CN116560859B - Cloud computing-based access equipment resource allocation method and related device - Google Patents
Cloud computing-based access equipment resource allocation method and related device Download PDFInfo
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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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- 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]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention discloses a cloud computing-based access equipment resource allocation method and a related device, wherein the method comprises the following steps: the cloud computing server establishes network connection with the access equipment and receives an operation resource allocation request of the access equipment; analyzing and processing the operating resource demands of a plurality of to-be-operated sequence processes in the operating resource allocation request; carrying out creation processing of the name space to obtain the name space of the access equipment in the cloud computing server; performing allocation processing on the fixed operation resource data and the standby operation resource data in the naming space; and controlling a plurality of processes to be operated to perform process operation processing by utilizing the distributed fixed operation resource data and the distributed standby operation resource data, and loading a program operation result to the access equipment for display. In the embodiment of the invention, corresponding computing resources can be allocated for the access equipment, the stable running of the program process is ensured, and meanwhile, the utilization efficiency of the computing resources of the cloud computing server is higher.
Description
Technical Field
The present invention relates to the field of cloud computing technologies, and in particular, to a method and an apparatus for allocating resources of an access device based on cloud computing.
Background
With the popularization of cloud computing technology, the running of some program processes needing larger running computing resources is handed to a cloud computing server for running processing, but because the computing resources needed by the running of the program processes are a condition which can have fluctuation, the needed computing resources can be suddenly increased, so that a request end requests to run a certain program process or a plurality of program processes, and sufficient computing resources are needed to be given to run the certain program process or the plurality of program processes; however, most of the running time of the programs does not need as much computing resources, so that larger waste of computing resources is caused, and the computing resource utilization rate of the cloud computing server is lower.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a cloud computing-based access equipment resource allocation method and a related device, which can allocate corresponding computing resources for access equipment, ensure stable running of program processes and enable the utilization efficiency of computing resources of a cloud computing server to be higher.
In order to solve the technical problems, an embodiment of the present invention provides a method for allocating resources of an access device based on cloud computing, where the method includes:
the method comprises the steps that a cloud computing server establishes network connection with access equipment, and receives an operation resource allocation request of the access equipment, wherein the operation resource allocation request comprises a plurality of to-be-operated procedure processes which need to be operated on the cloud computing server by the access equipment;
the cloud computing server analyzes and processes the operation resource requirements of a plurality of to-be-operated sequence processes in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated sequence processes;
performing a creation process of a name space in the cloud computing server based on the device ID of the access device, and obtaining the name space 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 naming space based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, and obtains allocation fixed operation resource data and allocation standby operation resource data in the naming space;
And controlling the processes to be operated to perform process operation processing by utilizing the allocated fixed operation resource data and the allocated standby operation resource data in the name space, and loading a program operation result to the access equipment for display.
Optionally, the receiving the operation resource allocation request of the access device includes:
and the cloud computing server receives an operation resource allocation request generated by a user performing request operation on the access equipment based on a plurality of to-be-operated schedule processes which need to be operated on the cloud computing server.
Optionally, the cloud computing server performs operation resource demand analysis processing on a plurality of to-be-operated process in the operation resource allocation request, to obtain fixed operation resource data and standby operation resource data required by the plurality of to-be-operated process, including:
the cloud computing server obtains historical demand operation resource data required by each to-be-operated process in the plurality of to-be-operated process in a period of time;
analyzing and processing the historical demand operation resource data required by each of the plurality of to-be-operated schedule processes in a period of time to obtain historical demand steady operation resource data and historical demand peak operation resource data when each of the plurality of to-be-operated schedule processes runs steadily in a period of time;
And calculating and obtaining fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated schedule processes according to the historical demand steady operation resource data and the historical demand peak operation resource data when each to-be-operated schedule process in the plurality of to-be-operated schedule processes runs steadily in a period of time.
Optionally, the calculating based on the historical demand steady operation resource data and the historical demand peak operation resource data when each of the plurality of to-be-operated process runs steadily in a period of time to obtain the fixed operation resource data and the standby operation resource data required by the plurality of to-be-operated process, includes:
adding historical demand steady operation resource data of each to-be-operated process in the plurality of to-be-operated process when the to-be-operated process runs steadily in a period of time to obtain fixed operation resource data corresponding to the plurality of to-be-operated process;
adding historical demand peak operation resource data when each to-be-operated process in the plurality of to-be-operated process runs stably within a period of time to obtain an addition result;
Subtracting the fixed operation resource data from the addition result to obtain a subtraction result;
adding a preset operation resource data amount to the subtraction result to form a plurality of standby operation resource data corresponding to the to-be-operated sequence processes;
the preset operation resource data quantity is obtained by multiplying the preset proportion and the addition result in a subtracting way.
