CN103617076A - Method and system for dispatching virtualized resources and server - Google Patents
Method and system for dispatching virtualized resources and server Download PDFInfo
- Publication number
- CN103617076A CN103617076A CN201310533235.2A CN201310533235A CN103617076A CN 103617076 A CN103617076 A CN 103617076A CN 201310533235 A CN201310533235 A CN 201310533235A CN 103617076 A CN103617076 A CN 103617076A
- Authority
- CN
- China
- Prior art keywords
- main frame
- performance data
- resource utilization
- virtual machine
- upper limit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Debugging And Monitoring (AREA)
Abstract
The invention provides a method for automatically dispatching virtualized resources. The method comprises the steps that performance data of host computers and performance data of virtual machines are regularly obtained and the obtained data are stored in a database; according to the obtained performance data of the host computers, the resource using rate of the host computers is determined and according to the obtained performance data of the virtual machines, the resource using rate of the virtual machines is determined; when the performance data of the host computers exceeds a preset upper limit threshold value, the virtual machine which satisfies the first transferring condition and has the largest resource using rate in the host computer with the largest resource using rate is transferred to the host computer with the lowest resource using rate; the first transferring condition is that after the virtual machine is transferred, the performance data of the host computer which the virtual machine is transferred to and is the lowest in resource using rate do not exceed the difference between the upper limit threshold value and a preset unoccupied value. The invention further provides a server corresponding to the method and a system corresponding to the method. According to the method and system for automatically dispatching the virtualized resources and the server, the resources of the system are thoroughly utilized, redundant loss of a cloud data center is reduced, and waste of the virtualized resources and overuse of the virtualized resources are avoided.
Description
Technical field
The present invention relates to cloud computing technology field, internet, relate in particular to a kind of dispatching method and system and service end of virtual resources.
Background technology
In cloud computing technology field, internet, the top priority of cloud computing system is effectively to manage energy consumption resource, to respond rapidly the given task of user, in program operation process, need the various resources of occupying computing machine to move, angle from resource provisioning, system resource is limited, when the program of operation is when a lot, can have resource exhaustion and cannot move more multiprogrammable problem.Once generation resource contention, just loses the managerial ability to some resource, causes systemic breakdown.
Summary of the invention
The object of the invention is to propose a kind of dispatching method and system and service end of virtual resources, can manage virtual resources concentratedly, thereby more rationally utilize cloud computing system resource.
In order to achieve the above object, the present invention proposes a kind of dispatching method of virtual resources, it is characterized in that, comprising:
Regularly obtain the performance data of main frame and the performance data of virtual machine, and the data of acquisition are saved in database;
According to the performance data of the main frame obtaining, determine the resource utilization of main frame, according to the performance data of the virtual machine obtaining, determine the resource utilization of virtual machine;
When the performance data of main frame surpasses default upper limit threshold, by the main frame of resource utilization maximum, the virtual machine (vm) migration that meets the first transition condition and resource utilization maximum is in the minimum main frame of resource utilization; Wherein, the first transition condition is: after virtual machine (vm) migration, the performance data of the main frame that the resource utilization that migrates to is minimum is no more than the poor of described upper limit threshold and default vacant value.
Preferably, set in advance lower threshold; The method also comprises: when the performance data of described main frame is during lower than described lower threshold,
All virtual machine (vm) migrations in the minimum main frame of described resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition;
Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of described upper limit threshold and described vacant value.
Preferably, described performance data comprises CPU usage and memory usage.
Preferably, the performance data of described main frame comprises over default upper limit threshold:
The CPU usage of described main frame or memory usage surpass described default upper limit threshold;
Described the first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of described upper limit threshold and default vacant value.
Preferably, the performance data of described main frame comprises lower than described lower threshold: the CPU usage of described main frame or memory usage are lower than described lower threshold;
Described the second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of described upper limit threshold and described vacant value.
The present invention also proposes a kind of service end, at least comprises:
Acquisition module, for regularly obtaining the performance data of main frame and the performance data of virtual machine, and is saved in the data of acquisition in database;
Order module, for determine the resource utilization of main frame according to the performance data of the main frame obtaining, determines the resource utilization of virtual machine according to the performance data of the virtual machine obtaining;
Transferring module, while surpassing default upper limit threshold for the performance data when main frame, by the main frame of resource utilization maximum, the virtual machine (vm) migration that meets the first transition condition and resource utilization maximum is in the minimum main frame of resource utilization; Wherein, the first transition condition is: after virtual machine (vm) migration, the performance data of the main frame that the resource utilization that migrates to is minimum is no more than the poor of described upper limit threshold and default vacant value.
