CN106453146A - Private cloud computing resource distribution method and system - Google Patents
Private cloud computing resource distribution method and system Download PDFInfo
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- CN106453146A CN106453146A CN201611019698.7A CN201611019698A CN106453146A CN 106453146 A CN106453146 A CN 106453146A CN 201611019698 A CN201611019698 A CN 201611019698A CN 106453146 A CN106453146 A CN 106453146A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/31—Distributed metering or calculation of charges
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1403—Architecture for metering, charging or billing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/24—Accounting or billing
Abstract
The invention provides a private cloud computing resource distribution method and system, wherein the method comprises the following steps of: obtaining private cloud computing resource demand information input by a cloud tenant, wherein the demand information includes computing resource information and effective time information; according to the computing resource information and the effective time information, generating a quota policy of the cloud tenant, wherein the quota policy includes the demand number and the vapid period of computing resources by the cloud tenant; according to the computing resource information, searching a computing resource group pool, and searching a computing resource group, configuration characteristics of which are matched with the computing resource information, wherein various computing resources in each computing resource group, have same or similar configuration characteristics; and, arbitrarily selecting computing resources satisfying the demand number of the cloud tenant from the searched computing resource group within the valid period, and distributing the computing resources to the cloud tenant. A flexible, practical and reliable private cloud computing resource distribution scheme can be provided for the cloud tenant.
Description
Technical field
The present invention relates to field of cloud calculation, the distribution method of more particularly to privately owned cloud computing resources and system.
Background technology
For IT (Information Technology, IT industry) now for the epoch, cloud computing represents
The core competitiveness in future information technology field, cloud computing has attracted more next with advantages such as its convenient, economic, high expansibilities
The sight of more multiple enterprises, it is freed from IT infrastructure management with the heavy pressure safeguarded, more absorbed and itself
Core business develops.There is the deployment form of multiple clouds, for example：Public cloud, private clound, mixed cloud etc..Public cloud be by
The computing resource that publicly-owned cloud service provider supplier provides, these computing resources are available for all of network user and use, and refer to
The cloud environment being used by some enterprises and users to share.But for security reasons, competent large enterprises are partial to build
The private clound of itself, private clound can be built by the IT mechanism of enterprise itself or cloud provider, and resource therein only supplies enterprise
Internal user (each department and each subsidiary) or the specific external user related to enterprise use.
Traditional private clound when the specific external user related for enterprises user or enterprise uses, typically root
Demand according to user distributes, in private clound, the computing resource meeting user's request, but needs in the assignment procedure according to user's
Demand going one by one is mated, thus matching corresponding computing resource, and when user is using distributing to its computing resource,
If this computing resource lost efficacy, need to re-start coupling.Matching process is loaded down with trivial details, and underaction is it is impossible to be user well
Cloud service is provided.
Content of the invention
Based on this it is necessary to the asking of the loaded down with trivial details underaction of assigning process when distributing computing resource for traditional private clound
Topic, provides a kind of flexible, convenience, the reliably distribution method of privately owned cloud computing resources and system.
For reaching goal of the invention, provide a kind of distribution method of privately owned cloud computing resources, described distribution method includes：
Obtain the demand information of the computing resource to private clound of cloud tenant input, wherein, described demand information includes counting
Calculate resource information and effective time information；
Generate the quota strategy of described cloud tenant according to described computing resource information and described effective time information, described join
Volume strategy includes described cloud tenant to the quantity required of computing resource and period of validity；
According to described computing resource information searching computing resource group pond, find out configuration feature and described computing resource information
The computing resource group matching, it is special that each computing resource in each described computing resource group has same or like configuration
Property；
Arbitrarily select to meet the calculating of described quantity required within described period of validity from the computing resource group finding out
Resource allocation gives described cloud tenant.
Wherein in an embodiment, described arbitrarily select from the computing resource group finding out within described period of validity
Meet described cloud tenant's quantity required computational resource allocation give described cloud tenant step before, described distribution method is also wrapped
Include：
The charging regulation of the computing resource group finding out described in acquisition, wherein, also defines in described computing resource group pond
The charging regulation of each computing resource group；
According to described quota strategy and described charging regulation, the computing resource of the apllied private clound of described cloud tenant is entered
Row charging, obtains quotation information；
Determine whether to distribute described cloud tenant Shen for described cloud tenant according to described quota strategy and/or described quotation information
Described computing resource please.
Wherein in an embodiment, described determined whether for institute according to described quota strategy and/or described quotation information
The step stating the described computing resource of cloud tenant distribution described cloud tenant application includes：
Judge described quota strategy whether within default quota strategy and/or whether described quotation information is in budget report
Within valency；
If so, then judge that described cloud tenant applies for successfully, and to execute described be described from the computing resource group finding out
The step that cloud tenant distribution meets the computing resource of described quota strategy；
If it is not, then judging that described cloud tenant applies for unsuccessfully.
Wherein in an embodiment, each computing resource in described computing resource group pond is according to the system of computing resource
One of rule that configuration is close or identical, computing resource framework is close or identical, computing resource scale of price is consistent or group
Close and be grouped into the same or like computing resource group of configuration feature.
Wherein in an embodiment, described according to described computing resource information searching computing resource group pond, find out with
The computing resource group of described computing resource information match, and described within described period of validity from the computing resource finding out
The computational resource allocation meeting described cloud tenant's quantity required is arbitrarily selected to include to the step of described cloud tenant in group：
Determine the configuration feature of described required computing resource according to described computing resource information；
If described cloud tenant is single to the quantity required of described computing resource, from described computing resource group Chi Zhongcha
Find out the computing resource group matching with the configuration feature of the computing resource of described cloud tenant's demand, and within described period of validity
Arbitrarily select a computational resource allocation to described cloud tenant from the computing resource group finding out；
If described cloud tenant is multiple to the quantity required of described computing resource, judge the many of described cloud tenant's demand
Whether the configuration feature of individual computing resource is identical；If identical, find out and described cloud tenant from described computing resource group pond
The computing resource group that the configuration feature of multiple computing resources of demand matches, and from the meter finding out within described period of validity
Calculate the computational resource allocation arbitrarily selecting described cloud tenant's quantity required in resource group to described cloud tenant；If it is different, then distinguishing
Find out, from described computing resource group pond, the computing resource group matching from different configuration feature, and within described period of validity from
The calculating of described cloud tenant quantity required in corresponding computing resource group is arbitrarily selected in each computing resource group finding out
Resource allocation gives described cloud tenant.
