CN115118594B - Resource allocation method, device, equipment and computer readable storage medium - Google Patents
Resource allocation method, device, equipment and computer readable storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/02—Standardisation; Integration
- H04L41/0246—Exchanging or transporting network management information using the Internet; Embedding network management web servers in network elements; Web-services-based protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
- H04L41/046—Network management architectures or arrangements comprising network management agents or mobile agents therefor
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The embodiment of the application provides a resource allocation method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring historical resource use information of public cloud and private cloud; determining historical change characteristics according to the change trend of the historical resource use information; determining a target hybrid cloud from the reference hybrid cloud according to the historical change characteristics and the change characteristics corresponding to the preset reference hybrid cloud; and allocating the resources on the public cloud and the private cloud according to the first resource allocation amount and the second resource allocation amount in the target mixed cloud. According to the embodiment of the application, the historical resource use information of the public cloud and the private cloud is obtained, the target mixed cloud with similar variation trend is screened out by utilizing the similarity of the variation characteristics, and the resources on the public cloud and the private cloud are distributed by the resource distribution amount in the target mixed cloud, so that the balance of the resource use on the public cloud and the private cloud can be dynamically maintained, and the performance of the system is ensured.
Description
Technical Field
The embodiment of the application relates to the technical field of hybrid clouds, in particular to a resource allocation method, a device, equipment and a computer readable storage medium.
Background
The hybrid cloud merges public cloud and private cloud, is a main mode and development direction of cloud computing in recent years, and is widely applied to various fields at present. Taking the financial field as an example, it is currently common to store some user privacy data in private cloud, and store data related to financial business in public cloud.
However, in the actual application process, it is found that the resource usage amount of each end in the hybrid cloud is continuously changed, so that the resource usage of the public cloud and the private cloud cannot reach balance, and the system performance of the hybrid cloud is affected.
Disclosure of Invention
The embodiment of the application provides a resource allocation method, a device, equipment and a computer readable storage medium, which aim to solve the technical problem that the system performance of a hybrid cloud is affected because the resource use of public cloud and private cloud cannot be balanced in the prior art.
In one aspect, an embodiment of the present application provides a resource allocation method applied to a hybrid cloud composed of public cloud and private cloud, where the method includes:
acquiring first historical resource use information of the public cloud and second historical resource use information of the private cloud;
Determining a first historical change characteristic according to the change trend of the first historical resource use information, and determining a second historical change characteristic according to the change trend of the second historical resource use information;
determining a target hybrid cloud from the reference hybrid cloud according to the first historical change characteristic, the second historical change characteristic and a change characteristic corresponding to a preset reference hybrid cloud;
and distributing the resources on the public cloud and the private cloud according to the first resource distribution amount and the second resource distribution amount in the target mixed cloud.
As an optional embodiment of the present application, the determining, according to the first historical change feature, the second historical change feature, and a change feature corresponding to a preset reference hybrid cloud, the target hybrid cloud from the reference hybrid cloud includes:
acquiring a first change feature and a second change feature in the change features corresponding to the reference hybrid cloud;
calculating the similarity of the first historical change feature and the first change feature to obtain a first similarity, and calculating the similarity of the second historical change feature and the second change feature to obtain a second similarity;
Determining the comprehensive similarity corresponding to the reference hybrid cloud according to the first similarity and the second similarity;
and determining a target hybrid cloud from the reference hybrid clouds according to the magnitude relation of the comprehensive similarity corresponding to each reference hybrid cloud.
As an optional embodiment of the present application, the allocating resources on the public cloud and the private cloud according to the first resource allocation amount and the second resource allocation amount in the target hybrid cloud includes:
acquiring a first real-time resource amount corresponding to the public cloud and a second real-time resource amount corresponding to the private cloud;
calculating the ratio of the first resource allocation amount to the first real-time resource amount in the target mixed cloud to obtain a first allocation ratio;
calculating the ratio of the second resource allocation amount to the second real-time resource amount in the target mixed cloud to obtain a second allocation ratio value;
and distributing the public cloud resources according to the first distribution ratio and distributing the private cloud resources according to the second distribution ratio.
As an optional embodiment of the present application, the allocating the public cloud resources according to the first allocation ratio, and allocating the private cloud resources according to the second allocation ratio includes:
Setting weights corresponding to the resources according to the resource types corresponding to the resources on the public cloud and the private cloud;
determining target public resources to be allocated from the resources on the public cloud according to the first allocation ratio and the weight corresponding to each resource;
determining target private resources to be allocated from the resources on the private cloud according to the second allocation ratio and the weight corresponding to each resource;
and transferring the target public resource and the target private resource to a preset mixed cloud.
As an optional embodiment of the present application, the determining a first historical change feature according to a change trend of the first historical resource usage information includes:
dividing the first historical resource use information according to a preset period to obtain a plurality of resource use subsequences;
determining the change sub-characteristics corresponding to the resource using sub-sequences according to the change trend of the resource using sub-sequences;
and fusing the change sub-features corresponding to the resource use sub-sequences to obtain a first historical change feature.
