CN106506655B - A kind of container group scheduling method suitable for cloud platform - Google Patents
A kind of container group scheduling method suitable for cloud platform Download PDFInfo
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- CN106506655B CN106506655B CN201611015647.7A CN201611015647A CN106506655B CN 106506655 B CN106506655 B CN 106506655B CN 201611015647 A CN201611015647 A CN 201611015647A CN 106506655 B CN106506655 B CN 106506655B
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- container
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/63—Routing a service request depending on the request content or context
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The present invention relates to field of cloud computer technology, the dispatching method of especially a kind of container group suitable for cloud platform.The present invention creates a container mirror image first, for creating container group;Container group is the container set created with the same mirror image;Then it according to scheduling, expansion strategy, is scheduled, expanded by scheduler.The present invention solves in cloud platform that container resource utilization is low, the big problem of management workload, improves the stability of container operation., to same type of Container Management distribution of material, the utilization rate of physical resource is improved by container group, reduces O&M cost, improve the working efficiency of operation maintenance personnel;It is arranged according to different scheduling strategies, can satisfy the needs of client's different scenes.
Description
Technical field
The present invention relates to field of cloud computer technology, especially a kind of container group scheduling method suitable for cloud platform.
Background technique
The method of cloud platform management container is by being packaged the method created again to single application runtime environment come real
The rapid deployment operation now applied.Due to the diversity of user's application demand, this single container creation method is not
It is able to satisfy demand, and following problem can be brought:
First is that operation management personnel needs take considerable time for the Container Management to cloud platform, whenever there is container delay machine
Or when other problems, operation maintenance personnel must be handled at once, and from delay machine to restoring, container is normal, and the time not can determine that.
Second is that the application that container is disposed in build environment operates in ebb and peak period occupies identical resource, lead to object
The utilization rate for managing resource is not high.
In order to mitigate operation maintenance personnel administrative burden, reduces O&M cost, enhance fully and rationally using for platform resource, improve
Product stability needs a kind of container group scheduling method suitable for cloud platform.
Summary of the invention
The invention reside in a kind of container group scheduling method suitable for cloud platform is provided, solving cloud platform single container makes
With physical node resource efficiency it is low, using stablizing continuous service, the big problem of O&M difficulty.
The technical solution that the present invention solves above-mentioned technical problem is: including the following steps:
The method includes the creation of container group and scheduling;Specifically includes the following steps:
Step 1: creating and upload a container mirror image, for creating the container object in cloud platform;
Step 2: container group inner pressurd vessel number is arranged in the mirror image creation container group uploaded in selection step 1;
Step 3: the scheduling strategy of setting container group, including cpu utilization rate, memory usage amount, disk io, network io;
Step 4: the expanding policy of setting container group determines extension, reduction according to amount of access, container payload;
Step 5: scheduler obtains all container groups in cloud platform and traverses container group, obtains the scheduling strategy of container group;
Step 6: judging whether there is container delay machine in container group, physical node is distributed if having and re-creates container;
Step 7: according to container group scheduling strategy, scheduler compares whether physical node meets schedulable condition, holds if meeting
Row step 8, it is no to then follow the steps 10;
Step 8: scheduler obtains the configuration of container group, distributes and the physical node of scheduling is suitble to be adjusted back to container group
Degree;
Step 9: scheduler creates a new container using container group mirror image according to distribution physical node, after the completion of creation
A container is deleted from original container group;
Step 10: scheduling obtains the load of container group, amount of access, judges whether to meet extension, reduction preset value;It is held if meeting
Row step 11, it is no to then follow the steps 15;
Step 11: scheduler judgement needs to extend, and executes step 12,;Judgement needs to reduce, and executes step 14:
Step 12: scheduler obtains the configuration of container group, distributes and the physical node of scheduling is suitble to be adjusted back to container group
Degree;
Step 13: scheduler creates a new container using container group mirror image according to distribution physical node;
Step 14: scheduler, which obtains, to be loaded minimum container in container group and closes;
Step 15: terminating.
