CN117234712A - Computing power resource deployment method, computing power resource deployment device, computer equipment and storage medium - Google Patents
Computing power resource deployment method, computing power resource deployment device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a computing resource deployment method, a computing resource deployment device, computer equipment and a storage medium. The method comprises the following steps: determining regional computing force occupation data of the region to be deployed according to historical edge computing force use data of the region to be deployed; determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed; determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information; and carrying out computing power resource deployment on the area to be deployed according to the area computing power occupation data, the electric power allowance data and the area power supply quantity information. The method improves the rationality of the deployment of the computational resources, and simultaneously ensures that the computational resources of the area to be deployed can meet the computational requirements of the area to be deployed.
Description
Technical Field
The present application relates to the field of computing power deployment technologies, and in particular, to a computing power resource deployment method, device, computer equipment, and storage medium.
Background
With the development of new generation information communication technologies such as big data and cloud computing, various telecom operators and internet enterprises urgently need a large amount of user side data center resources, so that computing power resources are required to be deployed in different areas, and meanwhile, the deployment of the computing power resources depends on the supply of power resources, the distributed production and consumption of the power resources, the long-distance large-scale transportation and other functional forms need to meet the requirements of the computing power resources of the synchronous loading areas.
The existing calculation power deployment mode is mainly used for deployment according to the user scale of different areas or calculation power demands sent by staff. However, as the speed increase of the demand of the computing power deployment service increases sharply, the factors limiting the computing power increase more and more, so that the computing power resources deployed for the area to be deployed according to the existing computing power deployment mode cannot meet the reasonable distribution of the computing power resources. Therefore, how to deploy the computing power resources for the area to be deployed according to the power condition of the area to be deployed, so that the rationality of computing power resource deployment is improved, and meanwhile, the computing power resources of the area to be deployed are ensured to meet the computing power requirement of the area to be deployed, so that the problem to be solved is solved.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a computing power resource deployment method, device, computer equipment and storage medium capable of deploying computing power resources for a to-be-deployed area according to the power condition of the to-be-deployed area, so as to ensure that the computing power resources of the to-be-deployed area meet the computing power requirements of the to-be-deployed area.
In a first aspect, the present application provides a method for computing resource deployment, the method comprising:
determining regional computing force occupation data of the region to be deployed according to historical edge computing force use data of the region to be deployed;
determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed;
determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information;
and carrying out computing power resource deployment on the area to be deployed according to the area computing power occupation data, the electric power allowance data and the area power supply quantity information.
In one embodiment, the computing power resource deployment for the to-be-deployed area according to the regional computing power occupation data, the power margin data and the regional power supply amount information includes:
determining regional calculation force state data of the region to be deployed according to the regional calculation force occupation data and the adjacent calculation force occupation data of the adjacent region of the region to be deployed;
determining a computing power resource deployment strategy of the area to be deployed according to the area computing power state data, the power margin data and the area power supply quantity information;
And carrying out computing power resource deployment on the area to be deployed based on the computing power resource deployment strategy.
In one embodiment, determining the computing power resource deployment policy of the area to be deployed according to the area computing power state data, the power margin data and the area power supply amount information includes:
determining whether to deploy the computing power resources of the area to be deployed according to the comparison result of the area computing power state data and the computing power state threshold value;
if yes, determining regional calculation force deployment data of the region to be deployed according to the regional calculation force state data, the electric power allowance data and the regional power supply quantity information;
and determining the computing power resource deployment strategy of the area to be deployed according to the area computing power deployment data.
In one embodiment, determining the regional power calculation deployment data of the region to be deployed according to the regional power calculation state data, the power margin data and the regional power supply amount information includes:
determining the regional equipment power supply quantity of the region to be deployed according to the historical power supply data;
determining electric power calculation force conversion data of the area to be deployed according to the electric power allowance data, the area equipment power supply amount and the area power supply amount information;
And determining regional computing force deployment data of the region to be deployed according to the regional computing force state data and the electric computing force conversion data.
In one embodiment, determining the computing power resource deployment policy of the area to be deployed according to the area computing power deployment data includes:
determining whether the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed according to the regional computational power deployment data;
if yes, determining that the computing power resource deployment strategy of the area to be deployed is to increase the area computing power resource of the area to be deployed;
if not, determining that the computing power resource deployment strategy of the area to be deployed is the computing power resource deployment condition of the area to be deployed, and carrying out computing power resource scheduling on the area to be deployed.
In one embodiment, determining, according to the regional power deployment data, whether the regional power of the area to be deployed meets the power deployment requirement of the area to be deployed includes:
determining whether the regional computing force deployment data is less than a regional computing force threshold;
if yes, determining that the regional power of the region to be deployed does not meet the computational power deployment requirement of the region to be deployed;
If not, determining that the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed.
