CN116560859A - A cloud computing-based access device resource allocation method and related devices - Google Patents

Abstract

The present invention discloses a cloud computing-based access device resource allocation method and related devices, wherein the method includes: a cloud computing server establishes a network connection with the access device, and receives an operation resource allocation request of the access device; Analyze and process the running resource requirements of several pending program processes in the resource allocation request; create and process the namespace to obtain the namespace of the access device in the cloud computing server; perform fixed running resource data and standby running resources in the namespace Data allocation and processing; control several program processes to be run by allocating fixed operating resource data and allocating spare operating resource data for process operation processing, and loading the program operating results to the access device for display. In the embodiment of the present invention, it is possible to allocate corresponding computing resources to the access device, to ensure the stable operation of the program process, and to make the computing resources of the cloud computing server more efficiently utilized.

Description

A cloud computing-based access device resource allocation method and related devices

technical field

The present invention relates to the technical field of cloud computing, in particular to a cloud computing-based access device resource allocation method and related devices.

Background technique

With the popularization of cloud computing technology, the operation of some program processes that require large computing resources is handed over to the cloud computing server for processing. In some cases, the required computing resources may suddenly increase. Therefore, when the requester requests to run a certain program process or multiple program processes, sufficient computing resources need to be given to run a certain program process or multiple program processes; but most of the running These programs do not require so many computing resources during the process time, thus resulting in a large waste of computing resources, making the computing resource utilization rate of the cloud computing server low.

Contents of the invention

The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a cloud computing-based access device resource allocation method and related devices, which can allocate corresponding computing resources for the access device, ensure the stable operation of the program process, and at the same time make the cloud The utilization efficiency of computing resources of the computing server is higher.

In order to solve the above technical problems, an embodiment of the present invention provides a method for allocating access device resources based on cloud computing, the method comprising:

The cloud computing server establishes a network connection with the access device, and receives an operation resource allocation request of the access device, and the operation resource allocation request includes several program processes to be executed that the access device needs to run on the cloud computing server;

The cloud computing server analyzes and processes the running resource requirements of several program processes to be run in the running resource allocation request, and obtains fixed running resource data and spare running resource data corresponding to several running program processes;

In the cloud computing server, create a namespace based on the device ID of the access device, and obtain the namespace of the access device in the cloud computing server;

The cloud computing server performs fixed operation resource data and standby operation resource data allocation processing in the namespace based on the fixed operation resource data and standby operation resource data required by the plurality of program processes to be executed, and obtains the named Allocation of fixed operating resource data and allocation of spare operating resource data in the space;

Controlling the several program processes to be run to perform process running processing by using the allocated fixed running resource data and the allocated spare running resource data in the namespace, and loading the program running results to the access device for display.

Optionally, the receiving the operation resource allocation request of the access device includes:

The cloud computing server receives the running resource allocation request generated by the user on the access device based on the request operation of several program processes to be run on the cloud computing server.

Optionally, the cloud computing server analyzes and processes the running resource requirements of several program processes to be run in the running resource allocation request, and obtains the fixed running resource data and spare running resources corresponding to the several running program processes data, including:

The cloud computing server obtains the historical demand running resource data required by each of the several program processes to be run within a period of time;

Analyzing and processing the historical demand operation resource data required by each of the several program processes to be run within a certain period of time to obtain the time period for each of the several program processes to be run within a period of time Historical demand stable operation resource data and historical demand peak operation resource data during smooth operation;

Based on the historical demand smooth running resource data and the historical demand peak running resource data of each of the several pending program processes running smoothly within a period of time, calculate and obtain the corresponding fixed fixed requirements for several pending program processes Operating resource data and standby operating resource data.

Optionally, the several programs to be run are calculated and obtained based on the historical demand smooth running resource data and historical demand peak running resource data when each of the several pending program processes runs smoothly within a period of time The process corresponds to the required fixed operating resource data and backup operating resource data, including:

Adding the historical demand smooth running resource data for each of the several pending program processes during a period of smooth running to obtain the fixed running resource data corresponding to the several pending program processes ;

Adding the historical demand peak operating resource data of each of the several program processes to be run during a period of smooth operation to obtain an addition result;

subtracting the fixed operating resource data from the addition result to obtain a subtraction result;

Adding the amount of preset operating resource data to the subtraction result to form backup operating resource data required by several program processes to be executed;

The preset operating resource data amount is obtained by subtracting and multiplying the preset ratio from the addition result.

