CN109710484A - Method of adjustment, device and the computer readable storage medium of equipment energy consumption - Google Patents
Method of adjustment, device and the computer readable storage medium of equipment energy consumption Download PDFInfo
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- CN109710484A CN109710484A CN201711004490.2A CN201711004490A CN109710484A CN 109710484 A CN109710484 A CN 109710484A CN 201711004490 A CN201711004490 A CN 201711004490A CN 109710484 A CN109710484 A CN 109710484A
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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
Abstract
The present disclosure discloses a kind of method of adjustment of equipment energy consumption, device and computer readable storage mediums, are related to field of computer technology.Disclosed method includes: the energy consumption of monitoring device, and equipment includes independent server or server cluster；In the case where the energy consumption of equipment is more than to bind threshold value, the resource allocation sequence of each virtual machine is determined according to the operating condition of the corresponding each virtual machine of equipment；The virtual resource performance of each virtual machine is successively reduced according to the resource allocation of each virtual machine sequence, until the energy consumption of equipment is lower than the threshold value that binds.The scheme of the disclosure determines the allotment sequence of resources of virtual machine with reference to the operating condition of virtual machine, the energy consumption of equipment is reduced by being sequentially adjusted in the virtual resource performance of each virtual machine, the influence to important virtual machine performance is reduced, the control efficiency of server energy consumption is improved.
Description
Technical field
This disclosure relates to field of computer technology, in particular to a kind of method of adjustment of equipment energy consumption, device and calculating
Machine readable storage medium storing program for executing.
Background technique
Server energy consumption capping technology is to guide specific action when system power is more than preset power consumption upper limit value,
Physical cpu frequency is such as reduced, to guarantee the reasonable distribution of server overall power.Server energy consumption capping technology is realized to clothes
Being precisely controlled for business device energy consumption, avoids the excessive supply of the energy, effectively the part energy excessively supplied is used in data
Heart dilatation.
Summary of the invention
Inventor's discovery: with the development of virtualization technology, virtualized server is more and more.Same physical server
More virtual machines can be configured, different virtual machine importance is different, and virtual resource allocation is different.Previous server energy consumption binds
When technical application is to virtualized server, the performance for directly reducing the physical resources such as physical cpu frequency of complete machine be will cause at this
All virtual machine performances decline in physical machine, may influence the performance of the virtual machine of carrying core business, and then influence service
Device overall performance reduces the control efficiency of server energy consumption.
A disclosure technical problem to be solved is: how is reduced while adjusting equipment energy consumption to important virtual
The influence of machine performance improves the control efficiency of server energy consumption.
According to some embodiments of the present disclosure, a kind of method of adjustment of the equipment energy consumption provided, comprising: the energy of monitoring device
Consumption, equipment includes independent server or server cluster；In the case where the energy consumption of equipment is more than to bind threshold value, according to equipment
The operating condition of corresponding each virtual machine determines the resource allocation sequence of each virtual machine；According to the resource tune of each virtual machine
Sequence ligand successively reduces the virtual resource performance of each virtual machine, until the energy consumption of equipment is lower than the threshold value that binds.
In some embodiments, in the case where equipment is server cluster, the operating condition of virtual machine includes virtual machine
In software and virtual machine where server power dissipation ratio of performance, software includes being currently running or mounted software；According to setting
The operating condition of standby corresponding each virtual machine determines that the resource allocation sequence of each virtual machine includes: corresponding each according to equipment
The power dissipation ratio of performance of server determines the guarantor of each virtual machine where the guarantee priority and virtual machine of software in platform virtual machine
Hinder priority, wherein the guarantee priority of software is higher in virtual machine, and the power dissipation ratio of performance of place server is higher, this is virtual
The guarantee priority of machine is higher；It is set as the resource allocation sequence of each virtual machine to ensure the sequence of priority from low to high.
In some embodiments, the virtual resource performance of virtual machine is reduced using following methods: determining the energy of current device
Consume and bind the energy consumption difference of threshold value；According to each virtual machine history with the guarantor of period virtual resource state and each virtual machine
Hinder priority and energy consumption difference is distributed into each virtual machine, determines the corresponding target energy consumption adjusted value of each virtual machine, wherein go through
History with period virtual resource state include: history with period virtual resource performance and history with period virtual resource utilization rate, go through
History is bigger with period resource utilization and the gap of Current resource utilization rate, ensures the target energy consumption of the lower virtual machine of priority
Adjusted value is higher；For every virtual machine, the virtual money of the virtual machine is reduced according to the corresponding target energy consumption adjusted value of virtual machine
Source performance, so that the energy consumption reduction amount of equipment reaches the corresponding target energy consumption adjusted value of the virtual machine；Virtual resource includes: virtual
At least one of CPU, in virtual memory, virtual hard disk and Microsoft Loopback Adapter.
In some embodiments, the virtual resource performance of virtual machine is reduced using following methods: it is same to obtain virtual machine history
Period virtual resource state；According to virtual machine history with period virtual resource state, the virtual resource performance of virtual machine is reduced；Its
In, history, which includes: history with period virtual resource state, to be utilized with period virtual resource performance and history with period virtual resource
At least one of rate, virtual resource include: virtual cpu, in virtual memory, virtual hard disk and Microsoft Loopback Adapter.
In some embodiments, the virtual resource of virtual machine is reduced with period virtual resource state according to virtual machine history
Performance includes: successively to reduce for each virtual machine according to the utilization rate sequence from low to high of current every virtual resource
The performance of virtual machine items virtual resource.
