CN106776048A - A kind of real time virtual machine scheduling memory method and device - Google Patents
A kind of real time virtual machine scheduling memory method and device Download PDFInfo
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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
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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
- G06F2009/45583—Memory management, e.g. access or allocation
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Abstract
The invention discloses a kind of real time virtual machine scheduling memory method and device, the method includes：When host memory resource exceedes predetermined threshold value, judge that host memory resource is in tension；When host memory resource is in tension, virutal machine memory utilization rate is inquired about；Space internal memory penalty coefficient is introduced, releasing memory size is calculated；The internal memory of virtual machine is reconfigured according to the releasing memory size calculated.The method realizes that memory optimization is configured, it is to avoid the waste of memory source.
Description
Technical field
The present invention relates to field of cloud computer technology, more particularly to a kind of real time virtual machine scheduling memory method and device.
Background technology
At present, virtualization is the guardian technique of cloud computing underlying basis framework now, by hardware resource, storage,
The virtual machine of network and operating system, can be integrated into a resource pool so that in server by whole cloud computing environment
Application has plasticity and controllability, and this greatly reduces cost of the server in terms of deployment, management and radiating, realizes
The continuity of energy-conservation, automation, virtualization, service assembly and business.Virtualization technology in, computing resource it is virtual
Change is one of its key components, due to the part that the limited performance of computer system is most slow in system, therefore a meter
Every resource distribution of calculation machine all determines the height of computing power, in order to optimize virtual machine items resource in main frame
Configuration, solved herein for virutal machine memory allocation problem.
Most common Memory Allocation mode is that virutal machine memory priority and internal memory are reserved now, i.e., for some internal memories
Pressure-sensitive virtual machine setting internal memory priority higher or internal memory are reserved so that when competing occurs in host memory resource not
These virtual machines can be allowed to occur OOM (Out Of Memory) because EMS memory occupation is not enough and then virtual machine process is forced to close
Situation about closing.Internal memory priority is that virtual machine priority as desired is formulated into series of rules, when there is memory contention
When, the internal memory that virtual machine is used can be allocated according to the fixed ratio of priority, it is ensured that priority virtual machine high can
Take more memory source；It is then that a part of internal memory in main frame is assigned into specific virtual machine that internal memory is reserved, and this is interior
Depositing can only be used by the virtual machine for being reserved setting excessively so that the virtual machine can always be ensured in internal memory using this block internal memory
Resource is normally run in the case of nervous.But above two mode there is a problem of it is certain, i.e., can only occur memory source
Presetting for internal memory, rather than Real-Time Scheduling are carried out before nervous situation so that main frame is occurring the nervous situation of memory source
Down can not well between balanced each virtual machine internal memory configuration, cause the waste of memory source to a certain extent.This
Text proposes a kind of new scheduling memory mode, and internal memory money is adjusted than carrying out dynamic according to the real-time committed memory of each virtual machine in main frame
The configuration in source so that real-time host memory can obtain optimization collocation.
The content of the invention
It is an object of the invention to provide a kind of method and device, to realize that memory optimization is configured, it is to avoid the wave of memory source
Take.
In order to solve the above technical problems, the present invention provides a kind of real time virtual machine scheduling memory method, the method includes：
When host memory resource exceedes predetermined threshold value, judge that host memory resource is in tension；
When host memory resource is in tension, virutal machine memory utilization rate is inquired about；
Space internal memory penalty coefficient is introduced, releasing memory size is calculated；
The internal memory of virtual machine is reconfigured according to the releasing memory size calculated.
Preferably, methods described also includes：
Virtual machine is monitored, virutal machine memory seizure condition is updated once every one section of Preset Time.
Preferably, methods described is reconfigured the internal memory of virtual machine according to the releasing memory size calculated
Afterwards, also include：
When host memory resource utilization is reduced to predetermined threshold value, the internal memory of virtual machine is returned into virtual machine original
Memory configurations.
Preferably, virtual machine described in methods described is located in main frame, and the number of virtual machine is at least one.