As an optional embodiment of the present application, the fusing the change sub-features corresponding to the resource usage sub-sequences to obtain the first historical change feature includes:
Respectively counting the resource use information corresponding to each period to obtain the total resource use amount corresponding to each period;
setting a weight corresponding to each period according to the total resource usage amount corresponding to each period;
and weighting the change sub-features corresponding to the resource use sub-sequences according to the weights corresponding to the periods to obtain first historical change features.
As an optional embodiment of the present application, before the obtaining the first historical resource usage information of the public cloud and the second historical resource usage information of the private cloud, the method further includes:
acquiring the total amount of resources on the public cloud and the private cloud;
and if the total resource amount exceeds a preset resource amount threshold, executing the step of acquiring the first historical resource use information of the public cloud and the second historical resource use information of the private cloud.
On the other hand, the embodiment of the application also provides a resource allocation device, which is arranged in a mixed cloud consisting of public cloud and private cloud, and comprises:
the acquisition module is used for acquiring the first historical resource use information of the public cloud and the second historical resource use information of the private cloud;
The extraction module is used for determining a first historical change characteristic according to the change trend of the first historical resource use information and determining a second historical change characteristic according to the change trend of the second historical resource use information;
the screening module is used for determining a target hybrid cloud from the reference hybrid cloud according to the first historical change characteristics, the second historical change characteristics and the change characteristics corresponding to the preset reference hybrid cloud;
and the allocation module is used for allocating the resources on the public cloud and the private cloud according to the first resource allocation amount and the second resource allocation amount in the target mixed cloud.
In another aspect, an embodiment of the present application further provides a resource allocation apparatus, where the resource allocation apparatus includes a processor, a memory, and a resource allocation program stored in the memory and capable of running on the processor, and the processor executes the resource allocation program to implement steps in the above-mentioned resource allocation method.
In another aspect, an embodiment of the present application further provides a computer readable storage medium, where a resource allocation program is stored, where the resource allocation program is executed by a processor to implement the steps in the above-mentioned resource allocation method.
According to the resource allocation method provided by the embodiment of the application, the historical resource use information of the public cloud and the private cloud in the mixed cloud is obtained, the change characteristics are extracted according to the change trend of the historical resource use information, the target mixed cloud with similar change trend is screened out with the change characteristics of other reference mixed clouds, and the resource allocation amount in the target mixed cloud is utilized to allocate the resources on the public cloud and the private cloud, so that the balance of the resource use on the public cloud and the private cloud can be dynamically maintained, and the performance of the system is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, 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 schematic diagram of an implementation scenario of a resource allocation method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of steps of a resource allocation method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a step of determining a target hybrid cloud according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating a step of allocating resources based on a resource allocation amount according to an embodiment of the present application;
FIG. 5 is a flowchart illustrating a process for allocating resources based on a resource allocation ratio according to an embodiment of the present application;
FIG. 6 is a flowchart illustrating steps for determining a change characteristic according to an embodiment of the present application;
FIG. 7 is a flowchart illustrating steps for fusing sub-features to obtain a variation feature according to an embodiment of the present application;
FIG. 8 is a flowchart illustrating steps for obtaining historical resource usage information according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a resource allocation device according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a resource allocation device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be encompassed by the present application.
In the embodiments of the present application, the term "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described as "exemplary" in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
The embodiment of the application provides a resource allocation method, a device, equipment and a computer readable storage medium, and the detailed description is given below.
In the embodiment of the application, the resource allocation method is deployed on the resource allocation device in the form of a program, the resource allocation device is installed in the resource allocation equipment in the form of a processor, and the resource allocation device in the resource allocation equipment executes the following steps by running the program corresponding to the resource allocation method: acquiring first historical resource use information of a public cloud and second historical resource use information of a private cloud; determining a first historical change characteristic according to the change trend of the first historical resource use information, and determining a second historical change characteristic according to the change trend of the second historical resource use information; determining a target hybrid cloud from the reference hybrid cloud according to the first historical change characteristic, the second historical change characteristic and a preset change characteristic corresponding to the reference hybrid cloud; and allocating the resources on the public cloud and the private cloud according to the first resource allocation amount and the second resource allocation amount in the target mixed cloud.
As shown in fig. 1, fig. 1 is a schematic view of an implementation scenario of a resource allocation method according to an embodiment of the present application, which may also be understood as a schematic view of a system architecture of a hybrid cloud. The implementation scenario provided by the embodiment of the application includes a resource allocation device 100, a public cloud 200 and a private cloud 300. The public cloud 200 and the private cloud 300 are built based on the existing hybrid cloud technology, and specifically include the following steps:
1. the private line of public cloud and private cloud is opened according to the label purchase, machine label and delivery in the row;
2. creating a release service agent in a cloud public area by means of a private line between the public cloud and the private cloud, and realizing application release to each area of the cloud through the agent;
3. and respectively adding security gateways on the public cloud and the private cloud to realize an authentication mechanism which is mutually called by the two parties.
