CN114237873A - Resource management system and method under private cloud environment - Google Patents
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Abstract
The invention relates to resource management, in particular to a resource management system and a resource management method under a private cloud environment, which comprises a main control module and a resource unit generation module, wherein the resource unit generation module clusters computing resources with the same or similar configuration characteristics to generate resource units; the technical scheme provided by the invention can effectively overcome the defects that the configuration of computing resources is complicated and fussy and the safety of data resources when the access terminal accesses data in the prior art can not be ensured.
Description
Technical Field
The invention relates to resource management, in particular to a resource management system and method under a private cloud environment.
Background
In a real business environment, cloud service provider resources in different global regional market environments are often required to be uniformly managed in a multi-cloud environment. For example, north america and europe employ AWS or Azure Cloud resources, while in china the airy and tenuous Cloud services are employed. In the private Cloud aspect, even the private Cloud platform built based on the OpenStack source may need to be compatible with different OpenStack conditions or versions (e.g., lenoo think Cloud product or Ubuntu Cloud product, etc.) because the platform construction time is different. Managing different cloud resources in a centralized manner requires that the orchestration environment be compatible with different APIs, and realizes unified resource management. In addition, centralized management of a differentiated cloud platform is realized, and standardized resource management is realized to the greatest extent. For example, the message queue service may deploy kafka clusters on the AWS platform by purchasing EC2 nodes, while on the ari cloud, aliyun kafka products are purchased.
For security, a large enterprise generally uses its own private cloud for data resource management. When a private cloud is constructed, computing resources are generally required to be configured according to user use requirements, but the whole configuration process is complex and tedious, and lacks flexibility, and after the private cloud is constructed, the data resource safety of an access terminal during data access cannot be guaranteed.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a resource management system and a resource management method in a private cloud environment, which can effectively overcome the defects that the computing resource configuration is complicated and fussy and the data resource safety of an access terminal during data access in the prior art cannot be ensured.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a management resource system under a private cloud environment comprises a main control module and a resource unit generation module, wherein the resource unit generation module clusters computing resources with the same or similar configuration characteristics to generate resource units, the main control module acquires demand information of a user on the private cloud computing resources through a user demand acquisition module, the main control module performs resource unit matching on the private cloud through a resource unit matching module based on the demand information, and selects the computing resources from the matched resource units through a computing resource configuration module to perform computing resource configuration;
the main control module carries out data access task interaction with the access terminal through the access task interaction module, the main control module analyzes a data access request sent by the access terminal through the access request analysis module, and the main control module carries out return processing on access data through the access data processing module based on a data access request analysis result.
Preferably, the system further comprises a configuration policy generation module, wherein the configuration policy generation module generates a computing resource configuration policy about the private cloud based on the demand information, and the computing resource configuration policy contains demand quantity information and demand time information about computing resources.
Preferably, the system further comprises a charging rule setting module and a configuration cost statistics module, wherein the charging rule setting module sets a charging rule related to the computing resource for each resource unit, the configuration cost statistics module estimates the configuration cost of the private cloud by combining the computing resource configuration policy and the charging rule, and the computing resource configuration module determines whether to configure the computing resource by combining the configuration cost.
Preferably, when the computing resource configuration module judges that the configuration cost is within the user budget, the resource unit matching module judges that the user requirements are met, and performs resource unit matching on the private cloud based on the requirement information; otherwise, the resource unit matching module judges that the user requirements cannot be met, and returns configuration failure information to the user.
Preferably, when the resource unit matching module judges that one matching resource unit is matched based on the characteristics of the computing resources, the resource unit matching module performs resource unit matching on the private cloud, and the computing resource allocation module selects a proper amount of computing resources from the matching resource units based on the required amount information to perform computing resource allocation;
and when the resource unit matching module judges that the number of matched resource units is multiple based on the characteristics of the computing resources, the resource unit matching module sequentially matches the resource units of the private cloud, and the computing resource allocation module selects a proper number of computing resources from the matched resource units based on the required quantity information to allocate the computing resources.
Preferably, the demand information includes computing resource characteristics, demand amount information, and demand time information.
Preferably, the access task interaction module receives a data access request sent by an access terminal, the access request analysis module analyzes an address of the access terminal to obtain an access right, and the main control module verifies the access right of the access terminal and returns a verification result to the access task interaction module.
