CN107908461A - A kind of resource dynamic retractility device and implementation method based on Docker - Google Patents
A kind of resource dynamic retractility device and implementation method based on Docker Download PDFInfo
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- CN107908461A CN107908461A CN201711251168.XA CN201711251168A CN107908461A CN 107908461 A CN107908461 A CN 107908461A CN 201711251168 A CN201711251168 A CN 201711251168A CN 107908461 A CN107908461 A CN 107908461A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45562—Creating, deleting, cloning virtual machine instances
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
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Abstract
The present invention provides a kind of resource dynamic retractility device and implementation method based on Docker, and this method starts Docker containers by creating control unit Docker containers in physical machine；Control unit obtains the resource object information from unit；Control unit real-time collecting counts whole resource service condition, according to the strategy from unit, periodically judges whether resource needs to stretch, and carries out target container filter algorithm and target container weight sequencing algorithm and adjusts resource into Mobile state；Since control unit is responsible for being managed collectively from the resource object of unit to all, and carried out from the establishment and destruction of the resource container of cells D ocker by control unit according to policing algorithm is unified, the dynamic retractility management to the resource object of monitoring is realized, solve thes problems, such as that resource expansion easily recycles difficulty.
Description
Technical field
The present invention relates to field of computer technology, is filled more particularly, to a kind of resource dynamic retractility based on Docker
Put and implementation method.
Background technology
Currently, as the quick popularization of the virtualization container technique of representative and used, the energy of scheduling of resource with using Docker
Power has obtained great enhancing.When resource requirement increases, can be created according to Docker from structure and from issue capability, dynamic
The Docker containers for building resource carry out the bearing capacity of extended resources, and when resource is idle for a long time, dynamic recycles Docker containers
To reduce the idle of resource and waste.
Core node of the monitoring resource as scheduling of resource, can be promptly and accurately under complicated dynamic stretching mechanism
All kinds of resources of reaction state and problem, its effect will be more and more important.Meanwhile under distributed environment, scheduling of resource
Need to manage substantial amounts of resource object, equally face huge performance pressures.
Existing scheduling of resource technology, is mainly realized using virtualization technology combination monitoring system, is had distributed
Director server/Monitor Daemon Server pattern.Wherein, Monitor Daemon Server, concurrently send for collection monitoring data and caching
To director server, when monitored object it is large number of when, this pattern can simplify the maintenance of monitoring resource, reduce director server
Load.
The scheduling of resource monitoring system of the prior art provides the function of resource expansion increase-volume, but to resource reclaim capacity reducing side
Face, can't support well, how judge the best opportunity of resource reclaim capacity reducing, scheduling of resource is realized telescopic dynamic
Monitoring and management, are a problem to be solved.
The content of the invention
The present invention provides a kind of resource dynamic retractility device based on Docker, which realizes the dynamic prison of resource object
Control and resource recycle the technical problem of capacity reducing in due course.
A further object of the present invention is a kind of implementation method of the resource dynamic retractility based on Docker.
In order to reach above-mentioned technique effect, technical scheme is as follows：
A kind of resource dynamic retractility device based on Docker, including：
Control unit：Whole resource service condition is counted for real-time collecting, periodically judges that Current resource object is
It is no to need to trigger migration.Described control unit realize transition condition judge, be migrated resource container selection, target container filtering,
Target container weight sequencing, container log, resource are migrated using statistics, resource object；
From unit：For the order of reception control unit, required according to the scheduling of resource of control unit, between unit
Carry out resource object migration.
Further, comprise the following steps：
S1：By creating control unit Docker containers in physical machine, and start Docker containers；
S2：Control unit obtains the resource object information from unit, is monitored judges with scheduling strategy in real time；
S3：Control unit carries out target container filter algorithm and target container according to the strategy of the resources regulation from unit
Weight sequencing algorithm adjusts resource into Mobile state；
S4：Source dispatching and monitoring object from the Docker containers resource of unit if it is determined that meet flexible condition, then in the thing
Perform resource on reason machine to stretch processing, and according to the resource allocation information from unit, on the control unit described in renewal from
The corresponding resource object information of Docker containers of unit.
Further, the process of the step S1 is：
It is deployed in resource object by Docker containers in physical machine, control unit is created from unit in physical machine
Docker containers, and start Docker containers；
Wherein, each it is deployed in from unit by Docker containers in physical machine.When resource is responsible for excessive, can create simultaneously
Start the bearing capacity that Docker containers carry out extended resources.