Optionally, the creating a namespace based on the device ID of the access device in the cloud computing server includes:

In the cloud computing server, based on the device ID of the access device, the function () function in the JavaScript framework is called to create a namespace.

Optionally, the cloud computing server allocates the fixed running resource data and the standby running resource data in the namespace based on the fixed running resource data and standby running resource data required by the several program processes to be run, include:

Obtain remaining computing resource data in each computing node and shared computing resource data in the cloud computing server in the cloud computing server;

The cloud computing server uses the remaining computing resource data to allocate fixed running resource data in the namespace based on the fixed running resource data required by the several program processes to be run, and the fixed running resource data is resource data used only within said namespace;

The cloud computing server uses the shared computing resource data to allocate backup running resource data in the name space based on the backup running resource data required by the several programs to be run, and the backup running resource data In order to have running resource data called at any time in the namespace, the shared computing resource data is standby running resource data repeatedly assigned to different namespaces, and the shared computing resource data and the remaining computing resources The data are non-overlapping resource data in the cloud computing server.

Optionally, the controlling the several program processes to be run to perform process running processing by using the allocated fixed running resource data and the allocated spare running resource data in the namespace includes:

Obtain the several program processes to be run in the cloud computing server, and control the several program processes to be run in the namespace based on the currently required running resource data of the several program processes to be run Invoking the allocated fixed running resource data and the allocated spare running resource data to perform process running processing.

In addition, the embodiment of the present invention also provides a device for allocating access device resources based on cloud computing, the device includes:

Receiving module: used for the cloud computing server to establish a network connection with the access device, and receive the operation resource allocation request of the access device, and the operation resource allocation request includes several resources that the access device needs to run on the cloud computing server The program process to be run;

Analysis module: used for the cloud computing server to analyze and process the running resource requirements of several program processes to be run in the running resource allocation request, and obtain fixed running resource data and standby running resources corresponding to several running program processes resource data;

A building block: used to create a namespace in the cloud computing server based on the device ID of the access device, and obtain the namespace of the access device in the cloud computing server;

Allocation module: used for the cloud computing server to perform fixed operation resource data and standby operation resource data allocation processing in the namespace based on the fixed operation resource data and standby operation resource data required by the plurality of program processes to be executed , to obtain the allocated fixed operating resource data and the allocated spare operating resource data in the namespace;

Operation control module: used to control the several program processes to be executed to use the allocated fixed operating resource data and the allocated spare operating resource data to perform process operation processing in the namespace, and load the program operating results to the The access device described above is displayed.

In addition, an embodiment of the present invention also provides a cloud computing server, including a processor and a memory, and the processor runs a computer program or code stored in the memory to implement the access device described in any one of the above resource allocation method.

In addition, an embodiment of the present invention also provides a computer-readable storage medium for storing computer programs or codes. When the computer programs or codes are executed by a processor, the access device described in any one of the above resource allocation method.

In the embodiment of the present invention, when the requesting end needs the cloud computing server to run the related program process to be run, the program process to be run is allocated corresponding fixed running resource data and spare running resource data in the namespace, wherein the allocation Compared with the operating resource data that can be shared, the corresponding computing resources can be allocated for the access device, ensuring the stable operation of the program process, reducing the waste of resources in the cloud computing server, and at the same time making the computing resources of the cloud computing server The utilization efficiency is higher.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic flowchart of a method for allocating access device resources based on cloud computing in an embodiment of the present invention;

Fig. 2 is a schematic structural composition diagram of an access device resource allocation device based on cloud computing in an embodiment of the present invention;

Fig. 3 is a schematic diagram of the structural composition of the cloud computing server in the embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

Embodiment 1, please refer to FIG. 1 . FIG. 1 is a schematic flowchart of a method for allocating access device resources based on cloud computing in an embodiment of the present invention.

As shown in Figure 1, a method for allocating access device resources based on cloud computing, the method includes:

S11: The cloud computing server establishes a network connection with the access device, and receives the running resource allocation request of the access device, the running resource allocation request includes several programs to be run that the access device needs to run on the cloud computing server process;

In the specific implementation process of the present invention, the receiving the operation resource allocation request of the access device includes: the cloud computing server receives several programs to be run by the user on the access device based on the need to run on the cloud computing server A running resource allocation request generated by a process performing a requested operation.