Wherein in an embodiment, after for described cloud tenant distribution computing resource, described distribution method also includes：
The utilization rate of the computing resource that cloud tenant described in real-time monitoring applies for it, and it is less than default profit in described utilization rate
Idle computing resource when using rate, in the computing resource of release described cloud tenant application.
The present invention also provides a kind of distribution system of privately owned cloud computing resources, and described distribution system includes：
Demand information acquisition module, for obtaining the demand information of the computing resource to private clound of cloud tenant input, its
In, described demand information includes computing resource information and effective time information；
Quota policy generation module, for generating described cloud according to described computing resource information and described effective time information
The quota strategy of tenant, described quota strategy includes described cloud tenant to the quantity required of computing resource and period of validity；
Searching modul, calculates money for according to described computing resource information searching computing resource group pond, finding out with described
The computing resource group that source information matches, each computing resource in each described computing resource group has same or like joining
Put characteristic；
Distribute module, for arbitrarily selecting to meet described need within described period of validity from the computing resource group finding out
The computational resource allocation seeking quantity is to described cloud tenant.
Wherein in an embodiment, described distribution system also includes：
Charging regulation acquisition module, for described be that described cloud tenant distribution meets from the computing resource group finding out
Before the computing resource of described quota strategy, the charging regulation of the computing resource group finding out described in acquisition, wherein, described calculating
The charging regulation of each computing resource group is also defined in resource group pond；
Quotation information obtains module, for being applied for described cloud tenant according to described quota strategy and described charging regulation
The computing resource of private clound carry out charging, obtain quotation information；
Distribution determining module, for determining whether to rent for described cloud according to described quota strategy and/or described quotation information
The described computing resource of family distribution described cloud tenant application.
Wherein in an embodiment, described distribution determining module includes：
Whether judging unit, for judging described quota strategy within default quota strategy and/or described offer
Whether breath is within quotation on budge；If so, then judge that described cloud tenant applies for successfully, and enter described distribute module；If it is not, then
Judge that described cloud tenant applies for unsuccessfully.
Wherein in an embodiment, each computing resource in described computing resource group pond is according to the system of computing resource
One of rule that configuration is close or identical, computing resource framework is close or identical, computing resource scale of price is consistent or group
Close and be grouped into the same or like computing resource group of configuration feature.
Wherein in an embodiment, described searching modul includes：
Determining unit, for determining the configuration of the required computing resource of described cloud tenant according to described computing resource information
Characteristic；
First searching unit, if being single for described cloud tenant to the quantity required of described computing resource, from institute
State and in computing resource group pond, find out the computing resource group matching with the configuration feature of the computing resource of described cloud tenant's demand；
Judging unit, if being multiple for described cloud tenant to the quantity required of described computing resource, judges described
Whether the configuration feature of multiple computing resources of cloud tenant's demand is identical；
Second searching unit, if the configuration feature for multiple computing resources of described cloud tenant's demand is identical, from
The calculating matching with the configuration feature of multiple computing resources of described cloud tenant's demand is found out in described computing resource group pond
Resource group；
3rd searching unit, if the configuration feature for multiple computing resources of described cloud tenant's demand is different, from
Described computing resource group pond finds out the computing resource group meeting different computing resource configuration feature respectively；
Described distribute module includes：
First allocation unit, for finding out and described cloud from described computing resource group pond in described first searching unit
After the computing resource group that the configuration feature of the computing resource of tenant's demand matches, from finding out within described period of validity
A computational resource allocation arbitrarily be selected to described cloud tenant in computing resource group；
Second allocation unit, for finding out and described cloud from described computing resource group pond in described second searching unit
After the computing resource group that the configuration feature of multiple computing resources of tenant's demand matches, from lookup within described period of validity
The computational resource allocation arbitrarily selecting described cloud tenant's quantity required in the computing resource group going out is to described cloud tenant；
3rd allocation unit, meets not for finding out from described computing resource group pond in described 3rd searching unit respectively
After the computing resource group of computing resource configuration feature, within described period of validity from each computing resource group finding out
The computational resource allocation arbitrarily selecting described cloud tenant quantity required in corresponding computing resource group is to described cloud tenant.
Wherein in an embodiment, described distribution system also includes：
Monitoring modular, for, after for described cloud tenant distribution computing resource, described in real-time monitoring, cloud tenant is to its Shen
The utilization rate of computing resource please, and when described utilization rate is less than default utilization rate, the calculating of release described cloud tenant application
Idle computing resource in resource.
Beneficial effects of the present invention include：
The distribution method of above-mentioned privately owned cloud computing resources and system, search in computing resource group pond is to meet cloud tenant
The computing resource group of demand, because each computing resource in computing resource group is grouped by default rule of classification,
Each computing resource configuration in each computing resource group is upper close or identical, therefore, is finding and computing resource information phase
After the computing resource group of coupling, can arbitrarily select the computing resource of respective numbers to meet cloud from this computing resource group and rent
The quota strategy of family application, the mode that its relatively conventional single computing resource is mated one by one is more practical, and even
The currently used computing resource of cloud tenant lost efficacy, and also other computing resources can be selected at any time from this computing resource group to meet
The demand of cloud tenant, therefore for cloud tenant, also reliable, good cloud computing service can be provided for cloud tenant.
Brief description
Fig. 1 is the schematic flow sheet of the distribution method of privately owned cloud computing resources in an embodiment；
Fig. 2 is cloud tenant in an embodiment, the corresponding relation schematic diagram between quota strategy and computing resource group；
Fig. 3 is the schematic flow sheet of the distribution method of privately owned cloud computing resources in another embodiment；
Fig. 4 is the structural representation of the distribution system of privately owned cloud computing resources in an embodiment.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, below in conjunction with drawings and Examples pair
The distribution method of the privately owned cloud computing resources of the present invention and system are further elaborated.It should be appreciated that it is described herein
Specific embodiment only in order to explain the present invention, is not intended to limit the present invention.