In one embodiment, determining the regional computing force occupation data of the region to be deployed according to the historical edge computing force use data of the region to be deployed includes:
according to historical edge computing force use data of an area to be deployed, determining computing force use proportion of the area to be deployed, and determining computing force use grade of the area to be deployed according to the computing force use proportion;
and determining a weighting coefficient according to the computing force use level, and determining regional computing force occupation data of the region to be deployed according to the computing force use proportion and the weighting coefficient.
In a second aspect, the present application also provides a computing resource deployment apparatus, the apparatus comprising:
the computing force occupation data determining module is used for determining regional computing force occupation data of the region to be deployed according to historical edge computing force use data of the region to be deployed;
the user load information determining module is used for determining regional power supply amount information and regional user load information of the to-be-deployed region in a historical time period according to the historical power supply data of the to-be-deployed region;
The power margin data determining module is used for determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information;
and the computing power resource deployment module is used for deploying computing power resources in the area to be deployed according to the area computing power occupation data, the power allowance data and the area power supply quantity information.
In a third aspect, the present application also provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
determining regional computing force occupation data of the region to be deployed according to historical edge computing force use data of the region to be deployed;
determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed;
determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information;
and carrying out computing power resource deployment on the area to be deployed according to the area computing power occupation data, the electric power allowance data and the area power supply quantity information.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
determining regional computing force occupation data of the region to be deployed according to historical edge computing force use data of the region to be deployed;
determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed;
determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information;
and carrying out computing power resource deployment on the area to be deployed according to the area computing power occupation data, the electric power allowance data and the area power supply quantity information.
According to the computing power resource deployment method, the computing power resource deployment device, the computer equipment and the storage medium, the regional computing power occupation data, the regional power supply quantity information and the regional user load information of the region to be deployed are determined according to the historical edge computing power use data and the historical power supply data of the region to be deployed; determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information; and carrying out computing power resource deployment on the area to be deployed according to the power allowance data, the area computing power occupation data and the area power supply quantity information. The method and the device solve the problems that the computing power resource deployment is carried out on the area to be deployed according to the user scale of the area to be deployed or the computing power demand sent by staff, the reasonable distribution of the computing power resource cannot be met, and the computing power resource distribution flexibility is poor. According to the method, when the computing resources are deployed for the area to be deployed, the use condition of the historical computing resources and the comprehensive judgment of the power use state of the area are combined, the computing resource deployment condition of the area to be deployed and the area power supply condition are fully considered, the rationality of computing resource deployment is improved, the computing resources of the area to be deployed meet the computing resource requirements of the area to be deployed, meanwhile, the waste of the computing resources is reduced, the power condition of the area to be deployed is met, and the labor cost for deploying the computing resources for the area to be deployed is saved.
Drawings
FIG. 1 is an application environment diagram of a computing resource deployment method in one embodiment;
FIG. 2 is a flow diagram of a method for computing resource deployment in one embodiment;
FIG. 3 is a flow chart of a method for computing resource deployment in another embodiment;
FIG. 4 is a flow chart of a method for computing resource deployment in another embodiment;
FIG. 5 is a flow chart of a method for computing resource deployment in another embodiment;
FIG. 6 is a flow chart of a method for computing resource deployment in another embodiment;
FIG. 7 is a flow chart of a method for computing resource deployment in another embodiment;
FIG. 8 is a block diagram of an architecture of a computing resource deployment apparatus in one embodiment;
fig. 9 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The computing power resource deployment method provided by the embodiment of the application can be applied to an application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 determines regional computing force occupation data of the region to be deployed according to the historical edge computing force use data of the region to be deployed; determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed; determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information; determining an algorithm resource deployment strategy of the area to be deployed according to the area algorithm occupation data, the power allowance data and the area power supply quantity information, and sending the algorithm resource deployment strategy to the terminal 102 through a communication network; the terminal 102 performs computing power deployment on the area to be deployed based on the computing power resource deployment policy. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a computing resource deployment method is provided, where the method is applied to a terminal to illustrate the method, and it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server.
In this embodiment, the method includes the steps of:
s210, determining regional computing force occupation data of the region to be deployed according to the historical edge computing force use data of the region to be deployed.
The computing power is the capability of computer equipment or a computing data center to process information, is the capability of computer hardware and software to cooperate to execute certain computing demands, and the edge computing power is a computing mode in terminal equipment, a gateway, a router or a switch and the like which can speak the computing capability and store resources to sink to the network edge from the central data center. The area to be deployed refers to an area where computational resource deployment is required. The regional calculation force occupation data refers to historical calculation force occupation values of the region to be deployed.
