CN108196935A - A kind of energy saving moving method of virtual machine towards cloud computing - Google Patents
A kind of energy saving moving method of virtual machine towards cloud computing Download PDFInfo
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- CN108196935A CN108196935A CN201711273007.0A CN201711273007A CN108196935A CN 108196935 A CN108196935 A CN 108196935A CN 201711273007 A CN201711273007 A CN 201711273007A CN 108196935 A CN108196935 A CN 108196935A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
- G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
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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 invention relates to a kind of energy saving moving methods of the virtual machine towards cloud computing, for the virtual machine migration method of more current mainstream, in the server overload of low capacity, using the virtual machine selection algorithm of minimum transition time, it is smaller on service performance influence, the service generated due to virtual machine (vm) migration and server overload loss of energy is made to maintain relatively low level；It is faster to release server overload problem using the virtual machine that minimum virtual machine (vm) migration algorithms selection is to be migrated in the server overload of large capacity, virtual machine (vm) migration number is reduced, the transport efficiency of virtual machine can be effectively improved.
Description
Technical field
The present invention relates to a kind of energy saving moving methods of the virtual machine towards cloud computing, belong to Distributed Calculation and cloud computing skill
Art field.
Background technology
At the beginning of 21 century, internet development is rapid, and computer technology is widely used in industry-by-industry.It is swift and violent with internet
Development, information content also quickly increases, portfolio rapid growth to be processed needed for the operation systems such as website.It is big in order to quickly handle
Increased information content, makes information timely be fed back, and use information is own services, and cloud computing is come into being.
Cloud computing is to develop to be a kind of emerging computation model by Distributed Calculation, parallel processing, grid computing.
The computing capability of cloud computing is powerful, has wide range of applications, it not only provides IT resources and the application service of traditional sense, but also will
The resource that support is included after all Internet technologies fusion such as IT, communication, TV, movement and Internet of Things uses and service application.
The key technology of cloud computing development mainly has unified exchange framework, unified virtualization and unified computing system.
Cloud computing mode has many advantages：Ultra-large, virtualization is universal, cheap etc..But cloud computing there is also
Some shortcomings, existing network bandwidth, the reliability for storing data and safety are that current limitation cloud computing technology is further sent out
The key factor of exhibition.With the development of cloud computing, data center is established in each position, and data are carried out in cloud computation data center
Analysis becomes an important process.Analysing content includes inquiry user journal to select advertisement serving policy, inquires network day
Will detection Dos attacks, Query System Log establish error prediction model etc..In order to which the resource for making physical machine obtains abundant profit
With, meanwhile, the energy consumption of physical machine is reduced, the migration of virtual machine is particularly important.
Virtual machine (vm) migration mainly has following three kinds of effects：First, reduce the influence that the physical server machine of delaying is brought；Second,
Energy saving integration is carried out to data center；Third realizes the load balance of data center, is monitoring that server may break down
, can be by virtual machine (vm) migration or when that will be closed to carrying out server, virtual machine (vm) migration is normal to operating status
Or it does not need on the server closed.So as to avoid machine or closing the influence that brings because server is delayed；By using virtual machine
The virtual machine being largely distributed on different physical servers can be integrated on a small amount of physical server, carry by migrating technology
The utilization rate of high server, and by that by unnecessary server closing or suspend mode, can realize the energy saving of data center,
Different to virtual machine selection algorithm to be migrated during virtual machine (vm) migration, the selection of virtual machine should meet three purposes as possible：It has crossed
Carry server state can Rapid reversal, migrate the cost of generation, virtual machine redistributes the influence to cluster total energy consumption.At present
Common virtual machine selection algorithm has：Stochastic selection algorithm, minimum utilization rate algorithm, maximum correlation algorithm, during minimum transition
Between algorithm etc..These algorithms or make migration number higher, generate larger energy consumption or the performance band to service
Carry out large effect.
Invention content
The technical problems to be solved by the invention are to provide a kind of energy saving moving method of the virtual machine towards cloud computing, are subtracting
While few data center virtual machine (vm) migration number, time, the energy consumption generated during virtual machine (vm) migration can be effectively reduced, is carried
High virtual machine (vm) migration efficiency.