Preferably, described transferring module also for:
Set in advance lower threshold, when the performance data of described main frame is during lower than described lower threshold,
All virtual machine (vm) migrations in the minimum main frame of described resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition;
Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of described upper limit threshold and described vacant value.
Preferably, described performance data comprises CPU usage and memory usage.
Preferably, the performance data of described main frame comprises over default upper limit threshold:
The CPU usage of described main frame or memory usage surpass described default upper limit threshold;
Described the first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of described upper limit threshold and default vacant value.
Preferably, the performance data of described main frame comprises lower than described lower threshold: the CPU usage of described main frame or memory usage are lower than described lower threshold;
Described the second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of described upper limit threshold and described vacant value.
The present invention also proposes a kind of dispatching system of virtual resources, at least comprises:
Service end, for regularly obtaining the performance data of main frame and the performance data of virtual machine, and is saved in the data of acquisition in database; According to the performance data of the main frame obtaining, determine the resource utilization of main frame, according to the performance data of the virtual machine obtaining, determine the resource utilization of virtual machine; When the performance data of main frame surpasses default upper limit threshold, by the main frame of resource utilization maximum, the virtual machine (vm) migration that meets the first transition condition and resource utilization maximum is in the minimum main frame of resource utilization; Wherein, the first transition condition is: after virtual machine (vm) migration, the performance data of the main frame that the resource utilization that migrates to is minimum is no more than the poor of described upper limit threshold and default vacant value;
Memory storage, the main frame regularly obtaining for stores service end and the performance data of virtual machine.
Preferably, described service end also for:
Set in advance lower threshold; When the performance data of described main frame is during lower than described lower threshold,
All virtual machine (vm) migrations in the minimum main frame of described resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition;
Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of described upper limit threshold and described vacant value.
Preferably, described performance data comprises CPU usage and memory usage.
Preferably, the performance data of described main frame comprises over default upper limit threshold:
The CPU usage of described main frame or memory usage surpass described default upper limit threshold;
Described the first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of described upper limit threshold and default vacant value.
Preferably, the performance data of described main frame comprises lower than described lower threshold: the CPU usage of described main frame or memory usage are lower than described lower threshold;
Described the second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of described upper limit threshold and described vacant value.
The present invention is by regularly obtaining the performance data of main frame and virtual machine in cloud computing system, according to the performance data obtaining, virtual resources is managed concentratedly, take full advantage of the resource of system, reduce the unnecessary loss of Liao Yun data center, avoid the waste of virtual resources and excessively use.
Accompanying drawing explanation
Below the accompanying drawing in the embodiment of the present invention is described, the accompanying drawing in embodiment is for a further understanding of the present invention, is used from explanation the present invention with instructions one, does not form limiting the scope of the invention.
Fig. 1 is the dispatching method process flow diagram of the virtual resources that proposes of the present invention;
Fig. 2 obtains the performance data of main frame and the performance data method flow diagram of virtual machine in the dispatching method that proposes of the present invention;
Fig. 3 is 2-D data sequence schematic diagram of the present invention;
Fig. 4 is the structure composition diagram of the service end that proposes of the present invention.
Embodiment
For the ease of those skilled in the art's understanding, below in conjunction with accompanying drawing, the invention will be further described, can not be used for limiting the scope of the invention.
Referring to Fig. 1, the present invention proposes a kind of dispatching method of virtual resources, comprising:
Set in advance lower threshold; The method also comprises:
Step 103, when the performance data of main frame is during lower than lower threshold, all virtual machine (vm) migrations in the minimum main frame of resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition; Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of upper limit threshold and described vacant value.
In step 100, performance data comprises CPU usage and memory usage.
So, in step 102, judge whether the performance data of main frame surpasses default upper limit threshold, be specially and judge whether the CPU usage of main frame or memory usage surpass default upper limit threshold.
And the first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of upper limit threshold and default vacant value.
Whether the performance data that judges main frame in step 103 is specially and judges that whether the CPU usage of main frame or memory usage are lower than default lower threshold lower than default lower threshold.
And the second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of upper limit threshold and vacant value.
Referring to Fig. 2, in step 100, the method for employing client-service end is regularly obtained the performance data of main frame and virtual machine, and the method comprises:
The performance data that step 203, service end report main frame is saved in database.
Referring to Fig. 3, in step 101, can adopt two-dimensional array sort algorithm to sort to the resource utilization of main frame and virtual machine.User can self-defined n * n two-dimensional array, be about to CPU and memory usage and be divided into n equal portions, n is predetermined integers.By X-axis, represent CPU, by Y-axis, represent internal memory, element representation resource utilization in two-dimensional array, user can adjust according to the demand of oneself obtaining value method of element, for example, in Fig. 3, the weight proportion of CPU and memory usage is made as to 1:1, represents that CPU and two performance datas of memory usage are of equal importance.