After the hybrid cloud system is built, the resource allocation method provided by the application can additionally set the resource allocation device 100, and the resources on the public cloud and the private cloud are allocated by executing the computer storage medium corresponding to the resource allocation method.
It should be noted that, the schematic view of the resource allocation scenario shown in fig. 1 is only an example, and the resource allocation scenario described in the embodiment of the present application is for more clearly describing the technical solution of the embodiment of the present application, and does not constitute a limitation on the technical solution provided by the embodiment of the present application.
Based on the implementation scene diagram of the resource allocation, a specific embodiment of a resource allocation method is provided.
As shown in fig. 2, fig. 2 is a schematic step flow diagram of a resource allocation method according to an embodiment of the present application, where the resource allocation method in the embodiment of the present application includes steps 201 to 204:
and 201, acquiring first historical resource use information of the public cloud and second historical resource use information of the private cloud.
In the embodiment of the present application, the first historical resource usage information on the public cloud refers to the usage condition of the resources deployed thereon in the past preset period, and may be, for example, the total amount of resources used daily in the past year or the past six months, so the first historical resource usage information may be described by a series of sequences. Specifically, taking the financial field as an example, the resource usage information on the public cloud may include the usage situation of the related financial business service resource. Similarly, the second historical resource usage information of the private cloud is similar to the first historical resource usage information of the public cloud, and may be understood as the usage condition of the resources deployed on the private cloud in the past preset period, which is not described herein in detail.
202, determining a first historical change characteristic according to the change trend of the first historical resource usage information, and determining a second historical change characteristic according to the change trend of the second historical resource usage information.
In the embodiment of the present application, as known from the foregoing related description, the first historical resource usage information and the second historical resource usage information may be described by a series of sequences, so that the historical change feature may be extracted according to the change trend of the historical resource usage information.
Specifically, as an alternative embodiment of the present application, the change trend may be calculated by a differential manner, for example, the change trend of the historical resource usage information may be obtained by calculating a first-order differential, a high-order differential, or a combination of the first-order differential and the high-order differential. Of course, other ways of extracting the change trend are also feasible, and the embodiments of the present application are not described herein.
Further, in order to better extract the change characteristics according to the change trend of the historical resource usage information, as an alternative embodiment of the present application, a method for dividing the historical resource usage information according to a preset period to obtain a plurality of segments is provided, and the implementation scheme for obtaining the change characteristics from the whole based on the change trend corresponding to each segment is specifically referred to the following fig. 6 and the explanation content thereof.
And 203, determining a target hybrid cloud from the reference hybrid cloud according to the first historical change characteristic, the second historical change characteristic and the change characteristic corresponding to the preset reference hybrid cloud.
In the embodiment of the application, after the first historical change characteristic and the second historical change characteristic are respectively extracted according to the historical resource use information of the public cloud and the historical resource use information of the private cloud, the resource allocation device further compares the first historical change characteristic and the second historical change characteristic through the change characteristic corresponding to the reference hybrid cloud, so that a target hybrid cloud with similar change characteristics with the historical resource use information of the public cloud and the historical resource use information of the private cloud is determined from the reference hybrid cloud.
Specifically, the preset reference hybrid cloud provided in the embodiment of the present application may be a hybrid cloud platform set up by other service providers in the field, and of course, the change characteristics corresponding to the reference hybrid cloud are also determined based on similar rules by using the change trend of the resource usage information on the public cloud and the change trend of the resource usage information on the private cloud in the preset period, which is not described herein in detail.
204, allocating the resources on the public cloud and the private cloud according to the first resource allocation amount and the second resource allocation amount in the target mixed cloud.
In the embodiment of the application, after the target hybrid cloud is determined, the resource allocation device allocates the resources on the public cloud and the private cloud according to the first resource allocation amount and the second resource allocation amount in the target hybrid cloud. The first resource allocation amount in the target hybrid cloud may be understood as a resource allocation amount on a public cloud in the target hybrid cloud, and the second resource allocation amount may be understood as a resource allocation amount on a private cloud in the target hybrid cloud. In particular, the allocation of resources on public cloud and private cloud is realized based on the difference of the resource amounts, and the specific implementation scheme can refer to the following fig. 4 and the explanation thereof.
According to the resource allocation method provided by the embodiment of the application, the historical resource use information of the public cloud and the private cloud in the mixed cloud is obtained, the change characteristics are extracted according to the change trend of the historical resource use information, the target mixed cloud with similar change trend is screened out with the change characteristics of other reference mixed clouds, and the resource allocation amount in the target mixed cloud is utilized to allocate the resources on the public cloud and the private cloud, so that the balance of the resource use on the public cloud and the private cloud can be dynamically maintained, and the performance of the system is ensured.
Fig. 3 is a schematic flowchart of a step of determining a target hybrid cloud according to an embodiment of the present application, which is described in detail below.