In order to solve the above-mentioned technical problem the present invention uses following technical scheme：The present invention devises a kind of towards cloud computing
The energy saving moving method of virtual machine, include the following steps：
Step A. obtains the resource utilization of each physical host respectively, and is more than default resource profit for resource utilization
With the physical host of the rate upper limit, structure overload physical host set；It is less than default resource utilization lower limit for resource utilization
Physical host, build low loading reason host complexes；Remaining physical host builds physical host set to be loaded, subsequently into
Step B；
Step B. obtains the resource capacity of each physical host in overload physical host set respectively, and for overload physics
Wherein resource capacity is greater than or equal to the physical host of default resource capacity threshold value, structure the first overload physics by host complexes
Host complexes；Remaining physical host, structure the second overload physical host set, subsequently into step C；
Virtual machines of the step C. corresponding to for each physical host in the first overload physical host set, using minimum void
Plan machine migration algorithm, selects virtual machine to be migrated；
Meanwhile the virtual machine corresponding to for each physical host in the second overload physical host set, it is moved using minimum
Shift time algorithm selects virtual machine to be migrated；
Then, the selected virtual machine to be migrated of physical host set is overloaded by the first overload physical host set, second,
Virtual machine set to be migrated is built, and enters step D；
The virtual machine in host complexes corresponding to each physical host is managed in low loading by step D., all adds in void to be migrated
In plan machine set, virtual machine set to be migrated is updated, subsequently into step E；
Step E. is directed to each physical host in physical host set to be loaded, is arranged by its resource utilization ascending order
Sequence updates physical host set to be loaded, then for the physical host in physical host set to be loaded, according to default resource
The utilization rate upper limit and default reserved resource utilization, calculate and obtain physical host resource utilization stationary value, subsequently into step
Rapid F；
Step F. is directed to each virtual machine in virtual machine set to be migrated, arbitrarily chooses a virtual machine (vm) migration extremely every time
It is pressed on the primary physical host of resource utilization ascending sort in physical host set to be loaded, in virtual machine set to be migrated
Middle deletion this virtual machine, and the resource utilization of the physical host is calculated, until the physical host resource utilization reaches object
Host resource utilization rate stationary value is managed, then the physical host is removed into virtual machine set to be migrated；If so operation void to be migrated
When in plan machine set there is no physical host is not present in virtual machine or physical host set to be loaded, then virtual machine migration method
Terminate.
As a preferred technical solution of the present invention, in the step B, obtain as follows：
C=wc*cpu+wm*memo+wb*bandwidth
The resource capacity C of physical host is obtained, wherein, wcRepresent the physical host corresponding data center resources importance
CPU weight, wmRepresent the memory weight of the physical host corresponding data center resources importance, wbRepresent that the physical host corresponds to
The bandwidth weighting of data center resource importance, cpu represent the host CPU resources capacity of physical host, and memo is represented in host
Resource capacity is deposited, bandwidth represents host bandwidth resource capacity.
As a preferred technical solution of the present invention, in the step C, for each in the first overload physical host set
Virtual machine corresponding to platform physical host using minimum virtual machine (vm) migration algorithm, selects virtual machine to be migrated, including walking as follows
Suddenly：
Step C1-1. initializes i=1, j=1, and enters step C1-2；
I-th physical host in step C1-2. selections the first overload physical host set, obtains i-th physics master respectively
The resource usage amount of each virtual machine on machine, and descending sort is carried out for each virtual machine, subsequently into step C1-3；
Step C1-3., will jth platform virtual machine thereon for i-th physical host in the first overload physical host set
It is added in by being removed on its physical host, and by the jth platform virtual machine into virtual machine set to be migrated, subsequently into step C1-
4；
Step C1-4. calculates the resource utilization for obtaining i-th physical host in the first overload physical host set, and sentences
Whether the resource utilization of breaking is more than the default resource utilization upper limit, is, carries out adding 1 update, and return to step for the value of j
C1-3；Otherwise by i-th physical host by being removed, and enter step C1-5 in the first overload physical host set；
Step C1-5. judges whether the first overload physical host set is empty, is then for the first overload physical host collection
The virtual machine selection method to be migrated closed terminates；Otherwise it is carried out for the value of i plus 1 updates, and return to step C1-2.