In Fig. 3, if any two groups of data (7,5) and (6,8), value corresponding to (7,5) is 37, and resource utilization is 37, and value corresponding to (6,8) is 43, and resource utilization is 43, thinks that so (7,5) resource utilization is less than (6,8).
In step 102, can be, but not limited to adopt following methods to judge whether to exist CPU or memory usage to surpass the main frame of default upper limit threshold: in data acquisition, add up CPU and the memory usage average of main frame in nearest m second schedule time, if the CPU of a certain main frame or memory usage average have the default upper limit threshold of surpassing, can think and have the main frame that surpasses upper limit threshold.Wherein, m is default integer.
In step 103, can be, but not limited to adopt following methods to judge whether to exist CPU or memory usage lower than the main frame of default lower threshold: in data acquisition, add up CPU and the memory usage average of main frame in nearest m second schedule time, if the CPU of a certain main frame or memory usage average have lower than default lower threshold, can think and have the main frame lower than default lower threshold.Wherein, m is default integer.
Below by the explanation of instantiation how according to put in order preferential by the virtual machine (vm) migration of resource utilization maximum in the main frame of resource utilization maximum in the lower main frame of resource utilization, and CPU or the memory usage of the main frame that after migration, resource utilization is lower are no more than default upper limit threshold.
Suppose that the default upper limit threshold of CPU usage is 60%, default lower threshold is 20%, and the default upper limit threshold of memory usage is 80%, and default lower threshold is 8%.
Suppose that the performance data of host A and host B is as following table.
Traversal All hosts, only has host A to meet CPU usage and surpasses 60%, so host A need to move virtual machine.
After all virtual machines under host A are sorted, be virtual machine A1, virtual machine A2, virtual machine A3.
According to the order of arranging, first judge whether virtual machine A1 can move to host B, concrete grammar is: when virtual machine A1 moves to after host B, whether the CPU of host B or memory usage surpass default upper limit threshold, if surpass, can not move, if all do not surpass, can move.When whether the CPU of judgement migration aft engine B or memory usage surpass default upper limit threshold, also need to consider reserved certain vacant value (as 10%).
Can adopt following formula to calculate and move to after host B as virtual machine A1, whether the CPU of host B or memory usage be over default upper limit threshold, and the CPU usage of moving aft engine B is:
The total check figure of CPU of single CPU hertz number * host B of the CPU usage * host B of single CPU hertz number+host B of CPU usage * host A of virtual machine A1
Judge that whether the result of above formula calculating is greater than the total check figure of CPU of single CPU hertz number * host B of (the default upper limit threshold-default vacant value of CPU usage of host B) * host B, cannot move if be greater than, otherwise can move.Known according to the data calculating in table, result of calculation is for being greater than, and virtual machine A1 cannot move on host B so.
Adopt identical method to judge whether virtual machine A2 can move on host B, judgment result is that the CPU usage of host B also leaves 10% vacant value, the so memory usage of computation migration aft engine B when being no more than 60%:
The memory size of the memory usage * host B of the memory size+host B of memory usage * host A of virtual machine A2
The memory size of (upper limit threshold-default vacant value that host B memory usage the is default) * host B that judges whether above formula result of calculation is greater than, cannot move if be greater than, otherwise can move.Known virtual machine A2 cannot move on host B as calculated.
Known virtual machine A3 can migrate on host B equally, as calculated.
Referring to Fig. 4, the invention allows for a kind of service end, at least comprise:
Acquisition module, for regularly obtaining the performance data of main frame and the performance data of virtual machine, and is saved in the data of acquisition in database;
Order module, for determine the resource utilization of main frame according to the performance data of the main frame obtaining, determines the resource utilization of virtual machine according to the performance data of the virtual machine obtaining;
Transferring module, while surpassing default upper limit threshold for the performance data when main frame, by the main frame of resource utilization maximum, the virtual machine (vm) migration that meets the first transition condition and resource utilization maximum is in the minimum main frame of resource utilization; Wherein, the first transition condition is: after virtual machine (vm) migration, the performance data of the main frame that the resource utilization that migrates to is minimum is no more than the poor of described upper limit threshold and default vacant value.
Transferring module also for:
Set in advance lower threshold, when the performance data of main frame is during lower than lower threshold,
All virtual machine (vm) migrations in the minimum main frame of resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition;
Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of upper limit threshold and vacant value.
In above-mentioned service end, performance data comprises CPU usage and memory usage.
