2) The B class users can see the details of the A and B tired resources and have complete treatment authority on the A and B classes; class C resources only provide a resource amount size parameter.
(3) The C-class user only provides the resource size parameter, and has no direct operation authority.
(4) And when the user configures the resource use rule, displaying the expense, wherein the expense is higher than the account limit and the credit limit, and prompting.
The reclamation and redistribution module 26 specifically includes:
(1) After the class A user performs resource purging, formatting is performed on the purged resources. Formatting resources will be reinjected into the resource pool.
(2) Class A and class B resources of class B users, after the users execute resource clearing, formatting the cleared resources, and putting the formatted resources into a resource pool again; and if the resources are not shared, formatting is carried out, the formatted resources are put into the resource pool again, and if the resources are shared, the shared resources are re-allocated according to the resource allocation rule.
(3) If the resources of the class C users are not shared, the resources are automatically formatted by the system and then are put into the resource pool again, specifically, when the resources are recovered, according to the core degree of the users, the selection judgment and the system judgment are selected, and the recovery of the resources of the class C users is completed by the system according to the condition triggering computer instructions; if the resources are shared, the used resources of the corresponding application of the user are cleared; and if the rest resources exist, carrying out shared resource re-attribution according to the resource attribution rule.
According to the cloud computing platform resource metering system, the resource ownership of the cloud platform is effectively defined, so that the measurement of the resource ownership of the cloud platform is achieved, and the recovery and the redistribution of the resources are achieved through the processing of the resource ownership and the utilization right.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (14)
1. The cloud computing platform resource metering method is characterized by comprising the following steps of:
grading users and applications;
establishing a resource attribution rule, and carrying out application attribution on each resource;
a resource ownership measure for the user and a resource usage measure for the user;
setting the attribution of the resource operation authority of the user, recovering and reassigning the resource,
the grading of the users and the applications specifically comprises the following steps:
setting three levels of user levels, from high to low, including: core users, important users and common users;
setting four application levels from high to low comprises: high density applications, important applications, general applications and general systems,
the establishing the resource attribution rule specifically comprises the following steps:
the core user monopolizes the resource and cannot share the resource with other users;
the high-density application of the important user and the important application monopolize resources, and general application resources can be shared;
all resources of the common user can be shared;
when the important user shares the resource with the common user, the resource belongs to the common application of the important user;
when the same application is shared with the same application of the user, the resources are attributed to the first-used application;
the application of the common user, the resource is larger than the common application according to the important application, the common application is larger than the condition of the common system to confirm the attribution,
the resource ownership measurement for the user specifically comprises the following steps:
the resource quantity of all applications under the core user is counted into the resource ownership quantity of the user;
the resource quantity of all applications under the important user is counted into the resource ownership quantity of the user;
when the important application of the common user is not shared, the user has the ownership of the resource, when the application of the common user is shared, the ownership of the application is determined according to the ownership of the resource, and then the ownership of the common user is determined according to the ownership.
2. The cloud computing platform resource metering method according to claim 1, wherein the application attribution is performed on each resource, specifically comprising:
performing initial attribution and recording on the application without time recording to finish historical resource attribution;
and carrying out automatic attribution of the resources according to the established resource attribution rule for new resource attribution.
3. The method of claim 2, wherein after the historical resources and the new resources are attributed, a resource structure diagram between the user level and the application level is established.
4. The cloud computing platform resource metering method of claim 1, wherein the metering of the resource usage of the user specifically comprises:
the core user resource usage is the user resource ownership;
the important user resource usage amount is the user resource ownership weight;
the resource usage of the common user is the sum of the user resource ownership and the resource amount allocated to all applications under the user in the shared resource.
5. The cloud computing platform resource metering method of claim 2, wherein the setting the attribution of the resource operation authority of the user specifically comprises:
the core user has the authority to view the details of the resources, operate the business, apply for processing the work orders, clear and bind;
the important user has the authority to view the details of the high-density application and the important application, has the complete treatment authority to the high-density application and the important application, and has the authority to view the size parameters of the general application resources;
the common user has the right to view the size parameter of the resource and has no direct operation right.
6. The cloud computing platform resource metering method of claim 5, wherein the recovering and reassigning the resources specifically comprises:
after the core user executes resource clearing, formatting the cleared resources, and putting the formatted resources into a resource pool again;
after the important user executes resource clearing on the high-density application or important application resource, formatting is executed on the cleared resource, and the formatted resource is put into a resource pool again; for the general application of important users, if the resources are not shared, formatting is carried out, formatted resources are re-put into a resource pool, and if the general application resources are shared, the re-attribution of the resources is carried out according to the established resource attribution rule;
if the common user has no shared resource, automatically formatting and then putting the common user into a resource pool again; if the resources of the common user are shared, the resources used by the corresponding application of the user are cleared; and the rest resources re-assign the resources according to the established resource assignment rule.
