CN103353853A - Automatic load adjusting method - Google Patents
Automatic load adjusting method Download PDFInfo
- Publication number
- CN103353853A CN103353853A CN2013103174814A CN201310317481A CN103353853A CN 103353853 A CN103353853 A CN 103353853A CN 2013103174814 A CN2013103174814 A CN 2013103174814A CN 201310317481 A CN201310317481 A CN 201310317481A CN 103353853 A CN103353853 A CN 103353853A
- Authority
- CN
- China
- Prior art keywords
- load
- alarm
- virtual machine
- empty
- migration
- 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 an automatic load adjusting method. The automatic load adjusting method comprises the following specific adjusting steps of monitoring resources, wherein load information of CPU, an internal memory, a hard disk and the like of a physical machine is accurately monitored, and therefore an accurate data basis is provided for the solution to the question whether the system load needs to be adjusted; migrating a virtual machine with a higher resource utilization rate; conducting self-adaption load dynamic adjustment; providing warning information for a user and informing the user that manual optimization or treatment needs to be conducted under the condition that a system cannot meet the self-adaption load adjustment requirement. Compared with the prior art, the automatic load adjusting method has the advantages that the migration of the virtual machine is achieved by means of real-time collection and comprehensive analysis of load performance data of physical resources under the condition that the utilization rate of the physical resources is guaranteed, and high availability and high stability of the system are guaranteed.
Description
Technical field
The present invention relates to dispatching system field in the cloud computing operating system, the method that specifically a kind of load is regulated automatically.
Background technology
Current, cloud computing approved by industry gradually, and cloud data center operating system realizes and be committed to practice gradually.The resource overall load is reasonable, balanced in the cloud data center, plays a part very crucial for whole high availability and the validity of system.
Most of homogeneous system load regulation methods are not carried out sufficient analysis and comparison to the various loads of physical resource, and resource regulating method is unreasonable, exist physical resource and blindly circulate, the problem that resource utilization is not high.
For high availability, the stability that guarantees system, we have proposed a kind of load Automatic adjustment method in the cloud computing operating system.
Summary of the invention
Technical assignment of the present invention is to solve the deficiencies in the prior art, and a kind of high availability of system, automatic method of regulating of load of stability of guaranteeing is provided.
Technical scheme of the present invention realizes in the following manner, the method that this a kind of load is regulated automatically, and its concrete adjustment process is:
One, monitoring resource: CPU, internal memory, hard disk even load information on the accurate monitors physical machine, thus provide accurately data foundation for whether system load needs to regulate;
Two, the preferential virtual machine of resource utilization is moved: by the analysis-by-synthesis to the autonomous threshold difference of setting of the real-time load value of each physical machine and system, consider that maximization improves the utilization factor of physical machine resource, and automatically realize optimum virtual machine dynamic migration;
Three, self-adapting load dynamic adjustments: utilize the migration of step 2, according to the dynamic change of dispatching zone internal burden, adaptive adjusting is with taking full advantage of and stability of resource in the assurance system;
Four, when the situation that loaded self-adaptive regulates appears satisfying in system again, for the user provides warning message, notify the user manually to optimize or process.
Migration is used in the described step 2 is based on the preferential virtual machine (vm) migration algorithm of resource utilization, and the detailed content of this algorithm is:
The load of the physical machine resource in a, the alarm formation needs to regulate successively according to the priority;
B, when obtaining the virtual machine that will move on the physical machine in the alarm formation, main consideration virtual machine load value is more than or equal to the minimum value in the virtual machine set of controllable load (namely the real-time load value of this physical machine and the autonomous load threshold of setting is poor), the virtual machine that takies the stock number minimum that i.e. migration satisfies condition guarantees whole stability and the high-level efficiency of migration;
C, when obtaining the migration target physical machine in the non-alarm formation, main consider under the prerequisite that satisfies less than alarm threshold, for being provided the most rational resource space by the migration virtual machine, improve the utilization factor of physical resource;
D, execute correlation step after, the record in need to upgrade in time alarm formation and the non-alarm formation.
Controllable load among the described step b refers to the poor of the real-time load value of this physical machine and the autonomous load threshold of setting.
