CN106776049A - A kind of Memory Optimize Method and device - Google Patents
A kind of Memory Optimize Method and device Download PDFInfo
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- CN106776049A CN106776049A CN201710103459.8A CN201710103459A CN106776049A CN 106776049 A CN106776049 A CN 106776049A CN 201710103459 A CN201710103459 A CN 201710103459A CN 106776049 A CN106776049 A CN 106776049A
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- virtual machine
- concurrent
- threshold value
- internal memory
- pressure threshold
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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
-
- 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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Abstract
This application discloses a kind of Memory Optimize Method and device, the method includes the implementation status of each virtual machine of monitor in real time, and calculate each virtual machine receives request amount；Judge that whether each virtual machine receives the number of concurrent of request amount and reaches preset pressure threshold value；The virtual machine that number of concurrent reaches the preset pressure threshold value is carried out into slack resources dynamically distributes.The device includes monitoring and computing unit, and for the implementation status of each virtual machine of monitor in real time, calculate each virtual machine receives request amount；Whether judging unit, preset pressure threshold value is reached for judging that each virtual machine receives the number of concurrent of request amount；Allocation unit, the virtual machine for number of concurrent to be reached the preset pressure threshold value carries out slack resources dynamically distributes.The above method and device can reduce its memory pressure, it is to avoid in a long time because Resource dynamic allocation causes the situation of the exclusive major part resource of a certain service to occur.
Description
Technical field
The invention belongs to virtualize field of cloud computer technology, more particularly to a kind of Memory Optimize Method and device.
Background technology
Intel Virtualization Technology and the fast development of cloud computing so that the use of resource has obtained maximized performance.Virtualization
Realization mainly has three parts：CPU virtualizations, internal memory virtualization and I/O virtualization.Wherein I/O virtualization is the master that resource is accessed
Wanting approach, I/O virtualization includes the I/O Request between management virtual unit and shared physical hardware, and SR-IOV technologies are bases
In I/O virtualization.Based on the technology of virtualization, system can realize reasonable distribution and the scheduling of resource, and this is greatly improved cloud
The utilization rate of service platform resource, greatly enhances platform service and receives the ability of request, and for user, can enjoy more
Good Consumer's Experience.But at present when traditional internet industry is in IA frame serverPC, the utilization of resources is low, it is impossible to realize compared with
Good request crushing resistance.
The content of the invention
To solve the above problems, the invention provides a kind of Memory Optimize Method and device, low-load pressure can be made
Virtual machine releasing idling internal memory enters available memory pool, and the virtual machine of load pressure applies for internal memory to drop from available memory pool
Low its memory pressure, it is to avoid in a long time because Resource dynamic allocation causes the situation of the exclusive major part resource of a certain service to be sent out
It is raw.
A kind of Memory Optimize Method that the present invention is provided, including：
The implementation status of monitor in real time each virtual machine, calculate each virtual machine receives request amount；
Judge that whether each virtual machine receives the number of concurrent of request amount and reaches preset pressure threshold value；
The virtual machine that number of concurrent reaches the preset pressure threshold value is carried out into slack resources dynamically distributes.
Preferably, in above-mentioned Memory Optimize Method,
It is described calculate each virtual machine receive request amount after, also include：
Be that each virtual machine sets corresponding internal memory weights, and by the number of concurrent and corresponding internal memory weights be multiplied to
The preset pressure threshold value is compared.
Preferably, in above-mentioned Memory Optimize Method,
The preset pressure threshold value is multiplied by 160% for the inverse of the number of physical services machine.
Preferably, in above-mentioned Memory Optimize Method,
The implementation status of each virtual machine of monitor in real time is：
Using the implementation status of each virtual machine of VMM mode monitor in real time.
Preferably, in above-mentioned Memory Optimize Method,
It is described carry out slack resources dynamically distributes after, also include：
IO is optimized using SR-IOV technologies.
A kind of internal memory optimization device that the present invention is provided, including：
Monitoring and computing unit, for the implementation status of each virtual machine of monitor in real time, calculate the receiving of each virtual machine
Request amount；
Whether judging unit, preset pressure threshold value is reached for judging that each virtual machine receives the number of concurrent of request amount；
Allocation unit, the virtual machine for number of concurrent to be reached the preset pressure threshold value carries out slack resources and dynamically divides
Match somebody with somebody.
Preferably, in above-mentioned internal memory optimization device, also include：
Weights setting unit, for being that each virtual machine sets corresponding internal memory weights, and by the number of concurrent with it is corresponding
Internal memory weights be multiplied to be compared with the preset pressure threshold value.