7. The method of claim 4, wherein a fee is displayed when configuring ownership of the user resource and metering usage of the user resource, and if the fee is greater than the account and credit, the fee is prompted.
8. A cloud computing platform resource metering system, comprising:
the grading module is used for grading users and applications;
the resource attribution rule module is used for establishing a resource attribution rule;
the resource application attribution module is used for carrying out application attribution on each resource;
the resource ownership measurement module is used for measuring the resource ownership of the user;
the resource usage metering module is used for metering the resource usage of the user;
the resource operation authority module is used for setting the attribution of the resource operation authority of the user;
a recycling and reassigning module for recycling and reassigning resources,
the grading module grades the users and the applications, and specifically comprises the following steps:
setting three levels of user levels, from high to low, including: core users, important users and common users;
setting four application levels from high to low comprises: high density applications, important applications, general applications and general systems,
the resource attribution rule established by the resource attribution rule module specifically comprises the following steps:
the core user monopolizes the resource and cannot share the resource with other users;
the high-density application of the important user and the important application monopolize resources, and general application resources can be shared;
all resources of the common user can be shared;
when the important user shares the resource with the common user, the resource belongs to the common application of the important user;
when the same application is shared with the same application of the user, the resources are attributed to the first-used application;
the application of the common user, the resource is larger than the common application according to the important application, the common application is larger than the condition of the common system to confirm the attribution,
the resource ownership measurement module measures the resource ownership of the user, and specifically comprises the following steps:
the resource quantity of all applications under the core user is counted into the resource ownership quantity of the user;
the resource quantity of all applications under the important user is counted into the resource ownership quantity of the user;
when the important application of the common user is not shared, the user has the ownership of the resource, when the application of the common user is shared, the ownership of the application is determined according to the ownership of the resource, and then the ownership of the common user is determined according to the ownership.
9. The cloud computing platform resource metering system of claim 8, wherein the resource application attribution module performs application attribution on each resource, specifically comprising:
performing initial attribution and recording on the application without time recording to finish historical resource attribution;
and carrying out automatic attribution of the resources on the new resources according to the resource attribution rule established by the resource attribution rule module.
10. The cloud computing platform resource metering system of claim 9, wherein said resource application attribution module further establishes a resource structure diagram between a user level and an application level after said historical resource and new resource attribution is completed.
11. The cloud computing platform resource metering system of claim 8, wherein the resource usage metering module meters the user's resource usage, comprising:
the core user resource usage is the user resource ownership;
the important user resource usage amount is the user resource ownership weight;
the resource usage of the common user is the sum of the user resource ownership and the resource amount allocated to all applications under the user in the shared resource.
12. The cloud computing platform resource metering system of claim 9, wherein the resource operation authority module sets the resource operation authority attribution of the user, specifically comprising:
the core user has the authority to view the details of the resources, operate the business, apply for processing the work orders, clear and bind;
the important user has the authority to view the details of the high-density application and the important application, has the complete treatment authority to the high-density application and the important application, and has the authority to view the size parameters of the general application resources;
the common user has the right to view the size parameter of the resource and has no direct operation right.
13. The cloud computing platform resource metering system of claim 12, wherein said reclamation and redistribution module reclaims and redistributes resources, comprising:
after the core user executes resource clearing, formatting the cleared resources, and putting the formatted resources into a resource pool again;
after the important user executes resource clearing on the high-density application or important application resource, formatting is executed on the cleared resource, and the formatted resource is put into a resource pool again; for the general application of important users, if the resources are not shared, formatting is carried out, formatted resources are re-put into a resource pool, and if the general application resources are shared, the re-attribution of the resources is carried out according to the established resource attribution rule;
if the common user has no shared resource, automatically formatting and then putting the common user into a resource pool again; if the resources of the common user are shared, the resources used by the corresponding application of the user are cleared; and the rest resources re-assign the resources according to the established resource assignment rule.
14. The cloud computing platform resource metering system of claim 11, wherein the resource ownership metering module displays a fee for metering the user's resource ownership amount or the resource usage metering module meters the user's resource usage amount, and if the fee is higher than the account amount and the credit amount, the fee is prompted.
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