In one embodiment, as shown in Figure 1, there is provided a kind of distribution method of privately owned cloud computing resources, the method bag
Include following steps：
S100, obtains the demand information of the computing resource to private clound of cloud tenant input.Wherein, demand information includes counting
Calculate resource information and effective time information.
Specifically, computing resource refers to there is the server calculating service ability, and computing resource includes physical computing money
Source and virtual computing resource, for example：Physical server and virtual server.Computing resource message reflection cloud tenant is to computing resource
The configuration feature parameter of demand, it includes physical computing resources information and virtual computing resource information.Wherein, physical computing resources
Information include physical server type, CPU (Central Processing Unit, central processing unit) quantity, memory size,
The information such as memory capacity, network requirement, physical server number of units and configuration feature；Virtual computing resource information includes Virtual Service
Device type, CPU quantity and the information such as model, memory size, memory capacity, network requirement and configuration feature.Effective time information
The use from date of the computing resource it applied for including cloud tenant and Close Date.
S200, generates the quota strategy of cloud tenant, wraps in quota strategy according to computing resource information and effective time information
Include cloud tenant to the quantity required of computing resource and period of validity.Wherein quantity required includes the number of units of physical server and virtual
The CPU quantity of server, with unit memory size (such as：1T) for the amount of memory of digit, with unit memory capacity size
(such as：1T) for the memory capacity quantity of digit.
For example：Cloud tenant submit to computing resource information be need physical server 5, to physical server effective when
Between information be half a year, need virtual server CPU quantity be 5, need virtual server memory size be 1T (needs
Amount of memory is 1), the storage volume of the virtual server of needs is 1T (the memory capacity quantity of needs is 1), above-mentioned to having
The effective time information of the virtual server of characteristic is 1 year, then the quota strategy generating is 5 physical server/half a year,
5CPU/1T internal memory/1T memory capacity/1 year；Accordingly, the demand according to cloud tenant is it is also possible to only generate to physical server
Quota strategy or only generate the quota strategy to virtual server.
S300, according to computing resource information searching computing resource group pond, finds out the meter with computing resource information match
Calculate resource group.Each computing resource in each computing resource group has same or like configuration feature.
Be stored with computing resource group pond the various computing resources that can provide, by various computing resources according to preset rules
Be grouped, specifically, each computing resource in computing resource group pond according to computing resource system configuration close or identical,
One of rule that computing resource framework is close or identical, computing resource scale of price is consistent or combination are grouped into configuration feature
Same or like computing resource group.1 computing resource is at least included, in each computing resource group in each computing resource group
The configuration feature of each computing resource is same or like.Wherein, in computing resource, configuration feature is same or like refers to often
The computing capability that individual computing resource provides is same or like, and as in physical server, configuration feature is same or like, it has
Processor and other equipment are same or like, the place of same or like then each CPU that it provides of virtual server configuration feature
Reason ability identical or provide the storage capacity of each memory cell and other performances identical；For example：Various computing resources are pressed
Lighting system configures the close or identical configuration feature phase being grouped, that is, being in each computing resource in same computing resource group
Near or identical, the configuration feature arranging this computing resource group is identical with the configuration feature of each computing resource in this group, so exists
After obtaining the computing resource information of cloud tenant, only need to search the computing resource of the computing resource information meeting cloud tenant input
Group, for example：Matched and this configuration feature phase from computing resource group pond according to the computing resource configuration feature of cloud tenant input
The computing resource group meeting is it is possible to arbitrarily select computational resource allocation to cloud tenant to meet cloud rent from this computing resource group
The demand at family.
Specifically, in one embodiment, step S300 includes：
S310, determines cloud tenant to the quantity required of computing resource and required computing resource according to computing resource information
Configuration feature.
S320, if cloud tenant is single to the quantity required of computing resource, find out from computing resource group pond with
The computing resource group that the configuration feature of the computing resource of cloud tenant's demand matches.
S330, if described cloud tenant is multiple to the quantity required of described computing resource, judges cloud tenant's demand
Whether the configuration feature of multiple computing resources is identical.
S340, if the configuration feature of multiple computing resources of cloud tenant's demand is identical, searches from computing resource group pond
Go out the computing resource group matching with the configuration feature of multiple computing resources of cloud tenant's demand.
S350, if the configuration feature of multiple computing resources of cloud tenant's demand is different, looks into from computing resource group pond respectively
Find out the computing resource group matching from different configuration feature.
S400, arbitrarily selects to meet the meter of cloud tenant's quantity required within period of validity from the computing resource group finding out
Calculate resource allocation to cloud tenant.
In one embodiment, after step S400, the distribution method of this privately owned cloud computing resources also includes：
If this computing resource is only assigned with a cloud tenant, the computing resource distributing to cloud tenant is designated busy
Computing resource.When cloud tenant uses this busy computing resource, this busy computing resource is invisible to other cloud tenants.
If this computational resource allocation gives multiple cloud tenants, when wherein a certain cloud tenant uses this computing resource,
This computing resource is designated occupancy computing resource, the cloud tenant that other is assigned with this computing resource can to this occupancy computing resource
See, but can not use, only discharged after this occupancy computing resource using the cloud tenant of this occupancy computing resource, other is assigned with this
In the cloud tenant of computing resource, one can use.The cloud tenant that other is assigned with this computing resource can be by default priority orders
Successively using this computing resource.Wherein, in this process, the cloud tenant of other this computing resource unallocated is not to this computing resource
It can be seen that.
Specifically, step S400 includes the following steps corresponding with step S300：
S410, after step S320, arbitrarily selects a meter within period of validity from the computing resource group finding out
Calculate resource allocation to described cloud tenant.