Preferably, in above-mentioned internal memory optimization device, the judging unit is used to judge that each virtual machine receives request amount
The inverse of the number of concurrent number that whether reaches physical services machine be multiplied by 160%.
Preferably, in above-mentioned internal memory optimization device, the monitoring and computing unit are specifically for real-time using VMM modes
Monitor the implementation status of each virtual machine.
Preferably, in above-mentioned internal memory optimization device, also include：
IO optimizes unit, for being optimized to IO using SR-IOV technologies.
The above-mentioned Memory Optimize Method and device provided by foregoing description, the present invention, due to the method, including reality
When monitor the implementation status of each virtual machine, calculate each virtual machine receives request amount；Judge that each virtual machine receives request
Whether the number of concurrent of amount reaches preset pressure threshold value；The virtual machine that number of concurrent reaches the preset pressure threshold value is carried out into idle money
Source dynamically distributes, the virtual machine releasing idling internal memory therefore, it is possible to make low-load pressure enters available memory pool, load pressure
Virtual machine apply for internal memory from available memory pool to reduce its memory pressure, it is to avoid in a long time because Resource dynamic allocation
The situation of the exclusive major part resource of a certain service is caused to occur.
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.
The schematic diagram of the first Memory Optimize Method that Fig. 1 is provided for the embodiment of the present application；
The system schematic used by the 4th kind of Memory Optimize Method that Fig. 2 is provided for the embodiment of the present application；
The schematic diagram of the first internal memory optimization device that Fig. 3 is provided for the embodiment of the present application.
Specific embodiment
Core concept of the invention is to provide a kind of Memory Optimize Method and device, can make the virtual of low-load pressure
Machine releasing idling internal memory enters available memory pool, and the virtual machine of load pressure applies for internal memory to reduce it from available memory pool
Memory pressure, it is to avoid in a long time because Resource dynamic allocation causes the situation of the exclusive major part resource of a certain service to occur.
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The first Memory Optimize Method that the embodiment of the present application is provided is as shown in figure 1, Fig. 1 is for the embodiment of the present application is provided
The schematic diagram of the first Memory Optimize Method, the method comprises the following steps：
S1：The implementation status of monitor in real time each virtual machine, calculate each virtual machine receives request amount；
In this step, mainly monitoring service overall request situation, including monitor each Virtual Service request treatment shape
Condition, so, the request to reaching service has overall calculating, also to there is the scattered monitoring of each Virtual Service, is monitored
Data.
S2：Judge that whether each virtual machine receives the number of concurrent of request amount and reaches preset pressure threshold value；
S3：The virtual machine that number of concurrent reaches the preset pressure threshold value is carried out into slack resources dynamically distributes.
It should be noted that monitor of virtual machine is distributed according to need according to demand for the management of internal memory under virtual technology.
Above-mentioned the first Memory Optimize Method provided by foregoing description, the embodiment of the present application, due to including reality
When monitor the implementation status of each virtual machine, calculate each virtual machine receives request amount；Judge that each virtual machine receives request
Whether the number of concurrent of amount reaches preset pressure threshold value；The virtual machine that number of concurrent reaches the preset pressure threshold value is carried out into idle money
Source dynamically distributes, the virtual machine releasing idling internal memory therefore, it is possible to make low-load pressure enters available memory pool, load pressure
Virtual machine apply for internal memory from available memory pool to reduce its memory pressure, it is to avoid in a long time because Resource dynamic allocation
The situation of the exclusive major part resource of a certain service is caused to occur.
Second Memory Optimize Method that the embodiment of the present application is provided, is on the basis of above-mentioned the first Memory Optimize Method
On, also including following technical characteristic：
It is described calculate each virtual machine receive request amount after, also include：
Be that each virtual machine sets corresponding internal memory weights, and by the number of concurrent and corresponding internal memory weights be multiplied to
The preset pressure threshold value is compared.
It should be noted that the ratio that each virtual server disposition accounts for whole request is analyzed, and it is big according to internal memory
It is small, determine whether to reach the threshold values for needing optimization, adjust request receives optimisation strategy, this makes it possible to according to each virtual machine
Disposal ability is respectively provided with respective internal memory weights, so more targeted.
The third Memory Optimize Method that the embodiment of the present application is provided, is on the basis of above-mentioned second Memory Optimize Method
On, also including following technical characteristic：
The preset pressure threshold value is multiplied by 160% for the inverse of the number of physical services machine.
It should be noted that this is to ensure every efficiency of virtual server, certainly, numerical value herein is not constituted
Limit, can essentially according to circumstances be adjusted.