Described detailed content based on the preferential virtual machine (vm) migration algorithm of resource utilization comprises:
1) checks that whether physical machine alarm formation is empty, if be not empty, changes step 2 over to); If be empty, change step 9) over to;
2) getting alarm formation medium priority is the highest physical machine Ti of load value; Obtain simultaneously load value on this physical machine more than or equal to the virtual machine set of difference between this physical machine load value F and the alarm threshold Q, and get have minimum value in the set virtual machine Vi as migrating objects;
3) check that whether the non-alarm formation of physical machine is empty, if be not empty, changes step 4) over to; If be empty, change step 8) over to;
4) get in the non-alarm formation and the physical machine Mi of difference minimum between the alarm threshold Q;
5) after the operation of Vi from Ti to Mi carried out in judgement, whether the load of Mi was less than alarm threshold Q; If so, then change step 6) over to; If not, then change step 7) over to;
6) carry out the migration operation of virtual machine Vi from Ti to Mi, upgrade simultaneously the alarm queuing message, and change the step 1) execution over to;
7) upgrade non-alarm queuing message, and change the step 3) execution over to;
8) send a message to warning device, reminding user needs manually to optimize or process;
9) system loading conditions is good in this section period, this time end of run.
The algorithm that the self-adapting load dynamic adjustments is used in the described step 3 is that physical machine alarm formation and non-alarm formation are generated by the monitoring resource module, this algorithm can independently be set the execution algorithm interval execution time, when non-alarm formation is empty, be physical resource load during all greater than the alarm threshold set, warning device can prompting user be manually optimized or is processed.
The detailed step of described dispatching algorithm is:
1) the monitoring resource module is obtained the physical machine load information, generates alarm formation and non-alarm formation;
2) check whether the alarm formation is empty, if be not empty, changes step 3) over to, if be empty, changes step 5) over to;
3) check whether non-alarm formation is empty, if be not empty, then changes step 4) over to, if be empty, changes step 6) over to;
4) call based on the preferential virtual machine (vm) migration algorithm of resource utilization;
5) system running state is good in this section period, finishes this time and calls.
The beneficial effect that the present invention compared with prior art produces is:
The method that a kind of load of the present invention is regulated automatically is based on the preferential virtual machine (vm) migration algorithm of resource utilization, by Real-time Collection and the analysis-by-synthesis to physical resource load performance data, the virtual machine (vm) migration of realization under the prerequisite that guarantees the physical resource utilization factor, guarantee the optimization migration of virtual machine on physical machine, practical, be easy to promote.
Description of drawings
Accompanying drawing 1 is the schematic flow sheet of the preferential virtual machine (vm) migration algorithm of the utilization of resources of the present invention.
Accompanying drawing 2 is schematic flow sheets that loaded self-adaptive of the present invention is regulated algorithm.
Embodiment
The method of a kind of load of the present invention being regulated automatically below in conjunction with accompanying drawing is described in detail below.
The present invention is on the virtual machine (vm) migration algorithm basis preferential based on resource utilization, carries out loaded self-adaptive and regulates.The method considers the load information of physical resource, by the analysis-by-synthesis to the real-time load value of each physical machine resource and the autonomous resource load threshold difference of setting, under the prerequisite of paying the utmost attention to the entire system resource utilization, the varitrol overall load.The method that this a kind of load is regulated automatically, architecture of the present invention mainly comprises:
Monitoring resource: be data monitoring, the collection module of the method, be responsible for the Data Collection of the method basis for estimation, thereby provide foundation for whether system load needs to regulate.
Based on the preferential virtual machine (vm) migration algorithm of resource utilization: refer to that based on to the analysis-by-synthesis of the real-time load value of physical machine with the autonomous threshold difference of setting, automatic optimization is realized the algorithm of virtual machine (vm) migration on the physical machine.
Self-adapting load dynamic adjustments algorithm: refer to utilize based on the preferential virtual machine (vm) migration algorithm of resource utilization, according to the dynamic change of dispatching zone internal burden, the strategy of automatically dispatching and algorithm.
Warning device: referring to provides the device of warning message for the user when system occurs satisfying the situation of loaded self-adaptive adjusting again.