S420, after step S340, arbitrarily selects cloud tenant within period of validity from the computing resource group finding out
The computational resource allocation of quantity required is to cloud tenant.
S430, after step S350, arbitrarily selects cloud within period of validity from each computing resource group finding out
The computational resource allocation of tenant's quantity required in corresponding computing resource group is to cloud tenant.
In this step, because the computing resource information of cloud tenant input includes the quantity information to computational resource requirements,
And when the quantity of demand is multiple, the configuration feature of multiple computing resources may identical it is also possible to different, therefore calculating money
When searching computing resource group in the group pond of source, if cloud tenant is multiple calculating of or demand to the quantity of computational resource requirements
The configuration feature of resource is identical, then only need to find out, from this computing resource group pond, the computing resource group meeting this configuration feature,
And arbitrarily select one or more computational resource allocation to meet the demand of cloud tenant to cloud tenant from this computing resource group；As
Fruit cloud tenant is multiple to the quantity of computational resource requirements and the configuration feature of this multiple computing resource differs, then from calculating money
Find out multiple computing resource groups meeting configuration feature in the group pond of source, arbitrarily select in the computing resource group finding out at these respectively
The computational resource allocation selecting respective numbers is to cloud tenant.Because the computing resource of cloud tenant's demand be no longer one by one go mate,
But arbitrarily select to distribute to cloud tenant in the computing resource group matching, so this distribution method is flexible, even and if
It is that the computing resource being currently assigned to cloud tenant lost efficacy it is also possible to select a computational resource allocation from this computing resource group else
Cloud tenant it is not necessary to go the process mated again when currently used computing resource lost efficacy, and is not in that it fails to match
Situation, for cloud tenant, this distribution method is easy to be reliable, the cloud computing service experience sense lifting that private clound is provided.
In order to more clearly explain above-mentioned steps S400, illustrate below in conjunction with specific embodiment：
For example：Referring to Fig. 2, the quota strategy of generation is 2 physical server/1 year, and cloud tenant is to 2 physical servers
Configuration feature demand identical, then find meet cloud tenant application computing resource information computing resource group be physical computing
Resource group one, in physical computing resources group one, arbitrary physical computing resources are wanted in CPU quantity, memory size, memory capacity, network
The computing resource information that the configuration feature of aspect is applied for cloud tenant such as ask to meet, now only need to be from this physical computing resources group one
In arbitrarily select 2 physical computing resources to be assigned as cloud tenant to use 1 year, even and if currently distributing within effective time
Lost efficacy (for example to the physical server of cloud tenant：The physical computing resources life cycle being currently assigned to cloud tenant terminates or goes out
Existing fault) it is also possible to arbitrarily select from this computing resource group one another computational resource allocation be continuing with to cloud tenant be
Can, need not again search the computing resource matching with the demand information of cloud tenant, the assigning process of its computing resource is convenient, clever
Alive, practical, good cloud service can be provided the user.
And for example：The quota strategy generating is 5 physical server/1 year, first, second in 5 physical servers of cloud tenant
Physical server configuration feature demand is identical, and the configuration feature demand of the three, the four, the 5th physical servers is identical, then search
Computing resource group pond, find meet first, second physical server configuration feature computing resource group pond be computing resource group
One, find meet the three, the four, the 5th physical server configuration feature computing resource group pond be computing resource group two,
Arbitrarily select 2 physical servers to distribute cloud tenant in computing resource group one, accordingly, arbitrarily select in computing resource group two
3 physical servers distribute to cloud tenant, and this method of salary distribution compares traditional mode mated one by one obviously more flexible simplicity,
The computing resource of its cloud tenant's demand is more, and this kind of method of salary distribution effect is more obvious.And if it is currently assigned to the meter of cloud tenant
Calculating resource has inefficacy, then directly in addition select the computing resource configuration feature phase with this inefficacy from corresponding computing resource group
With or close other computational resource allocation to cloud tenant, do not affect the experience of the use computing resource of cloud tenant, raising is privately owned
The calculating service ability of cloud.
Wherein, the life cycle of computing resource refers to the life that enterprise is this computing resource when purchasing this computing resource
The beginning in cycle, purchases the computing resource completing and is stored in computing resource group pond, the IT assets as enterprise carry for cloud tenant
For calculating service, the buying time limit of this computing resource expires or after this computing resource scraps, the life cycle knot of this computing resource
Bundle.In addition, it is the beginning of life cycle it is impossible to be that the life cycle of computing resource also can refer to this computing resource when building and complete
Cloud tenant provides the end that calculating is life cycle after servicing.Here cloud tenant refer to each department of enterprises or each
There are corresponding cloud tenant, phase in subsidiary or the keeper of the specific peripheral departments related to enterprise, each department or subsidiary
When there being an authority using certain computing resource in each department or subsidiary, and the user using these computing resources can root
Set according to concrete condition.
It should be noted that：After distributing computing resource for cloud tenant, cloud tenant can only access the meter in quota strategy
Calculate resource, the computing resource in non-quota is invisible to cloud tenant.
In one embodiment, in the calculating money meeting its demand from the computing resource group finding out for cloud tenant distribution
Behind source, the authority according to cloud tenant creates user's group in this cloud tenant, and user's group at least includes a user.Distribute to this
The computing resource of cloud tenant is available for multiple users and uses, because the user in same department or same subsidiary is to computing resource
Demand is roughly the same, and therefore such distribution method is without one by one to multiple users distribution identical computing resource, Neng Gouti
The allocative efficiency of high private clound.Wherein it is desired to explanation, when this cloud tenant does not have quota strategy, in computing resource group pond
All computing resources all invisible to this cloud tenant, that is, this cloud tenant can not be using any calculating in this computing resource group pond
Resource.When certain the computing resource group in computing resource group pond does not have the quota strategy of corresponding cloud tenant, this computing resource
Computing resource in group is all invisible to all cloud tenants, and that is, any cloud tenant can not be using the calculating in this computing resource group
Resource.