Specifically, the access device needs to establish a network connection with the cloud computing server through identity authentication. The specific identity authentication method can be through a variety of methods, including account passwords, biometrics, or authentication methods provided by a third party; After the server establishes a network connection, the cloud computing server can receive the running team member allocation request sent by the access device; wherein the running resource allocation request is a number of program processes to be run on the cloud computing server by the user on the access device according to needs To perform the running resource allocation request generated by the related request operation.

S12: The cloud computing server analyzes and processes the running resource requirements of several program processes to be run in the running resource allocation request, and obtains fixed running resource data and standby running resource data corresponding to the several running program processes;

In the specific implementation process of the present invention, the cloud computing server analyzes and processes the running resource requirements of several program processes to be run in the running resource allocation request, and obtains the fixed running resource data corresponding to the number of program processes to be run and standby running resource data, including: the cloud computing server obtains historical demand running resource data required by each of the several running program processes within a period of time; Analyze and process the running resource data required by each program process to be run for a period of time, and obtain the historical demand for each program process to be run in a period of time when the program process to be run smoothly runs smoothly Resource data and historical demand peak operating resource data; based on the historical demand smooth operating resource data and historical demand peak operating resource data of each of the several pending program processes running smoothly within a period of time, a number of A program process to be run corresponds to the required fixed running resource data and standby running resource data.

Further, the several program processes to be run are calculated and obtained based on the historical demand smooth running resource data and historical demand peak running resource data when each of the several pending program processes runs smoothly within a period of time Corresponding to the required fixed operation resource data and standby operation resource data, including: adding the historical demand smooth operation resource data when each of the several pending program processes runs smoothly within a period of time , to obtain the fixed operating resource data corresponding to the number of program processes to be run; to add the historical demand peak operating resource data of each of the program processes to be run in a period of time when the program process is running smoothly processing to obtain an addition result; using the addition result to subtract the fixed operation resource data to obtain the subtraction result; adding the preset operation resource data amount to the subtraction result to form a number of program processes to be executed corresponding to the The required spare operating resource data; the preset operating resource data amount is obtained by subtracting and multiplying the preset ratio and the addition result.

Specifically, it is first necessary to use the cloud computing server to obtain the historical demand operation resource data required by each of the program processes to be run in the latest period of time when the program processes to be run; Analyze and process the historical demand running resource data required by each program process to be run within a period of time, so as to obtain the historical demand when each program process to be run smoothly runs within a period of time among several program processes to be run smoothly Resource data and historical demand peak operating resource data; and then calculate and obtain several A program process to be run corresponds to the required fixed running resource data and standby running resource data.

That is, by summing up the historical demand smooth running resource data for each of the several pending program processes running smoothly within a period of time, the fixed running resource data required by the several pending program processes can be obtained. Resource data; for the standby operation resource data, it is necessary to add the historical demand peak operation resource data of each of the several to-be-run program processes when each of the to-be-run program processes runs smoothly for a period of time to obtain the addition result; and then Then use the addition result to subtract the fixed operation resource data to obtain the subtraction result; add the preset operation resource data amount to the subtraction result to form the backup operation resource data required by several waiting program processes; preset operation The amount of resource data is obtained by subtracting and multiplying the preset ratio and the addition result; that is, assuming that the subtraction result is 100, the calculation of the backup operation resource data is: 100+100*X, where X is the preset ratio, which can be 10 %, 15%, specifically set and generated by people with relevant permissions.

S13: Create a namespace in the cloud computing server based on the device ID of the access device, and obtain a namespace of the access device in the cloud computing server;

In the specific implementation process of the present invention, the creation process of the namespace based on the device ID of the access device in the cloud computing server includes: calling in the cloud computing server based on the device ID of the access device The function() function in the JavaScript framework performs the creation process of the namespace.

Specifically, the function () function in the JavaScript framework is used in the cloud computing server to create a namespace, that is, the function () function in the JavaScript framework is called according to the device ID of the access device to create a namespace; the created naming The space is a logical isolation mechanism space. Each access device creates a corresponding namespace. The program processes to be run requested by the access device will be executed in the corresponding namespace according to the allocated resource data, which can effectively Realize data isolation between each access device and ensure data security between each access device.