Optionally, the creating, in the cloud computing server, a namespace based on the device ID of the access device includes:
and calling a function () function in a JavaScript framework based on the device ID of the access device in the cloud computing server to perform the creation processing of the name space.
Optionally, the cloud computing server performs allocation processing of the fixed operation resource data and the standby operation resource data in the namespace based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, including:
obtaining residual computing resource data in each computing node and shared computing resource data in the cloud computing server;
the cloud computing server utilizes the residual computing resource data to perform fixed operation resource data allocation processing in the naming space based on the fixed operation resource data required by the processes of the plurality of to-be-operated sequences, wherein the fixed operation resource data is resource data only used in the naming space;
The cloud computing server utilizes the shared computing resource data to allocate standby operating resource data in the naming space based on standby operating resource data required by the processes of the plurality of to-be-operated sequences, wherein the standby operating resource data is operating resource data which is called at any time in the naming space, the shared computing resource data is standby operating resource data which is repeatedly allocated to different naming spaces, and resource data which is not overlapped in the cloud computing server are arranged between the shared computing resource data and the residual computing resource data.
Optionally, the controlling the plurality of to-be-run processes to perform process running processing by using the allocated fixed running resource data and the allocated standby running resource data in the namespace includes:
and acquiring the plurality of to-be-operated schedule processes in the cloud computing server, and controlling the plurality of to-be-operated schedule processes to call the allocated fixed operation resource data and the allocated standby operation resource data in the name space based on the currently required operation resource data of the plurality of to-be-operated schedule processes to perform process operation processing.
In addition, the embodiment of the invention also provides a cloud computing-based access equipment resource allocation device, which comprises:
and a receiving module: the method comprises the steps that network connection is established between a cloud computing server and access equipment, and an operation resource allocation request of the access equipment is received, wherein the operation resource allocation request comprises a plurality of to-be-operated schedule processes which are required to be operated on the cloud computing server by the access equipment;
and an analysis module: the cloud computing server is used for analyzing and processing the operation resource requirements of a plurality of to-be-operated sequence processes in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated sequence processes;
the construction module comprises: the method comprises the steps of performing creation processing of a name space in the cloud computing server based on the device ID of the access device, and obtaining the name space of the access device in the cloud computing server;
the distribution module: the cloud computing server is used for carrying out fixed operation resource data and standby operation resource data allocation processing in the naming space based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, so as to obtain allocation fixed operation resource data and allocation standby operation resource data in the naming space;
And an operation control module: and the program running result is loaded to the access equipment for display.
In addition, the embodiment of the invention also provides a cloud computing server, which comprises a processor and a memory, wherein the processor runs a computer program or code stored in the memory to realize the method for allocating the resources of the access equipment.
In addition, an embodiment of the present invention further provides a computer readable storage medium storing a computer program or code, where when the computer program or code is executed by a processor, the method for allocating resources of an access device according to any one of the foregoing embodiments is implemented.
In the embodiment of the invention, when the request end needs the cloud computing server to run the related process of the process to be run, the corresponding fixed operation resource data and the standby operation resource data are allocated for the process of the process to be run in the naming space, the allocation ratio is sharable operation resource data, so that corresponding calculation resources can be allocated to the access equipment, stable operation of a program process is guaranteed, resource waste in the cloud calculation server is reduced, and meanwhile, the utilization efficiency of the calculation resources of the cloud calculation server is higher.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings which are required in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for allocating resources of an access device based on cloud computing in an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a resource allocation device of an access device based on cloud computing in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a cloud computing server according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flow chart of a method for allocating resources of access devices based on cloud computing according to an embodiment of the present invention.
As shown in fig. 1, a method for allocating resources of an access device based on cloud computing, the method includes:
s11: the method comprises the steps that a cloud computing server establishes network connection with access equipment, and receives an operation resource allocation request of the access equipment, wherein the operation resource allocation request comprises a plurality of to-be-operated procedure processes which need to be operated on the cloud computing server by the access equipment;
in the implementation process of the present invention, the receiving the operation resource allocation request of the access device includes: and the cloud computing server receives an operation resource allocation request generated by a user performing request operation on the access equipment based on a plurality of to-be-operated schedule processes which need to be operated on the cloud computing server.
Specifically, the access device needs to establish network connection with the cloud computing server through an identity authentication mode, and the specific identity authentication mode can be through various modes, including account passwords, biological characteristics or authentication modes provided by a third party; after the access equipment and the computing server are connected in a network, the cloud computing server can receive an operation group member allocation request sent by the access equipment; the running resource allocation request is generated by a user performing related request operation according to a plurality of to-be-run schedule processes running on the cloud computing server on the access device.