Specifically, historical edge computing force use data of the area to be deployed are read, and the change condition of computing force use ratio of the area to be deployed in a historical time period is determined according to the historical edge computing force use data of the area to be deployed. And determining regional calculation force occupation data of the region to be deployed according to the change condition of the calculation force use ratio of the region to be deployed in the historical time period.
S220, determining regional power supply amount information and regional user load information of the to-be-deployed region in a historical time period according to the historical power supply data of the to-be-deployed region.
Wherein, the historical power supply data refers to characterizing the power supply state of the area to be deployed in a historical period of time. The area power supply amount information refers to a power supply amount change condition of the area to be deployed in the history period, for example, the area power supply amount information may be a power supply amount change curve of the area to be deployed in the history period. The regional user load information refers to change information of electric power taken by electric power consumers in the region to be deployed to the electric power system in a historical period of time, for example, the regional user load information may refer to a change curve of electric power taken by electric power consumers in the region to be deployed to the electric power system in the historical period of time.
Specifically, historical power supply data of the area to be deployed in a historical time period is obtained, and the power supply quantity change condition of the area to be deployed in the historical time period is determined according to the historical power supply data, so that area power supply quantity information of the area to be deployed in the historical time period is determined according to the power supply quantity change condition. Meanwhile, the electric power taken by electric equipment of electric energy users of the area to be deployed to the electric power system in the historical time period is determined according to the historical electric power supply data, so that the area user load information of the area to be deployed in the historical time period is determined.
S230, determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information.
The power margin data refers to remaining power data of the area to be deployed after the power requirement of the power consumer is met.
Specifically, according to the regional power supply amount information of the region to be deployed and the regional user load information of the region to be deployed, determining residual electric quantity data of power supply equipment of the region to be deployed after meeting the power consumption requirements of electric energy users of the region to be deployed, and taking the residual electric quantity data as the electric power allowance data of the region to be deployed.
The calculation formula of the power headroom data of the area to be deployed is shown in formula (1):
wherein A is the power margin data of the area to be deployed; s is S E (t) area power supply amount information of an area to be deployed; l (L) E (t) regional user load information of a region to be deployed; and E is a correction coefficient.
And S240, performing computing power resource deployment on the area to be deployed according to the area computing power occupation data, the power allowance data and the area power supply quantity information.
Specifically, whether the computing power resource deployment is required to be performed on the area to be deployed is determined according to the area computing power occupation data, and if yes, the computing power resource deployment is performed on the area to be deployed according to the power allowance data and the area power supply quantity information.
In the computing power resource deployment method, the regional computing power occupation data, the regional power supply amount information and the regional user load information of the region to be deployed are determined according to the historical edge computing power use data and the historical power supply data of the region to be deployed; determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information; and carrying out computing power resource deployment on the area to be deployed according to the power allowance data, the area computing power occupation data and the area power supply quantity information. The method and the device solve the problems that the computing power resource deployment is carried out on the area to be deployed according to the user scale of the area to be deployed or the computing power demand sent by staff, the reasonable distribution of the computing power resource cannot be met, and the computing power resource distribution flexibility is poor. According to the method, when the computing resources are deployed for the area to be deployed, the use condition of the historical computing resources and the comprehensive judgment of the power use state of the area are combined, the computing resource deployment condition of the area to be deployed and the area power supply condition are fully considered, the rationality of computing resource deployment is improved, the computing resources of the area to be deployed meet the computing resource requirements of the area to be deployed, meanwhile, the waste of the computing resources is reduced, the power condition of the area to be deployed is met, and the labor cost for deploying the computing resources for the area to be deployed is saved.
In one embodiment, as shown in fig. 3, performing computing power resource deployment on a region to be deployed according to region computing power occupation data, power margin data and region power supply amount information, including:
s310, determining regional calculation force state data of the region to be deployed according to the regional calculation force occupation data and the adjacent calculation force occupation data of the adjacent region of the region to be deployed.
The adjacent calculation force occupation data refer to calculation force occupation values of adjacent areas of the area to be deployed in a historical time period. Regional computational power state data refers to data that can characterize the computational power resource occupancy of the region to be deployed.
Specifically, adjacent computing force occupation data of adjacent areas of the area to be deployed are determined according to historical edge computing force use data of the adjacent areas of the area to be deployed, maximum computing force occupation data of the area to be deployed is determined according to the area computing force occupation data, and area computing force state data of the area to be deployed is determined according to the area computing force occupation data, the adjacent computing force occupation data and the maximum computing force occupation data of the area to be deployed.