As a preferred technical solution of the present invention, the resource utilization of the physical host obtains according to the following procedure：
First, host CPU resources capacity cpu, host memory resource capacity memo and the host bandwidth of physical host are obtained
Resource capacity bandwidth；
Then, the CPU resources of virtual machine capacity cpu of each virtual machine on the physical host is obtained respectivelyn, virutal machine memory
Resource capacity memonWith virtual machine bandwidth resources capacity bandwidthn；
Finally, according to equation below：
The resource utilization hUtil of the physical host is obtained, wherein, n={ 1 ..., N }, N represent empty on the physical host
The quantity of plan machine, wcRepresent the CPU weight of the physical host corresponding data center resources importance, wmRepresent the physical host pair
Answer the memory weight of data center resource importance, wbRepresent the bandwidth power of the physical host corresponding data center resources importance
Weight.
As a preferred technical solution of the present invention, in the step E, according to default resource utilization upper limit Tup, with
And default reserved resource utilization r, as follows：
S=Tup-r
It calculates and obtains physical host resource utilization stationary value s.
The application system of the energy saving moving method of a kind of virtual machine towards cloud computing of the present invention, using more than technical side
Case compared with prior art, has following technique effect：The designed energy saving moving method of virtual machine towards cloud computing of the invention,
It is virtual using the minimum transition time in the server overload of low capacity for the virtual machine migration method of more current mainstream
Machine selection algorithm, it is smaller on service performance influence, make the damage of the service performance generated due to virtual machine (vm) migration and server overload
Mistake maintains relatively low level；It is to be migrated using minimum virtual machine (vm) migration algorithms selection in the server overload of large capacity
Virtual machine, it is faster to release server overload problem, virtual machine (vm) migration number is reduced, the migration effect of virtual machine can be effectively improved
Rate.
Description of the drawings
Fig. 1 is flow diagram of the present invention towards the energy saving moving method of virtual machine of cloud computing.
Specific embodiment
The specific embodiment of the present invention is described in further detail with reference to the accompanying drawings of the specification.
The present invention devises a kind of energy saving moving method of the virtual machine towards cloud computing, and virtual machine can be reduced in application
The time of migration；The migration number of virtual machine is reduced simultaneously, reduces the energy consumption that virtual machine (vm) migration generates.Its principle is basis
Physical machine is divided into large capacity physical machine and low capacity physical machine by the capacity difference of physical machine, for the former, during virtual machine (vm) migration
Using the virtual machine that minimum transition number algorithms selection is to be migrated；For the latter, when virtual machine (vm) migration, uses the minimum transition time
Algorithm carries out the selection of virtual machine, and different virtual machine migration methods is used according to the capacity difference of physical machine.As shown in Figure 1,
In practical application, specifically comprise the following steps：
Step A. obtains the resource utilization of each physical host respectively, and is more than default resource profit for resource utilization
With the physical host of the rate upper limit, structure overload physical host set；It is less than default resource utilization lower limit for resource utilization
Physical host, build low loading reason host complexes；Remaining physical host builds physical host set to be loaded, subsequently into
Step B.
In above-mentioned steps A, the resource utilization of physical host obtains according to the following procedure：
First, host CPU resources capacity cpu, host memory resource capacity memo and the host bandwidth of physical host are obtained
Resource capacity bandwidth；
Then, the CPU resources of virtual machine capacity cpu of each virtual machine on the physical host is obtained respectivelyn, virutal machine memory
Resource capacity memonWith virtual machine bandwidth resources capacity bandwidthn；
Finally, according to equation below：
The resource utilization hUtil of the physical host is obtained, wherein, n={ 1 ..., N }, N represent empty on the physical host
The quantity of plan machine, wcRepresent the CPU weight of the physical host corresponding data center resources importance, wmRepresent the physical host pair
Answer the memory weight of data center resource importance, wbRepresent the bandwidth power of the physical host corresponding data center resources importance
Weight.