The 4th kind of Memory Optimize Method that the embodiment of the present application is provided, is on the basis of above-mentioned the third Memory Optimize Method
On, also including following technical characteristic：
The implementation status of each virtual machine of monitor in real time is：
Using the implementation status of each virtual machine of VMM mode monitor in real time.
It should be noted that VMM herein is Virtual Machine Monitor, that is, monitor of virtual machine.Tool
Body as shown in Fig. 2 system schematic used by the 4th kind of Memory Optimize Method being provided for the embodiment of the present application of Fig. 2, utilizes
The multiple dummy nodes of VMM monitoring, each dummy node includes multiple virtual machines, and each dummy node corresponds to a physical machine
Server, using monitored results, internal memory can be carried out between different virtual machines and is dynamically adjusted.
The 5th kind of Memory Optimize Method that the embodiment of the present application is provided, be it is above-mentioned the first to the 4th kind of internal memory optimization side
In method on the basis of any one, also including following technical characteristic：
It is described carry out slack resources dynamically distributes after, also include：
IO is optimized using SR-IOV technologies.
It should be noted that SR-IOV must be supported used herein of network card equipment), the permission of SR-IOV standards is in IO and virtually
Efficiently shared PCIe device between machine, SR-IOV equipment can have hundreds of virtual work(associated with certain physical function (PF)
Energy (VF).
Such scheme is illustrated with a specific example below：
For example：N platform virtual servers on m platform physical services machines, wherein n >=m, and memory size is identical.
1) request amount that server is reached in timing is r, and the request amount that receives of each virtual machine is ri, separate unit Virtual Service
Device normal process request handling rate beWherein r=∑s ri。
2) threshold θ=(1/m) * 160%, to ensure every efficiency of virtual server, can be adjusted by actual conditions.
3) α is worked asiDuring >=θ, you can start slack resources dynamically distributes.
If the memory size of 4 every virtual servers is different, need to be plus internal memory weights in computation requests handling rate only
Can include：
A) every virtual server internal memory weightsWherein miIt is every virtual server
Memory value, m is virtual server internal memory summation；
B) every request handling rate
C) threshold valuesIt is the corresponding threshold values of every virtual server；
D) judge to work asWhen, you can start slack resources dynamically distributes.
Then data-handling efficiency, mainly IO input and output aspect are further maximized in conjunction with SR-IOV technologies.
The first internal memory optimization device that the embodiment of the present application is provided is as shown in figure 3, Fig. 3 is for the embodiment of the present application is provided
The schematic diagram of the first internal memory optimization device, the device includes：
Monitoring and computing unit 201, for the implementation status of each virtual machine of monitor in real time, calculate connecing for each virtual machine
By request amount, mainly monitoring service overall request situation, including each Virtual Service request treatment situation is monitored, it is so, right
The request for reaching service has overall calculating, also to there is the scattered monitoring of each Virtual Service, obtains Monitoring Data；
Whether judging unit 202, preset pressure threshold value is reached for judging that each virtual machine receives the number of concurrent of request amount；
Allocation unit 203, the virtual machine for number of concurrent to be reached the preset pressure threshold value carries out slack resources dynamic
Distribution, monitor of virtual machine is distributed according to need according to demand for the management of internal memory under virtual technology.
Second internal memory optimization device that the embodiment of the present application is provided, is on the basis of above-mentioned the first internal memory optimization device
On, also including following technical characteristic：
Weights setting unit, for being that each virtual machine sets corresponding internal memory weights, and by the number of concurrent with it is corresponding
Internal memory weights be multiplied to be compared with the preset pressure threshold value.
It should be noted that the ratio that each virtual server disposition accounts for whole request is analyzed, and it is big according to internal memory
It is small, determine whether to reach the threshold values for needing optimization, adjust request receives optimisation strategy, this makes it possible to according to each virtual machine
Disposal ability is respectively provided with respective internal memory weights, so more targeted.
The third internal memory optimization device that the embodiment of the present application is provided, is on the basis of above-mentioned second internal memory optimization device
On, also including following technical characteristic：
The judging unit is used to judge that whether each virtual machine receives the number of concurrent of request amount and reaches physical services machine
The inverse of number is multiplied by 160%.
It should be noted that this is to ensure every efficiency of virtual server, certainly, numerical value herein is not constituted
Limit, can essentially according to circumstances be adjusted.
The 4th kind of internal memory optimization device that the embodiment of the present application is provided, is on the basis of above-mentioned the third internal memory optimization device
On, also including following technical characteristic：
The monitoring and computing unit are specifically for the implementation status using each virtual machine of VMM mode monitor in real time.