In the embodiment of the application, an implementation scheme for screening and obtaining a target hybrid cloud based on similarity among change features is provided, and specifically comprises the following steps 301-304:
and 301, acquiring a first change characteristic and a second change characteristic in the change characteristics corresponding to the reference hybrid cloud.
In the embodiment of the present application, as can be seen from the foregoing related description, the change features corresponding to the reference hybrid cloud also include two change features, one is a change feature corresponding to the public cloud in the reference hybrid cloud, that is, a first change feature, and the other is a change feature corresponding to the private cloud in the reference hybrid cloud, that is, a second change feature. Specifically, the first change feature and the second change feature are also extracted based on a change trend of the resource usage information of the resource thereon, which is not described herein.
302, calculating the similarity between the first historical change feature and the first change feature to obtain a first similarity, and calculating the similarity between the second historical change feature and the second change feature to obtain a second similarity.
In the embodiment of the present application, as known from the foregoing related description, the first historical change feature, the first change feature, the second historical change feature and the second change feature all exist in the form of feature vectors, so that the similarity between the first historical change feature and the first change feature and the similarity between the second historical change feature and the second change feature can be calculated by adopting a mode of calculating vector similarity, thereby obtaining the first similarity and the second similarity. Specifically, the vector similarity may be calculated by using a calculation formula of cosine similarity, or may be calculated by using other manners, which is not described herein in detail.
And 303, determining the comprehensive similarity corresponding to the reference mixed cloud according to the first similarity and the second similarity.
In the embodiment of the present application, after the first similarity and the second similarity are calculated, the resource allocation device further synthesizes the first similarity and the second similarity to determine the comprehensive similarity corresponding to the reference hybrid cloud, for example, as an optional embodiment of the present application, the comprehensive similarity may be obtained by weighting the first similarity and the second similarity according to a set weight, and the specific weight may be set based on the actual requirement of the hybrid.
304, determining a target hybrid cloud from the reference hybrid clouds according to the magnitude relation of the comprehensive similarity corresponding to each reference hybrid cloud.
In the embodiment of the application, after the comprehensive similarity corresponding to the reference hybrid cloud is determined based on the first similarity and the second similarity, the resource allocation device sorts the comprehensive similarity corresponding to each reference hybrid cloud according to the magnitude relation, and determines the target hybrid cloud from the reference hybrid clouds based on the magnitude relation of the comprehensive similarity, for example, most commonly, the reference hybrid cloud with the highest comprehensive similarity is determined as the target hybrid cloud.
Fig. 4 is a schematic flowchart of a step of allocating resources based on a resource allocation amount according to an embodiment of the present application, which is described in detail below.
In the embodiment of the application, an implementation scheme for allocating resources based on the allocation amount of resources on a target hybrid cloud is provided, which specifically comprises the following steps:
401, acquiring a first real-time resource amount corresponding to the public cloud and a second real-time resource amount corresponding to the private cloud.
In the embodiment of the application, the resource allocation device can acquire the current real-time resource quantity deployed on the public cloud and the private cloud in addition to acquiring the historical resource use information of the public cloud and the private cloud.
And 402, calculating the ratio of the first resource allocation amount to the first real-time resource amount in the target mixed cloud to obtain a first allocation ratio.
In the embodiment of the application, the resource allocation device calculates in real time a ratio of a first resource allocation amount to a first real-time resource amount in the target mixed cloud to obtain a first allocation ratio, wherein the first allocation ratio is larger than 1, which indicates that the first real-time resource amount is smaller than the first resource allocation amount, at this time, more resources can be allocated to the public cloud, otherwise, the first allocation ratio is smaller than 1, which indicates that the first real-time resource amount is larger than the first resource allocation amount, and resources on the public cloud can be allocated to other clouds.
And 403, calculating the ratio of the second resource allocation amount to the second real-time resource amount in the target mixed cloud to obtain a second allocation ratio value.
In the embodiment of the application, as in the foregoing manner of calculating the public cloud, the resource allocation device further calculates in real time a ratio of a second resource allocation amount to a second real-time resource amount in the target hybrid cloud to obtain a second allocation ratio, where the second allocation ratio is greater than 1, which indicates that the second real-time resource amount is smaller than the second resource allocation amount, at this time, more resources may be allocated to the private cloud, and conversely, the second allocation ratio is smaller than 1, which indicates that the second real-time resource amount is greater than the second resource allocation amount, and may allocate resources on the private cloud to other clouds.
404, allocating the resources of the public cloud according to the first allocation ratio, and allocating the resources of the private cloud according to the second allocation ratio.
In the embodiment of the application, after the first allocation ratio and the second allocation ratio are obtained, the resource allocation device allocates the public cloud resources further according to the first allocation ratio and allocates the private cloud resources according to the second allocation ratio, so that the balance of the public cloud resources and the private cloud resources is maintained, and the system performance of the hybrid cloud system is ensured. In particular, a specific implementation scheme for allocating resources on the cloud may refer to fig. 5 and the explanation of the following description.