Step B. obtains the resource capacity of each physical host in overload physical host set respectively, and for overload physics
Wherein resource capacity is greater than or equal to the physical host of default resource capacity threshold value, structure the first overload physics by host complexes
Host complexes；Remaining physical host, structure the second overload physical host set, subsequently into step C.
Wherein, it is obtained as follows in above-mentioned steps B：
C=wc*cpu+wm*memo+wb*bandwidth
The resource capacity C of physical host is obtained, wherein, wcRepresent the physical host corresponding data center resources importance
CPU weight, wmRepresent the memory weight of the physical host corresponding data center resources importance, wbRepresent that the physical host corresponds to
The bandwidth weighting of data center resource importance, cpu represent the host CPU resources capacity of physical host, and memo is represented in host
Resource capacity is deposited, bandwidth represents host bandwidth resource capacity.
Virtual machines of the step C. corresponding to for each physical host in the first overload physical host set, using minimum void
Plan machine migration algorithm, selects virtual machine to be migrated, includes the following steps：
Step C1-1. initializes i=1, j=1, and enters step C1-2.
I-th physical host in step C1-2. selections the first overload physical host set, obtains i-th physics master respectively
The resource usage amount of each virtual machine on machine, and descending sort is carried out for each virtual machine, subsequently into step C1-3.
Step C1-3., will jth platform virtual machine thereon for i-th physical host in the first overload physical host set
It is added in by being removed on its physical host, and by the jth platform virtual machine into virtual machine set to be migrated, subsequently into step C1-
4。
Step C1-4. calculates the resource utilization for obtaining i-th physical host in the first overload physical host set, and sentences
Whether the resource utilization of breaking is more than the default resource utilization upper limit, is, carries out adding 1 update, and return to step for the value of j
C1-3；Otherwise by i-th physical host by being removed, and enter step C1-5 in the first overload physical host set.
Step C1-5. judges whether the first overload physical host set is empty, is then for the first overload physical host collection
The virtual machine selection method to be migrated closed terminates；Otherwise it is carried out for the value of i plus 1 updates, and return to step C1-2.
Meanwhile the virtual machine corresponding to for each physical host in the second overload physical host set, it is moved using minimum
Shift time algorithm selects virtual machine to be migrated.
Then, the selected virtual machine to be migrated of physical host set is overloaded by the first overload physical host set, second,
Virtual machine set to be migrated is built, and enters step D.
The virtual machine in host complexes corresponding to each physical host is managed in low loading by step D., all adds in void to be migrated
In plan machine set, virtual machine set to be migrated is updated, subsequently into step E.
Step E. is directed to each physical host in physical host set to be loaded, is arranged by its resource utilization ascending order
Sequence updates physical host set to be loaded, then for the physical host in physical host set to be loaded, according to default resource
Utilization rate upper limit TupAnd default reserved resource utilization r, as follows：
S=Tup-r
It calculates and obtains physical host resource utilization stationary value s, subsequently into step F.
Step F. is directed to each virtual machine in virtual machine set to be migrated, arbitrarily chooses a virtual machine (vm) migration extremely every time
It is pressed on the primary physical host of resource utilization ascending sort in physical host set to be loaded, in virtual machine set to be migrated
Middle deletion this virtual machine, and the resource utilization of the physical host is calculated, until the physical host resource utilization reaches object
Host resource utilization rate stationary value is managed, then the physical host is removed into virtual machine set to be migrated；If so operation void to be migrated
When in plan machine set there is no physical host is not present in virtual machine or physical host set to be loaded, then virtual machine migration method
Terminate.