Further, the process of the step S2 is：
It is the least unit of scheduling of resource from the management object of the unit in order to control of the resource object in unit, control unit
Real-time collecting counts whole resource service condition, periodically judges whether Current resource needs triggering flexible；
Wherein, control unit realizes that transition condition judges, is migrated resource container selection, target container filtering, target appearance
Device weight sequencing, container log, resource are migrated using statistics, resource object；From the order of unit reception control unit, root
According to control unit scheduling of resource requirement, between unit carry out resource object migration.
Further, the process of the step S3 is：
Control unit obtains the resource service condition from unit, to each container from unit according to monitoring configuration information
Log, resource carry out COMPREHENSIVE CALCULATING using statistics, resource load situation, resource bearing capacity etc., according to resource consumption shape
State, carry out resource stretch strategy judge.
Further, the process of the step S4 is：
If meeting resource reclaim capacity reducing condition from the Docker containers of unit, control unit is discharged from list in physical machine
The resource object of member, and destroy the Docker containers from unit；
Destroyed in physical machine after the Docker containers of unit, in the lump will be from the associated resource object information of unit, appearance
The information such as device operation information are destroyed；Control unit is got to from unit according to the resource object information from unit
The target resource object that Docker containers are monitored, communicates with from cells D ocker containers, will be corresponding from unit
Monitoring information and resource policy information in resource object, and the slave unit are destroyed.
Compared with prior art, the beneficial effect of technical solution of the present invention is：
The present invention provides a kind of resource dynamic retractility implementation method and device based on Docker, by being created in physical machine
Control unit Docker containers are built, and start Docker containers；Control unit obtains the resource object information from unit；Control is single
First real-time collecting counts whole resource service condition, according to the strategy from unit, periodically judges whether resource needs to stretch,
Target container filter algorithm and target container weight sequencing algorithm is carried out to adjust resource into Mobile state；Since control unit is responsible for
It is managed collectively from the resource object of unit to all, and from the establishment of the resource container of cells D ocker and destroys by controlling
Unit processed is carried out according to policing algorithm is unified, is realized the dynamic retractility management to the resource object of monitoring, is efficiently solved money
The problem of difficult, is easily recycled in source extension.
Brief description of the drawings
Fig. 1 is the flow chart of the resource dynamic retractility implementation method based on Docker in the embodiment of the present invention 1；
Fig. 2 is the flow chart of the resource dynamic retractility implementation method based on Docker in the embodiment of the present invention 2.
Embodiment
Attached drawing is only for illustration, it is impossible to is interpreted as the limitation to this patent；
In order to more preferably illustrate the present embodiment, some components of attached drawing have omission, zoom in or out, and do not represent actual product
Size；
To those skilled in the art, it is to be appreciated that some known features and its explanation, which may be omitted, in attached drawing
's.
Technical scheme is described further with reference to the accompanying drawings and examples.
Embodiment 1
A kind of apparatus structure of resource dynamic retractility is schemed as shown in Figure 1, and Fig. 1 is the first money provided by the embodiments of the present application
The schematic diagram of source dynamic retractility implementation method.This method comprises the following steps：
Step 1-1, creates control unit Docker containers in physical machine, and starts Docker containers.
Specifically, in the present embodiment, resource object can dynamic retractility regulate and control.Held in resource object by Docker
Device is deployed in physical machine, and control unit creates the Docker containers from unit in physical machine, and starts Docker containers.
Wherein, each it is deployed in from unit by Docker containers in physical machine.When resource is responsible for excessive, can create simultaneously
Start the bearing capacity that Docker containers carry out extended resources.
Step 1-2, control unit obtain resource object information, are monitored judge with scheduling strategy in real time.
Wherein, it is the least unit of scheduling of resource from the management object of the unit in order to control of the resource object in unit.Control
Unit real-time collecting counts whole resource service condition, periodically judges whether Current resource needs triggering flexible.
Wherein, control unit realizes that transition condition judges, is migrated resource container selection, target container filtering, target appearance
Device weight sequencing, container log, resource are migrated using statistics, resource object.
Wherein, from the order of unit reception control unit, required according to the scheduling of resource of control unit, between unit
Carry out resource object migration.
Specifically, control unit and from the configuration information that unit is scheduling of resource, in the present embodiment, can by control unit and
It is respectively stored in from unit on SQL or File devices, which can be database or file etc..