S14: The cloud computing server performs fixed operation resource data and backup operation resource data allocation processing in the namespace based on the fixed operation resource data and standby operation resource data required by the plurality of program processes to be executed, and obtains the Allocation of fixed operating resource data and allocation of spare operating resource data in the namespace described above;

In the specific implementation process of the present invention, the cloud computing server performs fixed operation resource data and backup operation resource data in the namespace based on the fixed operation resource data and backup operation resource data required by the several program processes to be executed. Data distribution processing, including:

In the cloud computing server, obtain the remaining computing resource data in each computing node and the shared computing resource data in the cloud computing server; The resource data uses the remaining computing resource data to perform fixed operation resource data allocation processing in the namespace, and the fixed operation resource data is resource data used only in the namespace; the cloud computing server is based on the The standby running resource data required by several program processes to be run is allocated in the namespace by using the shared computing resource data, and the standby running resource data is available in the namespace at any time. Invoked running resource data, the shared computing resource data is standby running resource data repeatedly assigned to different namespaces, and the shared computing resource data and the remaining computing resource data are in the cloud Compute non-overlapping resource data in the server.

Specifically, the cloud computing server first obtains the remaining computing resource data remaining in each computing node on it and the shared computing resource data in the cloud computing server; The required fixed operation resource data is allocated and processed in the namespace using the remaining computing resource data, wherein the fixed operation resource data is the resource data used only in the namespace; then the cloud computing server then The standby running resource data required by the process of the program to be run is allocated and processed in the namespace by using the shared computing resource data. The standby running resource data is the running resource data that can be called at any time in the namespace, and the shared computing resources The data is standby running resource data that can be repeatedly assigned to different namespaces, and the shared computing resource data and the remaining computing resource data are resource data that do not overlap in the cloud computing server.

It can be understood that after the remaining computing resource data is allocated to a namespace as the allocated fixed operating resource data, the remaining computing resource data will become less, and when the allocated fixed operating resource data in the namespace decreases, the reduced part will be re- Data of remaining computing resources can be allocated to other namespaces; data of shared computing resources is different, data of shared computing resources can be allocated to multiple namespaces at the same time, and become data of allocated spare running resources; the specific assumption is that shared computing resources The amount of resource data is 1000. Now there are 10 namespaces, each of which needs to allocate 200 spare running resource data, so you can use the shared computing resource data to allocate spare running resources according to the needs of each namespace. Resource allocation for data is mainly to consider that these namespaces generally do not need to be used to allocate spare operating resource data at the same time, so that allocation can maximize the resource utilization efficiency of cloud computing servers and reduce resource waste.

S15: Control the several program processes to be run to use the allocated fixed running resource data and the allocated spare running resource data to perform process running processing in the namespace, and load the program running results to the access device for execution show.

In the specific implementation process of the present invention, the controlling of the several program processes to be run to perform process running processing in the namespace using the allocated fixed running resource data and the allocated spare running resource data includes: obtain the several program processes to be run from the cloud computing server, and control the several program processes to be run to call the The above-mentioned allocated fixed operation resource data and the above-mentioned allocated spare operation resource data are used for process operation processing.

Specifically, a number of program processes to be run are obtained in the cloud computing server, and then the number of program processes to be run is controlled to call and allocate fixed running resources according to the current running resource data of the number of program processes to be run in the namespace. Data and allocation of spare operation resource data for process operation processing, the operation results formed during the operation will generate video streams, and then be loaded into the access device through the network connection for display.

In the embodiment of the present invention, when the requesting end needs the cloud computing server to run the related program process to be run, the program process to be run is allocated corresponding fixed running resource data and spare running resource data in the namespace, wherein the allocation Compared with the operating resource data that can be shared, the corresponding computing resources can be allocated for the access device, ensuring the stable operation of the program process, reducing the waste of resources in the cloud computing server, and at the same time making the computing resources of the cloud computing server The utilization efficiency is higher.

Embodiment 2, 1 Please refer to FIG. 2 . FIG. 2 is a schematic structural composition diagram of an access device resource allocation device based on cloud computing in an embodiment of the present invention.

As shown in Figure 2, a device for allocating access device resources based on cloud computing, the device includes:

Receiving module 21: used for the cloud computing server to establish a network connection with the access device, and receive the operation resource allocation request of the access device, and the operation resource allocation request includes several resources that the access device needs to run on the cloud computing server. a program process to be run;

In the specific implementation process of the present invention, the receiving the operation resource allocation request of the access device includes: the cloud computing server receives several programs to be run by the user on the access device based on the need to run on the cloud computing server A running resource allocation request generated by a process performing a requested operation.