In above-mentioned service end, the performance data of main frame surpasses default upper limit threshold and comprises:
The CPU usage of described main frame or memory usage surpass described default upper limit threshold;
Described the first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of upper limit threshold and default vacant value.
In above-mentioned service end, the performance data of main frame comprises lower than described lower threshold: the CPU usage of described main frame or memory usage are lower than described lower threshold;
Described the second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of upper limit threshold and described vacant value.
The dispatching system that the invention allows for a kind of virtual resources, at least comprises:
Service end, for regularly obtaining the performance data of main frame and the performance data of virtual machine, and is saved in the data of acquisition in database; According to the performance data of the main frame obtaining, determine the resource utilization of main frame, according to the performance data of the virtual machine obtaining, determine the resource utilization of virtual machine; When the performance data of main frame surpasses default upper limit threshold, by the main frame of resource utilization maximum, the virtual machine (vm) migration that meets the first transition condition and resource utilization maximum is in the minimum main frame of resource utilization; Wherein, the first transition condition is: after virtual machine (vm) migration, the performance data of the main frame that the resource utilization that migrates to is minimum is no more than the poor of described upper limit threshold and default vacant value;
Memory storage, the main frame regularly obtaining for stores service end and the performance data of virtual machine.
Memory storage, the main frame regularly obtaining for stores service end and the performance data of virtual machine.
Service end also for:
Set in advance lower threshold; When the performance data of main frame is during lower than described lower threshold,
All virtual machine (vm) migrations in the minimum main frame of resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition;
Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of upper limit threshold and vacant value.
In said system, performance data comprises CPU usage and memory usage.
In said system, the performance data of main frame surpasses default upper limit threshold and comprises:
The CPU usage of main frame or memory usage surpass default upper limit threshold;
The first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of upper limit threshold and default vacant value.
In said system, the performance data of main frame comprises lower than lower threshold: the CPU usage of main frame or memory usage are lower than lower threshold;
The second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of upper limit threshold and vacant value.
The present invention is by regularly obtaining the performance data of main frame and the performance data of virtual machine in cloud computing system, according to the performance data obtaining, virtual resources is managed concentratedly, take full advantage of the resource of system, reduce the unnecessary loss of Liao Yun data center, avoid the waste of virtual resources and excessively use.
It should be noted that; above-described embodiment understands for the ease of those skilled in the art; be not limited to protection scope of the present invention; do not departing under the prerequisite of inventive concept of the present invention, any apparent replacement that those skilled in the art make the present invention and improvement etc. are all within protection scope of the present invention.
Claims (15)
1. a dispatching method for virtual resources, is characterized in that, comprising:
Regularly obtain the performance data of main frame and the performance data of virtual machine, and the data of acquisition are saved in database;
According to the performance data of the main frame obtaining, determine the resource utilization of main frame, according to the performance data of the virtual machine obtaining, determine the resource utilization of virtual machine;
When the performance data of main frame surpasses default upper limit threshold, by the main frame of resource utilization maximum, the virtual machine (vm) migration that meets the first transition condition and resource utilization maximum is in the minimum main frame of resource utilization; Wherein, the first transition condition is: after virtual machine (vm) migration, the performance data of the main frame that the resource utilization that migrates to is minimum is no more than the poor of described upper limit threshold and default vacant value.
2. dispatching method according to claim 1, is characterized in that, sets in advance lower threshold; The method also comprises: when the performance data of described main frame is during lower than described lower threshold,
All virtual machine (vm) migrations in the minimum main frame of described resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition;
Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of described upper limit threshold and described vacant value.
3. dispatching method according to claim 2, described performance data comprises CPU usage and memory usage.
4. according to the dispatching method described in claim 1 or 3, the performance data of described main frame surpasses default upper limit threshold and comprises:
The CPU usage of described main frame or memory usage surpass described default upper limit threshold;
Described the first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of described upper limit threshold and default vacant value.
5. dispatching method according to claim 3, the performance data of described main frame comprises lower than described lower threshold: the CPU usage of described main frame or memory usage are lower than described lower threshold;
Described the second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of described upper limit threshold and described vacant value.
6. a service end, is characterized in that, at least comprises:
Acquisition module, for regularly obtaining the performance data of main frame and the performance data of virtual machine, and is saved in the data of acquisition in database;
Order module, for determine the resource utilization of main frame according to the performance data of the main frame obtaining, determines the resource utilization of virtual machine according to the performance data of the virtual machine obtaining;
Transferring module, while surpassing default upper limit threshold for the performance data when main frame, by the main frame of resource utilization maximum, the virtual machine (vm) migration that meets the first transition condition and resource utilization maximum is in the minimum main frame of resource utilization; Wherein, the first transition condition is: after virtual machine (vm) migration, the performance data of the main frame that the resource utilization that migrates to is minimum is no more than the poor of described upper limit threshold and default vacant value.