Its concrete adjustment process is:
One, monitoring resource: CPU, internal memory, hard disk even load information on the accurate monitors physical machine, thus provide accurately data foundation for whether system load needs to regulate;
Two, the preferential virtual machine of resource utilization is moved: by the analysis-by-synthesis to the autonomous threshold difference of setting of the real-time load value of each physical machine and system, consider that maximization improves the utilization factor of physical machine resource, and automatically realize optimum virtual machine dynamic migration;
Three, self-adapting load dynamic adjustments: utilize the migration of step 2, according to the dynamic change of dispatching zone internal burden, adaptive adjusting is with taking full advantage of and stability of resource in the assurance system;
Four, when the situation that loaded self-adaptive regulates appears satisfying in system again, for the user provides warning message, notify the user manually to optimize or process.
Migration is used in the described step 2 is based on the preferential virtual machine (vm) migration algorithm of resource utilization, and the detailed content of this algorithm is:
The load of the physical machine resource in a, the alarm formation needs to regulate successively according to the priority;
B, when obtaining the virtual machine that will move on the physical machine in the alarm formation, main consideration virtual machine load value is more than or equal to the minimum value in the virtual machine set of controllable load (namely the real-time load value of this physical machine and the autonomous load threshold of setting is poor), the virtual machine that takies the stock number minimum that i.e. migration satisfies condition guarantees whole stability and the high-level efficiency of migration;
C, when obtaining the migration target physical machine in the non-alarm formation, main consider under the prerequisite that satisfies less than alarm threshold, for being provided the most rational resource space by the migration virtual machine, improve the utilization factor of physical resource;
D, execute correlation step after, the record in need to upgrade in time alarm formation and the non-alarm formation.
Controllable load among the described step b refers to the poor of the real-time load value of this physical machine and the autonomous load threshold of setting.
As shown in Figure 1, described detailed content based on the preferential virtual machine (vm) migration algorithm of resource utilization comprises:
1) checks that whether physical machine alarm formation is empty, if be not empty, changes step 2 over to); If be empty, change step 9) over to;
2) getting alarm formation medium priority is the highest physical machine Ti of load value; Obtain simultaneously load value on this physical machine more than or equal to the virtual machine set of difference between this physical machine load value F and the alarm threshold Q, and get have minimum value in the set virtual machine Vi as migrating objects;
3) check that whether the non-alarm formation of physical machine is empty, if be not empty, changes step 4) over to; If be empty, change step 8) over to;
4) get in the non-alarm formation and the physical machine Mi of difference minimum between the alarm threshold Q;
5) after the operation of Vi from Ti to Mi carried out in judgement, whether the load of Mi was less than alarm threshold Q; If so, then change step 6) over to; If not, then change step 7) over to;
6) carry out the migration operation of virtual machine Vi from Ti to Mi, upgrade simultaneously the alarm queuing message, and change the step 1) execution over to;
7) upgrade non-alarm queuing message, and change the step 3) execution over to;
8) send a message to warning device, reminding user needs manually to optimize or process;
9) system loading conditions is good in this section period, this time end of run.
The algorithm that the self-adapting load dynamic adjustments is used in the described step 3 is that physical machine alarm formation and non-alarm formation are generated by the monitoring resource module, this algorithm can independently be set the execution algorithm interval execution time, when non-alarm formation is empty, be physical resource load during all greater than the alarm threshold set, warning device can prompting user be manually optimized or is processed.
As shown in Figure 2, the detailed step of described dispatching algorithm is:
1) the monitoring resource module is obtained the physical machine load information, generates alarm formation and non-alarm formation;
2) check whether the alarm formation is empty, if be not empty, changes step 3) over to, if be empty, changes step 5) over to;
3) check whether non-alarm formation is empty, if be not empty, then changes step 4) over to, if be empty, changes step 6) over to;
4) call based on the preferential virtual machine (vm) migration algorithm of resource utilization;
5) system running state is good in this section period, finishes this time and calls.
Claims (6)
1. the load method of automatically regulating is characterized in that its concrete adjustment process is:
One, monitoring resource: CPU, internal memory, hard disk even load information on the accurate monitors physical machine, thus provide accurately data foundation for whether system load needs to regulate;
Two, the preferential virtual machine of resource utilization is moved: by the analysis-by-synthesis to the autonomous threshold difference of setting of the real-time load value of each physical machine and system, consider that maximization improves the utilization factor of physical machine resource, and automatically realize optimum virtual machine dynamic migration;
Three, self-adapting load dynamic adjustments: utilize the migration of step 2, according to the dynamic change of dispatching zone internal burden, adaptive adjusting is with taking full advantage of and stability of resource in the assurance system;
Four, when the situation that loaded self-adaptive regulates appears satisfying in system again, for the user provides warning message, notify the user manually to optimize or process.