In some embodiments, the virtual resource of virtual machine is reduced with period resource utilization according to virtual machine history
It can include: successively to reduce virtual machine according to the utilization rate sequence from low to high of current every resource for each virtual machine
The performance of every virtual resource, wherein the utilization rate of virtual machine items resource is the utilization according to history with period items resource
What rate was reduced；At least one of resource includes: virtual cpu, in virtual memory, virtual hard disk and Microsoft Loopback Adapter.
In some embodiments, the virtual resource of virtual machine is reduced with period virtual resource state according to virtual machine history
Performance includes: to obtain the currently running main steps of virtual machine；Determine items virtual resource to the influence degree of main steps；Needle
To each virtual machine, according to the property for successively reducing every virtual resource to the sequence of main steps influence degree from low to high
Energy.
According to other embodiments of the disclosure, a kind of adjustment device of the equipment energy consumption provided, comprising: energy consumption monitoring mould
Block, for the energy consumption of monitoring device, equipment includes independent server or server cluster；Allotment sequence determining module, is used for
In the case where the energy consumption of equipment is more than to bind threshold value, each void is determined according to the operating condition of the corresponding each virtual machine of equipment
The resource allocation sequence of quasi- machine；Resource allocation module, for successively reducing each according to the resource allocation sequence of each virtual machine
The virtual resource performance of virtual machine, until the energy consumption of equipment is lower than the threshold value that binds.
In some embodiments, the operating condition of virtual machine includes the software in virtual machine, and software includes being currently running
Software or mounted software；Allotment sequence determining module is used for the guarantee according to the software in the corresponding each virtual machine of equipment
Priority determines the guarantee priority of each virtual machine, by the resource allocation sequence of each virtual machine be set as ensureing priority by
Low to high sequence.
In some embodiments, in the case where equipment is server cluster, the operating condition of virtual machine includes virtual machine
In software and virtual machine where server power dissipation ratio of performance, software includes being currently running or mounted software；It deploys suitable
Sequence determining module is used for according to server where the guarantee priority and virtual machine of the software in the corresponding each virtual machine of equipment
Power dissipation ratio of performance determine the guarantee priority of each virtual machine, the resource allocation sequence of each virtual machine is set as ensureing excellent
The sequence of first grade from low to high, wherein the guarantee priority of software is higher in virtual machine, and the power dissipation ratio of performance of place server is got over
The guarantee priority of height, the virtual machine is higher.
In some embodiments, resource allocation module is for determining that the energy consumption of the energy consumption and the threshold value that binds of current device is poor
Value divides energy consumption difference with period virtual resource state and the guarantee priority of each virtual machine according to each virtual machine history
Each virtual machine of dispensing determines the corresponding target energy consumption adjusted value of each virtual machine, for every virtual machine, according to virtual machine pair
The target energy consumption adjusted value answered reduces the virtual resource performance of the virtual machine, so that the energy consumption reduction amount of equipment reaches the virtual machine
Corresponding target energy consumption adjusted value；Wherein, history with period virtual resource state include: history with period virtual resource performance and
For history with period virtual resource utilization rate, history is bigger with period resource utilization and the gap of Current resource utilization rate, ensures
The target energy consumption adjusted value of the lower virtual machine of priority is higher, and virtual resource includes: virtual cpu, virtual memory, virtual hard disk
With at least one in Microsoft Loopback Adapter.
In some embodiments, resource allocation module is for obtaining virtual machine history with period virtual resource state, according to
Virtual machine history reduces the virtual resource performance of virtual machine with period virtual resource state；Wherein, history is the same as period virtual resource
State include: history with period virtual resource performance and history with period virtual resource utilization rate, virtual resource includes: virtual
At least one of CPU, in virtual memory, virtual hard disk and Microsoft Loopback Adapter.
In some embodiments, resource allocation module is used to be directed to each virtual machine, according to current every virtual resource
Utilization rate sequence from low to high successively reduce the performance of virtual machine items virtual resource.
In some embodiments, resource allocation module determines every for obtaining the currently running main steps of virtual machine
Virtual resource is to the influence degrees of main steps, for each virtual machine, according to main steps influence degree from low to high
Sequence successively reduce the performance of every virtual resource.
According to the other embodiment of the disclosure, a kind of adjustment device of the equipment energy consumption provided, comprising: memory；With
And it is coupled to the processor of memory, processor is configured as executing based on the instruction being stored in memory devices as aforementioned
The method of adjustment of equipment energy consumption in any one embodiment.
According to the other embodiment of the disclosure, a kind of computer readable storage medium provided is stored thereon with calculating
Machine program, wherein the program realizes the method for adjustment of the equipment energy consumption in any one aforementioned embodiment when being executed by processor
Step.
The energy consumption of monitoring device in the disclosure, it is corresponding according to equipment in the case where the energy consumption of equipment is more than to bind threshold value
The operating condition of each virtual machine determine the resource allocation sequence of each virtual machine, and be sequentially adjusted according to resource allocation sequence
The virtual resource performance of each virtual machine, is reduced to the energy consumption of equipment under the threshold value that binds.The scheme of the disclosure refers to
The operating condition of virtual machine determines the allotment sequence of resources of virtual machine, by the virtual resource for being sequentially adjusted in each virtual machine
The energy consumption of equipment can be reduced, reduce the influence to important virtual machine performance, improve the control efficiency of server energy consumption.