7. service end according to claim 6, described transferring module also for:
Set in advance lower threshold, when the performance data of described main frame is during lower than described lower threshold,
All virtual machine (vm) migrations in the minimum main frame of described resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition;
Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of described upper limit threshold and described vacant value.
8. service end according to claim 7, described performance data comprises CPU usage and memory usage.
9. according to the service end described in claim 6 or 8, the performance data of described main frame surpasses default upper limit threshold and comprises:
The CPU usage of described main frame or memory usage surpass described default upper limit threshold;
Described the first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of described upper limit threshold and default vacant value.
10. service end according to claim 8, the performance data of described main frame comprises lower than described lower threshold: the CPU usage of described main frame or memory usage are lower than described lower threshold;
Described the second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of described upper limit threshold and described vacant value.
The dispatching system of 11. 1 kinds of virtual resources, is characterized in that, at least comprises:
Service end, for regularly obtaining the performance data of main frame and the performance data of virtual machine, and is saved in the data of acquisition in database; According to the performance data of the main frame obtaining, determine the resource utilization of main frame, according to the performance data of the virtual machine obtaining, determine the resource utilization of virtual machine; When the performance data of main frame surpasses default upper limit threshold, by the main frame of resource utilization maximum, the virtual machine (vm) migration that meets the first transition condition and resource utilization maximum is in the minimum main frame of resource utilization; Wherein, the first transition condition is: after virtual machine (vm) migration, the performance data of the main frame that the resource utilization that migrates to is minimum is no more than the poor of described upper limit threshold and default vacant value;
Memory storage, the main frame regularly obtaining for stores service end and the performance data of virtual machine.
The dispatching system of 12. virtual resources according to claim 11, described service end also for:
Set in advance lower threshold; When the performance data of described main frame is during lower than described lower threshold,
All virtual machine (vm) migrations in the minimum main frame of described resource utilization are arrived, in the main frame that in remaining other main frames, resource utilization is minimum, and meet the second transition condition;
Wherein, the second transition condition is: after virtual machine (vm) migration, the performance data of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, is no more than the poor of described upper limit threshold and described vacant value.
The dispatching system of 13. virtual resources according to claim 12, described performance data comprises CPU usage and memory usage.
14. according to the dispatching system of the virtual resources described in claim 11 or 13, and the performance data of described main frame surpasses default upper limit threshold and comprises:
The CPU usage of described main frame or memory usage surpass described default upper limit threshold;
Described the first transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that the resource utilization that migrates to is minimum, be all no more than the poor of described upper limit threshold and default vacant value.
The dispatching system of 15. virtual resources according to claim 13, the performance data of described main frame comprises lower than described lower threshold: the CPU usage of described main frame or memory usage are lower than described lower threshold;