Specifically, the access device needs to establish a network connection with the cloud computing server through identity authentication. The specific identity authentication method can be through a variety of methods, including account passwords, biometrics, or authentication methods provided by a third party; After the server establishes a network connection, the cloud computing server can receive the running team member allocation request sent by the access device; wherein the running resource allocation request is a number of program processes to be run on the cloud computing server by the user on the access device according to needs To perform the running resource allocation request generated by the related request operation.

Analysis module 22: used for the cloud computing server to analyze and process the running resource requirements of several program processes to be run in the running resource allocation request, and obtain the fixed running resource data and spare run resource data;

In the specific implementation process of the present invention, the cloud computing server analyzes and processes the running resource requirements of several program processes to be run in the running resource allocation request, and obtains the fixed running resource data corresponding to the number of program processes to be run and standby running resource data, including: the cloud computing server obtains historical demand running resource data required by each of the several running program processes within a period of time; Analyze and process the running resource data required by each program process to be run for a period of time, and obtain the historical demand for each program process to be run in a period of time when the program process to be run smoothly runs smoothly Resource data and historical demand peak operating resource data; based on the historical demand smooth operating resource data and historical demand peak operating resource data of each of the several pending program processes running smoothly within a period of time, a number of A program process to be run corresponds to the required fixed running resource data and standby running resource data.

Further, the several program processes to be run are calculated and obtained based on the historical demand smooth running resource data and historical demand peak running resource data when each of the several pending program processes runs smoothly within a period of time Corresponding to the required fixed operation resource data and standby operation resource data, including: adding the historical demand smooth operation resource data when each of the several pending program processes runs smoothly within a period of time , to obtain the fixed operating resource data corresponding to the number of program processes to be run; to add the historical demand peak operating resource data of each of the program processes to be run in a period of time when the program process is running smoothly processing to obtain an addition result; using the addition result to subtract the fixed operation resource data to obtain the subtraction result; adding the preset operation resource data amount to the subtraction result to form a number of program processes to be executed corresponding to the The required spare operating resource data; the preset operating resource data amount is obtained by subtracting and multiplying the preset ratio and the addition result.

Specifically, it is first necessary to use the cloud computing server to obtain the historical demand operation resource data required by each of the program processes to be run in the latest period of time when the program processes to be run; Analyze and process the historical demand running resource data required by each program process to be run within a period of time, so as to obtain the historical demand when each program process to be run smoothly runs within a period of time among several program processes to be run smoothly Resource data and historical demand peak operating resource data; and then calculate and obtain several A program process to be run corresponds to the required fixed running resource data and standby running resource data.

That is, by summing up the historical demand smooth running resource data for each of the several pending program processes running smoothly within a period of time, the fixed running resource data required by the several pending program processes can be obtained. Resource data; for the standby operation resource data, it is necessary to add the historical demand peak operation resource data of each of the several to-be-run program processes when each of the to-be-run program processes runs smoothly for a period of time to obtain the addition result; and then Then use the addition result to subtract the fixed operation resource data to obtain the subtraction result; add the preset operation resource data amount to the subtraction result to form the backup operation resource data required by several waiting program processes; preset operation The amount of resource data is obtained by subtracting and multiplying the preset ratio and the addition result; that is, assuming that the subtraction result is 100, the calculation of the backup operation resource data is: 100+100*X, where X is the preset ratio, which can be 10 %, 15%, specifically set and generated by people with relevant permissions.

Construction module 23: used to create a namespace based on the device ID of the access device in the cloud computing server, and obtain the namespace of the access device in the cloud computing server;

In the specific implementation process of the present invention, the creation process of the namespace based on the device ID of the access device in the cloud computing server includes: calling in the cloud computing server based on the device ID of the access device The function() function in the JavaScript framework performs the creation process of the namespace.

Specifically, the function () function in the JavaScript framework is used in the cloud computing server to create a namespace, that is, the function () function in the JavaScript framework is called according to the device ID of the access device to create a namespace; the created naming The space is a logical isolation mechanism space. Each access device creates a corresponding namespace. The program processes to be run requested by the access device will be executed in the corresponding namespace according to the allocated resource data, which can effectively Realize data isolation between each access device and ensure data security between each access device.