By the detailed description referring to the drawings to the exemplary embodiment of the disclosure, the other feature of the disclosure and its
Advantage will become apparent.
Detailed description of the invention
In order to illustrate more clearly of the embodiment of the present disclosure or technical solution in the prior art, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Disclosed some embodiments for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 shows the flow diagram of the method for adjustment of the equipment energy consumption of some embodiments of the present disclosure.
Fig. 2 shows the flow diagrams of the method for adjustment of the equipment energy consumption of other embodiments of the disclosure.
Fig. 3 shows the structural schematic diagram of the adjustment device of the equipment energy consumption of some embodiments of the present disclosure.
Fig. 4 shows the structural schematic diagram of the adjustment device of the equipment energy consumption of other embodiments of the disclosure.
Fig. 5 shows the structural schematic diagram of the adjustment device of the equipment energy consumption of the other embodiment of the disclosure.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present disclosure, the technical solution in the embodiment of the present disclosure is carried out clear, complete
Site preparation description, it is clear that described embodiment is only disclosure a part of the embodiment, instead of all the embodiments.Below
Description only actually at least one exemplary embodiment be it is illustrative, never as to the disclosure and its application or making
Any restrictions.Based on the embodiment in the disclosure, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, belong to the disclosure protection range.
The disclosure provides a kind of method of adjustment of equipment energy consumption, and the equipment of the disclosure includes independent server or server
Cluster describes setting for the disclosure separately below by taking independent server and server cluster as an example and respectively in connection with Fig. 1 and Fig. 2
Some embodiments of the method for adjustment of standby energy consumption.
Fig. 1 is the flow chart of some embodiments of method of adjustment of disclosure equipment energy consumption.As shown in Figure 1, in the embodiment
Equipment is independent server, and the method for the embodiment includes: step S102~S106.
Step S102, the energy consumption of monitoring server.
For example, passing through IPMI (Intelligent Platform Management Interface, intelligent platform management
Interface) or Redfish (snapper) interface from BMC (the Baseboard Management of the server where the virtual machine
Controller, baseboard management controller) obtain power consumption values.By the current energy consumption of the server of monitoring and the preset threshold value that binds
It is compared, if current energy consumption is less than the threshold value that binds, continues to monitor, otherwise, execute step S104.
Step S104, in the case where the energy consumption of server is more than to bind threshold value, according to server it is corresponding each it is virtual
The operating condition of machine determines the resource allocation sequence of each virtual machine.
In some embodiments, the guarantor of each virtual machine is determined according to the operating condition of the corresponding each virtual machine of server
Hinder priority, the resource allocation sequence of each virtual machine is set as ensureing the sequence of priority from low to high, i.e. guarantee priority
Lower resources of virtual machine allotment sequence is more forward.The guarantee priority of each virtual machine can also be preset according to actual needs.
Further, the operating condition of virtual machine may include the software in virtual machine, software include be currently running software or
Mounted software, it can the guarantee priority that virtual machine is determined with reference to the software being currently running in virtual machine can also join
Examine in virtual machine and installed (including be currently running and not running) software determine the guarantee priority of virtual machine.
The acquisition methods of software can pass through vmrun by taking VMware virtualization scheme as an example in virtual machine
ListProcessesInGuest order obtains the process run in virtual machine, and the process that is currently running, which corresponds to, to be currently running
Software.Such as the process transported in win2008.vmx virtual machine is checked by user name admin and password admin123, it obtains
Take the order of whole processes as follows: vmrun-T ws-gu admin-gp admin123listProcessesInGuest "
win2008.vmx".The listed files installed in virtual machine can also be searched by operation vmrun fileExistsInGuest,
The software installed in virtual machine is determined according to listed files title.
Further, it is possible to the classification of predetermined software, different guarantee priority is set for the software of different classifications, then it can be with
The guarantee priority of each virtual machine is determined according to the guarantee priority of software in virtual machine.For example, software is divided into database
Type (including the databases such as Oracle, MySQL, SQL Server), application system class (such as web middleware, mail service
Device), operating system class, the guarantee priority of different types of software from high to low may be used are as follows: type of database > application system class
Type > OS Type.In addition to the implementation,
Different guarantee priority can also be set for specific software according to actual needs.It can be by the guarantor of each software
Barrier priority is stored in software level priority list, and it is preferential to transfer software in the case where the energy consumption of server is more than to bind threshold value
Grade list, the guarantee priority of virtual machine is determined according to the software in each virtual machine.
The guarantee priority for the software being currently running is higher, and the guarantee priority of virtual machine is higher.It is soft what is be currently running
In the identical situation of guarantee priority of part, installs but the guarantee priority of the software of not running is higher, the guarantee of virtual machine
Priority is higher.History run can also be referred to, judges the software that subsequent period virtual machine may be run, subsequent period can
The guarantee priority for the software that can be run is higher, and the guarantee priority of virtual machine is higher.
Step S106 successively reduces the virtual resource of each virtual machine according to the resource allocation of each virtual machine sequence
Can, until the energy consumption of server is lower than the threshold value that binds.