Preferably, in one embodiment, in computing resource group pond, the computing resource group of storage includes physical computing resources
And virtual computing resource, step S300 includes：Extracts physical computing resource information and virtual computing money from computing resource information
Source information, searches computing resource group pond respectively according to physical computing resources information and institute's virtual computing resource information, find out with
The physical computing resources group of physical computing resources information match and the virtual computing money with virtual computing resource information match
Source group.
Physical computing resources group and the virtual computing resource group meeting cloud tenant's demand is found out from computing resource group pond,
So the demand to computing resource for the cloud tenant can be met from many aspects, improving private clound provides the ability of cloud computing service.
For example：The quota strategy of the generation in step S200：5 physical server/half a year, 5CPU/1T internal memories/1T storage
Capacity/1 year, when searching computing resource group in computing resource group pond, first carries from the computing resource information of cloud tenant application
Take physical computing resources information and virtual computing resource information, for example：The physical computing resources information obtaining is in 1CPU/1G
Deposit/1T memory capacity, according to this physical computing resources information searching computing resource group pond, search and obtain matching physics meter
Calculation resource group is physical computing resources group one, and is cloud tenant arbitrarily 5 physics clothes of distribution from this physical computing resources group one
Business device uses half a year；For example：The virtual computing resource information obtaining is 5CPU/1T internal memory/1T memory capacity, according to this virtual meter
Calculate resource information and search computing resource group pond, search and obtain matching virtual computing resource group for virtual computing resource group
One, and the quota strategy use one of 5CPU/1T internal memory/1T memory capacity is distributed from this virtual computing resource group one for cloud tenant
Year.So just can meet the demand to physical server for the cloud tenant and the demand of virtual server simultaneously.
Wherein it is desired to explanation, in the physical computing resources group being obtained according to physical computing resources information searching
When physical computing resources can not meet the quota strategy of cloud tenant, for example：Above-described embodiment medium cloud tenant needs in physical computing
Arbitrarily distribute 5 physical servers in resource group one to meet the quota strategy of cloud tenant, but in this physical computing resources group one
It is in inadequate 5 of the physical server of idle state, then can make a look up from the computing resource group pond of higher configuration further,
Or also can call the physical computing resources in the physical computing resources group of higher configuration feature, then or transfer this physical computing
Distribute to the physical computing resources of other cloud tenants in resource group, and share this physical computing resources in the way of time poll
To meet the quota strategy of cloud tenant etc. mode.
When according to virtual computing resource information searching virtual computing resource group, if having multiple full in computing resource group pond
The virtual computing resource group of this virtual computing resource information of foot, then select the most virtual computing resource group of idle computing resource,
If only one of which virtual computing resource group meets this virtual computing resource information, select this virtual computing resource group, if
Virtual computing resource in this virtual computing resource group can not meet above-mentioned virtual computing resource information, then with time period poll
Mode calls the virtual computing resource that other has distributed to other cloud tenants to be derived from the quota strategy meeting cloud tenant.
Certainly, the enterprise of physical computing resources need in some special enterprises, such as only be utilized, then in computing resource group pond
Then can only store physical computing resources, now only need to be gone out according to the physical computing resources information searching of cloud tenant application matched
Physical computing resources group；Certainly, in other Code in Hazardous Special Locations, also can only storage virtual computing provide in computing resource group pond
Source, now only need to find out matched virtual computing resource according to the virtual computing resource of cloud tenant application.Preferably, count
Calculate be stored with resource group pond physical computing resources group and virtual computing resource group, when in the computing resource information of cloud tenant application
Only physical computing resources information when, only search, in this computing resource group pond, the physical computing resources group meeting demand, work as cloud
When only having virtual computing resource information in the computing resource information of tenant's application, only searching to meet in this computing resource group pond needs
The virtual computing resource group asked.
In one embodiment, after for cloud tenant distribution computing resource, the distribution method of privately owned cloud computing resources is also
Including：
Judge whether the use time of the computing resource of cloud tenant application reaches period of validity；If so, discharge cloud tenant Shen
Computing resource please.If it is not, then continuing to distribute computing resource to cloud tenant.
Due to cloud tenant submit to application demand information when be have to application computing resource use time information (
Period of validity) it is therefore desirable to whether the use time of the computing resource to application for the monitoring cloud tenant expires, if not yet due, continue
Continue and distribute computing resource to cloud tenant, until the period of validity of application expires；If expired, withdraw cloud tenant application in time
Computing resource, the computing resource withdrawing is used as free computing resource for other clouds tenant, or stops purchasing this calculating money
Source, is so conducive to the cost that makes full use of and economize on resources of computing resource.
In one embodiment, after for cloud tenant distribution computing resource, the distribution method of privately owned cloud computing resources is also
Including：
S500, the utilization rate of the computing resource that real-time monitoring cloud tenant applies for it, and it is less than default utilization in utilization rate
Idle computing resource during rate, in the computing resource of release cloud tenant application.
After cloud tenant application computing resource, due to the difference of each department or subsidiary's business or use time, a certain
Not high to the utilization rate of the computing resource of application in the section time, in order to improve the utilization rate of resource, by the calculating of cloud tenant application
The idle computing resource not used of resource is released to free computing resource, and now other cloud tenants just can be using these releases
Free computing resource.
In one embodiment, after for cloud tenant distribution computing resource, the distribution method of privately owned cloud computing resources is also
Including：
The utilization rate of each computing resource in real-time monitoring computing resource group, forms the history report of each computing resource group utilization rate
Table.According to history report, background server just can know which computing resource uses frequent, and which computing resource uses is compared
Few, thus carrying out certain regulation and control between computing resource, on the premise of ensureing to meet cloud tenant's demand, improve computing resource
Utilization rate.Certainly, know which computing resource is the non-essential computing resource of cloud tenant also dependent on history report, thus
The non-essential computing resource of release cloud tenant application.
In one embodiment, referring to Fig. 3, before step S400, the distribution method of privately owned cloud computing resources also includes：
S300a, obtains the charging regulation of the computing resource group finding out, and wherein, also defines every in computing resource group pond
The charging regulation of individual computing resource group.
S300b, carries out charging according to quota strategy and charging regulation to the computing resource of the apllied private clound of cloud tenant,
Obtain quotation information.