Allocation module 24: used for the cloud computing server to allocate fixed operating resource data and standby operating resource data in the namespace based on the fixed operating resource data and standby operating resource data required by the several program processes to be executed processing, obtaining data on allocated fixed operating resources and allocated spare operating resources in the namespace;

In the specific implementation process of the present invention, the cloud computing server performs fixed operation resource data and backup operation resource data in the namespace based on the fixed operation resource data and backup operation resource data required by the several program processes to be executed. Data distribution processing, including:

In the cloud computing server, obtain the remaining computing resource data in each computing node and the shared computing resource data in the cloud computing server; The resource data uses the remaining computing resource data to perform fixed operation resource data allocation processing in the namespace, and the fixed operation resource data is resource data used only in the namespace; the cloud computing server is based on the The standby running resource data required by several program processes to be run is allocated in the namespace by using the shared computing resource data, and the standby running resource data is available in the namespace at any time. Invoked running resource data, the shared computing resource data is standby running resource data repeatedly assigned to different namespaces, and the shared computing resource data and the remaining computing resource data are in the cloud Compute non-overlapping resource data in the server.

Specifically, the cloud computing server first obtains the remaining computing resource data remaining in each computing node on it and the shared computing resource data in the cloud computing server; The required fixed operation resource data is allocated and processed in the namespace using the remaining computing resource data, wherein the fixed operation resource data is the resource data used only in the namespace; then the cloud computing server then The standby running resource data required by the process of the program to be run is allocated and processed in the namespace by using the shared computing resource data. The standby running resource data is the running resource data that can be called at any time in the namespace, and the shared computing resources The data is standby running resource data that can be repeatedly assigned to different namespaces, and the shared computing resource data and the remaining computing resource data are resource data that do not overlap in the cloud computing server.

It can be understood that after the remaining computing resource data is allocated to a namespace as the allocated fixed operating resource data, the remaining computing resource data will become less, and when the allocated fixed operating resource data in the namespace decreases, the reduced part will be re- Data of remaining computing resources can be allocated to other namespaces; data of shared computing resources is different, data of shared computing resources can be allocated to multiple namespaces at the same time, and become data of allocated spare running resources; the specific assumption is that shared computing resources The amount of resource data is 1000. Now there are 10 namespaces, each of which needs to allocate 200 spare running resource data, so you can use the shared computing resource data to allocate spare running resources according to the needs of each namespace. Resource allocation for data is mainly to consider that these namespaces generally do not need to be used to allocate spare operating resource data at the same time, so that allocation can maximize the resource utilization efficiency of cloud computing servers and reduce resource waste.

Operation control module 25: used to control the number of program processes to be run to use the allocated fixed operating resource data and the allocated spare operating resource data to perform process operation processing in the namespace, and load the program operating results to The access device displays.

In the specific implementation process of the present invention, the controlling of the several program processes to be run to perform process running processing in the namespace using the allocated fixed running resource data and the allocated spare running resource data includes: obtain the several program processes to be run from the cloud computing server, and control the several program processes to be run to call the The above-mentioned allocated fixed operation resource data and the above-mentioned allocated spare operation resource data are used for process operation processing.

Specifically, a number of program processes to be run are obtained in the cloud computing server, and then the number of program processes to be run is controlled to call and allocate fixed running resources according to the current running resource data of the number of program processes to be run in the namespace. Data and allocation of spare operation resource data for process operation processing, the operation results formed during the operation will generate video streams, and then be loaded into the access device through the network connection for display.

In the embodiment of the present invention, when the requesting end needs the cloud computing server to run the related program process to be run, the program process to be run is allocated corresponding fixed running resource data and spare running resource data in the namespace, wherein the allocation Compared with the operating resource data that can be shared, the corresponding computing resources can be allocated for the access device, ensuring the stable operation of the program process, reducing the waste of resources in the cloud computing server, and at the same time making the computing resources of the cloud computing server The utilization efficiency is higher.

An embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the program is executed by a processor, the access device resource allocation method in any one of the above-mentioned embodiments is implemented. Wherein, the computer-readable storage medium includes but is not limited to any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory, read-only memory), RAM (Random AccessSSMemory , random memory), EPROM (EraSable Programmable Read-Only Memory, erasable programmable read-only memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, electrically erasable programmable read-only memory), flash memory, magnetic card or optical card . That is, a storage device includes any medium that stores or transmits information in a readable form by a device (eg, a computer, a mobile phone), and may be a read-only memory, a magnetic disk or an optical disk, and the like.

An embodiment of the present invention also provides a computer application program, which runs on a computer, and the computer application program is used to execute the access device resource allocation method in any one of the above embodiments.

