CN113791765A - Resource arranging method, device and equipment of cloud service and storage medium - Google Patents
Resource arranging method, device and equipment of cloud service and storage medium Download PDFInfo
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Abstract
The invention provides a resource arranging method, a resource arranging device, equipment and a storage medium of cloud service, wherein the method comprises the following steps: receiving a creation request from a user; displaying a resource arrangement interface according to the creation request, wherein the resource arrangement interface is used for displaying a required entry navigation list; receiving a demand parameter input by a user in a region to be filled in each first list item in a demand entry navigation list; and performing keyword matching analysis on the requirement parameters and the keyword descriptions preset in the corresponding first list items through a preset specification conversion model to obtain a resource arranging script. Through the method, the user only needs to know what the requirement described by the first list item is and the requirement parameter is filled correspondingly; after the requirement parameters are submitted, keyword matching analysis is carried out through a preset specification conversion model, and a resource arranging script is obtained to automatically deliver cloud service resources, so that the resource arranging efficiency of cloud service is improved. The device, the equipment and the storage medium apply the method.
Description
Technical Field
The embodiment of the invention relates to the technical field of cloud management, in particular to a resource arranging method, a resource arranging device, resource arranging equipment and a storage medium for cloud service.
Background
The conversion from the cloud service requirement to the real cloud resource specification is a very difficult process, a user generally hardly corresponds to the product specification and performance of the cloud service with the requirement of the user, and the function of learning various cloud services requires a very large learning cost, so that the user cannot know whether the current cloud service can meet the requirement of the user when using a cloud service product. Cloud service resources are automatically delivered through a resource orchestration service of the cloud service. The resource arrangement service of the cloud service is a kind of simplified management of cloud computing resources. The current implementation modes include visual arrangement and script templates conforming to certain language specifications, wherein the visual arrangement mode means that a user can arrange resources needing to be created in a graphical mode in a dragging mode, and finally, the system can convert the graphical mode into a script and submit the script to a background to realize delivery. The script template is a script standard which is used in the industry at present and is popular, namely Terraform, and the script template is submitted to a background through editing the script to realize delivery. The two modes also have the problems of high learning cost, inconvenient operation and no understanding of the specification of the cloud product. For example, in the case of a script format, a user needs to learn the specification of the script, understand the semantics of the script, and often make mistakes if no visualization tool is available in the process of writing the script. For example, visualization needs to understand the meaning of each cloud product, and needs to understand the dependence of each cloud product on each other, which is time-consuming. Therefore, resource orchestration of cloud services is inefficient.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The embodiment of the invention provides a resource arranging method, device and equipment of cloud service and a storage medium, which can improve the resource arranging efficiency of the cloud service.
In a first aspect, an embodiment of the present invention provides a resource arrangement method for cloud services, including:
receiving a creation request from a user;
displaying a resource arrangement interface according to the creation request, wherein the resource arrangement interface is used for displaying a required entry navigation list;
receiving a demand parameter input by the user in a region to be filled in each first list item in the demand entry navigation list;
and performing keyword matching analysis on the requirement parameters and the corresponding keyword descriptions preset in the first list item through a preset specification conversion model to obtain a resource arranging script so as to generate the cloud service resources required by the user.
In a second aspect, an embodiment of the present invention further provides an apparatus, including:
the receiving module is used for receiving a creation request from a user;
the display module is used for displaying a resource arrangement interface according to the creation request, wherein the resource arrangement interface is used for displaying a required entry navigation list;
the input module is used for receiving the demand parameters input by the user in the area to be filled in each first list item in the demand entry navigation list;
and the processing module is used for performing keyword matching analysis on the requirement parameters and the corresponding keyword descriptions preset in the first list item through a preset specification conversion model to obtain a resource arranging script so as to generate the cloud service resources required by the user.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor executes the computer program according to the resource orchestration method for cloud services of the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions, where the computer-executable instructions are configured to execute the resource orchestration method for cloud services according to any one of the first aspect.