S12: the cloud computing server analyzes and processes the operation resource requirements of a plurality of to-be-operated sequence processes in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated sequence processes;
in the implementation process of the invention, the cloud computing server analyzes and processes the operation resource demand of a plurality of processes to be operated in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the processes to be operated, and the method comprises the following steps: the cloud computing server obtains historical demand operation resource data required by each to-be-operated process in the plurality of to-be-operated process in a period of time; analyzing and processing the historical demand operation resource data required by each of the plurality of to-be-operated schedule processes in a period of time to obtain historical demand steady operation resource data and historical demand peak operation resource data when each of the plurality of to-be-operated schedule processes runs steadily in a period of time; and calculating and obtaining fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated schedule processes according to the historical demand steady operation resource data and the historical demand peak operation resource data when each to-be-operated schedule process in the plurality of to-be-operated schedule processes runs steadily in a period of time.
Further, the calculating, based on the historical demand steady operation resource data and the historical demand peak operation resource data when each of the plurality of to-be-operated process runs steadily in a period of time, to obtain fixed operation resource data and standby operation resource data required by the plurality of to-be-operated process, includes: adding historical demand steady operation resource data of each to-be-operated process in the plurality of to-be-operated process when the to-be-operated process runs steadily in a period of time to obtain fixed operation resource data corresponding to the plurality of to-be-operated process; adding historical demand peak operation resource data when each to-be-operated process in the plurality of to-be-operated process runs stably within a period of time to obtain an addition result; subtracting the fixed operation resource data from the addition result to obtain a subtraction result; adding a preset operation resource data amount to the subtraction result to form a plurality of standby operation resource data corresponding to the to-be-operated sequence processes; the preset operation resource data quantity is obtained by multiplying the preset proportion and the addition result in a subtracting way.
Specifically, firstly, historical demand operation resource data required by each to-be-operated process in a plurality of to-be-operated process in a latest period of time is required to be obtained through the cloud computing server; then analyzing and processing the historical demand operation resource data required by each of a plurality of to-be-operated schedule processes in a period of time, so as to obtain historical demand steady operation resource data and historical demand peak operation resource data when each of the plurality of to-be-operated schedule processes runs steadily in a period of time; and calculating and obtaining fixed operation resource data and standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences according to the historical demand steady operation resource data and the historical demand peak operation resource data when each process of the plurality of to-be-operated sequences operates steadily in a period of time.
The method comprises the steps that historical demand steady operation resource data of each to-be-operated process in a plurality of to-be-operated process in steady operation within a period of time are added, and fixed operation resource data corresponding to the to-be-operated process can be obtained; for the standby operation resource data, adding the historical demand peak operation resource data when each to-be-operated process in a plurality of to-be-operated processes runs stably in a period of time to obtain an adding result; then subtracting the fixed operation resource data from the addition result to obtain a subtraction result; adding the preset operation resource data amount to the subtraction result to form a plurality of standby operation resource data corresponding to the to-be-operated schedule process; the preset operation resource data quantity is obtained by subtracting and multiplying a preset proportion and the addition result; that is, assuming that the subtraction result is 100, the calculation of the standby operation resource data is: 100+100X, where X is a preset proportion, which may be 10%, 15%, specifically generated by a person with the relevant rights.
S13: performing a creation process of a name space in the cloud computing server based on the device ID of the access device, and obtaining the name space of the access device in the cloud computing server;
in the implementation process of the invention, the creating process of the name space based on the device ID of the access device in the cloud computing server comprises the following steps: and calling a function () function in a JavaScript framework based on the device ID of the access device in the cloud computing server to perform the creation processing of the name space.
Specifically, creating a namespace in the cloud computing server by using a function () function in the JavaScript frame, namely calling the function () function in the JavaScript frame according to the device ID of the access device to perform the creation process of the namespace; the created namespaces are logical isolation mechanism spaces, each access device correspondingly creates a namespace, the processes to be run, which are requested to run by the access devices, run in the namespaces corresponding to the access devices according to the allocated resource data, so that data isolation among each access device can be effectively realized, and the data security among each access device is ensured.
S14: the cloud computing server performs fixed operation resource data and standby operation resource data allocation processing in the naming space based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, and obtains allocation fixed operation resource data and allocation standby operation resource data in the naming space;
in the implementation process of the invention, the cloud computing server performs allocation processing of the fixed operation resource data and the standby operation resource data in the naming space based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, and the allocation processing comprises the following steps:
obtaining residual computing resource data in each computing node and shared computing resource data in the cloud computing server; the cloud computing server utilizes the residual computing resource data to perform fixed operation resource data allocation processing in the naming space based on the fixed operation resource data required by the processes of the plurality of to-be-operated sequences, wherein the fixed operation resource data is resource data only used in the naming space; the cloud computing server utilizes the shared computing resource data to allocate standby operating resource data in the naming space based on standby operating resource data required by the processes of the plurality of to-be-operated sequences, wherein the standby operating resource data is operating resource data which is called at any time in the naming space, the shared computing resource data is standby operating resource data which is repeatedly allocated to different naming spaces, and resource data which is not overlapped in the cloud computing server are arranged between the shared computing resource data and the residual computing resource data.