The calculation formula of the regional calculation force state data is shown in formula (2):
V＝Cal(O pf -(O p +∑O pj *X j )) (2)
wherein V refers to regional calculation force state data; o (O) pf Maximum calculated force occupation data of an area to be deployed; o (O) p The regional calculation force occupation data of the region to be deployed are referred to; o (O) pj Adjacent calculation force occupation data of a j-th adjacent area of the area to be deployed are referred; x is X j The calling coefficient between the region to be deployed and the jth adjacent region; cal is a calculated force occupancy value comparison function.
S320, determining a computing power resource deployment strategy of the area to be deployed according to the area computing power state data, the power allowance data and the area power supply quantity information.
The computing resource deployment strategy refers to a deployment scheme when computing resource deployment is carried out on an area to be deployed.
Specifically, whether the area to be deployed needs to be subjected to computational power deployment or not is determined according to the regional computational power occupation data, if so, a computational power resource deployment strategy of the area to be deployed is determined from candidate computational power deployment strategies according to the power margin data and the regional power supply quantity information, and computational power resource deployment is performed on the area to be deployed based on the computational power resource deployment strategy. Candidate computing power deployment strategies include increasing regional computing power resources of the region to be deployed and invoking computing power resources of other regions.
S330, performing computing power resource deployment on the area to be deployed based on the computing power resource deployment strategy.
In this embodiment, the regional power calculation state data is determined according to the power calculation state data of the region, the power margin data and the region power supply amount information by using the power calculation resource occupation condition of the region to be deployed and the power calculation resource occupation condition of the adjacent region of the region to be deployed, so that the power calculation resource deployment strategy of the region to be deployed is determined, the power calculation requirement of the region to be deployed can be adaptively satisfied based on the power calculation use condition of the adjacent region, and the reliability of the power calculation resource deployment strategy of the region to be deployed is improved.
In one embodiment, as shown in fig. 4, determining a computing power resource deployment policy of the area to be deployed according to the area computing power state data, the power margin data and the area power supply amount information includes:
s410, determining whether to deploy the computing power resources of the area to be deployed according to the comparison result of the area computing power state data and the computing power state threshold value.
The power calculation state threshold value can be set according to actual needs.
Specifically, if the regional power calculation state data of the to-be-deployed region is smaller than the power calculation state threshold, the regional power calculation deployment condition of the to-be-deployed region does not meet the power calculation resource requirement of the to-be-deployed region, and the power calculation resource of the to-be-deployed region is required to be deployed; if the regional power calculation state data of the region to be deployed is larger than or equal to the power calculation state threshold value, the regional power calculation deployment condition of the region to be deployed meets the power calculation resource requirement of the region to be deployed, and the power calculation resource of the region to be deployed is not required to be deployed.
And S420, if so, determining regional power calculation deployment data of the region to be deployed according to the regional power calculation state data, the power allowance data and the regional power supply quantity information.
The regional computing power deployment data refers to data representing the condition of power resources of a region to be deployed, which can be used for computing power deployment.
Specifically, if the computing power resources of the area to be deployed are required to be deployed, determining area computing power deployment data of the area to be deployed according to the area computing power state data, the power allowance data and the area power supply quantity information.
S430, determining a computing power resource deployment strategy of the area to be deployed according to the area computing power deployment data.
Specifically, determining whether the electric power resources of the area to be deployed can support the current computing power resources of the area to be deployed in the area to be deployed according to the area computing power deployment data, and if so, determining that the computing power resource deployment strategy of the area to be deployed is to increase the computing power resources of the area to be deployed; if not, determining that the computational power resource deployment strategy of the region to be deployed is to call computational power resources of other regions to provide data services for the region to be deployed.
According to the scheme, the computing power resource deployment efficiency of the area to be deployed is improved, meanwhile, when the computing power resource deployment is carried out on the area to be deployed, the influence of the regional computing power state data, the electric power allowance data and the regional power supply quantity information on the computing power resource deployment strategy of the area to be deployed is comprehensively considered, the computing power requirement is met, and meanwhile, the waste of computing power resources is reduced.
In one embodiment, as shown in fig. 5, determining the regional power deployment data of the region to be deployed according to the regional power state data, the power margin data and the regional power supply amount information includes:
s510, determining the regional equipment power supply quantity of the region to be deployed according to the historical power supply data.
The regional equipment power supply quantity refers to the quantity of electricity provided for power users by a region to be deployed, and the quantity of electricity loss in the power transmission, transformation and distribution process is included. The regional equipment power supply amount of the region to be deployed can be extracted from the regional power supply amount information.
And S520, determining electric calculation force conversion data of the area to be deployed according to the electric allowance data, the area equipment power supply amount and the area power supply amount information.