Described the second transition condition is specially: after virtual machine (vm) migration, CPU usage and the memory usage of the main frame that described in remaining other main frames that migrate to, resource utilization is minimum, be all no more than the poor of described upper limit threshold and described vacant value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310533235.2A CN103617076A (en) | 2013-10-31 | 2013-10-31 | Method and system for dispatching virtualized resources and server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310533235.2A CN103617076A (en) | 2013-10-31 | 2013-10-31 | Method and system for dispatching virtualized resources and server |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103617076A true CN103617076A (en) | 2014-03-05 |
Family
ID=50167779
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310533235.2A Pending CN103617076A (en) | 2013-10-31 | 2013-10-31 | Method and system for dispatching virtualized resources and server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103617076A (en) |
Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015196885A1 (en) * | 2014-06-27 | 2015-12-30 | 阿里巴巴集团控股有限公司 | Method and apparatus for acquiring and storing performance data of cloud computing system |
| CN105373415A (en) * | 2014-08-28 | 2016-03-02 | 中兴通讯股份有限公司 | Virtualization based application storage method, execution method, apparatus and system |
| CN105404545A (en) * | 2015-12-03 | 2016-03-16 | 中国联合网络通信集团有限公司 | Virtual machine allocating method and apparatus |
| CN105635285A (en) * | 2015-12-30 | 2016-06-01 | 南京理工大学 | State-sensing-based VM migration scheduling method |
| CN105760227A (en) * | 2016-02-04 | 2016-07-13 | 中国联合网络通信集团有限公司 | Method and system for resource scheduling in cloud environment |
| CN105808341A (en) * | 2014-12-29 | 2016-07-27 | 中国移动通信集团公司 | Method, apparatus and system for scheduling resources |
| CN105955826A (en) * | 2016-05-10 | 2016-09-21 | 广东睿江云计算股份有限公司 | Control method and device of quality of service in cloud host system |
| CN106325999A (en) * | 2015-06-30 | 2017-01-11 | 华为技术有限公司 | Method and device for distributing resources of host machine |
| CN106681839A (en) * | 2016-12-31 | 2017-05-17 | 云宏信息科技股份有限公司 | Elasticity calculation dynamic allocation method |
| CN106844010A (en) * | 2017-01-20 | 2017-06-13 | 深信服科技股份有限公司 | Dram big page scheduling processing method and device |
| CN107220106A (en) * | 2017-06-27 | 2017-09-29 | 郑州云海信息技术有限公司 | A kind of resource regulating method and device |
| CN107239457A (en) * | 2016-03-28 | 2017-10-10 | 阿里巴巴集团控股有限公司 | Data archiving method and device |
| CN107239341A (en) * | 2017-05-27 | 2017-10-10 | 郑州云海信息技术有限公司 | A kind of resource translation method, system and resources of virtual machine scheduling system |
| CN107506233A (en) * | 2016-06-14 | 2017-12-22 | 深圳市深信服电子科技有限公司 | A kind of schedule virtual resources method, apparatus and server |
| CN107589981A (en) * | 2017-09-07 | 2018-01-16 | 北京百悟科技有限公司 | A kind of dynamic power management and dynamic resource scheduling method and device |
| CN107608765A (en) * | 2017-10-11 | 2018-01-19 | 郑州云海信息技术有限公司 | A kind of virtual machine migration method and device |
| CN108170525A (en) * | 2016-12-07 | 2018-06-15 | 晨星半导体股份有限公司 | The device and method of the task load configuration of dynamic adjustment multi-core processor |
| CN108874502A (en) * | 2018-05-31 | 2018-11-23 | 北京奇艺世纪科技有限公司 | Method for managing resource, device and the equipment of cloud computing cluster |
| CN109189574A (en) * | 2018-08-16 | 2019-01-11 | 郑州云海信息技术有限公司 | A kind of load equilibration scheduling method and system based on virtualization memory load monitoring |
| CN110034963A (en) * | 2019-04-18 | 2019-07-19 | 南京邮电大学盐城大数据研究院有限公司 | A kind of elastic configuration method that application cluster is adaptive |
| CN110545332A (en) * | 2019-09-30 | 2019-12-06 | 天津卓朗科技发展有限公司 | Server cluster balancing method and system |
| CN110737717A (en) * | 2018-07-03 | 2020-01-31 | 北京国双科技有限公司 | database migration method and device |
| CN111625333A (en) * | 2020-05-21 | 2020-09-04 | 慧众行知科技（北京）有限公司 | Module migration method and system |
| CN112416520A (en) * | 2020-11-21 | 2021-02-26 | 广州西麦科技股份有限公司 | Intelligent resource scheduling method based on vSphere |
| CN113448716A (en) * | 2020-03-24 | 2021-09-28 | 中兴通讯股份有限公司 | Resource adjusting method, computer equipment and storage medium |
| WO2021253851A1 (en) * | 2020-06-19 | 2021-12-23 | 浪潮电子信息产业股份有限公司 | Cluster distributed resource scheduling method, apparatus and device, and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060195715A1 (en) * | 2005-02-28 | 2006-08-31 | Herington Daniel E | System and method for migrating virtual machines on cluster systems |
| CN102096601A (en) * | 2011-02-11 | 2011-06-15 | 浪潮(北京)电子信息产业有限公司 | Virtual machine migration management method and system |