S300c, determines whether to distribute the calculating money of cloud tenant application for cloud tenant according to quota strategy and/or quotation information
Source.
Traditional private clound is in the specific external user distribution computing resource for enterprises user or enterprise's correlation, past
Past is free supply, but the mode of free supply tends to bring the waste of resource, in order to solve gratuitously to supply calculating
Resource easily causes the problem of the wasting of resources, carries out charging to the computing resource of each department or subsidiary's application, thus on solving
State problem.
Specifically, after finding the computing resource group with computing resource information match applied for cloud tenant, obtain
Take the charging regulation of this computing resource group, in charging regulation including but not limited to computing resource group, unit computing resource is in unit
Interior Freight Basis, the computing resource of the varying number Freight Basis within the unit interval, unit computing resource is in different time
Freight Basis in section, the computing resource of the varying number Freight Basis in different time sections.Meter is included in quota strategy
Calculate quantity information and the use time information of resource, so just can obtain the quotation information of the computing resource of application.In a reality
Apply in example, after obtaining quotation information, this quotation information is pushed to cloud tenant, cloud tenant according to quotation information decision can be
No these computing resources of application, due to there being the restriction of quotation, on the premise of considering quotation factor, being bound to will not be random for cloud tenant
Application computing resource, thus reduce the waste of computing resource.
Certainly, quotation information and quota strategy can also without being pushed to cloud tenant, can background server automatically according to
Quotation information and quota strategy determine whether to the computing resource of cloud tenant distribution application.
Wherein, each computing resource group in computing resource group pond is divided into multiple grades according to configuration specification, for example：Draw
It is divided into high, medium and low Three Estate, configuration specification is higher, and higher grade, and corresponding valuation expense is also higher.
Specifically, prestore in background server the maximum that cloud tenant can apply for default quota strategy and/be
Cloud tenant sets maximum quotation on budge, and step S300c specifically includes：Whether S310c, judge quota strategy in default quota plan
Within slightly and/or whether quotation information is in quotation on budge, if so, then examination ＆ approval are passed through, and cloud tenant can apply for applying for it
Computing resource, if it is not, then examine not passing through, cloud tenant can not apply for the computing resource applied for it, needs cloud tenant again true
Its demand information fixed.Cloud tenant so can be limited very well without departing from budget, the use to computing resource has certain planning,
Be conducive to cost-effective for whole enterprise.
In one embodiment, after judging cloud tenant application success, i.e. examination ＆ approval are passed through afterwards, privately owned cloud computing resources
Distribution method also include：The expense of the computing resource of application is settled accounts according to quotation information from the quotation on budge of cloud tenant.
Cloud tenant is collected with certain expense, cloud tenant, in the case of considering cost element, will certainly economize on resources, carry
The high utilization rate to resource.Wherein, the mode of clearing includes but is not limited to cash settlement and inside transfers.
Preferably, in one embodiment, after judging cloud tenant application success, quotation information is pushed to cloud and rents
After family, and the confirmation of cloud tenant receiving waiting, settle accounts the expense of the computing resource of application from quotation on budge.
In order to improve Consumer's Experience during cloud tenant application computing resource, quotation information is pushed to cloud tenant, cloud tenant
Determine whether the computing resource that it is applied for is modified according to quotation information, it is to avoid rent for cloud after cloud tenant distribution computing resource
The demand information to computing resource is changed at family again, brings the trouble of operation.Simultaneously for fund untapped in quotation on budge
Cloud tenant can be distributed to, such cloud tenant itself just can maximum save resources.
One of ordinary skill in the art will appreciate that realizing all or part of flow process in above-described embodiment method, it is permissible
Instruct related hardware to complete by computer program, described program can be stored in a computer read/write memory medium
In, this program is upon execution, it may include as the flow process of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
In one embodiment, as shown in figure 4, present invention also offers a kind of distribution system of privately owned cloud computing resources,
This system includes：Demand information acquisition module 100, for obtaining the demand letter of the computing resource to private clound of cloud tenant input
Breath, wherein, demand information includes computing resource information and effective time information.Quota policy generation module 200, by according to based on
Calculate resource information and effective time information generates the quota strategy of cloud tenant, quota strategy includes cloud tenant to computing resource
Quantity required and period of validity.Searching modul 300, for according to computing resource information searching computing resource group pond, find out with
The computing resource group of computing resource information match, each computing resource in each computing resource group has same or like
Configuration feature.Distribute module 400, for arbitrarily selecting to meet cloud tenant within period of validity from the computing resource group finding out
The computational resource allocation of quantity required is to cloud tenant.
In the present embodiment, obtain the demand information to computing resource for the cloud tenant, information generates quota strategy according to demand, and
Find out the computing resource group of the computing resource performance meeting cloud tenant application in computing resource group pond, from the calculating finding out
The computing resource of quota strategy is met for cloud tenant distribution, due to each computing resource group in computing resource group pond in resource group
Divided by default rule of classification, that is, each computing resource in each computing resource group (provides meter in configuration feature
Calculate service ability same or like) on be close or identical, therefore, finding the meter with computing resource information match
After calculating resource group, the computing resource of respective numbers can be arbitrarily selected to meet cloud tenant application from this computing resource group
Quota strategy, the mode that its relatively conventional single computing resource is mated one by one is more practical, and even cloud tenant works as
The computing resource of front use lost efficacy, and also other computing resources can be selected at any time from this computing resource group to meet cloud tenant's
Demand, therefore for cloud tenant, also reliable, good cloud computing service can be provided for cloud tenant.
In one embodiment, this system also includes：Charging regulation acquisition module 300a, for from the calculating finding out
It is, before described cloud tenant distribution meets the computing resource of quota strategy, to obtain the meter of the computing resource group finding out in resource group
Take rule, wherein, in computing resource group pond, also define the charging regulation of each computing resource group；Quotation information obtains module
300b, for carrying out charging according to quota strategy and charging regulation to the computing resource of the apllied private clound of cloud tenant, obtains
Quotation information；Distribution determining module 300c, for determining whether to distribute institute for cloud tenant according to quota strategy and/or quotation information
State the computing resource of cloud tenant application.