It should be noted that VMM herein is Virtual Machine Monitor, that is, monitor of virtual machine.Profit
Multiple dummy nodes are monitored with VMM, each dummy node includes multiple virtual machines, and each dummy node corresponds to a physics
Machine server, using monitored results, internal memory can be carried out between different virtual machines and is dynamically adjusted.
The 5th kind of internal memory optimization device that the embodiment of the present application is provided, be it is above-mentioned the first fill to the 4th kind of internal memory optimization
On the basis of putting any one, also including following technical characteristic：
IO optimizes unit, for being optimized to IO using SR-IOV technologies.
It should be noted that SR-IOV must be supported used herein of network card equipment), the permission of SR-IOV standards is in IO and virtually
Efficiently shared PCIe device between machine, SR-IOV equipment can have hundreds of virtual work(associated with certain physical function (PF)
Energy (VF).
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or uses the present invention.
Various modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The scope most wide for causing.
Claims (10)
1. a kind of Memory Optimize Method, it is characterised in that including：
The implementation status of monitor in real time each virtual machine, calculate each virtual machine receives request amount；
Judge that whether each virtual machine receives the number of concurrent of request amount and reaches preset pressure threshold value；
The virtual machine that number of concurrent reaches the preset pressure threshold value is carried out into slack resources dynamically distributes.
2. Memory Optimize Method according to claim 1, it is characterised in that
It is described calculate each virtual machine receive request amount after, also include：
Be that each virtual machine sets corresponding internal memory weights, and by the number of concurrent and corresponding internal memory weights be multiplied to it is described
Preset pressure threshold value is compared.
3. Memory Optimize Method according to claim 2, it is characterised in that the preset pressure threshold value is physical services machine
The inverse of number be multiplied by 160%.
4. Memory Optimize Method according to claim 3, it is characterised in that
The implementation status of each virtual machine of monitor in real time is：
Using the implementation status of each virtual machine of VMM mode monitor in real time.
5. the Memory Optimize Method according to claim any one of 1-4, it is characterised in that
It is described carry out slack resources dynamically distributes after, also include：
IO is optimized using SR-IOV technologies.
6. a kind of internal memory optimization device, it is characterised in that including：
Monitoring and computing unit, for the implementation status of each virtual machine of monitor in real time, calculate the receiving request of each virtual machine
Amount；
Whether judging unit, preset pressure threshold value is reached for judging that each virtual machine receives the number of concurrent of request amount；
Allocation unit, the virtual machine for number of concurrent to be reached the preset pressure threshold value carries out slack resources dynamically distributes.
7. internal memory optimization device according to claim 6, it is characterised in that also include：
Weights setting unit for setting corresponding internal memory weights and the number of concurrent is interior with corresponding for each virtual machine
Weights are deposited to be multiplied to be compared with the preset pressure threshold value.
8. internal memory optimization device according to claim 7, it is characterised in that the judging unit is used to judge that each is virtual
The inverse of the number whether number of concurrent that machine receives request amount reaches physical services machine is multiplied by 160%.
9. internal memory optimization device according to claim 8, it is characterised in that
The monitoring and computing unit are specifically for the implementation status using each virtual machine of VMM mode monitor in real time.
10. the internal memory optimization device according to claim any one of 6-9, it is characterised in that also include：
IO optimizes unit, for being optimized to IO using SR-IOV technologies.
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| CN103713956A (en) * | 2014-01-06 | 2014-04-09 | 山东大学 | Method for intelligent weighing load balance in cloud computing virtualized management environment |
| CN104657215A (en) * | 2013-11-19 | 2015-05-27 | 南京鼎盟科技有限公司 | Virtualization energy-saving system in Cloud computing |
| CN106201721A (en) * | 2016-07-12 | 2016-12-07 | 浪潮(北京)电子信息产业有限公司 | A kind of internal memory dynamic adjusting method based on Intel Virtualization Technology and system |
-
2017
- 2017-02-24 CN CN201710103459.8A patent/CN106776049A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104657215A (en) * | 2013-11-19 | 2015-05-27 | 南京鼎盟科技有限公司 | Virtualization energy-saving system in Cloud computing |
| CN103713956A (en) * | 2014-01-06 | 2014-04-09 | 山东大学 | Method for intelligent weighing load balance in cloud computing virtualized management environment |
| CN106201721A (en) * | 2016-07-12 | 2016-12-07 | 浪潮(北京)电子信息产业有限公司 | A kind of internal memory dynamic adjusting method based on Intel Virtualization Technology and system |
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