| CN102508718A (en) * | 2011-11-22 | 2012-06-20 | 杭州华三通信技术有限公司 | Method and device for balancing load of virtual machine |
| CN102981910A (en) * | 2012-11-02 | 2013-03-20 | 曙光云计算技术有限公司 | Realization method and realization device for virtual machine scheduling |
| CN103353853A (en) * | 2013-07-26 | 2013-10-16 | 浪潮电子信息产业股份有限公司 | Automatic load adjusting method |
-
2013
- 2013-10-31 CN CN201310533235.2A patent/CN103617076A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060195715A1 (en) * | 2005-02-28 | 2006-08-31 | Herington Daniel E | System and method for migrating virtual machines on cluster systems |
| CN102096601A (en) * | 2011-02-11 | 2011-06-15 | 浪潮(北京)电子信息产业有限公司 | Virtual machine migration management method and system |
| CN102508718A (en) * | 2011-11-22 | 2012-06-20 | 杭州华三通信技术有限公司 | Method and device for balancing load of virtual machine |
| CN102981910A (en) * | 2012-11-02 | 2013-03-20 | 曙光云计算技术有限公司 | Realization method and realization device for virtual machine scheduling |
| CN103353853A (en) * | 2013-07-26 | 2013-10-16 | 浪潮电子信息产业股份有限公司 | Automatic load adjusting method |
Cited By (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105242873B (en) * | 2014-06-27 | 2018-06-01 | 阿里巴巴集团控股有限公司 | The acquisition of the performance data of cloud computing system and storage method and device |
| CN105242873A (en) * | 2014-06-27 | 2016-01-13 | 阿里巴巴集团控股有限公司 | Method and apparatus for acquiring and storing performance data of cloud computing system |
| WO2015196885A1 (en) * | 2014-06-27 | 2015-12-30 | 阿里巴巴集团控股有限公司 | Method and apparatus for acquiring and storing performance data of cloud computing system |
| CN105373415A (en) * | 2014-08-28 | 2016-03-02 | 中兴通讯股份有限公司 | Virtualization based application storage method, execution method, apparatus and system |
| CN105808341A (en) * | 2014-12-29 | 2016-07-27 | 中国移动通信集团公司 | Method, apparatus and system for scheduling resources |
| CN105808341B (en) * | 2014-12-29 | 2019-05-28 | 中国移动通信集团公司 | A kind of methods, devices and systems of scheduling of resource |
| CN106325999A (en) * | 2015-06-30 | 2017-01-11 | 华为技术有限公司 | Method and device for distributing resources of host machine |
| CN105404545A (en) * | 2015-12-03 | 2016-03-16 | 中国联合网络通信集团有限公司 | Virtual machine allocating method and apparatus |
| CN105404545B (en) * | 2015-12-03 | 2018-11-30 | 中国联合网络通信集团有限公司 | The method and device of virtual machine distribution |
| CN105635285A (en) * | 2015-12-30 | 2016-06-01 | 南京理工大学 | State-sensing-based VM migration scheduling method |
| CN105635285B (en) * | 2015-12-30 | 2018-12-14 | 南京理工大学 | A kind of VM migration scheduling method based on state aware |
| CN105760227A (en) * | 2016-02-04 | 2016-07-13 | 中国联合网络通信集团有限公司 | Method and system for resource scheduling in cloud environment |
| CN105760227B (en) * | 2016-02-04 | 2019-03-12 | 中国联合网络通信集团有限公司 | Resource regulating method and system under cloud environment |
| CN107239457A (en) * | 2016-03-28 | 2017-10-10 | 阿里巴巴集团控股有限公司 | Data archiving method and device |
| CN105955826A (en) * | 2016-05-10 | 2016-09-21 | 广东睿江云计算股份有限公司 | Control method and device of quality of service in cloud host system |
| CN107506233B (en) * | 2016-06-14 | 2020-12-01 | 深信服科技股份有限公司 | Virtual resource scheduling method, device and server |
| CN107506233A (en) * | 2016-06-14 | 2017-12-22 | 深圳市深信服电子科技有限公司 | A kind of schedule virtual resources method, apparatus and server |
| CN108170525A (en) * | 2016-12-07 | 2018-06-15 | 晨星半导体股份有限公司 | The device and method of the task load configuration of dynamic adjustment multi-core processor |
| CN108170525B (en) * | 2016-12-07 | 2022-02-08 | 联发科技股份有限公司 | Device and method for dynamically adjusting task load configuration of multi-core processor |
| CN106681839B (en) * | 2016-12-31 | 2021-06-15 | 云宏信息科技股份有限公司 | Elastic calculation dynamic allocation method |
| CN106681839A (en) * | 2016-12-31 | 2017-05-17 | 云宏信息科技股份有限公司 | Elasticity calculation dynamic allocation method |
| CN106844010A (en) * | 2017-01-20 | 2017-06-13 | 深信服科技股份有限公司 | Dram big page scheduling processing method and device |
| CN107239341A (en) * | 2017-05-27 | 2017-10-10 | 郑州云海信息技术有限公司 | A kind of resource translation method, system and resources of virtual machine scheduling system |
| CN107239341B (en) * | 2017-05-27 | 2020-09-18 | 苏州浪潮智能科技有限公司 | Resource conversion method and system and virtual machine resource scheduling system |
| CN107220106A (en) * | 2017-06-27 | 2017-09-29 | 郑州云海信息技术有限公司 | A kind of resource regulating method and device |