Preferably, the access data processing module performs return processing on the access data based on the data access request analysis result, and includes:
s1, after the access terminal passes the verification, the access task interaction module forwards the access address information to the access data processing module, and the access data processing module carries out return processing on the access data;
s2, the access data processing module analyzes the ID of the accessed web application according to the access address information and selects a web application running copy to process by combining a preset scheduling rule;
s3, the web application runs the copy to process the data access request, and specific data calling is completed;
and S4, the web application returns the calling result to the access data processing module, and the access data processing module returns the calling result to the access terminal.
Preferably, the system further comprises a computing resource monitoring module and a computing resource releasing module, wherein the computing resource monitoring module monitors the utilization rate of the configured computing resources in real time, and the computing resource releasing module releases the computing resources with the utilization rate smaller than the threshold value.
A method for managing resources in a private cloud environment comprises the following steps:
s1, clustering the computing resources with the same or similar configuration characteristics to generate resource units;
s2, generating a computing resource configuration strategy about the private cloud based on the demand information, setting a charging rule about computing resources for each resource unit, and estimating configuration cost for the private cloud by combining the computing resource configuration strategy and the charging rule;
s3, when the configuration cost is within the user budget, judging that the user requirements are met, and performing resource unit matching on the private cloud based on the requirement information; otherwise, judging that the user requirements cannot be met, and returning configuration failure information to the user;
s4, performing resource unit matching on the private cloud based on the computing resource characteristics, and selecting a proper amount of computing resources from the matched resource units based on the required amount information to perform computing resource configuration;
s5, receiving a data access request sent by an access terminal, analyzing the address of the access terminal, acquiring access authority, and verifying the access authority of the access terminal;
and S6, after the access terminal passes the verification, returning the access data based on the analysis result of the data access request.
(III) advantageous effects
Compared with the prior art, the resource management system and method under the private cloud environment provided by the invention have the following beneficial effects:
1) firstly clustering computing resources with the same or similar configuration characteristics to generate resource units, generating a computing resource configuration strategy related to the private cloud based on the requirement information, and combining user budget, computing resource characteristics and required quantity information to flexibly match the resource units of the private cloud and flexibly configure computing resources, so that the flexibility and adaptability of the private cloud computing resource configuration are fully improved;
2) the access task interaction module receives a data access request sent by an access terminal, the access request analysis module analyzes an address of the access terminal to obtain access authority, the main control module verifies the access authority of the access terminal, and the access data processing module carries out return processing on access data based on a data access request analysis result only after the access terminal passes the verification, so that the data resource safety during data access is effectively guaranteed.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic flow chart of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A management resource system under a private cloud environment mainly comprises the following two aspects:
the method includes the steps that resource units are set, and user budget, computing resource characteristics and required quantity information are combined, so that flexible matching of private cloud resource units and flexible configuration of computing resources are achieved, and flexibility and adaptability of configuration of the private cloud computing resources are fully improved.
As shown in fig. 1, the cloud computing resource allocation method includes a main control module and a resource unit generation module, where the resource unit generation module clusters computing resources with the same or similar configuration characteristics to generate resource units, the main control module obtains demand information of a user for computing resources of a private cloud through a user demand obtaining module, the main control module performs resource unit matching on the private cloud through a resource unit matching module based on the demand information, and selects computing resources from matched resource units through a computing resource allocation module to perform computing resource allocation.
The configuration policy generation module generates a computing resource configuration policy about the private cloud based on the demand information, wherein the computing resource configuration policy contains demand quantity information and demand time information about computing resources.
The system also comprises a charging rule setting module and a configuration cost statistical module, wherein the charging rule setting module sets a charging rule related to the computing resource for each resource unit, the configuration cost statistical module estimates the configuration cost of the private cloud by combining the computing resource configuration strategy and the charging rule, and the computing resource configuration module determines whether the computing resource is configured or not by combining the configuration cost. According to the technical scheme, the computing resource configuration strategy is combined with the charging rule, so that the configuration cost for constructing the private cloud can be accurately estimated on the basis of meeting the user requirements, and the user can construct the private cloud meeting the self use requirements within the budget.
When the computing resource configuration module judges that the configuration cost is within the user budget, the resource unit matching module judges that the user requirements are met, and performs resource unit matching on the private cloud based on the requirement information; otherwise, the resource unit matching module judges that the user requirements cannot be met, and returns configuration failure information to the user.