Step 1-3, control unit carry out target container filter algorithm and target according to the strategy of the resources regulation from unit
Container weight sequencing algorithm adjusts resource into Mobile state.
Specifically, in the present embodiment, control unit obtains the resource service condition from unit according to monitoring configuration information,
According to policing algorithm, to each from the container log of unit, resource use statistics, resource load situation, resource bearing energy
Power etc. carries out COMPREHENSIVE CALCULATING, according to resource consumption state, carries out the resource strategy that stretches and judges.
Step 1-4, source dispatching and monitoring object from the Docker containers resource of unit if it is determined that meet flexible condition, then in institute
State and resource is performed in physical machine stretch processing, and according to the resource allocation information from unit, update institute on the control unit
State the corresponding resource object information of Docker containers from unit.
In the present embodiment, if meeting resource reclaim capacity reducing condition from the Docker containers of unit, control unit is in physics
The resource object from unit is discharged on machine, and destroys the Docker containers from unit, specific resource capacity reducing condition the present embodiment
In do not limit.It such as can be to get the resource load from unit below predetermined threshold value, unit can also receive in order to control
To from the destructions of cells D ocker containers instruction etc..
In the present embodiment, destroyed in physical machine after the Docker containers of unit, in the lump will be from the associated resource of unit
The information such as object information, container operation information are destroyed.Specifically, in the present embodiment, control unit is according to the money from unit
Source object information, gets the target resource object to being monitored from cells D ocker containers, and from cells D ocker containers
Communicate, will from unit corresponding resource object, and monitoring information in the slave unit and resource policy information carries out
Destroy.
Resource dynamic retractility implementation method and device provided in this embodiment based on Docker, by being created in physical machine
Control unit Docker containers are built, and start Docker containers；Control unit obtains the resource object information from unit；Control is single
First real-time collecting counts whole resource service condition, according to the strategy from unit, periodically judges whether resource needs to stretch,
Target container filter algorithm and target container weight sequencing algorithm is carried out to adjust resource into Mobile state；Since control unit is responsible for
It is managed collectively from the resource object of unit to all, and from the establishment of the resource container of cells D ocker and destroys by controlling
Unit processed is carried out according to policing algorithm is unified, is realized the dynamic retractility management to the resource object of monitoring, is efficiently solved money
The problem of difficult, is easily recycled in source extension.
Embodiment 2
As shown in Fig. 2, the resource dynamic retractility implementation method provided in this embodiment based on Docker is compared to the present invention
The implementation method embodiment one of resource dynamic retractility based on Docker, is a particularly preferred embodiment, then the present embodiment
The implementation method based on Docker resource dynamic retractilities is provided to comprise the following steps.
Step 2-1, creates control unit Docker containers in physical machine, and starts Docker containers.Each from unit
It is deployed in by Docker containers in physical machine.
In the present embodiment, the implementation of step 2-1 and the implementation phase of the step 1-1 in the embodiment of the present invention one
Together, this is no longer going to repeat them.
Step 2-2, control unit are periodically obtained from cells D ocker information, resource state information etc..
Further, in the present embodiment, the monitoring resource information from unit is stored with SQL or File devices, is controlled
Unit obtains monitoring resource information from this device.
Step 2-3, control unit are monitored in real time from element resources state and Docker operation informations, judged whether
Carry node.
Further, in the present embodiment, control unit is obtained and specifically included from element resources monitored item：
First, control unit creates generic resource monitored item template on Docker containers.
Specifically, included by monitoring resource item template to all monitored item being monitored from unit, such as monitored item
Including：CPU usage, memory usage, network usage etc..
Then, control unit obtains universal monitor template, forms universal monitor item.
, can will be general when control unit is to create monitored object from cells D ocker containers specifically, in the present embodiment
Monitored item template is directly used on monitored object, forms the universal monitor item of the monitored object.According to the monitored item got
Information, calculated by policing algorithm, according to result of calculation judge whether overload node, if exist overload node,
Step 2-4 is performed, otherwise performs step 2-7.
Step 2-4, control unit acquisition strategy algorithm and migration rules, select to be migrated container from overload node.
Specifically, control unit is by the monitoring resource item from unit, obtaining from element resources status information, from SQL
Or acquisition strategy algorithm and migration rules in File devices, traveled through to all from unit, identify overload node, into treating
Migrate container queue.
Step 2-5, according to target container selection strategy, selection target container.
Step 2-6, control unit perform resource and stretch scheduling.