As shown in fig. 5, fig. 5 is a schematic flow chart of steps for allocating resources based on a resource allocation ratio according to an embodiment of the present application, and specifically includes steps 501 to 504:
501, setting weights corresponding to the resources according to the resource types corresponding to the resources on the public cloud and the private cloud.
In the embodiment of the application, the characteristics of the resources deployed on the public cloud and the private cloud are considered, for example, more private internal data is generally deployed on the private cloud, and more flexible resource data is generally deployed on the public cloud. Therefore, the above characteristics can be further utilized to set the weight corresponding to each resource according to the resource type corresponding to each resource on the public cloud and the private cloud. For example, on a private cloud, the data resource types with higher privacy, such as the weight corresponding to the user data, are higher.
And 502, determining target public resources to be allocated from the resources on the public cloud according to the first allocation ratio and the weight corresponding to each resource.
In the embodiment of the application, when the first allocation ratio is smaller than 1, that is, when the resources on the public cloud are required to be allocated to other cloud ends, the resources with smaller weights are further set as the target public resources to be allocated according to the allocation ratio and the weights corresponding to the resources, so that the subsequent transfer of the partial target public resources is realized. Of course, when the first allocation ratio is greater than 1, that is, when it is not necessary to allocate the resources on the public cloud to other cloud ends, there is no target common resource to be allocated, that is, the resource amount of the target common resource is 0.
And 503, determining a target private resource to be allocated from the resources on the private cloud according to the second allocation ratio and the weight corresponding to each resource.
In the embodiment of the application, when the second allocation ratio value is smaller than 1, that is, when the resources on the private cloud are required to be allocated to other cloud ends, the resources with smaller weights are further set as the target private resources to be allocated according to the allocation ratio value and the weights corresponding to the resources, so that the subsequent transfer of the partial target private resources is realized. Of course, when the second allocation ratio value is greater than 1, that is, when it is not necessary to allocate the resources on the private cloud to other cloud ends, there is no target private resource to be allocated, that is, the resource amount of the target private resource is 0.
And 504, transferring the target public resource and the target private resource to a preset mixed cloud.
In the embodiment of the application, after the target public resource and the target private resource which need to be transferred are determined, the resource allocation device transfers the corresponding resources to the preset hybrid cloud. Of course, the resource may be transferred to the cloud with the second allocation value greater than 1. For example, the first allocation ratio is smaller than 1 and the second allocation ratio is larger than 1, the resource allocation device transfers the target public resource to be allocated determined on the public cloud to the private cloud, whereas the first allocation ratio is larger than 1 and the second allocation ratio is smaller than 1, and the resource allocation device transfers the target private resource to be allocated determined on the private cloud to the public cloud.
Fig. 6 is a schematic flowchart of a step of determining a change feature according to an embodiment of the present application, which is described in detail below.
In the embodiment of the application, an implementation scheme for dividing resource use information to obtain a plurality of fragments to determine change characteristics is provided, and the implementation scheme is specific. The embodiment of the present application is described by taking the determination of the first history change feature as an example, and a person skilled in the art may obtain an implementation scheme for determining the second history change feature based on the embodiment of the present application, and specifically includes steps 601 to 603:
601, dividing the first historical resource usage information according to a preset period to obtain a plurality of resource usage subsequences.
In the embodiment of the application, the resource allocation device divides the complete historical resource usage information, namely the resource usage sequence, into a plurality of resource usage sub-sequences according to a preset period. For example, taking the historical resource usage information of 6 months as an example, if it is performed periodically for each month, 6 resource usage sub-sequences may be obtained by dividing.
And 602, determining the change sub-characteristics corresponding to the resource use sub-sequences according to the change trend of the resource use sub-sequences.
In the embodiment of the application, aiming at each resource using sub-sequence, according to the change trend, the change sub-characteristic corresponding to each resource using sub-sequence can be obtained. The implementation scheme for extracting the change sub-features by using the change trend of the resource use sub-sequence can be implemented in a differential mode similar to the history features extracted by using the change trend of the resource use information provided above, and the embodiments of the present application are not described here again.
603, fusing the change sub-features corresponding to the resource use sub-sequences to obtain a first historical change feature.
In the embodiment of the application, after the change sub-features corresponding to the resource use sub-sequences are obtained, the change sub-features corresponding to the resource use sub-sequences are fused to obtain the first historical change features. Specifically, as a possible embodiment of the present application, the weights of the various sub-features may be set to be fused, and a specific implementation may refer to fig. 7 and the explanation thereof.
Fig. 7 is a schematic flow chart of steps for fusing sub-features to obtain a changed feature according to an embodiment of the present application, which is described in detail below.
In the embodiment of the application, an implementation scheme for setting the weight of each change sub-feature based on the total amount of periodic resource usage is provided, which specifically comprises steps 701-703:
701, respectively counting the resource usage information corresponding to each period to obtain the total resource usage amount corresponding to each period.