When the resource unit matching module judges that the user requirement is met:
when the resource unit matching module judges that one matching resource unit is matched based on the computing resource characteristics, the resource unit matching module performs resource unit matching on the private cloud, and the computing resource allocation module selects a proper amount of computing resources from the matching resource units based on the required amount information to perform computing resource allocation;
and when the resource unit matching module judges that the number of the matched resource units is multiple based on the characteristics of the computing resources, the resource unit matching module sequentially matches the resource units of the private cloud, and the computing resource allocation module selects a proper number of computing resources from the matched resource units based on the required quantity information to allocate the computing resources.
In the technical scheme of the application, the demand information includes computing resource characteristics, demand quantity information and demand time information (time requirement for completing construction of the private cloud by a user).
And secondly, the access data processing module carries out feedback processing on the access data based on the data access request analysis result for the access terminal passing the verification, thereby effectively ensuring the data resource safety during data access.
As shown in fig. 1, the main control module performs data access task interaction with the access terminal through the access task interaction module, the main control module analyzes a data access request sent by the access terminal through the access request analysis module, and the main control module performs return processing on access data through the access data processing module based on a data access request analysis result.
The access task interaction module receives a data access request sent by an access terminal, the access request analysis module analyzes an address of the access terminal to obtain access authority, and the main control module verifies the access authority of the access terminal and returns a verification result to the access task interaction module.
The access data processing module returns the access data based on the data access request analysis result, and the access data processing module comprises:
s1, after the access terminal passes the verification, the access task interaction module forwards the access address information to the access data processing module, and the access data processing module carries out return processing on the access data;
s2, the access data processing module analyzes the ID of the accessed web application according to the access address information and selects a web application running copy to process by combining a preset scheduling rule;
s3, the web application runs the copy to process the data access request, and specific data calling is completed;
and S4, the web application returns the calling result to the access data processing module, and the access data processing module returns the calling result to the access terminal.
And the access data processing module converts the access address information in the data access request into an accessed web application ID, processes the data access request by running a copy through the web application, completes specific data calling and completes a data access task.
In the technical scheme, the system further comprises a computing resource monitoring module and a computing resource releasing module, wherein the computing resource monitoring module monitors the utilization rate of the configured computing resources in real time, and the computing resource releasing module releases the computing resources with the utilization rate smaller than a threshold value. When the actual utilization rate of the computing resources configured in the private cloud is smaller than the threshold value, the computing resource releasing module releases the computing resources, and the waste of the computing resources is avoided.
A method for managing resources in a private cloud environment, as shown in fig. 2, includes the following steps:
s1, clustering the computing resources with the same or similar configuration characteristics to generate resource units;
s2, generating a computing resource configuration strategy about the private cloud based on the demand information, setting a charging rule about computing resources for each resource unit, and estimating configuration cost for the private cloud by combining the computing resource configuration strategy and the charging rule;
s3, when the configuration cost is within the user budget, judging that the user requirements are met, and performing resource unit matching on the private cloud based on the requirement information; otherwise, judging that the user requirements cannot be met, and returning configuration failure information to the user;
s4, performing resource unit matching on the private cloud based on the computing resource characteristics, and selecting a proper amount of computing resources from the matched resource units based on the required amount information to perform computing resource configuration;
s5, receiving a data access request sent by an access terminal, analyzing the address of the access terminal, acquiring access authority, and verifying the access authority of the access terminal;
and S6, after the access terminal passes the verification, returning the access data based on the analysis result of the data access request.
The resource unit matching is carried out on the private cloud based on the computing resource characteristics, and the appropriate amount of computing resources are selected from the matched resource units based on the demand quantity information to carry out computing resource configuration, wherein the resource unit matching comprises the following steps:
when the resource unit matching module judges that one matching resource unit is matched based on the computing resource characteristics, the resource unit matching module performs resource unit matching on the private cloud, and the computing resource allocation module selects a proper amount of computing resources from the matching resource units based on the required amount information to perform computing resource allocation;
and when the resource unit matching module judges that the number of the matched resource units is multiple based on the characteristics of the computing resources, the resource unit matching module sequentially matches the resource units of the private cloud, and the computing resource allocation module selects a proper number of computing resources from the matched resource units based on the required quantity information to allocate the computing resources.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A management resource system under a private cloud environment is characterized in that: the resource unit generation module clusters computing resources with the same or similar configuration characteristics to generate resource units, the main control module acquires demand information of users for private cloud computing resources through a user demand acquisition module, the main control module performs resource unit matching on the private cloud based on the demand information through a resource unit matching module, and selects the computing resources from the matched resource units through a computing resource configuration module to perform computing resource configuration;
the main control module carries out data access task interaction with the access terminal through the access task interaction module, the main control module analyzes a data access request sent by the access terminal through the access request analysis module, and the main control module carries out return processing on access data through the access data processing module based on a data access request analysis result.
