CN112637321A - Cloud resource computing method, system, equipment and computer readable storage medium - Google Patents
Cloud resource computing method, system, equipment and computer readable storage medium Download PDFInfo
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- CN112637321A CN112637321A CN202011505805.3A CN202011505805A CN112637321A CN 112637321 A CN112637321 A CN 112637321A CN 202011505805 A CN202011505805 A CN 202011505805A CN 112637321 A CN112637321 A CN 112637321A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
- G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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Abstract
The application discloses a cloud resource computing method, system, device and computer readable storage medium provided by the application, which are applied to a cloud platform, and the system comprises: the service module is used for processing the service and sending a corresponding calculation request after the service processing is finished; and the calculation module is used for receiving the calculation request and calculating based on the calculation request to obtain a calculation result. In the application, the service processing process and the computing process of the cloud platform are decoupled through the service module and the computing module, so that the influence of the computing process on the service processing process is avoided, the service processing rate of the cloud platform can be guaranteed while cloud resource computing is realized, and the influence of the cloud resource computing process on the service is reduced. The cloud resource computing method, the cloud resource computing equipment and the computer readable storage medium solve the corresponding technical problems.
Description
Technical Field
The present application relates to the field of cloud platform technologies, and in particular, to a cloud resource computing method, system, device, and computer-readable storage medium.
Background
The cloud platform is also called a cloud computing platform, and is a service based on hardware resources and software resources, and provides computing, network and storage capabilities. The cloud platform generally has a computing system thereof, and cloud resources are correspondingly computed based on the attributes and the running time of the accessed bottom layer virtualized resources, so that the best use of the resources is facilitated. In the process, in order to enable the calculation result to more accurately reflect the use scene of the cloud resource, corresponding calculation is usually performed according to the service scene, that is, a calculation method needs to be embedded in the service scene, so that the use condition of the cloud resource can be more accurately reflected, but when the amount of the cloud resource is too large and the scale is large, the calculation pressure can cause the system to operate slowly, the service rate of the cloud platform is influenced, and the use experience of the cloud platform is influenced.
In summary, how to reduce the influence of the cloud resource computing process on the business is a problem to be urgently solved by those skilled in the art at present.
Disclosure of Invention
The application aims to provide a cloud resource computing method which can solve the technical problem of reducing the influence of a cloud resource computing process on a service to a certain extent. The application also provides a cloud resource computing system, a cloud resource computing device and a computer readable storage medium.
In order to achieve the above purpose, the present application provides the following technical solutions:
a cloud resource computing system applied to a cloud platform comprises:
the service module is used for processing the service and sending a corresponding calculation request after the service processing is finished;
and the calculation module is used for receiving the calculation request and calculating based on the calculation request to obtain a calculation result.
Preferably, the service module sends a corresponding calculation request, including:
the service module sends the calculation request to a preset queue;
the computation module receives the computation request, including:
the calculation module receives the calculation request from the preset queue.
Preferably, the calculation request includes a target resource type, a target calculation attribute, and a target resource name;
the calculation module performs calculation based on the calculation request to obtain a calculation result, and the calculation result comprises:
the calculation module determines a target calculation strategy based on the target resource type, calculates to obtain a calculation result based on the target calculation strategy and the target calculation attribute, and determines the calculation result based on the target resource name and the calculation result.
Preferably, the method further comprises the following steps:
the storage module is used for storing the corresponding relation between the resource type and the calculation strategy;
the compute module determines a target compute policy based on the target resource type, including:
and the calculation module determines the target calculation strategy corresponding to the target resource type based on the corresponding relation.
Preferably, the number of the computing modules is a preset number, and the value of the preset number is greater than 1.
A cloud resource computing method is applied to a computing module of a cloud platform and comprises the following steps:
receiving a computing request sent after a service module in the cloud platform processes a service;
and calculating based on the calculation request to obtain a calculation result.