Specifically, first, remaining computing resource data remaining in each computing node on the cloud computing server and shared computing resource data in the cloud computing server are obtained through the cloud computing server; then the cloud computing server utilizes the residual computing resource data to perform fixed operation resource data distribution processing in a name space according to fixed operation resource data required by the corresponding processes of a plurality of to-be-operated sequences, wherein the fixed operation resource data is resource data only used in the name space; and then the cloud computing server performs spare operation resource data distribution processing in the name space by utilizing shared operation resource data according to the spare operation resource data required by the corresponding processes of the plurality of to-be-operated sequences, wherein the spare operation resource data is operation resource data called at any time in the name space, the shared operation resource data is the spare operation resource data which can be repeatedly distributed into different name spaces, and meanwhile, the shared operation resource data and the rest of the operation resource data are resource data which are not overlapped in the cloud computing server.
It will be appreciated that after the remaining computing resource data is allocated into one namespace as allocated fixed operating resource data, the remaining computing resource data will be reduced, and when the allocated fixed operating resource data is reduced in that namespace, the reduced portion will be re-allocated into the remaining computing resource data before it can be allocated into other namespaces; the shared computing resource data are different, and can be simultaneously distributed to a plurality of namespaces to become distributed standby operating resource data; specifically, assuming that the amount of shared computing resource data is 1000, and in the existing 10 namespaces, the allocated standby operating resource data required by each namespace is 200, the shared computing resource data can be utilized to allocate resources according to the allocated standby operating resource data required by each namespace, and mainly considering that the namespaces generally do not need to be allocated with the allocated standby operating resource data at the same time, the allocation can greatly improve the resource utilization efficiency of the cloud computing server and reduce the resource waste problem.
S15: and controlling the processes to be operated to perform process operation processing by utilizing the allocated fixed operation resource data and the allocated standby operation resource data in the name space, and loading a program operation result to the access equipment for display.
In the implementation process of the present invention, the controlling the processes of the plurality of to-be-operated procedures to perform process operation processing by using the allocated fixed operation resource data and the allocated standby operation resource data in the namespace includes: and acquiring the plurality of to-be-operated schedule processes in the cloud computing server, and controlling the plurality of to-be-operated schedule processes to call the allocated fixed operation resource data and the allocated standby operation resource data in the name space based on the currently required operation resource data of the plurality of to-be-operated schedule processes to perform process operation processing.
Specifically, a plurality of to-be-operated procedure processes are obtained in the cloud computing server, then the to-be-operated procedure processes are controlled to be called and allocated with fixed operation resource data and allocated with standby operation resource data according to currently required operation resource data of the to-be-operated procedure processes in a name space, and a video stream is generated as an operation result formed in the operation process, and then the video stream is loaded into access equipment for display through network connection.
In the embodiment of the invention, when the request end needs the cloud computing server to run the related process of the process to be run, the corresponding fixed operation resource data and the standby operation resource data are allocated for the process of the process to be run in the naming space, the allocation ratio is sharable operation resource data, so that corresponding calculation resources can be allocated to the access equipment, stable operation of a program process is guaranteed, resource waste in the cloud calculation server is reduced, and meanwhile, the utilization efficiency of the calculation resources of the cloud calculation server is higher.
In the second embodiment, referring to fig. 2, fig. 2 is a schematic structural diagram of a resource allocation device of an access device based on cloud computing in the embodiment of the present invention.
As shown in fig. 2, an access device resource allocation apparatus based on cloud computing, the apparatus includes:
the receiving module 21: the method comprises the steps that network connection is established between a cloud computing server and access equipment, and an operation resource allocation request of the access equipment is received, wherein the operation resource allocation request comprises a plurality of to-be-operated schedule processes which are required to be operated on the cloud computing server by the access equipment;
in the implementation process of the present invention, the receiving the operation resource allocation request of the access device includes: and the cloud computing server receives an operation resource allocation request generated by a user performing request operation on the access equipment based on a plurality of to-be-operated schedule processes which need to be operated on the cloud computing server.
Specifically, the access device needs to establish network connection with the cloud computing server through an identity authentication mode, and the specific identity authentication mode can be through various modes, including account passwords, biological characteristics or authentication modes provided by a third party; after the access equipment and the computing server are connected in a network, the cloud computing server can receive an operation group member allocation request sent by the access equipment; the running resource allocation request is generated by a user performing related request operation according to a plurality of to-be-run schedule processes running on the cloud computing server on the access device.