In the embodiment of the application, the total resource usage amount in each period can be obtained by summing the resource usage amounts in each period.
And 702, setting the weight corresponding to each period according to the total resource usage amount corresponding to each period.
In the embodiment of the application, the higher the total amount of resource usage is, the higher the activity of the user in the period is, so that a higher weight can be set, namely, the relationship between the weight corresponding to the period and the total amount of resource usage corresponding to the period satisfies positive correlation.
And 703, weighting the change sub-features corresponding to the resource use sub-sequences according to the weights corresponding to the periods respectively to obtain first historical change features.
In the embodiment of the application, after determining the weight corresponding to each period, the resource allocation device further uses the weight corresponding to each period to weight the change sub-feature of the resource usage sub-sequence corresponding to each period, thereby obtaining the final first history change feature.
In addition, for the scheme of determining the second historical change feature by using the second historical resource usage information, the second historical resource usage information may be divided to obtain a plurality of sub-sequences, then the corresponding change sub-features are respectively extracted and obtained, the corresponding weights are set according to the total amount of resource usage in the period corresponding to each sub-sequence, and finally the weights are used to finish weighting the corresponding change sub-features, so as to obtain the second historical change feature.
Fig. 8 is a flowchart of a step of obtaining historical resource usage information according to an embodiment of the present application, which is described in detail below.
In the embodiment of the application, an implementation scheme for judging whether to allocate the resource amount based on the total amount of resources on public cloud and private cloud is provided, specifically, the implementation scheme comprises steps 801-802:
801, obtaining the total amount of resources on the public cloud and the private cloud.
In the embodiment of the application, the resource allocation device can acquire the real-time resource quantity of the public cloud and the private cloud, and sum to obtain the total resource quantity.
And 802, if the total amount of resources exceeds a preset resource amount threshold, acquiring first historical resource use information of the public cloud and second historical resource use information of the private cloud.
In the embodiment of the application, if the total amount of resources exceeds the preset resource amount threshold, the real-time resource amounts of the public cloud and the private cloud are more, so that the balance of the system performance is better realized, and at the moment, the resource allocation device executes a computer storage medium corresponding to the resource allocation method, namely, acquires the first historical resource use information of the public cloud and the second historical resource use information of the private cloud, thereby realizing the balance allocation of the real-time resource amounts on the public cloud and the private cloud.
In order to better implement the resource allocation method provided by the embodiment of the application, on the basis of the resource allocation method, the embodiment of the application also provides a resource allocation device. Fig. 9 is a schematic structural diagram of a resource allocation device according to an embodiment of the present application, as shown in fig. 9. Specifically, the resource allocation device includes:
an obtaining module 901, configured to obtain first historical resource usage information of the public cloud and second historical resource usage information of the private cloud;
an extracting module 902, configured to determine a first historical change feature according to a change trend of the first historical resource usage information, and determine a second historical change feature according to a change trend of the second historical resource usage information;
a screening module 903, configured to determine a target hybrid cloud from the reference hybrid cloud according to the first historical change feature, the second historical change feature, and a change feature corresponding to a preset reference hybrid cloud;
and the allocation module 904 is configured to allocate resources on the public cloud and the private cloud according to the first resource allocation amount and the second resource allocation amount in the target hybrid cloud.
As an alternative embodiment of the present application, the screening module includes:
The reference characteristic obtaining sub-module is used for obtaining a first change characteristic and a second change characteristic in the change characteristics corresponding to the reference hybrid cloud;
the similarity calculation submodule is used for calculating the similarity of the first historical change feature and the first change feature to obtain first similarity, and calculating the similarity of the second historical change feature and the second change feature to obtain second similarity;
the similarity fusion submodule is used for determining the comprehensive similarity corresponding to the reference mixed cloud according to the first similarity and the second similarity;
and the screening sub-module is used for determining a target mixed cloud from the reference mixed clouds according to the magnitude relation of the comprehensive similarity corresponding to each reference mixed cloud.
As an alternative embodiment of the present application, the allocation module includes:
the real-time resource amount acquisition sub-module is used for acquiring a first real-time resource amount corresponding to the public cloud and a second real-time resource amount corresponding to the private cloud;
a first ratio calculating submodule, configured to calculate a ratio of a first resource allocation amount in the target hybrid cloud to the first real-time resource amount, so as to obtain a first allocation ratio;
A second ratio calculating sub-module, configured to calculate a ratio of a second resource allocation amount in the target hybrid cloud to the second real-time resource amount, to obtain a second allocation ratio value;
and the allocation sub-module is used for allocating the public cloud resources according to the first allocation ratio and allocating the private cloud resources according to the second allocation ratio.