Step 2-7, control unit are monitored in real time from element resources state and Docker operation informations, judged whether low
Load node.If there are low-load node, step 2-8 is performed, otherwise performs step 2-9.
Step 2-8, according to target container, selection target container, meets step 2-5.
Step 2-9, updates nodal information, meets step 2-1.
The same or similar label correspond to the same or similar components；
Position relationship is used for only for illustration described in attached drawing, it is impossible to is interpreted as the limitation to this patent；
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not pair
The restriction of embodiments of the present invention.For those of ordinary skill in the field, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
All any modification, equivalent and improvement made within the spirit and principle of invention etc., should be included in the claims in the present invention
Protection domain within.
Claims (6)
- A kind of 1. resource dynamic retractility device based on Docker, it is characterised in that including：Control unit：Whole resource service condition is counted for real-time collecting, periodically judges whether Current resource object needs Trigger migration.Described control unit realizes that transition condition judges, is migrated resource container selection, target container filtering, target Container weight sequencing, container log, resource are migrated using statistics, resource object；From unit：For the order of reception control unit, required according to the scheduling of resource of control unit, carried out between unit Resource object migrates.
- A kind of 2. realization side of the resource dynamic retractility of the resource dynamic retractility device based on Docker as claimed in claim 1 Method, it is characterised in that comprise the following steps：S1：By creating control unit Docker containers in physical machine, and start Docker containers；S2：Control unit obtains the resource object information from unit, is monitored judges with scheduling strategy in real time；S3：Control unit carries out target container filter algorithm and target container weight according to the strategy of the resources regulation from unit Sort algorithm adjusts resource into Mobile state；S4：Source dispatching and monitoring object from the Docker containers resource of unit if it is determined that meet flexible condition, then in the physical machine Upper execution resource is stretched processing, and according to the resource allocation information from unit, on the control unit from unit described in renewal The corresponding resource object information of Docker containers.
- 3. the implementation method of the resource dynamic retractility according to claim 2 based on Docker, it is characterised in that the step Suddenly the process of S1 is：It is deployed in resource object by Docker containers in physical machine, control unit is created from unit in physical machine Docker containers, and start Docker containers；Wherein, each it is deployed in from unit by Docker containers in physical machine.When resource is responsible for excessive, it can create and start Docker containers carry out the bearing capacity of extended resources.
- 4. the implementation method of the resource dynamic retractility according to claim 3 based on Docker, it is characterised in that the step Suddenly the process of S2 is：It is the least unit of scheduling of resource from the management object of the unit in order to control of the resource object in unit, control unit is real-time Collect and count whole resource service condition, periodically judge whether Current resource needs triggering flexible；Wherein, control unit realizes that transition condition judges, is migrated resource container selection, target container filtering, target container power Reorder, container log, resource are migrated using statistics, resource object；From the order of unit reception control unit, according to control Unit processed scheduling of resource requirement, between unit carry out resource object migration.
- 5. the implementation method of the resource dynamic retractility according to claim 4 based on Docker, it is characterised in that the step Suddenly the process of S3 is：Control unit obtains the resource service condition from unit, each container from unit is run according to monitoring configuration information Record, resource are using statistics, the progress COMPREHENSIVE CALCULATING such as resource load situation, resource bearing capacity, according to resource consumption state, into Row resource stretch strategy judge.