Analysis module 22: the cloud computing server is used for analyzing and processing the operation resource requirements of a plurality of to-be-operated sequence processes in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated sequence processes;
in the implementation process of the invention, the cloud computing server analyzes and processes the operation resource demand of a plurality of processes to be operated in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the processes to be operated, and the method comprises the following steps: the cloud computing server obtains historical demand operation resource data required by each to-be-operated process in the plurality of to-be-operated process in a period of time; analyzing and processing the historical demand operation resource data required by each of the plurality of to-be-operated schedule processes in a period of time to obtain historical demand steady operation resource data and historical demand peak operation resource data when each of the plurality of to-be-operated schedule processes runs steadily in a period of time; and calculating and obtaining fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated schedule processes according to the historical demand steady operation resource data and the historical demand peak operation resource data when each to-be-operated schedule process in the plurality of to-be-operated schedule processes runs steadily in a period of time.
Further, the calculating, based on the historical demand steady operation resource data and the historical demand peak operation resource data when each of the plurality of to-be-operated process runs steadily in a period of time, to obtain fixed operation resource data and standby operation resource data required by the plurality of to-be-operated process, includes: adding historical demand steady operation resource data of each to-be-operated process in the plurality of to-be-operated process when the to-be-operated process runs steadily in a period of time to obtain fixed operation resource data corresponding to the plurality of to-be-operated process; adding historical demand peak operation resource data when each to-be-operated process in the plurality of to-be-operated process runs stably within a period of time to obtain an addition result; subtracting the fixed operation resource data from the addition result to obtain a subtraction result; adding a preset operation resource data amount to the subtraction result to form a plurality of standby operation resource data corresponding to the to-be-operated sequence processes; the preset operation resource data quantity is obtained by multiplying the preset proportion and the addition result in a subtracting way.
Specifically, firstly, historical demand operation resource data required by each to-be-operated process in a plurality of to-be-operated process in a latest period of time is required to be obtained through the cloud computing server; then analyzing and processing the historical demand operation resource data required by each of a plurality of to-be-operated schedule processes in a period of time, so as to obtain historical demand steady operation resource data and historical demand peak operation resource data when each of the plurality of to-be-operated schedule processes runs steadily in a period of time; and calculating and obtaining fixed operation resource data and standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences according to the historical demand steady operation resource data and the historical demand peak operation resource data when each process of the plurality of to-be-operated sequences operates steadily in a period of time.
The method comprises the steps that historical demand steady operation resource data of each to-be-operated process in a plurality of to-be-operated process in steady operation within a period of time are added, and fixed operation resource data corresponding to the to-be-operated process can be obtained; for the standby operation resource data, adding the historical demand peak operation resource data when each to-be-operated process in a plurality of to-be-operated processes runs stably in a period of time to obtain an adding result; then subtracting the fixed operation resource data from the addition result to obtain a subtraction result; adding the preset operation resource data amount to the subtraction result to form a plurality of standby operation resource data corresponding to the to-be-operated schedule process; the preset operation resource data quantity is obtained by subtracting and multiplying a preset proportion and the addition result; that is, assuming that the subtraction result is 100, the calculation of the standby operation resource data is: 100+100X, where X is a preset proportion, which may be 10%, 15%, specifically generated by a person with the relevant rights.
Building block 23: the method comprises the steps of performing creation processing of a name space in the cloud computing server based on the device ID of the access device, and obtaining the name space of the access device in the cloud computing server;
in the implementation process of the invention, the creating process of the name space based on the device ID of the access device in the cloud computing server comprises the following steps: and calling a function () function in a JavaScript framework based on the device ID of the access device in the cloud computing server to perform the creation processing of the name space.
Specifically, creating a namespace in the cloud computing server by using a function () function in the JavaScript frame, namely calling the function () function in the JavaScript frame according to the device ID of the access device to perform the creation process of the namespace; the created namespaces are logical isolation mechanism spaces, each access device correspondingly creates a namespace, the processes to be run, which are requested to run by the access devices, run in the namespaces corresponding to the access devices according to the allocated resource data, so that data isolation among each access device can be effectively realized, and the data security among each access device is ensured.