The present invention also provided a kind of real time virtual machine scheduling memory device, for realizing that the real time virtual machine internal memory is adjusted
Degree method, the device includes：
Judge module, for when host memory resource exceedes predetermined threshold value, judging that host memory resource is in nervous shape
State；
Enquiry module, for when host memory resource is in tension, inquiring about virutal machine memory utilization rate；
Computing module, for introducing space internal memory penalty coefficient, calculates releasing memory size；
Configuration module, for the internal memory of virtual machine to be reconfigured according to the releasing memory size calculated.
Preferably, described device also includes：
Monitoring module, for being monitored to virtual machine, by virutal machine memory seizure condition every one section of Preset Time more
Newly once.
Preferably, described device also includes：
Recovery module, for when host memory resource utilization is reduced to predetermined threshold value, the internal memory of virtual machine being recovered
To the original memory configurations of virtual machine.
Preferably, the virtual machine is located in main frame, and the number of virtual machine is at least one.
A kind of real time virtual machine scheduling memory method and device provided by the present invention, presets when host memory resource exceedes
During threshold value, judge that host memory resource is in tension；When host memory resource is in tension, in inquiry virtual machine
Deposit utilization rate；Space internal memory penalty coefficient is introduced, releasing memory size is calculated；By the internal memory of virtual machine according to releasing for calculating
Memory size is put to be reconfigured.It can be seen that, it is considered to virutal machine memory scheduling when host memory resource is nervous, by detection
The memory source utilization rate of virtual machine, introduces space internal memory penalty coefficient, and then calculates the internal memory that virtual machine should discharge, according to
The releasing memory size calculated carries out reconfiguring for virutal machine memory, host memory pressure is alleviated with this, so
Memory source Real-Time Scheduling is carried out to the virtual machine in main frame in the case of host memory resource is nervous, and can be according to interior
Deposit service condition and more accurately judge the virtual machine memory size to be discharged, with the memory configurations for being optimized, realize
Memory optimization is configured, it is to avoid the waste of memory source.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow chart of real time virtual machine scheduling memory method provided by the present invention；
Fig. 2 is real time virtual machine Memory Allocation Strategy example schematic；
Fig. 3 is a kind of structural representation of real time virtual machine scheduling memory device provided by the present invention.
Specific embodiment
Core of the invention is to provide a kind of real time virtual machine scheduling memory method and device, to realize that memory optimization is matched somebody with somebody
Put, it is to avoid the waste of memory source.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present invention, it is clear that described embodiment is only
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is refer to, Fig. 1 is a kind of flow chart of real time virtual machine scheduling memory method provided by the present invention, the party
Method includes：
S11：When host memory resource exceedes predetermined threshold value, judge that host memory resource is in tension；
S12：When host memory resource is in tension, virutal machine memory utilization rate is inquired about；
S13：Space internal memory penalty coefficient is introduced, releasing memory size is calculated；
S14：The internal memory of virtual machine is reconfigured according to the releasing memory size calculated.
It can be seen that, virutal machine memory scheduling when the method considers that host memory resource is nervous, by detecting in virtual machine
Resource utilization is deposited, space internal memory penalty coefficient is introduced, and then calculates the internal memory that virtual machine should discharge, according to what is calculated
Releasing memory size carries out reconfiguring for virutal machine memory, host memory pressure is alleviated with this, so in host memory
Resource carries out memory source Real-Time Scheduling to the virtual machine in main frame in the case of nervous, and can be according to internal memory service condition
More accurately judge the virtual machine memory size to be discharged, with the memory configurations for being optimized, realize that memory optimization is matched somebody with somebody
Put, it is to avoid the waste of memory source.
Based on the above method, further, methods described also includes：Virtual machine is monitored, virutal machine memory is accounted for
Updated once every one section of Preset Time with state.Virutal machine memory seizure condition is updated in real time so, it is ensured that internal memory
The real-time of scheduling.
Further, after step S14, also include：When host memory resource utilization is reduced to predetermined threshold value, by void
The internal memory of plan machine returns to the original memory configurations of virtual machine.So when host memory resource is no longer nervous, cancel in good time interior
Distribution is deposited, to recover virutal machine memory normal configuration so that each virtual machine normally runs on main frame.
Wherein, virtual machine is located in main frame, and the number of virtual machine is at least one.