In addition, FIG. 3 is a schematic diagram of the structural composition of the cloud computing server in the embodiment of the present invention.

The embodiment of the present invention also provides a cloud computing server, as shown in FIG. 3 . The cloud computing server includes components such as a processor 302, a memory 303, an input unit 304, and a display unit 305. Those skilled in the art can understand that the device structure devices shown in FIG. 3 are not limited to all devices, and may include more or less components than those shown in the figure, or combine certain components. The memory 303 can be used to store the application program 301 and various functional modules, and the processor 302 runs the application program 301 stored in the memory 303 to execute various functional applications and data processing of the device. The memory may be internal memory or external memory, or include both internal memory and external memory. Internal memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or random access memory. External storage may include hard disk, floppy disk, ZIP disk, U disk, magnetic tape, etc. The memory disclosed in the present invention includes but is not limited to these types of memory. The memory disclosed in the present invention is only an example rather than a limitation.

The input unit 304 is used for receiving signal input, and receiving a keyword input by a user. The input unit 304 may include a touch panel and other input devices. The touch panel can collect the user's touch operation on or near it (such as the user's operation on the touch panel or near the touch panel using any suitable object or accessory such as a finger, a stylus), and The program drives the corresponding connection device; other input devices may include but are not limited to one or more of physical keyboards, function keys (such as playback control buttons, switch buttons, etc.), trackballs, mice, and joysticks. The display unit 305 can be used to display information input by the user or provided to the user, as well as various menus of the terminal device. The display unit 305 may be in the form of a liquid crystal display, an organic light emitting diode, or the like. The processor 302 is the control center of the terminal equipment, and uses various interfaces and lines to connect various parts of the entire equipment, by running or executing software programs and/or modules stored in the memory 303, and calling data stored in the memory to execute Various functions and processing data.

As an embodiment, the cloud computing server includes: one or more processors 302, a memory 303, and one or more application programs 301, wherein the one or more application programs 301 are stored in the memory 303 and configured To be executed by the one or more processors 302, the one or more application programs 301 are configured to execute the access device resource allocation method in any one of the above embodiments.

In the embodiment of the present invention, when the requesting end needs the cloud computing server to run the related program process to be run, the program process to be run is allocated corresponding fixed running resource data and spare running resource data in the namespace, wherein the allocation Compared with the operating resource data that can be shared, the corresponding computing resources can be allocated for the access device, ensuring the stable operation of the program process, reducing the waste of resources in the cloud computing server, and at the same time making the computing resources of the cloud computing server The utilization efficiency is higher.

In addition, a cloud computing-based access device resource allocation method and related devices provided by the embodiment of the present invention have been introduced in detail above. In this paper, specific examples should be used to illustrate the principle and implementation of the present invention. The above implementation The description of the example is only used to help understand the method of the present invention and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation and scope of application. In summary As stated above, the content of this specification should not be construed as limiting the present invention.

Claims (10)