Distribution module 24: the cloud computing server is used for carrying out fixed operation resource data and standby operation resource data allocation processing in the naming space based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, so as to obtain allocation fixed operation resource data and allocation standby operation resource data in the naming space;
in the implementation process of the invention, the cloud computing server performs allocation processing of the fixed operation resource data and the standby operation resource data in the naming space based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, and the allocation processing comprises the following steps:
obtaining residual computing resource data in each computing node and shared computing resource data in the cloud computing server; the cloud computing server utilizes the residual computing resource data to perform fixed operation resource data allocation processing in the naming space based on the fixed operation resource data required by the processes of the plurality of to-be-operated sequences, wherein the fixed operation resource data is resource data only used in the naming space; the cloud computing server utilizes the shared computing resource data to allocate standby operating resource data in the naming space based on standby operating resource data required by the processes of the plurality of to-be-operated sequences, wherein the standby operating resource data is operating resource data which is called at any time in the naming space, the shared computing resource data is standby operating resource data which is repeatedly allocated to different naming spaces, and resource data which is not overlapped in the cloud computing server are arranged between the shared computing resource data and the residual computing resource data.
Specifically, first, remaining computing resource data remaining in each computing node on the cloud computing server and shared computing resource data in the cloud computing server are obtained through the cloud computing server; then the cloud computing server utilizes the residual computing resource data to perform fixed operation resource data distribution processing in a name space according to fixed operation resource data required by the corresponding processes of a plurality of to-be-operated sequences, wherein the fixed operation resource data is resource data only used in the name space; and then the cloud computing server performs spare operation resource data distribution processing in the name space by utilizing shared operation resource data according to the spare operation resource data required by the corresponding processes of the plurality of to-be-operated sequences, wherein the spare operation resource data is operation resource data called at any time in the name space, the shared operation resource data is the spare operation resource data which can be repeatedly distributed into different name spaces, and meanwhile, the shared operation resource data and the rest of the operation resource data are resource data which are not overlapped in the cloud computing server.
It will be appreciated that after the remaining computing resource data is allocated into one namespace as allocated fixed operating resource data, the remaining computing resource data will be reduced, and when the allocated fixed operating resource data is reduced in that namespace, the reduced portion will be re-allocated into the remaining computing resource data before it can be allocated into other namespaces; the shared computing resource data are different, and can be simultaneously distributed to a plurality of namespaces to become distributed standby operating resource data; specifically, assuming that the amount of shared computing resource data is 1000, and in the existing 10 namespaces, the allocated standby operating resource data required by each namespace is 200, the shared computing resource data can be utilized to allocate resources according to the allocated standby operating resource data required by each namespace, and mainly considering that the namespaces generally do not need to be allocated with the allocated standby operating resource data at the same time, the allocation can greatly improve the resource utilization efficiency of the cloud computing server and reduce the resource waste problem.
The operation control module 25: and the program running result is loaded to the access equipment for display.
In the implementation process of the present invention, the controlling the processes of the plurality of to-be-operated procedures to perform process operation processing by using the allocated fixed operation resource data and the allocated standby operation resource data in the namespace includes: and acquiring the plurality of to-be-operated schedule processes in the cloud computing server, and controlling the plurality of to-be-operated schedule processes to call the allocated fixed operation resource data and the allocated standby operation resource data in the name space based on the currently required operation resource data of the plurality of to-be-operated schedule processes to perform process operation processing.
Specifically, a plurality of to-be-operated procedure processes are obtained in the cloud computing server, then the to-be-operated procedure processes are controlled to be called and allocated with fixed operation resource data and allocated with standby operation resource data according to currently required operation resource data of the to-be-operated procedure processes in a name space, and a video stream is generated as an operation result formed in the operation process, and then the video stream is loaded into access equipment for display through network connection.
In the embodiment of the invention, when the request end needs the cloud computing server to run the related process of the process to be run, the corresponding fixed operation resource data and the standby operation resource data are allocated for the process of the process to be run in the naming space, the allocation ratio is sharable operation resource data, so that corresponding calculation resources can be allocated to the access equipment, stable operation of a program process is guaranteed, resource waste in the cloud calculation server is reduced, and meanwhile, the utilization efficiency of the calculation resources of the cloud calculation server is higher.
An embodiment of the present invention provides a computer readable storage medium, where a computer program is stored, where the program when executed by a processor implements the method for allocating resources of an access device according to any one of the foregoing embodiments. The computer readable storage medium includes, but is not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks, ROMs (Read-Only memories), RAMs (Random AcceSS Memory, random access memories), EPROMs (EraSable Programmable Read-Only memories), EEPROMs (Electrically EraSable ProgrammableRead-Only memories), flash memories, magnetic cards, or optical cards. That is, a storage device includes any medium that stores or transmits information in a form readable by a device (e.g., computer, cell phone), and may be read-only memory, magnetic or optical disk, etc.
The embodiment of the invention also provides a computer application program which runs on a computer and is used for executing the access device resource allocation method of any one of the embodiments.
In addition, fig. 3 is a schematic structural diagram of a cloud computing server in an embodiment of the present invention.