Wherein, in step S13, the formula for calculating releasing memory size is as follows：
Wherein KPUNISHVirtual machine free memory punishment proportion is represented, the value is smaller, answers releasing memory value bigger,
Vmi_ Shares represents the value of virutal machine memory priority, Vmi_actRepresent virtual machine VmiThe memory value being being currently used,
Vmi_freeRepresent virtual machine VmiThe memory value of current residual, ρ represents free memory penalty coefficient, can generally be set to its value
4, the Vm for finally calculatingi_distRepresent the memory size that virtual machine should discharge.
Based on this method, specifically, setting active host real time virtual machine memory configurations policy threshold first, only work as master
When machine memory source exceedes certain threshold value, judge that the host memory resource is in tension, and then start to perform real-time virtual
Machine scheduling memory strategy.Secondly using each virutal machine memory utilization rate for inquiring, released with required for calculated for subsequent virtual machine
The memory size put, introduces a free memory penalty coefficient ρ, calculates releasing memory by virutal machine memory utilization rate big
It is small, then the releasing memory size that the internal memory of virtual machine is calculated according to above-mentioned steps configured, reaching optimization main frame
The effect that memory source configuration is optimized.In addition when host memory resource is no longer nervous, Memory Allocation is cancelled in good time, to recover
Virutal machine memory normal configuration so that each virtual machine normally runs on main frame.
The real time virtual machine scheduling memory method that the present invention is provided, takes into full account the virtual machine when host memory resource is nervous
Memory Allocation problem, by the memory usage of each virtual machine in real-time detection main frame, so by free memory punish
Coefficient calculates the internal memory that each virtual machine should discharge, to optimize the configuration of virtual machine items resource in main frame, while setting
Surely the threshold value of host assignment virutal machine memory is triggered, only virutal machine memory is triggered when host memory utilization rate exceedes the threshold value
Allocation strategy, and host memory utilization rate be less than a certain threshold value when cancel virutal machine memory distribution, recover virtual machine it is originally interior
Deposit configuration.Virutal machine memory scheduling strategy step when host resource is nervous includes：(1) virutal machine memory configuration strategy threshold is activated
Value setting；(2) each virutal machine memory utilization rate in inquiry main frame；(3) memory usage in step (2) is each to calculate
The memory size that individual virtual machine should discharge；(4) value calculated according to step (3) redistributes the internal memory of virtual machine, with
Reach the configuration of host memory resources optimization；(5) virutal machine memory configuration strategy threshold value is cancelled in setting, when host memory utilization rate
During less than the threshold value, recover the original memory configurations of each virtual machine.
Wherein, active host real time virtual machine memory configurations policy threshold is set, only when host memory resource is more than one
When determining threshold value, judge that the host memory resource is in tension, and then start to perform real time virtual machine scheduling memory strategy.Look into
Host memory utilization rate is ask, using each virutal machine memory utilization rate for inquiring, is discharged with required for calculated for subsequent virtual machine
Memory size.A free memory penalty coefficient ρ is introduced, the value is calculated by virutal machine memory utilization rate.By virtual machine
The releasing memory size that is calculated according to above-mentioned steps of internal memory configured, reaching the resource distribution of optimization host memory most
The effect of optimization.Also, when host memory resource is no longer nervous, Memory Allocation is cancelled in good time, to recover virutal machine memory just
Often configuration so that each virtual machine normally runs on main frame.