| CN107589981A (en) * | 2017-09-07 | 2018-01-16 | 北京百悟科技有限公司 | A kind of dynamic power management and dynamic resource scheduling method and device |
| CN107608765A (en) * | 2017-10-11 | 2018-01-19 | 郑州云海信息技术有限公司 | A kind of virtual machine migration method and device |
| CN107608765B (en) * | 2017-10-11 | 2021-04-02 | 郑州云海信息技术有限公司 | Virtual machine migration method and device |
| CN108874502B (en) * | 2018-05-31 | 2021-03-26 | 北京奇艺世纪科技有限公司 | Resource management method, device and equipment of cloud computing cluster |
| CN108874502A (en) * | 2018-05-31 | 2018-11-23 | 北京奇艺世纪科技有限公司 | Method for managing resource, device and the equipment of cloud computing cluster |
| CN110737717A (en) * | 2018-07-03 | 2020-01-31 | 北京国双科技有限公司 | database migration method and device |
| CN109189574A (en) * | 2018-08-16 | 2019-01-11 | 郑州云海信息技术有限公司 | A kind of load equilibration scheduling method and system based on virtualization memory load monitoring |
| CN110034963A (en) * | 2019-04-18 | 2019-07-19 | 南京邮电大学盐城大数据研究院有限公司 | A kind of elastic configuration method that application cluster is adaptive |
| CN110034963B (en) * | 2019-04-18 | 2022-06-17 | 南京邮电大学盐城大数据研究院有限公司 | Application cluster self-adaptive elastic configuration method |
| CN110545332A (en) * | 2019-09-30 | 2019-12-06 | 天津卓朗科技发展有限公司 | Server cluster balancing method and system |
| CN113448716A (en) * | 2020-03-24 | 2021-09-28 | 中兴通讯股份有限公司 | Resource adjusting method, computer equipment and storage medium |
| CN111625333A (en) * | 2020-05-21 | 2020-09-04 | 慧众行知科技（北京）有限公司 | Module migration method and system |
| WO2021253851A1 (en) * | 2020-06-19 | 2021-12-23 | 浪潮电子信息产业股份有限公司 | Cluster distributed resource scheduling method, apparatus and device, and storage medium |
| CN112416520A (en) * | 2020-11-21 | 2021-02-26 | 广州西麦科技股份有限公司 | Intelligent resource scheduling method based on vSphere |
| CN112416520B (en) * | 2020-11-21 | 2023-10-13 | 广州西麦科技股份有限公司 | Intelligent resource scheduling method based on vSphere |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103617076A (en) | Method and system for dispatching virtualized resources and server | |
| CN102724277B (en) | The method of live migration of virtual machine and deployment, server and group system | |
| CN102253857B (en) | Xen virtual machine scheduling control method in multi-core environment | |
| CN110262899A (en) | Monitor component elastic telescopic method, apparatus and controlled terminal based on Kubernetes cluster | |
| CN103036946B (en) | A kind of method and system processing file backup task for cloud platform | |
| CN102891896B (en) | Cloud computing infrastructure system for mass storage of Internet of things | |
| CN106293871A (en) | A kind of resource regulating method of cluster virtual machine | |
| CN111078363A (en) | NUMA node scheduling method, device, equipment and medium for virtual machine | |
| CN104834569A (en) | Cluster resource scheduling method and cluster resource scheduling system based on application types | |
| CN103701920A (en) | Method for configuring virtual application server under cloud environment | |
| CN104021040A (en) | Cloud computing associated task scheduling method and device based on time constraint | |
| CN104102543A (en) | Load regulation method and load regulation device in cloud computing environment | |
| CN102404412A (en) | Energy saving method and system for cloud compute data center | |
| Lai et al. | Sol: Fast distributed computation over slow networks | |
| CN102831015A (en) | Method and equipment for scheduling multi-core processor | |
| CN107070965B (en) | Multi-workflow resource supply method under virtualized container resource | |
| Wu et al. | An energy efficient VM migration algorithm in data centers | |
| CN103916438A (en) | Cloud testing environment scheduling method and system based on load forecast | |
| CN102637138A (en) | Method for computing and scheduling virtual machine | |
| CN106909462A (en) | A kind of cloud resource regulating method and device | |
| Tao et al. | Load feedback-based resource scheduling and dynamic migration-based data locality for virtual hadoop clusters in openstack-based clouds | |
| CN104965763A (en) | Aging perception task scheduling system | |
| CN109040156A (en) | A kind of soft load resource processing method and processing device based on container cloud | |
| CN105183563A (en) | CPU resource dynamic self-configuration method facing mission critical computer | |
| Shu-Jun et al. | Optimization and research of hadoop platform based on fifo scheduler |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20140305 |