1. A method for allocating access device resources based on cloud computing, characterized in that the method comprises: The cloud computing server establishes a network connection with the access device, and receives an operation resource allocation request of the access device, and the operation resource allocation request includes several program processes to be executed that the access device needs to run on the cloud computing server; The cloud computing server analyzes and processes the running resource requirements of several program processes to be run in the running resource allocation request, and obtains fixed running resource data and spare running resource data corresponding to several running program processes; In the cloud computing server, create a namespace based on the device ID of the access device, and obtain the namespace of the access device in the cloud computing server; The cloud computing server performs fixed operation resource data and standby operation resource data allocation processing in the namespace based on the fixed operation resource data and standby operation resource data required by the plurality of program processes to be executed, and obtains the named Allocation of fixed operating resource data and allocation of spare operating resource data in the space; Controlling the several program processes to be run to perform process running processing by using the allocated fixed running resource data and the allocated spare running resource data in the namespace, and loading the program running results to the access device for display. 2. The access device resource allocation method according to claim 1, wherein the receiving the operation resource allocation request of the access device comprises: The cloud computing server receives the running resource allocation request generated by the user on the access device based on the request operation of several program processes to be run on the cloud computing server. 3. The access device resource allocation method according to claim 1, characterized in that, the cloud computing server analyzes and processes the running resource requirements of several program processes to be run in the running resource allocation request, and obtains several pending program processes. The running program process corresponds to the required fixed running resource data and spare running resource data, including: The cloud computing server obtains the historical demand running resource data required by each of the several program processes to be run within a period of time; Analyzing and processing the historical demand operation resource data required by each of the several program processes to be run within a certain period of time to obtain the time period for each of the several program processes to be run within a period of time Historical demand stable operation resource data and historical demand peak operation resource data during smooth operation; Based on the historical demand smooth running resource data and the historical demand peak running resource data of each of the several pending program processes running smoothly within a period of time, calculate and obtain the corresponding fixed fixed requirements for several pending program processes Operating resource data and standby operating resource data. 4. The method for allocating access device resources according to claim 3, characterized in that the smooth operation resource is based on the historical demand of each of the several program processes to be executed when each of the program processes to be executed runs smoothly within a period of time Data and historical demand peak operating resource data calculation Obtain fixed operating resource data and spare operating resource data corresponding to several pending program processes, including: Adding the historical demand smooth running resource data for each of the several pending program processes during a period of smooth running to obtain the fixed running resource data corresponding to the several pending program processes ; Adding the historical demand peak operating resource data of each of the several program processes to be run during a period of smooth operation to obtain an addition result; subtracting the fixed operating resource data from the addition result to obtain a subtraction result; Adding the amount of preset operating resource data to the subtraction result to form backup operating resource data required by several program processes to be executed; The preset operating resource data amount is obtained by subtracting and multiplying the preset ratio from the addition result. 5. The method for allocating access device resources according to claim 1, wherein the creation process of the namespace based on the device ID of the access device in the cloud computing server includes: In the cloud computing server, based on the device ID of the access device, the function () function in the JavaScript framework is called to create a namespace. 6. The method for allocating access device resources according to claim 1, wherein the cloud computing server is based on the fixed running resource data and spare running resource data required by the corresponding program processes to be run in the naming Allocation and processing of fixed operating resource data and spare operating resource data in the space, including: Obtain remaining computing resource data in each computing node and shared computing resource data in the cloud computing server in the cloud computing server; The cloud computing server uses the remaining computing resource data to allocate fixed running resource data in the namespace based on the fixed running resource data required by the several program processes to be run, and the fixed running resource data is resource data used only within said namespace; The cloud computing server uses the shared computing resource data to allocate spare running resource data in the name space based on the backup running resource data required by the several program processes to be run, and the backup running resource data is There is running resource data called at any time in the namespace, the shared computing resource data is standby running resource data repeatedly assigned to different namespaces, and the shared computing resource data and the remaining computing resource data Among them are resource data that do not overlap in the cloud computing server. 7. The access device resource allocation method according to claim 1, characterized in that, said controlling said several program processes to be run utilizes said allocated fixed running resource data and said allocated spare running resource data in said name space Resource data is processed by process operation, including: Obtain the several program processes to be run in the cloud computing server, and control the several program processes to be run in the namespace based on the currently required running resource data of the several program processes to be run Invoking the allocated fixed running resource data and the allocated spare running resource data to perform process running processing. 8. An access device resource allocation device based on cloud computing, characterized in that the device comprises: Receiving module: used for the cloud computing server to establish a network connection with the access device, and receive the operation resource allocation request of the access device, and the operation resource allocation request includes several resources that the access device needs to run on the cloud computing server The program process to be run; Analysis module: used for the cloud computing server to analyze and process the running resource requirements of several program processes to be run in the running resource allocation request, and obtain the fixed running resource data and standby running resources corresponding to the several running program processes resource data; A building module: used to create a namespace in the cloud computing server based on the device ID of the access device, and obtain the namespace of the access device in the cloud computing server; Allocation module: used for the cloud computing server to perform fixed operation resource data and backup operation resource data allocation processing in the namespace based on the fixed operation resource data and standby operation resource data required by the plurality of program processes to be executed , to obtain the allocated fixed operating resource data and the allocated spare operating resource data in the namespace; Operation control module: used to control the several program processes to be executed to use the allocated fixed operating resource data and the allocated spare operating resource data to perform process running processing in the namespace, and load the program running results to the The access device described above is displayed. 9. A cloud computing server, comprising a processor and a memory, wherein the processor runs a computer program or code stored in the memory to realize the access according to any one of claims 1 to 7 Device resource allocation method. 10. A computer-readable storage medium for storing computer programs or codes, characterized in that, when the computer programs or codes are executed by a processor, the access according to any one of claims 1 to 7 is realized Device resource allocation method.