The embodiment of the invention comprises the following steps: and displaying a resource arranging interface according to the creation request of the user, wherein each first list item in the requirement input navigation list displayed on the resource arranging interface corresponds to the filling of the requirement information of one service resource. The requirement entry navigation list lists the requirement items of the cloud service required to be created by the user according to a list mode, at the moment, the user only needs to know what the requirement items are according to the keyword description, input the corresponding requirement parameters into the first list items one by one and submit the requirement parameters to the platform, the platform carries out keyword matching analysis on the keyword description of the first list items and the corresponding requirement parameters through a preset specification conversion model, and the script language supported by the platform is obtained to realize automatic delivery of the cloud service resources. At this time, the user does not need to learn the scripting language of the platform for creating the cloud service resources, does not need to pay attention to the dependency relationship among the cloud service resources, and only needs to know the required content of each first list item; the learning cost of the user on the platform is reduced, and therefore the resource arrangement efficiency of the cloud service is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
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The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flowchart illustrating a resource orchestration method for cloud services according to an embodiment of the present invention;
fig. 2 is a display manner of a navigation list required to be input in the resource arranging method of the cloud service according to the embodiment of the present invention;
FIG. 3 is a flowchart illustrating a resource orchestration method step S300 of a cloud service according to an embodiment of the present invention;
fig. 4 is another display manner of a navigation list required to be entered in the resource orchestration method of cloud services according to the embodiment of the present invention;
FIG. 5 is a flowchart illustrating a resource orchestration method step S400 according to an embodiment of the present invention;
fig. 6 is a block diagram of a resource orchestration device of a cloud service according to an embodiment of 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 described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that although functional blocks are partitioned in a schematic diagram of an apparatus and a logical order is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the partitioning of blocks in the apparatus or the order in the flowchart. The terms first, second and the like in the description and in the claims, and the drawings described above, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The conversion from the cloud service requirement to the real cloud resource specification is a very difficult process, a user generally hardly corresponds to the product specification and performance of the cloud service with the requirement of the user, and the function of learning various cloud services requires a very large learning cost, so that the user cannot know whether the current cloud service can meet the requirement of the user when using a cloud service product. Cloud service resources are automatically delivered through a resource orchestration service of the cloud service. The resource arrangement service of the cloud service is a kind of simplified management of cloud computing resources. The current implementation modes include visual arrangement and script templates conforming to certain language specifications, wherein the visual arrangement mode means that a user can arrange resources needing to be created in a graphical mode in a dragging mode, and finally, the system can convert the graphical mode into a script and submit the script to a background to realize delivery. The script template is a script standard which is used in the industry at present and is popular, namely Terraform, and the script template is submitted to a background through editing the script to realize delivery. The two modes also have the problems of high learning cost, inconvenient operation and no understanding of the specification of the cloud product. For example, in the case of a script format, a user needs to learn the specification of the script, understand the semantics of the script, and often make mistakes if no visualization tool is available in the process of writing the script. For example, visualization needs to understand the meaning of each cloud product, and needs to understand the dependence of each cloud product on each other, which is time-consuming. Therefore, resource orchestration of cloud services is inefficient.
The application provides a resource arranging method for cloud services, and as shown in fig. 1, the method includes:
step S100, receiving a creation request from a user.
And S200, displaying a resource arrangement interface according to the creation request, wherein the resource arrangement interface is used for displaying the required entry navigation list.
It should be noted that each first list item in the requirement entry navigation list represents a requirement item description of a type of service resource corresponding to the cloud service to be created. And the service resources guide the user to complete the filling of the requirement parameters in a list mode. Each first list item comprises a keyword description area and an area to be filled; the keyword description area uses a general language as a keyword description to describe the purpose of the first list item; if the first list item is used for describing the service scenario, the keyword description is set to be the "service scenario type" as shown in fig. 2; and filling the specification information filled through the universal language in the area to be filled.
Step S300, receiving requirement parameters input by a user in the area to be filled in each first list item in the requirement entry navigation list.
It should be noted that the demand parameters are manually input by the user in the area to be filled (such as by mouse, handwriting pad, voice, etc.) or are filled in the area to be filled through the selection list.
It should be noted that the first list item of the demand entry navigation list is a demand language abstracted according to a creation process of common resources of a plurality of cloud services, and the first list item in the demand entry navigation list is an inherent flow for a user.