In more detail, this method is primary concern is that the characteristics of host implementation storage allocation, it is considered to which host memory resource is tight
Virutal machine memory scheduling when opening, by detecting the memory source utilization rate of current all virtual machines and considering that virutal machine memory is excellent
The influence of first level, and then the internal memory that virtual machine should discharge is calculated, host memory pressure is alleviated with this, in host memory resource
Recover the original memory configurations of each virtual machine after occupancy reduction to a certain extent again, preferably to maintain all void
The normal operation of plan machine.The step of realizing the virutal machine memory scheduling strategy is as follows：
1. setting host memory first takes threshold value, when host memory resource consumption exceedes the threshold value, then starts to perform
Virutal machine memory scheduling strategy, to ensure that the scheduling memory is only performed when host memory resource is nervous；
2. when host memory utilization rate reaches threshold value, real time virtual machine scheduling memory strategy is activated, start monitoring host computer
In each virtual machine internal memory proportion, and virutal machine memory seizure condition needs to update within a certain period of time once, with
Ensure the real-time of the scheduling memory strategy；
3. when calculating the internal memory that virtual machine should discharge, with reference to each the virutal machine memory occupancy situation drawn in step 2
And the value of virutal machine memory priority, while introducing free memory penalty coefficient ρ to calculate each virtual machine in memory source
The memory size that should be distributed in the case of anxiety, the formula for calculating releasing memory size is as follows：
Wherein KPUNISHVirtual machine free memory punishment proportion is represented, the value is smaller, answers releasing memory value bigger,
Vmi_ Shares represents the value of virutal machine memory priority, Vmi_actRepresent virtual machine VmiThe memory value being being currently used,
Vmi_freeRepresent virtual machine VmiThe memory value of current residual, ρ represents free memory penalty coefficient, can generally be set to its value
4, the Vm for finally calculatingi_distRepresent the memory size that virtual machine should discharge；
4. it is big according to the virtual machine releasing memory calculated in step 2 when host memory utilization rate exceedes certain threshold value
The small actual free memory come to each virtual machine is limited accordingly；
5. when host memory utilization rate drops to a certain specific threshold, to the limitation of virutal machine memory in cancellation step 4, with
Ensure only just to enable real time virtual machine scheduling memory strategy in the case of host memory inadequate resource.
The beneficial effect of this method is：Characteristic with real time virtual machine Memory Allocation Strategy, is primarily referred to as in main frame
The mode of memory source Real-Time Scheduling is carried out in the case of depositing resource anxiety to the virtual machine in main frame, and can be according to internal memory
Service condition and internal memory priority more accurately judge the virtual machine memory size to be discharged, with what is optimized
Memory configurations, then by increasing activation and cancelling real-time allocation strategy, it is ensured that host memory owns under normal circumstances
Virtual machine can normally run according to predetermined configurations, improve Virtual Machine Manager quality.
As shown in Fig. 2 it is 90% to set activation virutal machine memory scheduling thresholds, i.e., host memory utilization rate reaches 90% and opens
Begin to perform virutal machine memory scheduling strategy, inquire about each virutal machine memory use state, the internal memory of 4 virtual machines is matched somebody with somebody in such as Fig. 2
Put and be 4G, free memory is respectively 3G, 2G, 1G, 1G, but virtual machine Vm4Internal memory priority level initializing be 2048, next step
Formula in Memory Allocation Strategy calculates the internal memory discharged required for final virtual machine, and then by each virutal machine memory
Redistributed according to result of calculation so that the internal memory for discharging is able to slow down host memory pressure, as shown in Fig. 24 void
Plan machine memory configurations are changed into 1.4G, 2.3G, 3.2G, 3.5G respectively, although virtual machine Vm3With virtual machine Vm4Equal residue 1G internal memories,
But due to virtual machine Vm4Internal memory priority is higher than Vm3, therefore Vm4Vm is greater than with the internal memory for postponing3, until host memory makes
Certain threshold value is reduced to rate and then cancels real time virtual machine memory configurations, return to the original memory configurations of virtual machine.
Fig. 3 is refer to, Fig. 3 is a kind of structural representation of real time virtual machine scheduling memory device provided by the present invention,
For realizing above-mentioned real time virtual machine scheduling memory method, the device includes：
Judge module 101, for when host memory resource exceedes predetermined threshold value, judging that host memory resource is in anxiety
State；
Enquiry module 102, for when host memory resource is in tension, inquiring about virutal machine memory utilization rate；
Computing module 103, for introducing space internal memory penalty coefficient, calculates releasing memory size；
Configuration module, for the internal memory of virtual machine to be reconfigured according to the releasing memory size calculated.
It can be seen that, the virutal machine memory scheduling when device considers that host memory resource is nervous, by detecting in virtual machine
Resource utilization is deposited, space internal memory penalty coefficient is introduced, and then calculates the internal memory that virtual machine should discharge, according to what is calculated
Releasing memory size carries out reconfiguring for virutal machine memory, host memory pressure is alleviated with this, so in host memory
Resource carries out memory source Real-Time Scheduling to the virtual machine in main frame in the case of nervous, and can be according to internal memory service condition
More accurately judge the virtual machine memory size to be discharged, with the memory configurations for being optimized, realize that memory optimization is matched somebody with somebody
Put, it is to avoid the waste of memory source.