Specifically, a calculation formula of the electric calculation force conversion data of the area to be deployed is shown as a formula (3):
N＝Pow((S F (t)-S E (t))-τ*A) (3)
wherein N is electric power calculation power conversion data of the area to be deployed, and Pow is an electric power calculation power conversion function; τ is an error correction coefficient; a is power allowance data; s is S F (t) supplying power to the regional equipment; s is S E And (t) is regional power supply amount information.
S530, determining regional computing force deployment data of the region to be deployed according to the regional computing force state data and the electric computing force conversion data.
Specifically, the regional power calculation deployment data of the region to be deployed is determined according to the difference between the regional power calculation state data and the electric power calculation conversion data.
The calculation formula of the regional calculation force deployment data is shown in the formula (4):
Y＝V-N (4)
according to the scheme, the method for determining the regional computing force deployment data of the region to be deployed can improve the computing efficiency and accuracy of the regional computing force deployment data.
In one embodiment, as shown in fig. 6, determining a computing force resource deployment policy for an area to be deployed from area computing force deployment data includes:
s610, determining whether the regional power of the region to be deployed meets the computing power deployment requirement of the region to be deployed according to the regional computing power deployment data.
Where regional power refers to the power condition of the region to be deployed.
Specifically, whether the regional power of the region to be deployed can support the region to be deployed for computing power resource deployment is determined according to regional computing power deployment data, if so, the power condition of the region to be deployed is determined to meet the computing power deployment requirement of the region to be deployed; if not, determining that the power condition of the area to be deployed does not meet the computational power deployment requirement of the area to be deployed.
For example, the method for determining whether the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed may be: determining whether the regional computing force deployment data is less than a regional computing force threshold; if yes, determining that the regional power of the region to be deployed does not meet the computational power deployment requirement of the region to be deployed; if not, determining that the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed.
The regional calculation force threshold can be set according to actual needs.
According to the comparison result of the regional calculation force deployment data and the regional calculation force threshold value, whether the regional power of the region to be deployed meets the calculation force deployment requirement of the region to be deployed or not is determined, and the determination efficiency of whether the region to be deployed can be subjected to calculation force resource deployment or not can be improved.
And S620, if so, determining that the computing power resource deployment strategy of the area to be deployed is to increase the area computing power resource of the area to be deployed.
Specifically, if the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed, determining that the power condition of the region to be deployed can support a deployment strategy for increasing computational power resources of the region to be deployed, so that the computational power resource deployment strategy of the region to be deployed can be determined to be the regional computational power resources of the region to be deployed.
And S630, if not, determining that the computational power resource deployment strategy of the area to be deployed is to maintain the computational power resource deployment condition of the area to be deployed, and scheduling the computational power resources of the area to be deployed.
Specifically, if the regional power of the to-be-deployed region does not meet the power deployment requirement of the to-be-deployed region, determining that the power condition of the to-be-deployed region cannot support the deployment strategy for increasing the power resources of the to-be-deployed region, and at this time, scheduling the power resources of other regions to provide data services for the to-be-deployed region is required, so that the power resource deployment strategy of the to-be-deployed region can be determined to maintain the power resource deployment condition of the to-be-deployed region, and performing power resource scheduling on the to-be-deployed region.
According to the scheme, the computing power resource deployment or the computing power resource scheduling can be more accurately carried out on the area to be deployed, the computing power use condition of the area to be deployed is adaptively met, and further the reasonable deployment of the computing power resource is realized while the computing power requirement of the area to be deployed is met.
In one embodiment, as shown in fig. 7, determining the regional computing force occupation data of the region to be deployed according to the historical edge computing force usage data of the region to be deployed includes:
s710, determining the computing force use proportion of the area to be deployed according to the historical edge computing force use data of the area to be deployed, and determining the computing force use grade of the area to be deployed according to the computing force use proportion.
The computing power use proportion of the area to be deployed refers to the proportion of computing power resources used by the area to be deployed to computing power resources used by all areas.
Specifically, according to historical edge computing force use data of the area to be deployed, determining computing force use proportion of the area to be deployed. And determining the computing force use grade of the area to be deployed according to the computing force use proportion of the area to be deployed and the mapping relation between the computing force use proportion and the computing force use grade.
S720, determining a weighting coefficient according to the computing force use level, and determining regional computing force occupation data of the region to be deployed according to the computing force use proportion and the weighting coefficient.
Specifically, a corresponding relation between the candidate level and the candidate coefficient is preset, a weighting coefficient corresponding to the calculation force use level is determined from the candidate coefficient according to the corresponding relation between the candidate level and the candidate coefficient, and the regional calculation force occupation data of the region to be deployed is determined according to the calculation force use proportion and the weighting coefficient.