Illustratively, the cloud service is a website, and the access amount needs to be considered, so the concurrency amount is taken as a type of requirement item of the website. Then as shown in fig. 2, the display demand entry navigation list is provided with a first list item described as "support access concurrency" by a keyword. In this case, the user may only need to care about the number of visitors to a specific website, how to deploy, without paying attention to what servers the 5000 concurrent volumes need to use.
Step S400, performing keyword matching analysis on the requirement parameters and the keyword descriptions preset in the corresponding first list items through a preset specification conversion model to obtain a resource arranging script so as to generate the cloud service resources required by the user.
It should be noted that, in some embodiments, the requirement parameters and the keyword description are transmitted to the background server as a complete description of the first list item, and the background server performs matching processing after extracting the keyword to obtain the specification resource model. The extraction of the keywords can be performed in an artificial intelligence (such as machine learning, classification algorithm, etc.). Keyword matching can be obtained through similarity matching and the like. And performing script language analysis on the specification resource model through the specification conversion model to obtain a resource arrangement script. In other embodiments, the requirement parameters, keyword descriptions, contain descriptions that are independent of the specification for ease of understanding, and thus keyword extraction and matching processes are required.
Therefore, the resource arrangement interface is displayed according to the creation request of the user, wherein each first list item in the demand entry navigation list displayed on the resource arrangement interface corresponds to the filling of the demand information of one service resource. The requirement entry navigation list lists the requirement items of the cloud service required to be created by the user according to a list mode, at the moment, the user only needs to know what the requirement items are according to the keyword description, input the corresponding requirement parameters into the first list items one by one and submit the requirement parameters to the platform, the platform carries out keyword matching analysis on the keyword description of the first list items and the corresponding requirement parameters through a preset specification conversion model, and the script language supported by the platform is obtained to realize automatic delivery of the cloud service resources. At this time, the user does not need to learn the scripting language of the platform for creating the cloud service resources, does not need to pay attention to the dependency relationship among the cloud service resources, and only needs to know the required content of each first list item; the learning cost of the user on the platform is reduced, and therefore the resource arrangement efficiency of the cloud service is improved.
It can be understood that the requirement entry navigation list comprises a business scenario list item and a hardware resource list; step S300, receiving requirement parameters input by a user in a region to be filled in each list item in the requirement entry navigation list, wherein the requirement parameters comprise: receiving a scene type input by a user in a to-be-filled area in a business scene list item; and receiving the hardware parameters input by the user in the area to be filled in each second list item in the hardware resource list.
It should be noted that the service scene type represents an application scene thereof, and is used for loading services related to application software service functions, and the application scenes thereof are portal websites, e-commerce websites and management systems, so that the service scene type can be filled into the portal websites, the e-commerce websites and the management systems, and the specification conversion model comprises an application deployment architecture and a hardware specification conversion model; each scene type corresponds to a typical application deployment architecture, and the application deployment architecture is provided with basic service functions. The hardware resource list is used for configuring hardware-related hardware resources required by the cloud service; when the corresponding hardware resources are configured, the corresponding hardware services are correspondingly arranged on the hardware specification conversion model so as to provide better user experience or safety protection for service functions, if keyword description of 'supporting pictures' is arranged in a list item of the hardware resources, and when the hardware parameters are set to 'OBS', the services of the OBS are loaded in the corresponding hardware specification conversion model so as to enable browsing to be smoother when the user frequently accesses the pictures. The service scene list item and the hardware resource list are separately listed as resource demand items required by the cloud service, so that the resource arranging efficiency is improved.
For example, as shown in fig. 2, the second list item of the hardware resource list is provided with 3 items, and the keyword descriptions corresponding to the 3 items are "whether to support high availability", "support access concurrency amount", and "database requirement", respectively.
It is understood that receiving the requirement parameter input by the user in each list item in the requirement entry navigation list further comprises receiving the service scene use input by the user in the service scene list item.
It should be noted that the service scenario purpose is used to represent whether the service scenario type is used in a production environment or a test environment, and when a requirement parameter including "production" is extracted from a first list item where the service scenario type is located (that is, the input service scenario purpose is production), it is recommended to configure hardware resources such as a high virtual machine core number and a memory. When the extracted requirement parameters include "test" (i.e. the input service scenario is used for testing), it is recommended to configure hardware resources such as general virtual machine cores and memories.