The embodiment of the invention also provides a cloud computing server, as shown in fig. 3. The cloud computing server includes a processor 302, a memory 303, an input unit 304, a display unit 305, and the like. It will be appreciated by those skilled in the art that the device architecture shown in fig. 3 does not constitute a limitation of all devices, and may include more or fewer components than shown, or may combine certain components. The memory 303 may be used to store an application 301 and various functional modules, and the processor 302 runs the application 301 stored in the memory 303, thereby performing various functional applications of the device and data processing. The memory may be internal memory or external memory, or include both internal memory and external memory. The 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. The external memory may include a hard disk, floppy disk, ZIP disk, U-disk, tape, etc. The disclosed memory includes, but is not limited to, these types of memory. The memory disclosed herein is by way of example only and not by way of limitation.
The input unit 304 is used for receiving input of a signal and receiving keywords input by a user. The input unit 304 may include a touch panel and other input devices. The touch panel may collect touch operations on or near the user (e.g., the user's operation on or near the touch panel using any suitable object or accessory such as a finger, stylus, etc.), and drive the corresponding connection device according to a preset program; other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., play control keys, switch keys, etc.), a trackball, mouse, joystick, etc. The display unit 305 may be used to display information input by a user or information provided to the user and various menus of the terminal device. The display unit 305 may take the form of a liquid crystal display, an organic light emitting diode, or the like. The processor 302 is a control center of the terminal device, connects various parts of the entire device using various interfaces and lines, performs various functions and processes data by running or executing software programs and/or modules stored in the memory 303, and invoking data stored in the memory.
As one embodiment, the cloud computing server includes: the system comprises one or more processors 302, a memory 303, 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, and the one or more application programs 301 are configured to perform the access device resource allocation method of any of the above embodiments.
In the embodiment of the invention, when the request end needs the cloud computing server to run the related process of the process to be run, the corresponding fixed operation resource data and the standby operation resource data are allocated for the process of the process to be run in the naming space, the allocation ratio is sharable operation resource data, so that corresponding calculation resources can be allocated to the access equipment, stable operation of a program process is guaranteed, resource waste in the cloud calculation server is reduced, and meanwhile, the utilization efficiency of the calculation resources of the cloud calculation server is higher.
In addition, the foregoing details of the method for allocating resources of an access device based on cloud computing and the related devices provided by the embodiments of the present invention are described in detail, and specific examples should be adopted to illustrate the principles and embodiments of the present invention, where the descriptions of the foregoing embodiments are only used to help understand the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (9)
1. A cloud computing-based access device resource allocation method, the method comprising:
the method comprises the steps that a cloud computing server establishes network connection with access equipment, and receives an operation resource allocation request of the access equipment, wherein the operation resource allocation request comprises a plurality of to-be-operated procedure processes which need to be operated on the cloud computing server by the access equipment;
the cloud computing server analyzes and processes the operation resource requirements of a plurality of to-be-operated sequence processes in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated sequence processes;
performing a creation process of a name space in the cloud computing server based on the device ID of the access device, and obtaining the name space 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 naming space based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, and obtains allocation fixed operation resource data and allocation standby operation resource data in the naming space;
Controlling the processes to be operated to perform process operation processing by utilizing the allocated fixed operation resource data and the allocated standby operation resource data in the name space, and loading a program operation result to the access equipment for display;
the cloud computing server performs operation resource demand analysis processing on a plurality of to-be-operated process in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated process, and the cloud computing server comprises:
the cloud computing server obtains historical demand operation resource data required by each to-be-operated process in the plurality of to-be-operated process in a period of time;
analyzing and processing the historical demand operation resource data required by each of the plurality of to-be-operated schedule processes in a period of time to obtain historical demand steady operation resource data and historical demand peak operation resource data when each of the plurality of to-be-operated schedule processes runs steadily in a period of time;
and calculating and obtaining fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated schedule processes according to the historical demand steady operation resource data and the historical demand peak operation resource data when each to-be-operated schedule process in the plurality of to-be-operated schedule processes runs steadily in a period of time.
2. The access device resource allocation method according to claim 1, wherein said receiving a running resource allocation request of the access device comprises:
and the cloud computing server receives an operation resource allocation request generated by a user performing request operation on the access equipment based on a plurality of to-be-operated schedule processes which need to be operated on the cloud computing server.