The designed energy saving moving method of virtual machine towards cloud computing of above-mentioned technical proposal, the virtual machine of more current mainstream move
For shifting method, in the server overload of low capacity, using the virtual machine selection algorithm of minimum transition time, to service performance
Influence is smaller, and the service generated due to virtual machine (vm) migration and server overload loss of energy is made to maintain relatively low level；
It is faster to release service using the virtual machine that minimum virtual machine (vm) migration algorithms selection is to be migrated during the server overload of large capacity
Device overload problem reduces virtual machine (vm) migration number, can effectively improve the transport efficiency of virtual machine.Specifically when selection virtual machine into
During row migration, traditional method is the common virtual machine selection algorithm of selection：Minimum utilization rate algorithm, maximum correlation algorithm,
Minimum transition time algorithm etc..However, this do not consider that server capacity directly selects virtual machine (vm) migration algorithm, in server
Capacity it is larger release server overload the problem of when, some efficiency of algorithm are not high；And when server capacity is smaller, the void of use
Plan machine selection algorithm is likely to result in more migration number again, and larger impact is brought to service performance.It is this not consider to service
The mode of device Capacity Selection virtual machine selection algorithm is less suitable.
With the virtual machine selection algorithm in the present invention, when carrying out virtual machine selection, according to the size of physical machine capacity
Different virtual machine selection algorithms is selected, on the virtual machine (vm) migration to suitable physical machine in the physical machine of overload or low load.
This virtual machine selection algorithm largely reduces the time of virtual machine (vm) migration, reduces the migration of virtual machine
Number, faster to release server overload problem, the energy consumption that so as to reduce virtual machine (vm) migration when generates, while can also keep
The higher service quality of virtual machine when carrying out virtual machine (vm) migration, provides relatively stable service to the user.
Embodiments of the present invention are explained in detail above in conjunction with attached drawing, but the present invention is not limited to above-mentioned implementations
Mode, within the knowledge of a person skilled in the art, can also be under the premise of present inventive concept not be departed from
Make various variations.
Claims (5)
1. the energy saving moving method of a kind of virtual machine towards cloud computing, which is characterized in that include the following steps：
Step A. obtains the resource utilization of each physical host respectively, and is more than default resource utilization for resource utilization
The physical host of the upper limit, structure overload physical host set；It is less than the object of default resource utilization lower limit for resource utilization
Host is managed, builds low loading reason host complexes；Remaining physical host builds physical host set to be loaded, subsequently into step
B；
Step B. obtains the resource capacity of each physical host in overload physical host set respectively, and for overload physical host
Wherein resource capacity is greater than or equal to the physical host of default resource capacity threshold value, structure the first overload physical host by set
Set；Remaining physical host, structure the second overload physical host set, subsequently into step C；
Virtual machines of the step C. corresponding to for each physical host in the first overload physical host set, using minimum virtual machine
Migration algorithm selects virtual machine to be migrated；
Meanwhile for the virtual machine in the second overload physical host set corresponding to each physical host, during using minimum transition
Between algorithm, select virtual machine to be migrated；
Then, by the first overload physical host set, the second overload selected virtual machine to be migrated of physical host set, structure
Virtual machine set to be migrated, and enter step D；
The virtual machine in host complexes corresponding to each physical host is managed in low loading by step D., all adds in virtual machine to be migrated
In set, virtual machine set to be migrated is updated, subsequently into step E；
Step E. is directed to each physical host in physical host set to be loaded, is ranked up by its resource utilization ascending order,
Physical host set to be loaded is updated, then for the physical host in physical host set to be loaded, according to default resource profit
With the rate upper limit and default reserved resource utilization, calculate and obtain physical host resource utilization stationary value, subsequently into step
F；
Step F. is directed to each virtual machine in virtual machine set to be migrated, arbitrarily chooses a virtual machine (vm) migration every time to be added
By on the primary physical host of resource utilization ascending sort in loading reason host complexes, deleted in virtual machine set to be migrated
Except this virtual machine, and the resource utilization of the physical host is calculated, until the physical host resource utilization reaches physics master
The physical host is then removed virtual machine set to be migrated by machine resource utilization stationary value；If so operation virtual machine to be migrated
When in set there is no physical host is not present in virtual machine or physical host set to be loaded, then virtual machine migration method knot
Beam.
A kind of 2. energy saving moving method of virtual machine towards cloud computing according to claim 1, which is characterized in that the step
In B, obtain as follows：
C=wc*cpu+wm*memo+wb*bandwidth
The resource capacity C of physical host is obtained, wherein, wcRepresent the CPU power of the physical host corresponding data center resources importance
Weight, wmRepresent the memory weight of the physical host corresponding data center resources importance, wbIt represents in the physical host corresponding data
The bandwidth weighting of heart resource significance, cpu represent the host CPU resources capacity of physical host, and memo represents host memory resource
Capacity, bandwidth represent host bandwidth resource capacity.