Based on said apparatus, further, described device also includes：Monitoring module, for being monitored to virtual machine, will
Virutal machine memory seizure condition updates once every one section of Preset Time.So virutal machine memory is accounted in real time using monitoring module
It is updated with state, it is ensured that the real-time of scheduling memory.
Further, described device also includes：Recovery module, for being reduced to default threshold when host memory resource utilization
During value, the internal memory of virtual machine is returned into the original memory configurations of virtual machine.Recovery module so is utilized, when host memory resource
When no longer nervous, Memory Allocation is cancelled in good time, to recover virutal machine memory normal configuration so that each virtual machine is normal on main frame
Operation.
Wherein, the virtual machine is located in main frame, and the number of virtual machine is at least one.
Wherein, the formula of computing module calculating releasing memory size is as follows：
Wherein KPUNISHVirtual machine free memory punishment proportion is represented, the value is smaller, answers releasing memory value bigger,
Vmi_ Shares represents the value of virutal machine memory priority, Vmi_actRepresent virtual machine VmiThe memory value being being currently used,
Vmi_freeRepresent virtual machine VmiThe memory value of current residual, ρ represents free memory penalty coefficient, can generally be set to its value
4, the Vm for finally calculatingi_distRepresent the memory size that virtual machine should discharge.
A kind of real time virtual machine scheduling memory method and device provided by the present invention is described in detail above.This
Apply specific case in text to be set forth principle of the invention and implementation method, the explanation of above example is only intended to
Help understands the method for the present invention and its core concept.It should be pointed out that for those skilled in the art,
Without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, these are improved and modification also falls
Enter in the protection domain of the claims in the present invention.
Claims (8)
1. a kind of real time virtual machine scheduling memory method, it is characterised in that including：
When host memory resource exceedes predetermined threshold value, judge that host memory resource is in tension；
When host memory resource is in tension, virutal machine memory utilization rate is inquired about；
Space internal memory penalty coefficient is introduced, releasing memory size is calculated；
The internal memory of virtual machine is reconfigured according to the releasing memory size calculated.
2. the method for claim 1, it is characterised in that also include：
Virtual machine is monitored, virutal machine memory seizure condition is updated once every one section of Preset Time.
3. the method for claim 1, it is characterised in that the internal memory of virtual machine is big according to the releasing memory for calculating
It is small after being reconfigured, also to include：
When host memory resource utilization is reduced to predetermined threshold value, the internal memory of virtual machine is returned into the original internal memory of virtual machine
Configuration.
4. the method as described in any one in claims 1 to 3, it is characterised in that the virtual machine is located in main frame, virtually
The number of machine is at least one.
5. a kind of real time virtual machine scheduling memory device, it is characterised in that for realizing such as any one in Claims 1-4
Described method, including：
Judge module, for when host memory resource exceedes predetermined threshold value, judging that host memory resource is in tension；
Enquiry module, for when host memory resource is in tension, inquiring about virutal machine memory utilization rate；
Computing module, for introducing space internal memory penalty coefficient, calculates releasing memory size；
Configuration module, for the internal memory of virtual machine to be reconfigured according to the releasing memory size calculated.
6. device as claimed in claim 5, it is characterised in that also include：
Monitoring module, for being monitored to virtual machine, one is updated by virutal machine memory seizure condition every one section of Preset Time
It is secondary.
7. device as claimed in claim 5, it is characterised in that also include：
Recovery module, for when host memory resource utilization is reduced to predetermined threshold value, the internal memory of virtual machine being returned into void
The original memory configurations of plan machine.
8. the device as described in any one in claim 5 to 7, it is characterised in that the virtual machine is located in main frame, virtually
The number of machine is at least one.
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| WO2022170769A1 (en) * | 2021-02-10 | 2022-08-18 | 华为技术有限公司 | Communication method, apparatus, and system |
| CN113626196A (en) * | 2021-08-12 | 2021-11-09 | 杭州海康威视数字技术股份有限公司 | Task sending method and device |
| CN115794305A (en) * | 2023-01-09 | 2023-03-14 | 苏州浪潮智能科技有限公司 | Virtual machine memory adjusting method and device, storage medium and electronic device |
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