As an alternative embodiment of the present application, the allocation submodule includes:
the weight setting unit is used for setting the weight corresponding to each resource according to the resource types corresponding to each resource on the public cloud and the private cloud;
the first resource screening unit is used for determining target public resources to be allocated from the resources on the public cloud according to the first allocation ratio and the weight corresponding to each resource;
a second resource screening unit, configured to determine a target private resource to be allocated from the resources on the private cloud according to the second allocation ratio and the weights corresponding to the resources;
and the resource allocation unit is used for transferring the target public resource and the target private resource to a preset mixed cloud.
In some embodiments of the application, the extraction module comprises:
The dividing sub-module is used for dividing the first historical resource use information according to a preset period to obtain a plurality of resource use sub-sequences;
the characteristic extraction sub-module is used for determining the change sub-characteristics corresponding to the resource use sub-sequences according to the change trend of the resource use sub-sequences;
and the characteristic fusion sub-module is used for fusing the change sub-characteristics corresponding to the resource use sub-sequences to obtain a first historical change characteristic.
In some embodiments of the application, the feature fusion submodule includes:
the statistics unit is used for respectively carrying out statistics on the resource use information corresponding to each period to obtain the total resource use amount corresponding to each period;
the setting unit is used for setting the weight corresponding to each period according to the total resource usage amount corresponding to each period;
and the weighting unit is used for respectively weighting the change sub-features corresponding to the resource use sub-sequences according to the weights corresponding to the periods to obtain a first historical change feature.
In some embodiments of the present application, the resource allocation apparatus further includes a total amount acquisition module;
the total amount acquisition module is used for acquiring the total amount of resources on the public cloud and the private cloud;
The obtaining module is configured to obtain the first historical resource usage information of the public cloud and the second historical resource usage information of the private cloud if the total amount of resources exceeds a preset resource amount threshold.
The embodiment of the application also provides a resource allocation device, as shown in fig. 10, and fig. 10 is a schematic structural diagram of the resource allocation device provided by the embodiment of the application.
The resource allocation device comprises a memory, a processor, and a resource allocation program stored in the memory and executable on the processor, wherein the processor implements the steps in the resource allocation method provided by any embodiment of the present application when executing the resource allocation program.
Specifically, the present application relates to a method for manufacturing a semiconductor device. The resource allocation device may comprise components of a processor 1001 of one or more processing cores, a memory 1002 of one or more storage media, a power supply 1003, and an input unit 1004, among others. It will be appreciated by those skilled in the art that the resource allocation device structure shown in fig. 10 does not constitute a limitation of the resource allocation device, and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components. Wherein:
the processor 1001 is a control center of the resource allocation apparatus, connects respective portions of the entire resource allocation apparatus using various interfaces and lines, and performs various functions of the resource allocation apparatus and processes data by running or executing software programs and/or modules stored in the memory 1002 and calling data stored in the memory 1002, thereby performing overall monitoring of the resource allocation apparatus. Optionally, the processor 1001 may include one or more processing cores; preferably, the processor 1001 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, an application program, and the like, and the modem processor mainly processes wireless communication. It will be appreciated that the modem processor described above may not be integrated into the processor 1001.
The memory 1002 may be used to store software programs and modules, and the processor 1001 executes various functional applications and data processing by executing the software programs and modules stored in the memory 1002. The memory 1002 may mainly include a storage program area that may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and a storage data area; the storage data area may store data created according to the use of the resource allocation apparatus, etc. In addition, memory 1002 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 1002 may also include a memory controller to provide the processor 1001 with access to the memory 1002.
The resource allocation device further comprises a power supply 1003 for powering the various components, preferably the power supply 1003 is logically connected to the processor 1001 by a power management system, whereby charging, discharging, and power consumption management functions are managed by the power management system. The power supply 1003 may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
The resource allocation device may further comprise an input unit 1004, which input unit 1004 may be used for receiving input numerical or character information and for generating keyboard, mouse, joystick, optical or trackball signal inputs in connection with user settings and function control.
Although not shown, the resource allocation device may further include a display unit or the like, which is not described herein. In particular, in this embodiment, the processor 1001 in the resource allocation device loads executable files corresponding to the processes of one or more application programs into the memory 1002 according to the following instructions, and the processor 1001 executes the application programs stored in the memory 1002, so as to implement the steps in the resource allocation method provided in any embodiment of the present application.
To this end, embodiments of the present application provide a computer-readable storage medium, which may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like. The computer readable storage medium stores a resource allocation program which, when executed by a processor, implements the steps of the resource allocation method provided in any of the embodiments of the present application.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and the portions of one embodiment that are not described in detail in the foregoing embodiments may be referred to in the foregoing detailed description of other embodiments, which are not described herein again.
In the implementation, each unit or structure may be implemented as an independent entity, or may be implemented as the same entity or several entities in any combination, and the implementation of each unit or structure may be referred to the foregoing method embodiments and will not be repeated herein.
The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.
The foregoing has described in detail a resource allocation method provided by embodiments of the present application, and specific examples have been employed herein to illustrate the principles and embodiments of the present application, the above description of the embodiments being only for aiding in the understanding of the method and core idea of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, the present description should not be construed as limiting the present application.