In one embodiment, distribution determining module 300c includes：Whether judging unit 310c, for judging quota strategy
Within default quota strategy and/or whether quotation information is within quotation on budge；If so, then judge that cloud tenant applies for into
Work(, and enter distribute module 400；If it is not, then judging that cloud tenant applies for unsuccessfully.
In one embodiment, each computing resource in computing resource group pond is close according to the system configuration of computing resource
Or one of the rule identical, computing resource framework is close or identical, computing resource scale of price is consistent or combination are grouped into
The same or like computing resource group of configuration feature.
In one embodiment, searching modul 300 includes：Determining unit 310, for determining institute according to computing resource information
State the configuration feature of the required computing resource of cloud tenant.First searching unit 320, if calculate money for cloud tenant to described
The quantity required in source is single, then find out the configuration feature phase with the computing resource of cloud tenant's demand from computing resource group pond
The computing resource group of coupling.Judging unit 330, if being multiple for cloud tenant to the quantity required of computing resource, judges
Whether the configuration feature of multiple computing resources of cloud tenant's demand is identical.Second searching unit 340, if for cloud tenant's demand
Multiple computing resources configuration feature identical, then find out the multiple meters with described cloud tenant's demand from computing resource group pond
Calculate the computing resource group that the configuration feature of resource matches.3rd searching unit 350, if by cloud tenant's demand multiple based on
The configuration feature calculating resource is different, then find out, from computing resource group pond, the calculating meeting different computing resource configuration feature respectively
Resource group.
In one embodiment, distribute module 400 includes：First allocation unit 410, in the first searching unit 320
Find out the computing resource group matching with the configuration feature of the computing resource of cloud tenant's demand from computing resource group pond after,
Arbitrarily select a computational resource allocation to cloud tenant within period of validity from the computing resource group finding out.Second distribution is single
Unit 420, for finding out the multiple calculating moneys with described cloud tenant's demand from computing resource group pond in the second searching unit 340
After the computing resource group that the configuration feature in source matches, arbitrarily select from the computing resource group finding out within period of validity
The computational resource allocation of cloud tenant's quantity required is to cloud tenant.3rd allocation unit 430, for the 3rd searching unit 350 from
After computing resource group pond finds out the computing resource group meeting different computing resource configuration feature respectively, within period of validity from
The computing resource of cloud tenant quantity required in corresponding computing resource group is arbitrarily selected in each computing resource group finding out
Distribute to cloud tenant.
In one embodiment, this system also includes：Monitoring modular 500, for for cloud tenant distribution computing resource it
Afterwards, the utilization rate of the computing resource that real-time monitoring cloud tenant applies for it, and when utilization rate is less than default utilization rate, discharge cloud
Idle computing resource in the computing resource of tenant's application.
Because the principle of this system solve problem is similar to a kind of aforementioned distribution method of privately owned cloud computing resources, therefore should
The enforcement of system may refer to the enforcement of preceding method, repeats no more in place of repetition.
Each technical characteristic of embodiment described above can arbitrarily be combined, for making description succinct, not to above-mentioned reality
The all possible combination of each technical characteristic applied in example is all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all it is considered to be the scope of this specification record.
Embodiment described above only have expressed the several embodiments of the present invention, and its description is more concrete and detailed, but simultaneously
Can not therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
Say, without departing from the inventive concept of the premise, some deformation can also be made and improve, these broadly fall into the protection of the present invention
Scope.Therefore, the protection domain of patent of the present invention should be defined by claims.
Claims (12)
1. a kind of distribution method of privately owned cloud computing resources is it is characterised in that described distribution method includes：
Obtain the demand information of the computing resource to private clound of cloud tenant input, wherein, described demand information includes calculating money
Source information and effective time information；
Generate the quota strategy of described cloud tenant, described quota plan according to described computing resource information and described effective time information
Slightly include described cloud tenant to the quantity required of computing resource and period of validity；
According to described computing resource information searching computing resource group pond, find out configuration feature and described computing resource information phase
The computing resource group joined, each computing resource in each described computing resource group has same or like configuration feature；
Arbitrarily select to meet the computing resource of described quantity required within described period of validity from the computing resource group finding out
Distribute to described cloud tenant.
2. privately owned cloud computing resources according to claim 1 distribution method it is characterised in that described in the described term of validity
The computational resource allocation meeting described cloud tenant's quantity required arbitrarily be selected to described from the computing resource group finding out in limit
Before the step of cloud tenant, described distribution method also includes：
The charging regulation of the computing resource group finding out described in acquisition, wherein, also defines each in described computing resource group pond
The charging regulation of computing resource group；
According to described quota strategy and described charging regulation, the computing resource of the apllied private clound of described cloud tenant is counted
Take, obtain quotation information；
Determined whether for described cloud tenant distribution described cloud tenant application according to described quota strategy and/or described quotation information
Described computing resource.
3. privately owned cloud computing resources according to claim 2 distribution method it is characterised in that described according to described quota
Tactful and/or described quotation information determines whether the step of the described computing resource for described cloud tenant distribution described cloud tenant application
Rapid inclusion：
Judge described quota strategy whether within default quota strategy and/or described quotation information whether quotation on budge it
Interior；
If so, then judge that described cloud tenant applies for successfully, and to execute described be that described cloud is rented from the computing resource group finding out
The step that family distribution meets the computing resource of described quota strategy；
If it is not, then judging that described cloud tenant applies for unsuccessfully.
4. the distribution method of privately owned cloud computing resources according to claim 1 is it is characterised in that described computing resource group pond
In each computing resource according to computing resource system configuration close or identical, computing resource framework is close or identical, calculate
One of consistent rule of resource price grade or combination are grouped into the same or like computing resource group of configuration feature.