Preferably, the receiving a computation request sent by the service module after the service processing is completed includes:
and receiving the calculation request from a preset queue, wherein the calculation request is sent to the preset queue after the service module finishes processing the service.
A cloud resource computing method is applied to a business module of a cloud platform and comprises the following steps:
processing the service;
and sending a corresponding computing request to a computing module of the cloud platform after the business processing is finished, so that the computing module obtains a computing result by computing based on the computing request.
An electronic device, comprising:
a memory for storing a computer program;
a processor configured to implement the steps of the cloud resource computing method as described above when executing the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the cloud resource computing method as claimed in any one of the preceding claims.
The application provides a cloud resource computing system is applied to the cloud platform, includes: the service module is used for processing the service and sending a corresponding calculation request after the service processing is finished; and the calculation module is used for receiving the calculation request and calculating based on the calculation request to obtain a calculation result. In the application, the service processing process and the computing process of the cloud platform are decoupled through the service module and the computing module, so that the influence of the computing process on the service processing process is avoided, the service processing rate of the cloud platform can be guaranteed while cloud resource computing is realized, and the influence of the cloud resource computing process on the service is reduced. The cloud resource computing method, the cloud resource computing equipment and the computer readable storage medium solve the corresponding technical problems.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a cloud resource computing system according to an embodiment of the present disclosure;
fig. 2 is a first flowchart of a cloud resource computing method according to an embodiment of the present disclosure;
fig. 3 is a second flowchart of a cloud resource computing method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 5 is another schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the 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 application.
The cloud platform is also called a cloud computing platform, and is a service based on hardware resources and software resources, and provides computing, network and storage capabilities. The cloud platform generally has a computing system thereof, and cloud resources are correspondingly computed based on the attributes and the running time of the accessed bottom layer virtualized resources, so that the best use of the resources is facilitated. In the process, in order to enable the calculation result to more accurately reflect the use scene of the cloud resource, corresponding calculation is usually performed according to the service scene, that is, a calculation method needs to be embedded in the service scene, so that the use condition of the cloud resource can be more accurately reflected, but when the amount of the cloud resource is too large and the scale is large, the calculation pressure can cause the system to operate slowly, the service rate of the cloud platform is influenced, and the use experience of the cloud platform is influenced. The cloud resource computing system provided by the application can reduce the influence of the cloud resource computing process on the service.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a cloud resource computing system according to an embodiment of the present disclosure.
The cloud resource computing system provided by the embodiment of the application is applied to a cloud platform and can comprise:
the service module 101 is configured to process a service and send a corresponding calculation request after the service processing is completed;
and the calculation module 102 is configured to receive a calculation request, and perform calculation based on the calculation request to obtain a calculation result.
In practical application, a service module in the cloud platform is only responsible for processing the service and sending the calculation request, and the service module sends the calculation request after the service processing is completed, so that the normal operation of the service can be ensured to the greatest extent, and the operation efficiency of the service is ensured; the computing module is used for receiving the computing request and obtaining a computing result based on the computing request, namely decoupling between service processing and cloud resource computing in the cloud platform is achieved, so that the cloud platform does not need to perform corresponding cloud resource computing while processing the service, the influence of the cloud resource computing on the service processing can be avoided, and the service in the cloud platform can be rapidly processed.
The application provides a cloud resource computing system is applied to the cloud platform, includes: the service module is used for processing the service and sending a corresponding calculation request after the service processing is finished; and the calculation module is used for receiving the calculation request and calculating based on the calculation request to obtain a calculation result. In the application, the service processing process and the computing process of the cloud platform are decoupled through the service module and the computing module, so that the influence of the computing process on the service processing process is avoided, the service processing rate of the cloud platform can be guaranteed while cloud resource computing is realized, and the influence of the cloud resource computing process on the service is reduced.