It is understood that, as shown in fig. 3, the receiving of the hardware parameter input by the user in each second list item in the hardware resource list includes:
step S310, receiving a first hardware parameter input by a user in a region to be filled in a computing capacity list item; wherein, the computing capacity list item is one second list item of the hardware resource list.
It should be noted that, in the cloud service, the number of high-availability deployments of nodes, the number of service components, and whether or not high availability is supported may all affect the computing capability of the cloud service, and therefore, a computing capability item may be set to represent the above capability, and "deploy", "high-availability deployments of nodes", "service components", and the like are displayed in the second list item as keyword descriptions. For example, as shown in fig. 4, one of the second list items is provided with keyword descriptions such as "deployment", "node high available deployment", "service component" and the like located in the same row, and at this time, the keyword descriptions "deployment", "node high available deployment", "service component" and corresponding first hardware parameters "virtual machine", "2", "10" are subjected to keyword extraction and matching by using a specification conversion model, so as to obtain a hardware resource model corresponding to the requirement items of the virtual machine deployment, 2 node high available deployment and 10 service components. For example, as shown in fig. 2, the list item of the computing capability is described by using a keyword of "whether to support high availability", and the first hardware parameter is "high availability across available areas", so that a hardware resource model corresponding to a demand item supporting high availability is obtained by performing keyword extraction and matching on "whether to support high availability" and "high availability across available areas".
Step S320, receiving a second hardware parameter input by a user in a to-be-filled area in the network access capability list item; the network access capability list item is one second list item of the hardware resource list.
It should be noted that the network access capability list item represents the requirement related to the network access capability. Illustratively, as shown in fig. 4, "access" and "concurrency" are used as keyword descriptions of network access capability list items, and "extranet" is used as a second hardware parameter and "5000" is used as a second hardware parameter corresponding to "concurrency" in the area to be filled.
Step S330, receiving a third hardware parameter input by a user in a region to be filled in the storage type list item; the storage type list item is one second list item of the hardware resource list.
It should be noted that the storage type list item represents a requirement item of a frequently accessed mode such as a picture and a video. Illustratively, as shown in fig. 4, the storage type list items are provided with keyword descriptions of "picture", "video", "frequent access"; and inserting the regions to be filled into the keyword description to form storage data demand items of frequently accessed modes such as pictures and videos. The "OBS" is a third hardware parameter corresponding to the "picture", and the "EFS" is a third hardware parameter corresponding to the video.
Step S340, receiving a fourth hardware parameter input by a user in a region to be filled in a database deployment mode list item; and the list item of the database deployment mode is one second list item of the hardware resource list.
It should be noted that the database deployment mode list item is configured to fill a requirement item related to the database, for example, as shown in fig. 2, the database deployment mode list item is configured with a key item of "database requirement", and the fourth hardware parameter is filled to "support disaster recovery in different places and support dual activities in the same city", which means that the database deployment mode list item supports disaster recovery in different places and supports dual activities in the same city. For example, as shown in fig. 4, in other embodiments, as shown in fig. 4, the database deployment mode list item is provided with "cross-region disaster tolerance" and "backup once" as keyword descriptions, and the areas to be filled are inserted into the keyword descriptions, where "east China, south China" is used as a fourth hardware parameter corresponding to the "cross-region disaster tolerance", and "day" is used as a fourth hardware parameter of the "backup once", where the requirement item indicates that the database supports backup of the cross-region disaster tolerance in east China and south China, and backup is performed once per day.
It is understood that, in step S320, the second hardware parameter input by the user in the area to be populated in the network access capability list item is received, and the second hardware parameter includes one of the following:
receiving concurrency quantity parameters input by a user in a to-be-filled area in a network access capability list item;
receiving internal and external network access parameters and concurrency parameters input by a user in a to-be-filled area in a network access capability list item;
receiving a peak concurrency quantity access parameter, an internal and external network access parameter and a concurrency quantity parameter which are input by a user in a to-be-filled area in a network access capability list item.
It should be noted that the peak concurrency access parameter, the intranet and extranet access parameter, and the concurrency parameter are classified descriptions of the second hardware parameter.