5. privately owned cloud computing resources according to claim 1 distribution method it is characterised in that described according to described calculating
Resource information searches computing resource group pond, finds out the computing resource group with described computing resource information match, and described
Arbitrarily select to meet the calculating money of described cloud tenant's quantity required within described period of validity from the computing resource group finding out
The step that described cloud tenant is distributed in source includes：
Determine the configuration feature of described required computing resource according to described computing resource information；
If described cloud tenant is single to the quantity required of described computing resource, find out from described computing resource group pond
The computing resource group matching with the configuration feature of the computing resource of described cloud tenant's demand, and from looking within described period of validity
A computational resource allocation arbitrarily be selected to described cloud tenant in the computing resource group found out；
If described cloud tenant is multiple to the quantity required of described computing resource, judge multiple meters of described cloud tenant's demand
Whether the configuration feature calculating resource is identical；If identical, find out from described computing resource group pond and described cloud tenant's demand
Multiple computing resources the computing resource group that matches of configuration feature, and from the calculating money finding out within described period of validity
The computational resource allocation arbitrarily selecting described cloud tenant's quantity required in the group of source is to described cloud tenant；If it is different, then respectively from institute
State computing resource group pond and find out the computing resource group matching from different configuration feature, and from lookup within described period of validity
The computing resource of described cloud tenant quantity required in corresponding computing resource group is arbitrarily selected in each computing resource group going out
Distribute to described cloud tenant.
6. the distribution method of privately owned cloud computing resources according to claim 1 is it is characterised in that dividing for described cloud tenant
After joining computing resource, described distribution method also includes：
The utilization rate of the computing resource that cloud tenant described in real-time monitoring applies for it, and it is less than default utilization rate in described utilization rate
When, the idle computing resource in the computing resource of release described cloud tenant application.
7. a kind of distribution system of privately owned cloud computing resources is it is characterised in that described distribution system includes：
Demand information acquisition module, for obtaining the demand information of the computing resource to private clound of cloud tenant input, wherein, institute
State demand information and include computing resource information and effective time information；
Quota policy generation module, for generating described cloud tenant according to described computing resource information and described effective time information
Quota strategy, described quota strategy includes described cloud tenant to the quantity required of computing resource and period of validity；
Searching modul, for according to described computing resource information searching computing resource group pond, finding out and described computing resource letter
The computing resource group of manner of breathing coupling, it is special that each computing resource in each described computing resource group has same or like configuration
Property；
Distribute module, for arbitrarily selecting to meet described demand number within described period of validity from the computing resource group finding out
The computational resource allocation of amount gives described cloud tenant.
8. the distribution system of privately owned cloud computing resources according to claim 7 is it is characterised in that described distribution system is also wrapped
Include：
Charging regulation acquisition module, for from the computing resource group finding out to be that described cloud tenant distribution meets described described
Before the computing resource of quota strategy, the charging regulation of the computing resource group finding out described in acquisition, wherein, described computing resource
The charging regulation of each computing resource group is also defined in group pond；
Quotation information obtains module, for the apllied private to described cloud tenant according to described quota strategy and described charging regulation
The computing resource having cloud carries out charging, obtains quotation information；
Distribution determining module, for determining whether to divide for described cloud tenant according to described quota strategy and/or described quotation information
Join the described computing resource of described cloud tenant application.
9. the distribution system of privately owned cloud computing resources according to claim 8 is it is characterised in that described distribution determining module
Including：
Whether judging unit, for judging described quota strategy within default quota strategy and/or described quotation information is
No within quotation on budge；If so, then judge that described cloud tenant applies for successfully, and enter described distribute module；If it is not, then judging
Described cloud tenant applies for unsuccessfully.
10. according to claim 7 the distribution system of privately owned cloud computing resources it is characterised in that described computing resource group pond
In each computing resource according to computing resource system configuration close or identical, computing resource framework is close or identical, calculate
One of consistent rule of resource price grade or combination are grouped into the same or like computing resource group of configuration feature.
The distribution system of 11. privately owned cloud computing resources according to claim 7 is it is characterised in that described searching modul bag
Include：
Determining unit, the configuration for determining the required computing resource of described cloud tenant according to described computing resource information is special
Property；
First searching unit, if being single for described cloud tenant to the quantity required of described computing resource, from described meter
Calculate and in resource group pond, find out the computing resource group matching with the configuration feature of the computing resource of described cloud tenant's demand；
Judging unit, if being multiple for described cloud tenant to the quantity required of described computing resource, judges that described cloud is rented
Whether the configuration feature of multiple computing resources of family demand is identical；
Second searching unit, if the configuration feature for multiple computing resources of described cloud tenant's demand is identical, from described
The computing resource matching with the configuration feature of multiple computing resources of described cloud tenant's demand is found out in computing resource group pond
Group；
3rd searching unit, if the configuration feature for multiple computing resources of described cloud tenant's demand is different, from described
Computing resource group pond finds out the computing resource group meeting different computing resource configuration feature respectively；
Described distribute module includes：
First allocation unit, for finding out and described cloud tenant from described computing resource group pond in described first searching unit
After the computing resource group that the configuration feature of the computing resource of demand matches, from the calculating finding out within described period of validity
A computational resource allocation arbitrarily be selected to described cloud tenant in resource group；
Second allocation unit, for finding out and described cloud tenant from described computing resource group pond in described second searching unit
After the computing resource group that the configuration feature of multiple computing resources of demand matches, from finding out within described period of validity
The computational resource allocation arbitrarily selecting described cloud tenant's quantity required in computing resource group is to described cloud tenant；
3rd allocation unit, by described 3rd searching unit from described computing resource group pond find out respectively meet difference based on
After calculating the computing resource group of resource distribution characteristic, within described period of validity from each computing resource group finding out arbitrarily
The computational resource allocation selecting described cloud tenant quantity required in corresponding computing resource group is to described cloud tenant.
The distribution system of 12. privately owned cloud computing resources according to claim 7 it is characterised in that described distribution system also
Including：
Monitoring modular, for, after for described cloud tenant distribution computing resource, described in real-time monitoring, cloud tenant applies for it
The utilization rate of computing resource, and when described utilization rate is less than default utilization rate, the computing resource of release described cloud tenant application
In idle computing resource.
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