2. a kind of load according to claim 1 method of automatically regulating, what it is characterized in that migration is used in the described step 2 is based on the preferential virtual machine (vm) migration algorithm of resource utilization, and the detailed content of this algorithm is:
The load of the physical machine resource in a, the alarm formation needs to regulate successively according to the priority;
B, when obtaining the virtual machine that will move on the physical machine in the alarm formation, main consideration virtual machine load value is more than or equal to the minimum value in the virtual machine set of controllable load (namely the real-time load value of this physical machine and the autonomous load threshold of setting is poor), the virtual machine that takies the stock number minimum that i.e. migration satisfies condition guarantees whole stability and the high-level efficiency of migration;
C, when obtaining the migration target physical machine in the non-alarm formation, main consider under the prerequisite that satisfies less than alarm threshold, for being provided the most rational resource space by the migration virtual machine, improve the utilization factor of physical resource;
D, execute correlation step after, the record in need to upgrade in time alarm formation and the non-alarm formation.
3. a kind of load according to claim 2 method of automatically regulating is characterized in that: the controllable load among the described step b refers to the poor of the real-time load value of this physical machine and the autonomous load threshold of setting.
4. a kind of load according to claim 1 and 2 method of automatically regulating is characterized in that described detailed content based on the preferential virtual machine (vm) migration algorithm of resource utilization comprises:
1) checks that whether physical machine alarm formation is empty, if be not empty, changes step 2 over to); If be empty, change step 9) over to;
2) getting alarm formation medium priority is the highest physical machine Ti of load value; Obtain simultaneously load value on this physical machine more than or equal to the virtual machine set of difference between this physical machine load value F and the alarm threshold Q, and get have minimum value in the set virtual machine Vi as migrating objects;
3) check that whether the non-alarm formation of physical machine is empty, if be not empty, changes step 4) over to; If be empty, change step 8) over to;
4) get in the non-alarm formation and the physical machine Mi of difference minimum between the alarm threshold Q;
5) after the operation of Vi from Ti to Mi carried out in judgement, whether the load of Mi was less than alarm threshold Q; If so, then change step 6) over to; If not, then change step 7) over to;
6) carry out the migration operation of virtual machine Vi from Ti to Mi, upgrade simultaneously the alarm queuing message, and change the step 1) execution over to;
7) upgrade non-alarm queuing message, and change the step 3) execution over to;
8) send a message to warning device, reminding user needs manually to optimize or process;
9) system loading conditions is good in this section period, this time end of run.
5. a kind of load according to claim 1 method of automatically regulating, it is characterized in that: the algorithm that the self-adapting load dynamic adjustments is used in the described step 3 is that physical machine alarm formation and non-alarm formation are generated by the monitoring resource module, this algorithm can independently be set the execution algorithm interval execution time, when non-alarm formation is empty, be physical resource load during all greater than the alarm threshold set, warning device can prompting user be manually optimized or is processed.
6. a kind of load according to claim 5 method of automatically regulating, it is characterized in that: the detailed step of described dispatching algorithm is:
1) the monitoring resource module is obtained the physical machine load information, generates alarm formation and non-alarm formation;
2) check whether the alarm formation is empty, if be not empty, changes step 3) over to, if be empty, changes step 5) over to;
3) check whether non-alarm formation is empty, if be not empty, then changes step 4) over to, if be empty, changes step 6) over to;
4) call based on the preferential virtual machine (vm) migration algorithm of resource utilization;