For example, as shown in fig. 2, only one keyword description of "support access concurrency amount" is set in the list item of the network access capability, and then only a concurrency amount parameter "5000" corresponding to the keyword description needs to be input. In other embodiments, the list items of network access capability are set with prompts of "concurrent volume", "peak concurrent volume", "access", etc. which are respectively input as a concurrent volume parameter, a peak concurrent volume access parameter, and an internal and external network access parameter, as shown in fig. 4, an "external network" is input as the internal and external network access parameter, a "1000" is input as the concurrent volume parameter, and a "10000" is input as the peak concurrent volume access parameter.
It can be understood that, in step S340, the fourth hardware parameter input by the user in the area to be filled in the database deployment mode list item is received, and the fourth hardware parameter includes at least one of the following:
receiving disaster tolerance parameters input by a user in a database deployment mode list item;
receiving database design mode parameters and disaster tolerance parameters input by a user in a database deployment mode list item;
and receiving the database middleware parameters, the database design mode parameters and the disaster tolerance parameters which are input by a user in the database deployment mode list.
It should be noted that the database middleware parameter, the database design mode parameter, and the disaster tolerance parameter are classified descriptions of the fourth hardware parameter. Each type of fourth hardware parameter corresponds to a keyword description to distinguish different types of specification requirements of the database.
For example, in some embodiments, as shown in fig. 2, the keyword description is set as "database request", and when the fourth parameter is extracted to include the keywords of disaster recovery, dual activities, and the like, "support remote disaster recovery and support same city dual activities" is the disaster tolerance parameter, and the hardware resource related to disaster tolerance needs to be matched. In other embodiments, the database deployment mode list items are provided with keyword descriptions of "relational database", "span region disaster tolerance", and "middleware", and then the database design mode parameter, the database middleware parameter, and the disaster tolerance backup parameter are corresponding fourth parameters, as shown in fig. 4, the database middleware parameter is set to two parameters of "mq" and "single point", the database design mode parameter is three parameters of "mysql", "single point mode", and "redis", and the disaster tolerance parameter includes two parameters of "east of china, south of china", and "day".
It can be understood that, as shown in fig. 5, in step S400, performing keyword matching analysis on the requirement parameter and the keyword description preset in the corresponding first list item through a preset specification conversion model to obtain a resource arranging script, so as to generate the cloud service resource required by the user, including:
and S410, selecting a first application deployment architecture matched with the type of the service scene from a plurality of preset application deployment architectures according to the keyword description of the list item of the service scene and the input type of the service scene.
It should be noted that different service scene types are provided with typical application deployment architectures, and each application deployment architecture includes a corresponding software function service. When the scene type is the portal website, the corresponding application deployment architecture has the basic software service function of the portal website. As shown in fig. 2, if the keyword is identified as "business scenario type", and the business scenario type is "e-commerce system", it means that a typical model of the e-commerce system is loaded as the first application deployment architecture.
Step S420, selecting a first hardware resource matching the hardware parameter from a plurality of preset hardware specification conversion models according to the keyword description and the corresponding hardware parameter of each second list item in the hardware resource list.
For example, as shown in fig. 4, the keyword description of the second list item of the hardware resource list is provided with "picture", "frequent access", and the hardware parameters are "OBS" and "EFS", and then the hardware resources required by the OBS service and the EFS service, the OBD service and the EFS service are loaded.
Step S430, combining the first application deployment architecture and the first hardware resources corresponding to each second list item in the hardware resource list to generate a resource arranging script so as to generate the cloud service resources required by the user.
It is understood that step S400 further includes: and checking the requirement parameters of the resource editing script, and feeding back to the user to renew the requirement parameters when the requirement parameter check fails.
It should be noted that, when a user misses filling a first list item, such as a service scene list item, and performs a requirement parameter check, and when other list items need to depend on the service scene list item, and a corresponding resource cannot be generated, the corresponding resource is fed back to the user to perform service creation again. When the requirement parameter in the first list item is input by the user, it is required to check whether the input value has a corresponding specification parameter, and when the requirement is not met, the input value cannot be converted into the resource arranging script.