The cloud resource computing system provided by the embodiment of the application is applied to a cloud platform, because a plurality of services may need to be processed in the cloud platform, a plurality of service modules are provided, and accordingly, a plurality of computing requests are provided, if the service modules directly send the computing requests to the computing modules, the computing requests may be overstocked at the computing modules and occupy resources of the computing modules, and in order to avoid this, the service modules can send the computing requests to a preset queue in the process of sending the corresponding computing requests; accordingly, in the process of receiving the calculation request, the calculation module may receive the calculation request from the preset queue.
In a specific application scenario, the calculation module may receive the calculation request from the preset queue according to a first-in first-out rule, may also receive the calculation request from the preset queue according to a priority of the calculation request, and the like, which is not specifically limited herein.
The cloud resource computing system provided by the embodiment of the application is applied to a cloud platform, and the computing request can comprise a target resource type, a target computing attribute, a target resource name and the like;
correspondingly, in the process that the calculation module performs calculation based on the calculation request to obtain the calculation result, the calculation module may determine a target calculation policy based on the target resource type, obtain a calculation result based on the target calculation policy and the target calculation attribute, and determine the calculation result based on the target resource name and the calculation result.
It should be noted that the target resource type is also the type of the resource applied in the current service processing process, for example, the target resource type may be a CPU resource, a memory resource, a bandwidth resource, or the like; the target calculation attribute is corresponding to a resource corresponding to the current service during calculation, for example, the target calculation attribute may include a calculation factor, a weight, and the like; the target calculation policy is also a corresponding policy of the resource corresponding to the current service during calculation, for example, the target calculation policy may include a calculation method, a data format, and the like; the target resource name is also the corresponding name of the resource corresponding to the current service during calculation, and the type of the target resource name can be a digital identifier, a letter identifier, and the like. In addition, the type of the computing request may be determined according to a service scenario, for example, the computing request may be a computing request corresponding to a cloud platform when the cloud platform is powered on, a computing request corresponding to a network card when the network card is loaded, a computing request corresponding to a storage mount, and the like.
In practical applications, in order to facilitate the computing module to determine the target computing policy, the cloud resource computing system provided by the present application may further include: the storage module is used for storing the corresponding relation between the resource type and the calculation strategy; accordingly, in the process of determining the target computing policy based on the target resource type, the computing module may determine the target computing policy corresponding to the target resource type based on the corresponding relationship.
The cloud resource computing system provided by the embodiment of the application is applied to a cloud platform, because the processing capacity of a single computing module is limited, and the number of computing requests is possibly large, in order to avoid that the processing capacity of the computing module cannot keep up with the processing requirement of the computing requests, the number of the computing modules in the application can be a preset number, and the value of the preset number is larger than 1. That is, the cloud resource computing system provided by the present application may be provided with a plurality of computing modules, and specifically, when the computing modules are set, the setting may be performed according to a rule that one computing module is set at a time, for example, one computing module is set first, and when the computing module does not meet a processing requirement of a computing request, one computing module is set again.
Referring to fig. 2, fig. 2 is a first flowchart of a cloud resource computing method according to an embodiment of the present disclosure.
The cloud resource computing method provided by the embodiment of the application is applied to a computing module of a cloud platform, and can comprise the following steps:
step S101: and receiving a computing request sent after a service module in the cloud platform processes the service.
Step S102: and performing calculation based on the calculation request to obtain a calculation result.
In an actual application scenario, in the process that the calculation module receives the calculation request sent after the service module finishes processing the service, the calculation request may be received from a preset queue, and the calculation request is sent to the preset queue after the service module finishes processing the service.
The description of the corresponding steps in the cloud resource computing method provided by the embodiment of the present application may refer to the foregoing embodiments, and is not repeated here.
Referring to fig. 3, fig. 3 is a second flowchart of a cloud resource computing method according to an embodiment of the present disclosure.
The cloud resource computing method provided by the embodiment of the application is applied to a service module of a cloud platform, and can comprise the following steps:
step S201: and processing the service.
Step S202: and sending a corresponding computing request to a computing module of the cloud platform after the business processing is finished, so that the computing module obtains a computing result by computing based on the computing request.