The calculation formula of the regional calculation force occupation data is shown in the formula (5):
wherein O is p Calculating force occupation data for the area of the area to be deployed; c (C) p (t) is the calculated force usage scale of the area to be deployed; l (L) i And using a weighting coefficient corresponding to the grade for calculating the power of the area to be deployed.
According to the scheme, the method for determining the regional calculation force occupation data of the region to be deployed is provided, and the calculation efficiency and accuracy of the regional calculation force occupation data can be improved.
Illustratively, on the basis of the above embodiment, the computing power resource deployment method includes:
and reading historical edge computing force use data of the area to be deployed, and determining computing force use proportion of the area to be deployed according to the historical edge computing force use data of the area to be deployed. Determining the computing force use grade of the area to be deployed according to the computing force use proportion of the area to be deployed and the mapping relation between the computing force use proportion and the computing force use grade, determining the weighting coefficient corresponding to the computing force use grade, and determining the area computing force occupation data of the area to be deployed according to the computing force use proportion and the weighting coefficient.
And determining the regional power supply amount information and the regional user load information of the region to be deployed in the historical time period according to the historical power supply data of the region to be deployed. According to the regional power supply amount information of the region to be deployed and the regional user load information of the region to be deployed, determining residual electric quantity data of power supply equipment of the region to be deployed after meeting the power consumption requirements of electric energy users of the region to be deployed, and taking the residual electric quantity data as the electric power allowance data of the region to be deployed.
According to historical edge computing force using data of adjacent areas of the area to be deployed, adjacent computing force occupying data of the adjacent areas of the area to be deployed is determined, maximum computing force occupying data of the area to be deployed is determined according to the area computing force occupying data, and area computing force state data of the area to be deployed is determined according to the area computing force occupying data, the adjacent computing force occupying data and the maximum computing force occupying data of the area to be deployed.
If the regional power calculation state data of the region to be deployed is smaller than the power calculation state threshold value, the power calculation resources of the region to be deployed are required to be deployed; if the regional power calculation state data of the region to be deployed is greater than or equal to the power calculation state threshold value, the power calculation resources of the region to be deployed are not required to be deployed.
If the power calculation resources of the area to be deployed are required to be deployed, determining the area equipment power supply quantity of the area to be deployed according to the historical power supply data, determining the power calculation conversion data of the area to be deployed according to the power allowance data, the area equipment power supply quantity and the area power supply quantity information, and determining the area calculation deployment data of the area to be deployed according to the difference between the area calculation state data and the power calculation conversion data.
Determining whether the regional computing force deployment data is less than a regional computing force threshold; if yes, determining that the regional power of the region to be deployed does not meet the computational power deployment requirement of the region to be deployed; if not, determining that the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed. If the regional power of the region to be deployed does not meet the computational power deployment requirement of the region to be deployed, determining that the computational power resource deployment strategy of the region to be deployed is to increase the regional computational power resources of the region to be deployed; if the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed, determining that the computational power resource deployment strategy of the region to be deployed is to keep the computational power resource deployment condition of the region to be deployed, performing computational power resource scheduling on the region to be deployed, and performing computational power resource deployment on the region to be deployed based on the computational power resource deployment strategy.
In the computing power resource deployment method, the regional computing power occupation data, the regional power supply amount information and the regional user load information of the region to be deployed are determined according to the historical edge computing power use data and the historical power supply data of the region to be deployed; determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information; and carrying out computing power resource deployment on the area to be deployed according to the power allowance data, the area computing power occupation data and the area power supply quantity information. The method and the device solve the problems that the computing power resource deployment is carried out on the area to be deployed according to the user scale of the area to be deployed or the computing power demand sent by staff, the reasonable distribution of the computing power resource cannot be met, and the computing power resource distribution flexibility is poor. According to the method, when the computing resources are deployed for the area to be deployed, the use condition of the historical computing resources and the comprehensive judgment of the power use state of the area are combined, the computing resource deployment condition of the area to be deployed and the area power supply condition are fully considered, the rationality of computing resource deployment is improved, the computing resources of the area to be deployed meet the computing resource requirements of the area to be deployed, meanwhile, the waste of the computing resources is reduced, the power condition of the area to be deployed is met, and the labor cost for deploying the computing resources for the area to be deployed is saved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a computing power resource deployment device for realizing the above related computing power resource deployment method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the device for disposing computing resources provided below may be referred to the limitation of the method for disposing computing resources hereinabove, and will not be described herein.