The methods of the present application are operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
As shown in fig. 6, the present application further provides a resource orchestration device for cloud services, including:
a receiving module 100, configured to receive a creation request from a user;
the display module 200 is configured to display a resource arrangement interface according to the creation request, where the resource arrangement interface is used to display a requirement entry navigation list;
the input module 300 is configured to receive a requirement parameter input by a user in a region to be filled in each first list item in a requirement entry navigation list;
the processing module 400 is configured to perform keyword matching analysis on the requirement parameter and the keyword description preset in the corresponding first list item through a preset specification conversion model to obtain a resource arrangement script, so as to generate a cloud service resource required by the user.
It should be noted that, in some embodiments, the resource orchestration device of the cloud service further includes a verification module 500, configured to perform requirement parameter verification on the resource orchestration script, and when the requirement parameter verification fails, feed back to the user to perform requirement parameter updating again.
It should be noted that the input module 300 includes a service scenario input module 310 and a hardware parameter input module 320; the service scenario input module 310 is configured to receive a scenario type and a service scenario purpose input by a user in a to-be-filled area in a service scenario list item. The hardware parameter input module 320 is configured to receive a hardware parameter input by a user in a region to be filled in each second list item in the preset hardware resource list.
It is noted that, in some embodiments, the hardware parameter input module 320 includes:
the computing capacity input module is used for receiving a first hardware parameter input by a user in the area to be filled;
the network access capability input module is used for receiving at least one of a peak concurrency quantity access parameter, an internal and external network access parameter and a concurrency quantity parameter which are input by a region to be filled by a user;
the storage type input module is used for receiving a third hardware parameter input by a user in the area to be filled;
the database deployment input module is used for receiving at least one of database middleware parameters, database design mode parameters and disaster tolerance parameters input by a user in a region to be filled.
It is noted that, in some embodiments, the processing module 400 includes:
the deployment architecture matching module 410 is configured to select, according to the keyword description of the service scene list item and the input service scene type, a first application deployment architecture matching the service scene type from a plurality of preset application deployment architectures;
a hardware resource matching module 420, configured to select, according to the keyword description of each second list item in the hardware resource list and the input hardware parameter, a first hardware resource matching the hardware parameter from multiple preset hardware specification conversion models;
the generating module 430 is configured to combine the first application deployment architecture and the first hardware resource corresponding to each second list item in the hardware resource list to generate a resource arranging script, so as to generate a cloud service resource required by the user.
Those skilled in the art will appreciate that the system architecture shown in fig. 6 is not intended to limit embodiments of the present invention and may include more or fewer modules than shown, or some of the modules may be combined, or a different arrangement of modules.
It is understood that the present application also proposes an electronic device comprising: the cloud service resource scheduling method is characterized in that the processor executes the computer program.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and these remote memories may be connected to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
It should be noted that the electronic device in this embodiment may be applied to the resource orchestration method of the cloud service in the embodiment shown in fig. 1, and the electronic device in this embodiment and the embodiment shown in fig. 1 have the same inventive concept, so that these embodiments have the same implementation principle and technical effect, and are not described in detail here.
The non-transitory software programs and instructions necessary to implement the information processing method of the above-described embodiment are stored in the memory, and when executed by the processor, perform the information processing method of the above-described embodiment, for example, perform the method steps of the above steps S100 to S400, or perform the method steps of steps S100 to S400, S410 to S440, or perform the steps S100 to S400, S310 to S340.
In some embodiments, the cloud service system further comprises a background server, and the background server is used for automatically delivering the cloud service resources according to the resource orchestration script.
It can be understood that the present invention also provides a computer-readable storage medium storing computer-executable instructions for executing the resource orchestration method for cloud services.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
While the preferred embodiments of the present invention have been described in detail, it will be understood by those skilled in the art that the foregoing and various other changes, omissions and deviations in the form and detail thereof may be made without departing from the scope of this invention.
Claims (10)
1. A resource arranging method of cloud service is characterized by comprising the following steps:
receiving a creation request from a user;
displaying a resource arrangement interface according to the creation request, wherein the resource arrangement interface is used for displaying a required entry navigation list;
receiving a demand parameter input by the user in a region to be filled in each first list item in the demand entry navigation list;
and performing keyword matching analysis on the requirement parameters and the corresponding keyword descriptions preset in the first list item through a preset specification conversion model to obtain a resource arranging script so as to generate the cloud service resources required by the user.