The virtual resource of virtual machine is for example including virtual cpu (vCPU), virtual memory (vMemory), virtual hard disk
At least one of (vDisk) and in Microsoft Loopback Adapter.VCPU performance mainly has with vCPU nucleus number, vCPU frequency, frequency limit, share
It closes.The vCPU utilization rate of virtual machine is reduced, it can be mainly by reducing vCPU nucleus number, reduction vCPU frequency, the frequency for adjusting vCPU
Frequency limit value is accordingly adjusted after rate, share can corresponding change after vCPU nucleus number and the adjustment of vCPU frequency.VMemory performance with it is interior
Deposit that capacity, frequency, frequency limit, share are related, the utilization rate for reducing vMemory can also be using the similar vCPU performance that reduces
Mode is realized.
The virtual resource performance that each virtual machine is successively reduced since ensureing the minimum virtual machine of priority, whenever to one
When platform virtual machine executes the operation for reducing virtual resource performance, whether the energy consumption of monitoring server is lower than the threshold value that binds, if
When completing to reduce the operation of virtual resource performance to current virtual machine, the energy consumption of server is also above the threshold value that binds, then continues
The operation for reducing virtual resource performance is executed to next virtual machine, if the energy consumption of server stops lower than the threshold value that binds
Resource allocation.
How much every virtual machine is closed virtual resource reduced performance when executing the operation for reducing virtual resource performance
It is suitable, for this problem, some embodiments are described below.
In some embodiments, firstly, obtain the current virtual resource utilization of virtual machine, current virtual resource performance,
History is the same as period virtual resource state.History with period virtual resource state include history with period virtual resource utilization rate and
History is the same as period virtual resource performance.It can recorde the virtual resource utilization rate and virtual resource performance of each virtual machine history.
The virtual resource utilization rate of history day part can be in average resource or history day part in history day part
Highest resource utilization,
For example, in the past one month of statistics, the average resource or highest of the virtual machine between daily 8 points to 9 points
Resource utilization.Likewise, history day part virtual resource performance also may include mean virtual resource in history day part
It can be with lowest virtual resource performance in history day part.The resource that the resource utilization of history can reflect virtual machine uses feelings
Condition.
Secondly, reducing the virtual resource performance of virtual machine with period virtual resource state according to virtual machine history.If empty
A current virtual resource utilization rate of quasi- machine with period this virtual resource utilization rate, then adjusts this and virtually provides lower than history
The performance in source.Optionally, by history with the various performance parameters of the virtual resource of period and with the virtual resource of period
The product of the various performance parameters of current this virtual resource is adjusted to and standard value phase by the product of utilization rate as standard value
Deng.
For example, history is 4 cores, frequency 3GHz, utilization rate 50%, the core of current vCPU with the nucleus number of the vCPU of period
Number is 4 cores, and frequency 3GHz, utilization rate is lower than 50%.The product of the nucleus number of current vCPU and frequency is adjusted to 4 × 3 ×
50%=6.Further, since the adjustment of the nucleus number of vCPU is affected for process, the frequency of vCPU, example can preferentially be adjusted
Such as, the frequency of current vCPU is adjusted to 1.5GHz.The adjustment priority of various performance parameters can also be preset according to demand.It adjusts
After a whole performance parameter, whether can be lower than the threshold value that binds with the energy consumption of monitoring server, and then determine whether to the next item down
Energy parameter is adjusted.
Using the resource service condition of history virtual resource state reflection virtual machine in above-described embodiment, with further reference to going through
History virtual resource state adjusts the current virtual resource performance of virtual machine, is capable of the energy consumption of significantly more efficient adjustment server, and
And reduce the influence of the virtual machine to processing vital task.
In some embodiments, it may further determine that the reduction sequence of virtual machine items virtual resource.For each
Virtual machine successively reduces virtual machine items virtual resource according to the utilization rate sequence from low to high of current every virtual resource
Performance, until the energy consumption of server is lower than the threshold value that binds.The performance of virtual machine items virtual resource can be according to the history same period
Virtual resource state is reduced.For example, the virtual resource behavior pattern of current virtual machine is the utilization rate 10% of vCPU,
The utilization rate that the utilization rate of vMemory is 70%, vDisk is 50%, the preferential performance for reducing vCPU, followed by vDisk, finally
It is only virtual memory.
Often for a virtual resource reduced performance of virtual machine after, can the energy consumption of monitoring server whether be lower than envelope
Threshold value is pushed up, does not need again to reduce other virtual resource performances if lower than the threshold value that binds.
The method of above-described embodiment, the low virtual resource importance of utilization rate is lower, according to every virtual resource utilization rate
Sequence from low to high successively reduces virtual resource performance, can further decrease the influence to virtual machine performance, effective to adjust
The energy consumption of whole server.
In some embodiments, virtual machine can also be referred to by determining when the reduction sequence of virtual machine items virtual resource performance
Currently running main steps.The currently running main steps of virtual machine are obtained, determine items virtual resource to main steps
Influence degree successively reduces every void according to the sequence of main steps influence degree from low to high for each virtual machine
The performance of quasi- resource.
For example, the process run in virtual machine is obtained by vmrun listProcessesInGuest order, if
The main steps of current virtual machine are the process of apache, since the service of apache depends on vCPU and vMemory, therefore
It is preferred that guaranteeing vCPU and vMemory performance, vDisk performance is first reduced.
It, can be with reference to history with the virtual resource shape of period when being reduced to the performance of each virtual resource of virtual machine
State.Often for a virtual resource reduced performance of virtual machine after, can the energy consumption of monitoring server whether be lower than the threshold that binds
Value does not need again to reduce other virtual resource performances if lower than the threshold value that binds.