The description of the corresponding steps in the cloud resource computing method provided by the embodiment of the present application may refer to the foregoing embodiments, and is not repeated here.
The application also provides an electronic device and a computer-readable storage medium, which both have the corresponding effects of the cloud resource computing method provided by the embodiment of the application. Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
An electronic device provided in an embodiment of the present application includes a memory 201 and a processor 202, where the memory 201 stores a computer program, and the processor 202 implements the steps of the cloud resource computing method described in any of the above embodiments when executing the computer program.
Referring to fig. 5, another electronic device provided in the embodiment of the present application may further include: an input port 203 connected to the processor 202, for transmitting externally input commands to the processor 202; a display unit 204 connected to the processor 202, for displaying the processing result of the processor 202 to the outside; and the communication module 205 is connected with the processor 202 and is used for realizing the communication between the electronic equipment and the outside world. The display unit 204 may be a display panel, a laser scanning display, or the like; the communication method adopted by the communication module 205 includes, but is not limited to, mobile high definition link technology (HML), Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI), and wireless connection: wireless fidelity technology (WiFi), bluetooth communication technology, bluetooth low energy communication technology, ieee802.11s based communication technology.
In an embodiment of the present application, a computer-readable storage medium is provided, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the cloud resource computing method described in any of the above embodiments are implemented.
The computer-readable storage media to which this application relates include Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage media known in the art.
For a description of a relevant part in a cloud resource computing method, an electronic device, and a computer-readable storage medium provided in the embodiments of the present application, refer to a detailed description of a corresponding part in a cloud resource computing system provided in the embodiments of the present application, which is not described herein again. In addition, parts of the above technical solutions provided in the embodiments of the present application, which are consistent with the implementation principles of corresponding technical solutions in the prior art, are not described in detail so as to avoid redundant description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A cloud resource computing system applied to a cloud platform comprises:
the service module is used for processing the service and sending a corresponding calculation request after the service processing is finished;
and the calculation module is used for receiving the calculation request and calculating based on the calculation request to obtain a calculation result.
2. The cloud resource computing system of claim 1, wherein the business module sends the corresponding computing request, comprising:
the service module sends the calculation request to a preset queue;
the computation module receives the computation request, including:
the calculation module receives the calculation request from the preset queue.
3. The cloud resource computing system of claim 1, wherein the computing request includes a target resource type, a target computing attribute, a target resource name;
the calculation module performs calculation based on the calculation request to obtain a calculation result, and the calculation result comprises:
the calculation module determines a target calculation strategy based on the target resource type, calculates to obtain a calculation result based on the target calculation strategy and the target calculation attribute, and determines the calculation result based on the target resource name and the calculation result.
4. The cloud resource computing system of claim 3, further comprising:
the storage module is used for storing the corresponding relation between the resource type and the calculation strategy;
the compute module determines a target compute policy based on the target resource type, including:
and the calculation module determines the target calculation strategy corresponding to the target resource type based on the corresponding relation.
5. The cloud resource computing system of claim 1, wherein the number of computing modules is a preset number, and the preset number has a value greater than 1.
6. A cloud resource computing method is characterized in that a computing module applied to a cloud platform comprises the following steps:
receiving a computing request sent after a service module in the cloud platform processes a service;
and calculating based on the calculation request to obtain a calculation result.
7. The method of claim 6, wherein the receiving the computation request sent by the service module after processing the service comprises:
and receiving the calculation request from a preset queue, wherein the calculation request is sent to the preset queue after the service module finishes processing the service.
8. A cloud resource computing method is characterized in that a service module applied to a cloud platform comprises the following steps:
processing the service;
and sending a corresponding computing request to a computing module of the cloud platform after the business processing is finished, so that the computing module obtains a computing result by computing based on the computing request.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the cloud resource computing method of any of claims 6 to 8 when executing said computer program.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the cloud resource computing method according to any one of claims 6 to 8.
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Application publication date: 20210409 |