5) system running state is good in this section period, finishes this time and calls.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013103174814A CN103353853A (en) | 2013-07-26 | 2013-07-26 | Automatic load adjusting method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013103174814A CN103353853A (en) | 2013-07-26 | 2013-07-26 | Automatic load adjusting method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103353853A true CN103353853A (en) | 2013-10-16 |
Family
ID=49310227
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013103174814A Pending CN103353853A (en) | 2013-07-26 | 2013-07-26 | Automatic load adjusting method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103353853A (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103164271A (en) * | 2011-12-12 | 2013-06-19 | 台达电子工业股份有限公司 | Triggering method of moving position computational procedure of virtual machine |
| CN103617076A (en) * | 2013-10-31 | 2014-03-05 | 中兴通讯股份有限公司 | Method and system for dispatching virtualized resources and server |
| CN103942105A (en) * | 2014-03-20 | 2014-07-23 | 华为技术有限公司 | Method and device for acquiring resource utilization situation |
| CN104714851A (en) * | 2015-03-30 | 2015-06-17 | 中国联合网络通信集团有限公司 | Method and device for realizing resource distribution |
| CN105426254A (en) * | 2015-12-24 | 2016-03-23 | 北京轻元科技有限公司 | Graded cloud computing resource customizing method and system |
| CN105718310A (en) * | 2016-01-13 | 2016-06-29 | 上海应用技术学院 | Virtual machine scheduling method for IO dense application under cloud platform |
| CN107122235A (en) * | 2017-04-19 | 2017-09-01 | 中国舰船研究设计中心 | Public infrastructure resource regulating method based on application priority |
| CN107562512A (en) * | 2016-07-01 | 2018-01-09 | 华为技术有限公司 | A kind of method, apparatus and system for migrating virtual machine |
| CN107645410A (en) * | 2017-09-05 | 2018-01-30 | 郑州云海信息技术有限公司 | A kind of virtual machine management system and method based on OpenStack cloud platforms |
| CN108804210A (en) * | 2018-04-23 | 2018-11-13 | 北京奇艺世纪科技有限公司 | A kind of resource allocation method and device of cloud platform |
| CN108984271A (en) * | 2018-07-20 | 2018-12-11 | 浪潮电子信息产业股份有限公司 | A kind of method and relevant device of equally loaded |
| 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 |
| CN111913670A (en) * | 2020-08-07 | 2020-11-10 | 北京百度网讯科技有限公司 | Load balancing processing method and device, electronic equipment and storage medium |
| CN112118314A (en) * | 2020-09-18 | 2020-12-22 | 北京百度网讯科技有限公司 | Load balancing method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009116380A (en) * | 2007-11-01 | 2009-05-28 | Nec Corp | Virtual server movement controller, virtual server movement control method and program |
| CN102185779A (en) * | 2011-05-11 | 2011-09-14 | 田文洪 | Method and device for realizing data center resource load balance in proportion to comprehensive allocation capability |
| CN102232282A (en) * | 2010-10-29 | 2011-11-02 | 华为技术有限公司 | Method and apparatus for realizing load balance of resources in data center |
| WO2012164624A1 (en) * | 2011-06-01 | 2012-12-06 | 株式会社日立製作所 | Virtual machine resource management device and management method |
| CN103095599A (en) * | 2013-01-18 | 2013-05-08 | 浪潮电子信息产业股份有限公司 | Dynamic feedback weighted integration load scheduling method of cloud computing operating system |
-
2013
- 2013-07-26 CN CN2013103174814A patent/CN103353853A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009116380A (en) * | 2007-11-01 | 2009-05-28 | Nec Corp | Virtual server movement controller, virtual server movement control method and program |
| CN102232282A (en) * | 2010-10-29 | 2011-11-02 | 华为技术有限公司 | Method and apparatus for realizing load balance of resources in data center |
| CN102185779A (en) * | 2011-05-11 | 2011-09-14 | 田文洪 | Method and device for realizing data center resource load balance in proportion to comprehensive allocation capability |
| WO2012164624A1 (en) * | 2011-06-01 | 2012-12-06 | 株式会社日立製作所 | Virtual machine resource management device and management method |
| CN103095599A (en) * | 2013-01-18 | 2013-05-08 | 浪潮电子信息产业股份有限公司 | Dynamic feedback weighted integration load scheduling method of cloud computing operating system |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103164271A (en) * | 2011-12-12 | 2013-06-19 | 台达电子工业股份有限公司 | Triggering method of moving position computational procedure of virtual machine |
| CN103617076A (en) * | 2013-10-31 | 2014-03-05 | 中兴通讯股份有限公司 | Method and system for dispatching virtualized resources and server |
| CN103942105A (en) * | 2014-03-20 | 2014-07-23 | 华为技术有限公司 | Method and device for acquiring resource utilization situation |