The method of above-described embodiment determines the reduction of items virtual resource performance according to the main steps that virtual machine is run
Sequentially, the influence to main steps is reduced, so that the influence to virtual machine performance is further decreased, effective adjustment server
Energy consumption.
In some embodiments, it can also determine that the reduction of virtual machine items virtual resource performance is suitable according to actual needs
Sequence.
In some embodiments, reduced power consumption values can also be needed to distribute to each virtual machine, virtual machine server
The adjustment of virtual resource performance is carried out according to distribution.Firstly, determining the energy consumption difference of the energy consumption and the threshold value that binds of current server.
The energy consumption difference is to need the power consumption values of the server reduced by the virtual resource performance for reducing virtual machine.
Secondly, energy consumption difference is distributed to each virtual machine according to the guarantee priority of each virtual machine, each void is determined
The quasi- corresponding target energy consumption adjusted value of machine.Further, it is possible to which guarantee priority threshold value is arranged, ensure that priority is higher than the threshold value
Virtual machine can not reduce its virtual resource performance, to not distribute target energy consumption adjusted value for the virtual machine.For example, for not
Different priority weightings is set with the virtual machine for ensureing priority, is virtual machine distribution according to the ratio of virtual priority weight
The ratio of target energy consumption adjusted value, the target energy consumption adjusted value of each virtual machine distribution is equal to each virtual machine priority weight
Inverse ratio.
For example, server binds, threshold value is 300W, and current power consumption values are 340W, virtual machine priority on that server
Are as follows: the energy consumption difference of virtual machine A > virtual machine B > virtual machine C, current power consumption values and the threshold value that binds is 340W-300W=40W, will
When 40W is by ensureing that priority is distributed between virtual machine A, B, C, according to ensureing priority, the more mesh that is distributed of high priority
It is lower to mark energy consumption adjusted value.Such as according to priority size is ensured, target energy consumption adjusted value is virtual machine A: virtual machine B: virtual machine C
=5W:10W:25W.After adjusting virtual machine, compare the practical of the server where the virtual machine can change whether reach target
Energy consumption adjusted value further decreases the virtual resource of the virtual machine if be also not up to reach target adjustment value.
Optionally, according to each virtual machine history with the guarantee priority of period virtual resource state and each virtual machine
The energy consumption difference is distributed into each virtual machine, determines the corresponding target energy consumption adjusted value of each virtual machine.The history same period
The gap of resource utilization and Current resource utilization rate is bigger, ensures the target energy consumption adjusted value of the lower virtual machine of priority more
It is high.For example, different priority weightings is arranged for the different virtual machines for ensureing priority, and calculate each virtual machine Current resource
Utilization rate and history with period resource utilization ratio, using priority weighting with the inverse of the product of ratio as corresponding void
Quasi- machine allocation proportion weight determines that each virtual machine is corresponding according to the ratio between the allocation proportion weight of each virtual machine
Target energy consumption adjusted value.
The method of above-described embodiment, according to the guarantee priority of virtual machine or according to the guarantee priority and history of virtual machine
Virtual resource utilization power distributes target energy consumption adjusted value for virtual machine, can effectively reduce the influence to important virtual machine, mention
The control efficiency of high server energy consumption.
In the various embodiments described above, every resource of virtual machine or virtual machine can be joined when carrying out utilization rate adjustment
Historical data is examined, and the gradually method of adjustment while monitoring server energy consumption can be taken, once the energy consumption drop of discovery server
As low as can then stop adjusting under the threshold value that binds.While reference history is with period virtual resource state, it can also refer to
The virtual resource performance of history subsequent period virtual machine.For example, historical statistics subsequent period virtual machine can execute it is important
Process, then the virtual resource state to the current virtual resource performance of the virtual machine with reference to history subsequent period reduces.
It, can also be in addition to the history virtual resource state of reference virtual machine is adjusted the virtual resource performance of virtual machine
By gradually adjusting virtual resource performance and monitoring the variation of currently running process, when the property to currently running main steps
It can produce bigger effect, then stop adjusting.
The energy consumption of the method monitoring server of above-described embodiment, in the case where the energy consumption of server is more than to bind threshold value,
The resource allocation sequence of each virtual machine is determined according to the operating condition of the corresponding each virtual machine of server, and according to resource tune
Sequence ligand is sequentially adjusted in the virtual resource performance of each virtual machine, is reduced to the energy consumption of server under the threshold value that binds.
The method of above-described embodiment determines the allotment sequence of resources of virtual machine with reference to the operating condition of virtual machine, each by being sequentially adjusted in
The virtual resource performance of platform virtual machine reduces the energy consumption of equipment, reduces the influence to important virtual machine performance, improves server
The control efficiency of energy consumption.
Fig. 2 is the flow chart of other embodiments of the method for adjustment of disclosure equipment energy consumption.As shown in Fig. 2, the embodiment
Middle equipment is server cluster, and the method for the embodiment includes: step S202~S206.
Step S202, the energy consumption of monitoring server cluster.
The current energy consumption of the server cluster of monitoring is compared with the preset threshold value that binds, if current energy consumption does not surpass
The threshold value that binds is crossed, then continues to monitor, otherwise, executes step S204.
Step S204, it is corresponding according to server cluster in the case where the energy consumption of server cluster is more than to bind threshold value
The operating condition of each virtual machine determines the resource allocation sequence of each virtual machine.
It can be with reference to the method in step S104 when the resource allocation sequence of each virtual machine in determining server cluster.