2. The resource orchestration method according to claim 1, wherein the demand entry navigation list comprises a business scenario listing and a hardware resource listing; the receiving of the demand parameters input by the user in the area to be filled in each first list item in the demand entry navigation list includes:
receiving a scene type input by the user in a region to be filled in the business scene list item;
and receiving the hardware parameters input by the user in the area to be filled in each second list item in the hardware resource list.
3. The method for arranging resources in a cloud service according to claim 2, wherein the receiving the hardware parameter input by the user in the area to be filled in each second list item in the hardware resource list includes:
receiving a first hardware parameter input by the user in a region to be filled in a computing capacity list item; wherein the computing capacity list item is one of the second list items of the hardware resource list;
receiving a second hardware parameter input by the user in a to-be-filled area in the network access capability list item; wherein the network access capability list item is one of the second list items of the hardware resource list;
receiving a third hardware parameter input by the user in a region to be filled in the storage type list item; the storage type list item is one of second list items of the hardware resource list;
receiving a fourth hardware parameter input by the user in a region to be filled in a database deployment mode list item; and the database deployment mode list item is one second list item of the hardware resource list.
4. The method for arranging resources of a cloud service according to claim 3, wherein the receiving of the second hardware parameter input by the user in the area to be filled in the network access capability list item includes one of:
receiving concurrency quantity parameters input by the user in the area to be filled in the network access capability list item;
receiving internal and external network access parameters and concurrency parameters input by the user in the area to be filled in the network access capability list item;
receiving a peak concurrency quantity access parameter, an internal and external network access parameter and a concurrency quantity parameter which are input by the user in the area to be filled in the network access capability list item.
5. The resource orchestration method according to claim 3, wherein the receiving of the fourth hardware parameter input by the user in the to-be-filled region in the database deployment list item comprises one of:
receiving disaster tolerance parameters input by the user in the area to be filled in the database deployment mode list item;
receiving database design mode parameters and disaster tolerance parameters input by the user in the area to be filled in the database deployment mode list;
and receiving a database middleware parameter, a database design mode parameter and a disaster tolerance parameter which are input by the user in the area to be filled in the database deployment mode list item.
6. The method for arranging resources of cloud services according to claim 2, wherein the performing keyword matching analysis on the requirement parameters and the keyword descriptions preset in the corresponding first list items through a preset specification conversion model to obtain a resource arranging script to generate cloud service resources required by a user includes:
selecting a first application deployment architecture matched with the service scene type from a plurality of preset application deployment architectures according to the keyword description of the service scene list item and the input service scene type;
selecting a first hardware resource matched with the hardware parameter from a plurality of preset hardware specification conversion models according to the keyword description of each second list item in the hardware resource list and the input hardware parameter respectively;
and combining the first application deployment architecture and the first hardware resources corresponding to each second list item in the hardware resource list to generate a resource arranging script so as to generate the cloud service resources required by the user.
7. The resource orchestration method according to claim 1, further comprising, after obtaining the resource orchestration script:
performing requirement parameter verification on the resource arrangement script,
and when the verification of the demand parameters fails, feeding back to the user to update the demand parameters again.
8. A resource orchestration apparatus of a cloud service, comprising:
the receiving module is used for receiving a creation request from a user;
the display module is used for displaying a resource arrangement interface according to the creation request, wherein the resource arrangement interface is used for displaying a required entry navigation list;
the input module is used for receiving the demand parameters input by the user in the area to be filled in each first list item in the demand entry navigation list;
and the processing module is used for performing keyword matching analysis on the requirement parameters and the corresponding keyword descriptions preset in the first list item through a preset specification conversion model to obtain a resource arranging script so as to generate the cloud service resources required by the user.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor executes the computer program by the resource orchestration method of cloud services according to any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon computer-executable instructions for performing at least the method of resource orchestration of cloud services according to any one of claims 1 to 7.
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| CN202111080664.XA CN113791765B (en) | 2021-09-15 | 2021-09-15 | Resource arrangement method, device and equipment of cloud service and storage medium |
| PCT/CN2022/071076 WO2023040143A1 (en) | 2021-09-15 | 2022-01-10 | Cloud service resource orchestration method and apparatus, and device and storage medium |
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| WO2023040143A1 (en) | 2023-03-23 |
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