In one embodiment, as shown in fig. 8, there is provided a computing power resource deployment apparatus comprising: a computing power occupation data determining module 801, a user load information determining module 802, a power headroom data determining module 803, and a computing power resource deploying module 804, wherein:
the computing force occupation data determining module 801 is configured to determine regional computing force occupation data of the region to be deployed according to historical edge computing force usage data of the region to be deployed;
a user load information determining module 802, configured to determine, according to historical power supply data of the area to be deployed, area power supply amount information and area user load information of the area to be deployed in a historical period;
the power margin data determining module 803 is configured to determine power margin data of a region to be deployed according to the region power supply amount information and the region user load information;
the computing power resource deployment module 804 is configured to perform computing power resource deployment on the area to be deployed according to the area computing power occupation data, the power allowance data and the area power supply amount information.
According to the computing power resource deployment device, the regional computing power occupation data, the regional power supply amount information and the regional user load information of the region to be deployed are determined according to the historical edge computing power use data and the historical power supply data of the region to be deployed; determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information; and carrying out computing power resource deployment on the area to be deployed according to the power allowance data, the area computing power occupation data and the area power supply quantity information. The method and the device solve the problems that the computing power resource deployment is carried out on the area to be deployed according to the user scale of the area to be deployed or the computing power demand sent by staff, the reasonable distribution of the computing power resource cannot be met, and the computing power resource distribution flexibility is poor. According to the method, when the computing resources are deployed for the area to be deployed, the use condition of the historical computing resources and the comprehensive judgment of the power use state of the area are combined, the computing resource deployment condition of the area to be deployed and the area power supply condition are fully considered, the rationality of computing resource deployment is improved, the computing resources of the area to be deployed meet the computing resource requirements of the area to be deployed, meanwhile, the waste of the computing resources is reduced, the power condition of the area to be deployed is met, and the labor cost for deploying the computing resources for the area to be deployed is saved.
Illustratively, the computing resource deployment module 804 is specifically configured to:
determining regional calculation force state data of the region to be deployed according to the regional calculation force occupation data and the adjacent calculation force occupation data of the adjacent region of the region to be deployed;
determining a computing power resource deployment strategy of the area to be deployed according to the area computing power state data, the power allowance data and the area power supply quantity information;
and carrying out computing resource deployment on the area to be deployed based on the computing resource deployment strategy.
Further, the computing power resource deployment module 804 is further specifically configured to:
determining whether to deploy computing power resources of the area to be deployed according to the comparison result of the area computing power state data and the computing power state threshold value;
if yes, determining regional calculation power deployment data of the region to be deployed according to the regional calculation power state data, the electric power allowance data and the regional power supply quantity information;
and determining a computing power resource deployment strategy of the area to be deployed according to the area computing power deployment data.
Further, the computing power resource deployment module 804 is further specifically configured to:
determining the regional equipment power supply quantity of the region to be deployed according to the historical power supply data;
determining electric power calculation power conversion data of the area to be deployed according to the electric power allowance data, the area equipment power supply amount and the area power supply amount information;
And determining regional computing force deployment data of the region to be deployed according to the regional computing force state data and the electric computing force conversion data.
Further, the computing power resource deployment module 804 is further specifically configured to:
determining whether the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed according to the regional computational power deployment data;
if yes, determining that the computing power resource deployment strategy of the area to be deployed is to increase the area computing power resource of the area to be deployed;
if not, determining that the computational power resource deployment strategy of the area to be deployed is to maintain the computational power resource deployment condition of the area to be deployed, and scheduling the computational power resources of the area to be deployed.
Further, the computing power resource deployment module 804 is further specifically configured to:
determining whether the regional computing force deployment data is less than a regional computing force threshold;
if yes, determining that the regional power of the region to be deployed does not meet the computational power deployment requirement of the region to be deployed;
if not, determining that the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed.
Illustratively, the computing power occupancy data determination module 801 is specifically configured to:
according to historical edge calculation force use data of the area to be deployed, determining calculation force use proportion of the area to be deployed, and determining calculation force use grade of the area to be deployed according to the calculation force use proportion;
And determining a weighting coefficient according to the computing force use level, and determining regional computing force occupation data of the region to be deployed according to the computing force use proportion and the weighting coefficient.