| CN104714851A (en) * | 2015-03-30 | 2015-06-17 | 中国联合网络通信集团有限公司 | Method and device for realizing resource distribution |
| CN104714851B (en) * | 2015-03-30 | 2018-11-02 | 中国联合网络通信集团有限公司 | A kind of method and device for realizing resource allocation |
| CN105426254A (en) * | 2015-12-24 | 2016-03-23 | 北京轻元科技有限公司 | Graded cloud computing resource customizing method and system |
| CN105718310A (en) * | 2016-01-13 | 2016-06-29 | 上海应用技术学院 | Virtual machine scheduling method for IO dense application under cloud platform |
| CN105718310B (en) * | 2016-01-13 | 2018-09-18 | 上海应用技术学院 | The dispatching method of virtual machine that I/O intensive type is applied under a kind of cloud platform |
| CN107562512B (en) * | 2016-07-01 | 2020-06-26 | 华为技术有限公司 | Method, device and system for migrating virtual machine |
| CN107562512A (en) * | 2016-07-01 | 2018-01-09 | 华为技术有限公司 | A kind of method, apparatus and system for migrating virtual machine |
| CN107122235A (en) * | 2017-04-19 | 2017-09-01 | 中国舰船研究设计中心 | Public infrastructure resource regulating method based on application priority |
| CN107645410A (en) * | 2017-09-05 | 2018-01-30 | 郑州云海信息技术有限公司 | A kind of virtual machine management system and method based on OpenStack cloud platforms |
| CN108804210A (en) * | 2018-04-23 | 2018-11-13 | 北京奇艺世纪科技有限公司 | A kind of resource allocation method and device of cloud platform |
| CN108804210B (en) * | 2018-04-23 | 2021-05-25 | 北京奇艺世纪科技有限公司 | Resource configuration method and device of cloud platform |
| CN108984271A (en) * | 2018-07-20 | 2018-12-11 | 浪潮电子信息产业股份有限公司 | A kind of method and relevant device of equally loaded |
| 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 |
| CN111913670A (en) * | 2020-08-07 | 2020-11-10 | 北京百度网讯科技有限公司 | Load balancing processing method and device, electronic equipment and storage medium |
| CN111913670B (en) * | 2020-08-07 | 2024-04-02 | 北京百度网讯科技有限公司 | Processing method and device for load balancing, electronic equipment and storage medium |
| CN112118314A (en) * | 2020-09-18 | 2020-12-22 | 北京百度网讯科技有限公司 | Load balancing method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103353853A (en) | Automatic load adjusting method | |
| CN103955491B (en) | Method for synchronizing timing data increment | |
| CA2932745C (en) | Method and system for traffic control | |
| CN103823714B (en) | Virtualization-based method and device for adjusting QoS (quality of service) of node memory of NUMA (non uniform memory access architecture) | |
| CN103425535A (en) | Agile elastic telescoping method in cloud environment | |
| CN107797853B (en) | Task scheduling method and device and multi-core processor | |
| Liu et al. | Dreams: Dynamic resource allocation for mapreduce with data skew | |
| CN106598740A (en) | System and method for limiting CPU (Central Processing Unit) occupancy rate of multi-thread program | |
| US10467054B2 (en) | Resource management method and system, and computer storage medium | |
| CN107728466B (en) | Fixed priority reliability perception energy consumption optimization method suitable for numerical control system | |
| CN105955809B (en) | Thread scheduling method and system | |
| WO2013126415A3 (en) | Method and system for scheduling requests in a portable computing device | |
| CN107844187A (en) | Power consumption management method, device and electronic equipment | |
| CN103888501A (en) | Virtual machine migration method and device | |
| CN109324880A (en) | A kind of low-power consumption scheduling method suitable for real-time system periodic task model | |
| CN104820616A (en) | Task scheduling method and device | |
| CN107589997A (en) | Ensure delay-sensitive program QoS dynamic regulating method under data center environment | |
| CN103442087B (en) | A kind of Web service system visit capacity based on response time trend analysis controls apparatus and method | |
| CN110442428B (en) | Coordination method of Docker container | |
| CN108574600B (en) | Service quality guarantee method for power consumption and resource competition cooperative control of cloud computing server | |
| CN103092328A (en) | Computer energy conservation method based on magnetic disc dormancy | |
| CN104063282A (en) | Management method, device and server for IaaS cloud variable scale resource pool | |
| CN105700951B (en) | Method and device for realizing CPU service migration | |
| CN107197013B (en) | Energy-saving system for enhancing cloud computing environment | |
| CN107872480B (en) | Big data cluster data balancing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20131016 |