3. The method for allocating resources to an access device according to claim 1, wherein the calculating based on the historical demand steady operation resource data and the historical demand peak operation resource data when each of the plurality of to-be-operated process runs steadily in a period of time to obtain the fixed operation resource data and the standby operation resource data required by the plurality of to-be-operated process corresponds to the plurality of to-be-operated process includes:
adding historical demand steady operation resource data of each to-be-operated process in the plurality of to-be-operated process when the to-be-operated process runs steadily in a period of time to obtain fixed operation resource data corresponding to the plurality of to-be-operated process;
adding historical demand peak operation resource data when each to-be-operated process in the plurality of to-be-operated process runs stably within a period of time to obtain an addition result;
Subtracting the fixed operation resource data from the addition result to obtain a subtraction result;
adding a preset operation resource data amount to the subtraction result to form a plurality of standby operation resource data corresponding to the to-be-operated sequence processes;
the preset operation resource data quantity is obtained by multiplying the preset proportion and the addition result in a subtracting way.
4. The access device resource allocation method according to claim 1, wherein the creating process of the namespace based on the device ID of the access device in the cloud computing server includes:
and calling a function () function in a JavaScript framework based on the device ID of the access device in the cloud computing server to perform the creation processing of the name space.
5. The access device resource allocation method according to claim 1, wherein the cloud computing server performs allocation processing of fixed operation resource data and standby operation resource data in the namespace based on the fixed operation resource data and the standby operation resource data required for the plurality of to-be-operated procedure processes, and the method comprises:
obtaining residual computing resource data in each computing node and shared computing resource data in the cloud computing server;
The cloud computing server utilizes the residual computing resource data to perform fixed operation resource data allocation processing in the naming space based on the fixed operation resource data required by the processes of the plurality of to-be-operated sequences, wherein the fixed operation resource data is resource data only used in the naming space;
and the cloud computing server utilizes the shared computing resource data to allocate standby operating resource data in the name space based on the standby operating resource data required by the processes of the plurality of to-be-operated sequences, wherein the standby operating resource data is operating resource data which is called at any time in the name space, the shared computing resource data is standby operating resource data which is repeatedly allocated to different name spaces, and the shared computing resource data and the residual computing resource data are resource data which are not overlapped in the cloud computing server.
6. The method for allocating resources of an access device according to claim 1, wherein said controlling the number of processes to be run to perform a process running process in the namespace using the allocated fixed running resource data and the allocated standby running resource data comprises:
And acquiring the plurality of to-be-operated schedule processes in the cloud computing server, and controlling the plurality of to-be-operated schedule processes to call the allocated fixed operation resource data and the allocated standby operation resource data in the name space based on the currently required operation resource data of the plurality of to-be-operated schedule processes to perform process operation processing.
7. An access device resource allocation apparatus based on cloud computing, the apparatus comprising:
and a receiving module: the method comprises the steps that network connection is established between a cloud computing server and access equipment, and an operation resource allocation request of the access equipment is received, wherein the operation resource allocation request comprises a plurality of to-be-operated schedule processes which are required to be operated on the cloud computing server by the access equipment;
and an analysis module: the cloud computing server is used for analyzing and processing the operation resource requirements of a plurality of to-be-operated sequence processes in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated sequence processes;
the construction module comprises: the method comprises the steps of performing creation processing of a name space in the cloud computing server based on the device ID of the access device, and obtaining the name space of the access device in the cloud computing server;
The distribution module: the cloud computing server is used for carrying out fixed operation resource data and standby operation resource data allocation processing in the naming space based on the fixed operation resource data and the standby operation resource data which are needed by the processes of the plurality of to-be-operated sequences, so as to obtain allocation fixed operation resource data and allocation standby operation resource data in the naming space;
and an operation control module: the system comprises a plurality of access devices, a plurality of program running devices and a plurality of program running devices, wherein the access devices are used for accessing the program running devices, and the program running devices are used for storing the program running devices;
the cloud computing server performs operation resource demand analysis processing on a plurality of to-be-operated process in the operation resource allocation request to obtain fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated process, and the cloud computing server comprises:
the cloud computing server obtains historical demand operation resource data required by each to-be-operated process in the plurality of to-be-operated process in a period of time;
Analyzing and processing the historical demand operation resource data required by each of the plurality of to-be-operated schedule processes in a period of time to obtain historical demand steady operation resource data and historical demand peak operation resource data when each of the plurality of to-be-operated schedule processes runs steadily in a period of time;
and calculating and obtaining fixed operation resource data and standby operation resource data which are needed by the plurality of to-be-operated schedule processes according to the historical demand steady operation resource data and the historical demand peak operation resource data when each to-be-operated schedule process in the plurality of to-be-operated schedule processes runs steadily in a period of time.
8. A cloud computing server comprising a processor and a memory, wherein the processor runs a computer program or code stored in the memory to implement the access device resource allocation method of any one of claims 1 to 6.
9. A computer readable storage medium storing a computer program or code which, when executed by a processor, implements the access device resource allocation method of any one of claims 1 to 6.
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