2. The system for managing resources under a private cloud environment of claim 1, wherein: the system further comprises a configuration strategy generation module, wherein the configuration strategy generation module generates a computing resource configuration strategy related to the private cloud based on the demand information, and the computing resource configuration strategy comprises demand quantity information and demand time information related to computing resources.
3. The system for managing resources under a private cloud environment of claim 2, wherein: the system also comprises a charging rule setting module and a configuration cost statistic module, wherein the charging rule setting module sets a charging rule about the computing resource for each resource unit, the configuration cost statistic module estimates the configuration cost of the private cloud by combining the computing resource configuration strategy and the charging rule, and the computing resource configuration module determines whether the computing resource is configured or not by combining the configuration cost.
4. A system for managing resources in a private cloud environment according to claim 3, wherein: when the computing resource configuration module judges that the configuration cost is within the user budget, the resource unit matching module judges that the user requirements are met, and performs resource unit matching on the private cloud based on the requirement information; otherwise, the resource unit matching module judges that the user requirements cannot be met, and returns configuration failure information to the user.
5. The system for managing resources under a private cloud environment of claim 4, wherein: when the resource unit matching module judges that one matched resource unit is matched based on the characteristics of the computing resources, the resource unit matching module performs resource unit matching on the private cloud, and the computing resource allocation module selects a proper amount of computing resources from the matched resource units based on the required amount information to perform computing resource allocation;
and when the resource unit matching module judges that the number of matched resource units is multiple based on the characteristics of the computing resources, the resource unit matching module sequentially matches the resource units of the private cloud, and the computing resource allocation module selects a proper number of computing resources from the matched resource units based on the required quantity information to allocate the computing resources.
6. A system for managing resources under a private cloud environment according to any one of claims 1 to 5, wherein: the demand information includes computing resource characteristics, demand quantity information, and demand time information.
7. The system for managing resources under a private cloud environment of claim 5, wherein: the access task interaction module receives a data access request sent by an access terminal, the access request analysis module analyzes an address of the access terminal to obtain access authority, and the main control module verifies the access authority of the access terminal and returns a verification result to the access task interaction module.
8. The system for managing resources under a private cloud environment of claim 7, wherein: the access data processing module carries out return processing on the access data based on the data access request analysis result, and the return processing comprises the following steps:
s1, after the access terminal passes the verification, the access task interaction module forwards the access address information to the access data processing module, and the access data processing module carries out return processing on the access data;
s2, the access data processing module analyzes the ID of the accessed web application according to the access address information and selects a web application running copy to process by combining a preset scheduling rule;
s3, the web application runs the copy to process the data access request, and specific data calling is completed;
and S4, the web application returns the calling result to the access data processing module, and the access data processing module returns the calling result to the access terminal.
9. The system for managing resources under a private cloud environment of claim 1, wherein: the system also comprises a computing resource monitoring module and a computing resource releasing module, wherein the computing resource monitoring module monitors the utilization rate of the configured computing resources in real time, and the computing resource releasing module releases the computing resources with the utilization rate smaller than a threshold value.
10. A method for managing resources under the private cloud environment according to claim 8, comprising the steps of:
s1, clustering the computing resources with the same or similar configuration characteristics to generate resource units;
s2, generating a computing resource configuration strategy about the private cloud based on the demand information, setting a charging rule about computing resources for each resource unit, and estimating configuration cost for the private cloud by combining the computing resource configuration strategy and the charging rule;
s3, when the configuration cost is within the user budget, judging that the user requirements are met, and performing resource unit matching on the private cloud based on the requirement information; otherwise, judging that the user requirements cannot be met, and returning configuration failure information to the user;
s4, performing resource unit matching on the private cloud based on the computing resource characteristics, and selecting a proper amount of computing resources from the matched resource units based on the required amount information to perform computing resource configuration;
s5, receiving a data access request sent by an access terminal, analyzing the address of the access terminal, acquiring access authority, and verifying the access authority of the access terminal;
and S6, after the access terminal passes the verification, returning the access data based on the analysis result of the data access request.
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| CN116244086A (en) * | 2023-05-08 | 2023-06-09 | 北京国信新网通讯技术有限公司 | Resource management optimization method and system based on multi-chip cloud architecture |
| CN116244086B (en) * | 2023-05-08 | 2023-08-04 | 北京国信新网通讯技术有限公司 | Resource management optimization method and system based on multi-chip cloud architecture |
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