The various modules in the computing power resource deployment device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 9. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by a processor implements a method of computing resource deployment. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 9 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
step one, determining regional computing force occupation data of a region to be deployed according to historical edge computing force use data of the region to be deployed;
step two, determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed;
step three, determining power margin data of the area to be deployed according to the area power supply quantity information and the area user load information;
and step four, performing computing power resource deployment on the area to be deployed according to the area computing power occupation data, the power allowance data and the area power supply quantity information.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
step one, determining regional computing force occupation data of a region to be deployed according to historical edge computing force use data of the region to be deployed;
step two, determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed;
step three, determining power margin data of the area to be deployed according to the area power supply quantity information and the area user load information;
and step four, performing computing power resource deployment on the area to be deployed according to the area computing power occupation data, the power allowance data and the area power supply quantity information.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
step one, determining regional computing force occupation data of a region to be deployed according to historical edge computing force use data of the region to be deployed;
step two, determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed;
Step three, determining power margin data of the area to be deployed according to the area power supply quantity information and the area user load information;
and step four, performing computing power resource deployment on the area to be deployed according to the area computing power occupation data, the power allowance data and the area power supply quantity information.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A computing power resource deployment method, comprising:
determining regional computing force occupation data of the region to be deployed according to historical edge computing force use data of the region to be deployed;
determining regional power supply amount information and regional user load information of the region to be deployed in a historical time period according to the historical power supply data of the region to be deployed;
determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information;
And carrying out computing power resource deployment on the area to be deployed according to the area computing power occupation data, the electric power allowance data and the area power supply quantity information.
2. The method of claim 1, wherein computing power resource deployment for the area to be deployed based on the area computing power usage data, the power headroom data, and the area power supply amount information comprises:
determining regional calculation force state data of the region to be deployed according to the regional calculation force occupation data and the adjacent calculation force occupation data of the adjacent region of the region to be deployed;
determining a computing power resource deployment strategy of the area to be deployed according to the area computing power state data, the power margin data and the area power supply quantity information;
and carrying out computing power resource deployment on the area to be deployed based on the computing power resource deployment strategy.
3. The method of claim 2, wherein determining a computing power resource deployment policy for the area to be deployed based on the area computing power status data, the power headroom data, and the area power supply amount information comprises:
determining whether to deploy the computing power resources of the area to be deployed according to the comparison result of the area computing power state data and the computing power state threshold value;
If yes, determining regional calculation force deployment data of the region to be deployed according to the regional calculation force state data, the electric power allowance data and the regional power supply quantity information;
and determining the computing power resource deployment strategy of the area to be deployed according to the area computing power deployment data.
4. The method of claim 3, wherein determining regional power deployment data for the region to be deployed based on the regional power state data, the power headroom data, and the regional power supply amount information comprises:
determining the regional equipment power supply quantity of the region to be deployed according to the historical power supply data;
determining electric power calculation force conversion data of the area to be deployed according to the electric power allowance data, the area equipment power supply amount and the area power supply amount information;
and determining regional computing force deployment data of the region to be deployed according to the regional computing force state data and the electric computing force conversion data.
5. The method of claim 3, wherein determining a computing force resource deployment policy for the area to be deployed from the area computing force deployment data comprises:
determining whether the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed according to the regional computational power deployment data;
If yes, determining that the computing power resource deployment strategy of the area to be deployed is to increase the area computing power resource of the area to be deployed;
if not, determining that the computing power resource deployment strategy of the area to be deployed is the computing power resource deployment condition of the area to be deployed, and carrying out computing power resource scheduling on the area to be deployed.
6. The method of claim 5, wherein determining from the regional power deployment data whether regional power of the region to be deployed meets power deployment requirements of the region to be deployed comprises:
determining whether the regional computing force deployment data is less than a regional computing force threshold;
if yes, determining that the regional power of the region to be deployed does not meet the computational power deployment requirement of the region to be deployed;
if not, determining that the regional power of the region to be deployed meets the computational power deployment requirement of the region to be deployed.
7. The method of claim 1, wherein determining regional computing force occupancy data for the region to be deployed based on historical edge computing force usage data for the region to be deployed comprises:
according to historical edge computing force use data of an area to be deployed, determining computing force use proportion of the area to be deployed, and determining computing force use grade of the area to be deployed according to the computing force use proportion;
And determining a weighting coefficient according to the computing force use level, and determining regional computing force occupation data of the region to be deployed according to the computing force use proportion and the weighting coefficient.
8. A computing power resource deployment apparatus, the computing power resource deployment apparatus comprising:
the computing force occupation data determining module is used for determining regional computing force occupation data of the region to be deployed according to historical edge computing force use data of the region to be deployed;
the user load information determining module is used for determining regional power supply amount information and regional user load information of the to-be-deployed region in a historical time period according to the historical power supply data of the to-be-deployed region;
the power margin data determining module is used for determining power margin data of the area to be deployed according to the area power supply amount information and the area user load information;
and the computing power resource deployment module is used for deploying computing power resources in the area to be deployed according to the area computing power occupation data, the power allowance data and the area power supply quantity information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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| CN117611425B (en) * | 2024-01-17 | 2024-06-11 | 之江实验室 | Method, apparatus, computer device and storage medium for configuring computing power of graphic processor |
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