That is, the guarantee priority of each virtual machine is determined according to the operating condition of each virtual machine in server cluster first, each void
The resource allocation sequence of quasi- machine is set as ensureing the sequence of priority from low to high, the i.e. lower resources of virtual machine of guarantee priority
Allotment sequence is more forward.The guarantee priority of each virtual machine can also be preset according to actual needs.
The determination method of the guarantee priority of virtual machine can be with reference to the method in step S104.It further, can be with root
Each virtual machine is determined according to the power dissipation ratio of performance of server where the guarantee priority and virtual machine of the software in each virtual machine
Guarantee priority.The guarantee priority of software is higher in virtual machine, and the power dissipation ratio of performance of place server is higher, the virtual machine
Guarantee priority it is higher.That is, for the identical virtual machine of guarantee priority of software in virtual machine, where server
Power dissipation ratio of performance is higher, then the guarantee priority of the virtual machine is higher.
The power dissipation ratio of performance of server is bigger, illustrate server it is every consumption specific energy consumption can reach with performance it is higher, because
The server of this high-performance power dissipation ratio is relatively good in terms of energy conservation.The power dissipation ratio of performance of server can pass through test clothes by user
It is engaged in after the power dissipation ratio of performance data of device, is in advance the attribute of the server by the power dissipation ratio of performance data setting.Where virtual machine
Server performance power dissipation ratio it is higher, ensure priority it is higher.
Step S206 successively reduces the virtual resource of each virtual machine according to the resource allocation of each virtual machine sequence
Can, until the energy consumption of server cluster is lower than the threshold value that binds.
The method that the virtual resource performance of virtual machine is adjusted can only be needed with reference to the method in step S106
The energy consumption of entire cluster is monitored when adjusting virtual machine virtual resource performance and is no longer the energy consumption for monitoring individual server.
The method of above-described embodiment, when being monitored to the energy consumption of server cluster, for virtual machine each in cluster
Operating condition determines the resource allocation sequence of virtual machine, and the virtual money of each virtual machine is sequentially adjusted according to resource allocation sequence
Source performance.And be no longer that integrated regulation is carried out for certain server, it can reduce for important server or important virtual
The performance of machine influences, and improves the control efficiency of server cluster energy consumption.
The disclosure also provides a kind of adjustment device of equipment energy consumption, is described below with reference to Fig. 3.
Fig. 3 is the structure chart of the adjustment some embodiments of device of disclosure equipment energy consumption.As shown in figure 3, the embodiment
The adjustment device 30 of equipment energy consumption includes: energy consumption monitoring module 302, allotment sequence determining module 304, resource allocation module 306.
Energy consumption monitoring module 302, for the energy consumption of monitoring device, equipment includes independent server or server cluster.
Allotment sequence determining module 304, for being corresponded to according to equipment in the case where the energy consumption of equipment is more than to bind threshold value
Each virtual machine operating condition determine each virtual machine resource allocation sequence.
In some embodiments, the operating condition of virtual machine includes the software in virtual machine, and software includes being currently running
Software or mounted software.Allotment sequence determining module 304 is used for according to the software in the corresponding each virtual machine of equipment
It ensures that priority determines the guarantee priority of each virtual machine, the resource allocation sequence of each virtual machine is set as ensureing preferential
The sequence of grade from low to high.
In some embodiments, in the case where equipment is server cluster, the operating condition of virtual machine includes virtual machine
In software and virtual machine where server power dissipation ratio of performance, software includes being currently running or mounted software.
Allotment sequence determining module 304 be used for according to the guarantee priority of the software in the corresponding each virtual machine of equipment and
The power dissipation ratio of performance of server determines the guarantee priority of each virtual machine where virtual machine, by the resource allocation of each virtual machine
Sequence is set as ensureing the sequence of priority from low to high.The guarantee priority of software is higher in virtual machine, place server
Power dissipation ratio of performance is higher, and the guarantee priority of the virtual machine is higher.
Resource allocation module 306, for successively reducing each virtual machine according to the resource allocation sequence of each virtual machine
Virtual resource performance, until the energy consumption of equipment is lower than the threshold value that binds.
In some embodiments, resource allocation module 306 is used to determine the energy consumption of the energy consumption and the threshold value that binds of current device
Difference.According to each virtual machine history with period virtual resource state and the guarantee priority of each virtual machine by energy consumption difference
Distribute to each virtual machine.Determine the corresponding target energy consumption adjusted value of each virtual machine.For every virtual machine, according to virtual machine
Corresponding target energy consumption adjusted value reduces the virtual resource performance of the virtual machine, so that the energy consumption reduction amount of equipment reaches this virtually
The corresponding target energy consumption adjusted value of machine.
History with period virtual resource state include: history with period virtual resource performance and history with period virtual resource
Utilization rate, history is bigger with period resource utilization and the gap of Current resource utilization rate, ensures the lower virtual machine of priority
Target energy consumption adjusted value it is higher, virtual resource includes: virtual cpu, in virtual memory, virtual hard disk and Microsoft Loopback Adapter at least
One.
In some embodiments, resource allocation module 306 is for obtaining virtual machine history with period virtual resource state, root
According to virtual machine history with period virtual resource state, the virtual resource performance of virtual machine is reduced.
In some embodiments, resource allocation module 306 is used to be directed to each virtual machine, according to current every virtual money
The sequence of the utilization rate in source from low to high successively reduces the performance of virtual machine items virtual resource.