- 6. the implementation method of the resource dynamic retractility according to claim 5 based on Docker, it is characterised in that the step Suddenly the process of S4 is：If meeting resource reclaim capacity reducing condition from the Docker containers of unit, control unit is discharged from unit in physical machine Resource object, and destroy the Docker containers from unit；Destroy after the Docker containers of unit in physical machine, will be transported in the lump from the associated resource object information of unit, container The information such as row information are destroyed；Control unit is got to holding from cells D ocker according to the resource object information from unit The target resource object that device is monitored, communicates with from cells D ocker containers, will from unit corresponding resource object, And monitoring information in the slave unit and resource policy information are destroyed.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108683720A (en) * | 2018-04-28 | 2018-10-19 | 金蝶软件（中国）有限公司 | A kind of container cluster service configuration method and device |
| CN109086135A (en) * | 2018-07-26 | 2018-12-25 | 北京百度网讯科技有限公司 | Resource telescopic method, device, computer equipment and storage medium |
| CN110489239A (en) * | 2019-08-22 | 2019-11-22 | 中国工商银行股份有限公司 | A kind of Container Management method, device and equipment |
| CN110569101A (en) * | 2018-06-05 | 2019-12-13 | 华为技术有限公司 | Method and device for managing container service |
| CN111124660A (en) * | 2018-11-01 | 2020-05-08 | 百度在线网络技术（北京）有限公司 | Method and device for allocating idle resources in virtual machine |
| 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 |
| CN112559142A (en) * | 2019-09-26 | 2021-03-26 | 贵州白山云科技股份有限公司 | Container control method, device, edge calculation system, medium and equipment |
| CN114615064A (en) * | 2022-03-15 | 2022-06-10 | 北京旋极安辰计算科技有限公司 | Management and control method for creation and destruction of Docker container |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160274928A1 (en) * | 2015-03-20 | 2016-09-22 | International Business Machines Corporation | Virtual machine migration between hypervisor virtual machines and containers |
| CN106371974A (en) * | 2016-08-30 | 2017-02-01 | 中国民生银行股份有限公司 | Monitoring method of application program in Docker container and publishing platform |
| CN106776005A (en) * | 2016-11-23 | 2017-05-31 | 华中科技大学 | A kind of resource management system and method towards containerization application |
| CN106961351A (en) * | 2017-03-03 | 2017-07-18 | 南京邮电大学 | Intelligent elastic telescopic method based on Docker container clusters |
| CN106992887A (en) * | 2017-04-05 | 2017-07-28 | 国家电网公司 | The implementation method of application example elastic telescopic based on container, apparatus and system |
-
2017
- 2017-12-01 CN CN201711251168.XA patent/CN107908461A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160274928A1 (en) * | 2015-03-20 | 2016-09-22 | International Business Machines Corporation | Virtual machine migration between hypervisor virtual machines and containers |
| CN106371974A (en) * | 2016-08-30 | 2017-02-01 | 中国民生银行股份有限公司 | Monitoring method of application program in Docker container and publishing platform |
| CN106776005A (en) * | 2016-11-23 | 2017-05-31 | 华中科技大学 | A kind of resource management system and method towards containerization application |
| CN106961351A (en) * | 2017-03-03 | 2017-07-18 | 南京邮电大学 | Intelligent elastic telescopic method based on Docker container clusters |
| CN106992887A (en) * | 2017-04-05 | 2017-07-28 | 国家电网公司 | The implementation method of application example elastic telescopic based on container, apparatus and system |
Non-Patent Citations (1)
| Title |
|---|
| 毛祺、卢胜林: "基于Docker Swarm集群的容器迁移策略的实现", 《信息技术》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108683720A (en) * | 2018-04-28 | 2018-10-19 | 金蝶软件（中国）有限公司 | A kind of container cluster service configuration method and device |
| US11354167B2 (en) | 2018-06-05 | 2022-06-07 | Huawei Technologies Co., Ltd. | Container service management method and apparatus |
| CN110569101A (en) * | 2018-06-05 | 2019-12-13 | 华为技术有限公司 | Method and device for managing container service |
| CN110569101B (en) * | 2018-06-05 | 2022-05-31 | 华为技术有限公司 | Method and device for managing container service |
| CN109086135B (en) * | 2018-07-26 | 2021-10-26 | 北京百度网讯科技有限公司 | Resource scaling method and device, computer equipment and storage medium |
| CN109086135A (en) * | 2018-07-26 | 2018-12-25 | 北京百度网讯科技有限公司 | Resource telescopic method, device, computer equipment and storage medium |
| CN111124660A (en) * | 2018-11-01 | 2020-05-08 | 百度在线网络技术（北京）有限公司 | Method and device for allocating idle resources in virtual machine |
| CN111124660B (en) * | 2018-11-01 | 2024-01-05 | 百度在线网络技术（北京）有限公司 | Method and device for allocating idle resources in virtual machine |
| CN110489239A (en) * | 2019-08-22 | 2019-11-22 | 中国工商银行股份有限公司 | A kind of Container Management method, device and equipment |
| CN112559142A (en) * | 2019-09-26 | 2021-03-26 | 贵州白山云科技股份有限公司 | Container control method, device, edge calculation system, medium and equipment |
| CN112559142B (en) * | 2019-09-26 | 2023-12-19 | 贵州白山云科技股份有限公司 | Container control method, device, edge computing system, medium and equipment |
| 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 |
| CN114615064A (en) * | 2022-03-15 | 2022-06-10 | 北京旋极安辰计算科技有限公司 | Management and control method for creation and destruction of Docker container |
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Application publication date: 20180413 |