A kind of 3. energy saving moving method of virtual machine towards cloud computing according to claim 1, which is characterized in that the step
In C, for the virtual machine corresponding to each physical host in the first overload physical host set, calculated using minimum virtual machine (vm) migration
Method selects virtual machine to be migrated, includes the following steps：
Step C1-1. initializes i=1, j=1, and enters step C1-2；
I-th physical host in step C1-2. selections the first overload physical host set, obtains on i-th physical host respectively
The resource usage amount of each virtual machine, and descending sort is carried out for each virtual machine, subsequently into step C1-3；
Step C1-3. for first overload physical host set in i-th physical host, will thereon jth platform virtual machine by it
It is removed on physical host, and the jth platform virtual machine is added in into virtual machine set to be migrated, subsequently into step C1-4；Step
Rapid C1-4. calculates the resource utilization for obtaining i-th physical host in the first overload physical host set, and judges resource profit
Whether it is more than the default resource utilization upper limit with rate, is, carries out adding 1 update, and return to step C1-3 for the value of j；Otherwise will
I-th physical host in the first overload physical host set by removing, and enter step C1-5；
Step C1-5. judges whether the first overload physical host set is empty, is then for the first overload physical host set
Virtual machine selection method to be migrated terminates；Otherwise it is carried out for the value of i plus 1 updates, and return to step C1-2.
4. a kind of energy saving moving method of virtual machine towards cloud computing according to any one in claims 1 to 3, feature
It is, the resource utilization of the physical host obtains according to the following procedure：
First, host CPU resources capacity cpu, host memory resource capacity memo and the host bandwidth resources of physical host are obtained
Capacity bandwidth；
Then, the CPU resources of virtual machine capacity cpu of each virtual machine on the physical host is obtained respectivelyn, virutal machine memory resource
Capacity memonWith virtual machine bandwidth resources capacity bandwidthn；
Finally, according to equation below：
The resource utilization hUtil of the physical host is obtained, wherein, n={ 1 ..., N }, N represent virtual machine on the physical host
Quantity, wcRepresent the CPU weight of the physical host corresponding data center resources importance, wmRepresent that the physical host corresponds to number
According to the memory weight of center resources importance, wbRepresent the bandwidth weighting of the physical host corresponding data center resources importance.
A kind of 5. energy saving moving method of virtual machine towards cloud computing according to claim 1, which is characterized in that the step
In E, according to default resource utilization upper limit TupAnd default reserved resource utilization r, as follows：
S=Tup-r
It calculates and obtains physical host resource utilization stationary value s.
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| CN109120682A (en) * | 2018-07-31 | 2019-01-01 | 佛山市甜慕链客科技有限公司 | A kind of cloud computing rental management method based on shared device |
| CN109218438A (en) * | 2018-10-12 | 2019-01-15 | 山东科技大学 | A kind of performance optimization method of distributed cache server cluster |
| CN109800058A (en) * | 2019-01-23 | 2019-05-24 | 山东超越数控电子股份有限公司 | A kind of virtual machine Autonomic Migration Framework method |
| CN109828829A (en) * | 2019-01-22 | 2019-05-31 | 重庆邮电大学 | A kind of quick evacuation method of virtual machine based on the disaster early warning time |
| CN109947530A (en) * | 2019-01-25 | 2019-06-28 | 西安交通大学 | A kind of various dimensions virtual machine mapping method for cloud platform |
| CN109976875A (en) * | 2019-03-01 | 2019-07-05 | 厦门市世纪网通网络服务有限公司 | A kind of data monitoring method and device of super fusion cloud computing system |
| CN110401695A (en) * | 2019-06-12 | 2019-11-01 | 北京因特睿软件有限公司 | Cloud resource dynamic dispatching method, device and equipment |
| CN114546603A (en) * | 2022-04-24 | 2022-05-27 | 睿至科技集团有限公司 | Data processing method and system applied to Internet of things |
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