In some embodiments, resource allocation module 306 determines each for obtaining the currently running main steps of virtual machine
Virtual resource is to the influence degrees of main steps, for each virtual machine, according to main steps influence degree by as low as
High sequence successively reduces the performance of every virtual resource.
The adjustment device of equipment energy consumption in embodiment of the disclosure can respectively by various calculating equipment or computer system Lai
It realizes, is described below with reference to Fig. 4 and Fig. 5.
Fig. 4 is the structure chart of some embodiments of the adjustment device of disclosure equipment energy consumption.As shown in figure 4, the embodiment
Device 40 include: memory 410 and the processor 420 for being coupled to the memory 410, processor 420 is configured as being based on
The instruction of storage in store 410 executes the method for adjustment of the equipment energy consumption in the disclosure in any some embodiments.
Wherein, memory 410 is such as may include system storage, fixed non-volatile memory medium.System storage
Device is for example stored with operating system, application program, Boot loader (Boot Loader), database and other programs etc..
Fig. 5 is the structure chart of other embodiments of the adjustment device of disclosure equipment energy consumption.As shown in figure 5, the implementation
The device 50 of example includes: memory 510 and processor 520, similar with memory 410 and processor 420 respectively.It can be with
Including input/output interface 530, network interface 540, memory interface 550 etc..These interfaces 530,540,550 and memory
It can for example be connected by bus 560 between 510 and processor 520.Wherein, input/output interface 530 be display, mouse,
The input-output equipment such as keyboard, touch screen provide connecting interface.Network interface 540 provides connecting interface for various networked devices,
Such as it may be coupled to database server or cloud storage server etc..Memory interface 550, which is that SD card, USB flash disk etc. are external, to be deposited
It stores up equipment and connecting interface is provided.
The disclosure also provides a kind of computer readable storage medium, is stored thereon with computer program, and the program is processed
The step of device realizes the method for adjustment of equipment energy consumption of any one aforementioned embodiment when executing.
Those skilled in the art should be understood that embodiment of the disclosure can provide as method, system or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the disclosure
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the disclosure, which can be used in one or more,
Machine can use the meter implemented in non-transient storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of calculation machine program product.
The disclosure is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present disclosure
Figure and/or block diagram describe.It is interpreted as to be realized by computer program instructions each in flowchart and/or the block diagram
The combination of process and/or box in process and/or box and flowchart and/or the block diagram.It can provide these computer journeys
Sequence instruct to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor with
A machine is generated, so that the instruction generation executed by computer or the processor of other programmable data processing devices is used for
Realize the dress for the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram
It sets.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The above is only the preferred embodiments of the disclosure, not to limit the disclosure, all spirit and principle in the disclosure
Within, any modification, equivalent replacement, improvement and so on should be included within the protection scope of the disclosure.
Claims (16)
1. a kind of method of adjustment of equipment energy consumption, comprising:
The energy consumption of monitoring device, the equipment include independent server or server cluster；
In the case where the energy consumption of the equipment is more than to bind threshold value, according to the operation feelings of the corresponding each virtual machine of the equipment
Condition determines the resource allocation sequence of each virtual machine；
The virtual resource performance that each virtual machine is successively reduced according to the resource allocation of each virtual machine sequence, until the equipment
Energy consumption lower than the threshold value that binds.
2. method of adjustment according to claim 1, wherein
The operating condition of the virtual machine includes the software in virtual machine, and the software includes the software being currently running or installed
Software；
The operating condition according to the corresponding each virtual machine of the equipment determines that the resource allocation sequence of each virtual machine is wrapped
It includes:
Determine that the guarantee of each virtual machine is preferential according to the guarantee priority of the software in the corresponding each virtual machine of the equipment
Grade；
It is set as the resource allocation sequence of each virtual machine to ensure the sequence of priority from low to high.
3. method of adjustment according to claim 1, wherein
In the case where the equipment is server cluster, the operating condition of the virtual machine includes software and void in virtual machine
The power dissipation ratio of performance of server where quasi- machine, the software include being currently running or mounted software；
The operating condition according to the corresponding each virtual machine of the equipment determines that the resource allocation sequence of each virtual machine is wrapped
It includes:
According to the performance of server where the guarantee priority of the software in the corresponding each virtual machine of the equipment and virtual machine
Power dissipation ratio determines the guarantee priority of each virtual machine, wherein the guarantee priority of software is higher in virtual machine, place server
Power dissipation ratio of performance it is higher, the guarantee priority of the virtual machine is higher；
It is set as the resource allocation sequence of each virtual machine to ensure the sequence of priority from low to high.
4. method of adjustment according to claim 2 or 3, wherein
The virtual resource performance of virtual machine is reduced using following methods:
Determine the energy consumption of current device and the energy consumption difference of the threshold value that binds；
According to each virtual machine history with period virtual resource state and the guarantee priority of each virtual machine by the energy consumption
Difference distributes to each virtual machine, determines the corresponding target energy consumption adjusted value of each virtual machine, wherein the history is the same as period void
Quasi- resource status includes: history with period virtual resource performance and history with period virtual resource utilization rate, and history is provided with the period
The gap of source utilization rate and Current resource utilization rate is bigger, ensures the target energy consumption adjusted value of the lower virtual machine of priority more
It is high；
For every virtual machine, the virtual resource performance of the virtual machine is reduced according to the corresponding target energy consumption adjusted value of virtual machine,
So that the energy consumption reduction amount of equipment reaches the corresponding target energy consumption adjusted value of the virtual machine；
At least one of the virtual resource includes: virtual cpu, in virtual memory, virtual hard disk and Microsoft Loopback Adapter.