Claims (10)
1. A resource allocation method, characterized in that the method is applied to a hybrid cloud consisting of public cloud and private cloud, and the method comprises:
Acquiring first historical resource use information of the public cloud and second historical resource use information of the private cloud;
determining a first historical change characteristic according to the change trend of the first historical resource use information, and determining a second historical change characteristic according to the change trend of the second historical resource use information;
determining a target hybrid cloud from the reference hybrid cloud according to the first historical change characteristic, the second historical change characteristic and a change characteristic corresponding to a preset reference hybrid cloud;
and distributing the resources on the public cloud and the private cloud according to the first resource distribution amount and the second resource distribution amount in the target mixed cloud.
2. The method for allocating resources according to claim 1, wherein the determining a target hybrid cloud from the reference hybrid clouds according to the first historical change feature, the second historical change feature and a change feature corresponding to a preset reference hybrid cloud includes:
acquiring a first change feature and a second change feature in the change features corresponding to the reference hybrid cloud;
calculating the similarity of the first historical change feature and the first change feature to obtain a first similarity, and calculating the similarity of the second historical change feature and the second change feature to obtain a second similarity;
Determining the comprehensive similarity corresponding to the reference hybrid cloud according to the first similarity and the second similarity;
and determining a target hybrid cloud from the reference hybrid clouds according to the magnitude relation of the comprehensive similarity corresponding to each reference hybrid cloud.
3. The method of claim 1, wherein the allocating resources on the public cloud and the private cloud according to the first and second allocation amounts of resources in the target hybrid cloud comprises:
acquiring a first real-time resource amount corresponding to the public cloud and a second real-time resource amount corresponding to the private cloud;
calculating the ratio of the first resource allocation amount to the first real-time resource amount in the target mixed cloud to obtain a first allocation ratio;
calculating the ratio of the second resource allocation amount to the second real-time resource amount in the target mixed cloud to obtain a second allocation ratio value;
and distributing the public cloud resources according to the first distribution ratio and distributing the private cloud resources according to the second distribution ratio.
4. A method of allocating resources according to claim 3, wherein said allocating resources of said public cloud according to said first allocation ratio and allocating resources of said private cloud according to said second allocation ratio comprises:
Setting weights corresponding to the resources according to the resource types corresponding to the resources on the public cloud and the private cloud;
determining target public resources to be allocated from the resources on the public cloud according to the first allocation ratio and the weight corresponding to each resource;
determining target private resources to be allocated from the resources on the private cloud according to the second allocation ratio and the weight corresponding to each resource;
and transferring the target public resource and the target private resource to a preset mixed cloud.
5. The resource allocation method according to claim 1, wherein the determining a first historical change characteristic from a change trend of the first historical resource usage information includes:
dividing the first historical resource use information according to a preset period to obtain a plurality of resource use subsequences;
determining the change sub-characteristics corresponding to the resource using sub-sequences according to the change trend of the resource using sub-sequences;
and fusing the change sub-features corresponding to the resource use sub-sequences to obtain a first historical change feature.
6. The method for allocating resources according to claim 5, wherein said fusing the change sub-features corresponding to the sub-sequences of the resource usage to obtain the first historical change feature comprises:
Respectively counting the resource use information corresponding to each period to obtain the total resource use amount corresponding to each period;
setting a weight corresponding to each period according to the total resource usage amount corresponding to each period;
and weighting the change sub-features corresponding to the resource use sub-sequences according to the weights corresponding to the periods to obtain first historical change features.
7. The method for allocating resources according to any one of claims 1 to 6, wherein before the obtaining the first historical resource usage information of the public cloud and the second historical resource usage information of the private cloud, the method further comprises:
acquiring the total amount of resources on the public cloud and the private cloud;
and if the total resource amount exceeds a preset resource amount threshold, executing the step of acquiring the first historical resource use information of the public cloud and the second historical resource use information of the private cloud.
8. A resource allocation device, characterized in that it is disposed in a hybrid cloud consisting of public and private clouds, said device comprising:
the acquisition module is used for acquiring the first historical resource use information of the public cloud and the second historical resource use information of the private cloud;
The extraction module is used for determining a first historical change characteristic according to the change trend of the first historical resource use information and determining a second historical change characteristic according to the change trend of the second historical resource use information;
the screening module is used for determining a target hybrid cloud from the reference hybrid cloud according to the first historical change characteristics, the second historical change characteristics and the change characteristics corresponding to the preset reference hybrid cloud;
and the allocation module is used for allocating the resources on the public cloud and the private cloud according to the first resource allocation amount and the second resource allocation amount in the target mixed cloud.
9. A resource allocation device, characterized in that it comprises a processor, a memory and a resource allocation program stored in said memory and executable on said processor, said processor executing said resource allocation program to implement the steps of the resource allocation method according to any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a resource allocation program that is executed by a processor to implement the steps in the resource allocation method of any one of claims 1 to 7.
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