5. method of adjustment according to claim 1-3, wherein
The virtual resource performance of virtual machine is reduced using following methods:
Virtual machine history is obtained with period virtual resource state；
According to virtual machine history with period virtual resource state, the virtual resource performance of virtual machine is reduced；
Wherein, the history includes: that history is empty with the period with period virtual resource performance and history with period virtual resource state
Quasi- resource utilization, the virtual resource includes: virtual cpu, and at least one in virtual memory, virtual hard disk and Microsoft Loopback Adapter
?.
6. method of adjustment according to claim 5, wherein
It is described according to virtual machine history with period virtual resource state, the virtual resource performance for reducing virtual machine includes:
For each virtual machine, virtual machine is successively reduced according to the utilization rate sequence from low to high of current every virtual resource
The performance of every virtual resource.
7. according to the described in any item methods of adjustment of claim 5, wherein
It is described according to virtual machine history with period virtual resource state, the virtual resource performance for reducing virtual machine includes:
Obtain the currently running main steps of virtual machine；
Determine items virtual resource to the influence degree of the main steps；
For each virtual machine, every virtual resource is successively reduced according to the sequence of main steps influence degree from low to high
Performance.
8. a kind of adjustment device of equipment energy consumption, comprising:
Energy consumption monitoring module, for the energy consumption of monitoring device, the equipment includes independent server or server cluster；
Allotment sequence determining module, for the energy consumption of the equipment be more than bind threshold value in the case where, according to the equipment pair
The operating condition for each virtual machine answered determines the resource allocation sequence of each virtual machine；
Resource allocation module successively reduces the virtual resource of each virtual machine for the resource allocation sequence according to each virtual machine
Performance, until the energy consumption of the equipment is lower than the threshold value that binds.
9. adjustment device according to claim 8, wherein
The operating condition of the virtual machine includes the software in virtual machine, and the software includes the software being currently running or installed
Software；
The allotment sequence determining module is used for the guarantee priority according to the software in the corresponding each virtual machine of the equipment
The guarantee priority for determining each virtual machine is set as the resource allocation sequence of each virtual machine to ensure priority by low
To high sequence.
10. adjustment device according to claim 8, wherein
In the case where the equipment is server cluster, the operating condition of the virtual machine includes software and void in virtual machine
The power dissipation ratio of performance of server where quasi- machine, the software include being currently running or mounted software；
The allotment sequence determining module is used for the guarantee priority according to the software in the corresponding each virtual machine of the equipment
The guarantee priority that each virtual machine is determined with the power dissipation ratio of performance of server where virtual machine, by the money of each virtual machine
Source allotment sequence is set as ensureing the sequence of priority from low to high, wherein the guarantee priority of software is higher in virtual machine, institute
Higher in the power dissipation ratio of performance of server, the guarantee priority of the virtual machine is higher.
11. adjustment device according to claim 9 or 10, wherein
The resource allocation module is for determining the energy consumption of current device and the energy consumption difference of the threshold value that binds, according to each void
The energy consumption difference is distributed to each with period virtual resource state and the guarantee priority of each virtual machine by quasi- machine history
Virtual machine determines the corresponding target energy consumption adjusted value of each virtual machine, for every virtual machine, according to the corresponding target of virtual machine
Energy consumption adjusted value reduces the virtual resource performance of the virtual machine, so that the energy consumption reduction amount of equipment reaches the corresponding mesh of the virtual machine
Mark energy consumption adjusted value；
Wherein, the history includes: that history is empty with the period with period virtual resource performance and history with period virtual resource state
Quasi- resource utilization, history is bigger with period resource utilization and the gap of Current resource utilization rate, ensures that priority is lower
The target energy consumption adjusted value of virtual machine is higher, and the virtual resource includes: virtual cpu, virtual memory, virtual hard disk and virtual net
At least one of in card.
12. according to the described in any item adjustment devices of claim 8-10, wherein
The resource allocation module is for obtaining virtual machine history with period virtual resource state, according to the virtual machine history same period
Virtual resource state reduces the virtual resource performance of virtual machine；
Wherein, the history includes: that history is empty with the period with period virtual resource performance and history with period virtual resource state
Quasi- resource utilization, the virtual resource includes: virtual cpu, and at least one in virtual memory, virtual hard disk and Microsoft Loopback Adapter
?.
13. adjustment device according to claim 12, wherein
The resource allocation module is used to be directed to each virtual machine, according to current every virtual resource utilization rate from low to high
Sequence successively reduce the performance of virtual machine items virtual resource.
14. adjustment device according to claim 12, wherein
The resource allocation module determines items virtual resource to the master for obtaining the currently running main steps of virtual machine
The influence degree for wanting process is successively dropped for each virtual machine according to the sequence of main steps influence degree from low to high
The performance of low items virtual resource.
15. a kind of adjustment device of equipment energy consumption, comprising:
Memory；And
It is coupled to the processor of the memory, the processor is configured to based on the finger being stored in the memory devices
It enables, executes the method for adjustment such as the described in any item equipment energy consumptions of claim 1-7.
16. a kind of computer readable storage medium, is stored thereon with computer program, wherein when the program is executed by processor
The step of realizing any one of claim 1-7 the method.
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