Container mirror image is the mirror image that physical node that can be all in cloud platform after uploading all is read;Container group content
Device number refers to the container number created when the initialization of container group.
The scheduler judges container host physical node cpu in container group, and memory, disk io, whether network io etc.
Meet the threshold value of scheduling strategy setting;When these segmentation symbols match, according to scheduling strategy, basis is correspondingly arranged choosing in remaining physical node
Optimal physical node is selected to be scheduled;It is included in container group in target physical node using designated mirror creation container;
The scheduler, when meeting extension, selects in remaining physical node in extension, reduction according to strategy
Optimal physical node is created;When meeting reduction, optimal container is chosen according to strategy and is closed.
The scheduler is reported the cpu utilization rate of physical node by monitoring module timing by monitoring module, and memory makes
Dosage, disk io, network io to scheduler;And in collection vessel group container load, container ip amount of access to scheduler.
The present invention solves in cloud platform that container resource utilization is low, the big problem of management workload, improves container fortune
Capable stability., to same type of Container Management distribution of material, the utilization rate of physical resource is improved by container group, reduced
O&M cost improves the working efficiency of operation maintenance personnel;It is arranged according to different scheduling strategies, can satisfy client's different scenes
It needs.
Detailed description of the invention
The following further describes the present invention with reference to the drawings:
Fig. 1 is that the method for the present invention creates container group flow chart;
Fig. 2 is the method for the present invention container group scheduling flow chart.
Specific implementation method
As shown in Figure 1, 2, the present invention creates a container group first, and container is arranged in initialization container group inner pressurd vessel quantity
Scheduling strategy, setting container expansion reduce strategy:
For the container group that needs are dispatched, following method is called to distribute available physical node the appearance new for schedule creating
Device.
Claims (5)
1. a kind of dispatching method of the container group suitable for cloud platform, it is characterised in that: the method includes the creation of container group
And scheduling;Specifically includes the following steps:
Step 1: creating and upload a container mirror image, for creating the container object in cloud platform;
Step 2: container group inner pressurd vessel number is arranged in the mirror image creation container group uploaded in selection step 1;
Step 3: the scheduling strategy of setting container group, including cpu utilization rate, memory usage amount, disk io, network io;
Step 4: the expanding policy of setting container group determines extension, reduction according to amount of access, container payload;
Step 5: scheduler obtains all container groups in cloud platform and traverses container group, obtains the scheduling strategy of container group;
Step 6: judging whether there is container delay machine in container group, physical node is distributed if having and re-creates container;
Step 7: according to container group scheduling strategy, scheduler compares whether physical node meets schedulable condition, executes step if meeting
Rapid 8, it is no to then follow the steps 10;
Step 8: scheduler obtains the configuration of container group, distributes and the physical node of scheduling is suitble to be scheduled back to container group;
Step 9: scheduler creates a new container using container mirror image according to distribution physical node, from original after the completion of creation
A container is deleted in container group;
Step 10: scheduler obtains the load of container group, amount of access, judges whether to meet extension, reduction preset value;If meeting execution
Step 11, no to then follow the steps 15;
Step 11: scheduler judgement needs to extend, and executes step 12;Judgement needs to reduce, and executes step 14;
Step 12: scheduler obtains the configuration of container group, distributes and the physical node of scheduling is suitble to be scheduled back to container group;
Step 13: scheduler creates a new container using container mirror image according to distribution physical node;
Step 14: scheduler, which obtains, to be loaded minimum container in container group and closes;
Step 15: terminating.
2. according to the method described in claim 1, it is characterized by: container mirror image is can be all in cloud platform after uploading
The mirror image that physical node is all read;
Container group inner pressurd vessel number refers to the container number created when the initialization of container group.
3. method according to claim 1 or 2, it is characterised in that: the scheduler judges container host in container group
Whether physical node cpu, memory, disk io, network io meet the threshold value of scheduling strategy setting;When these segmentation symbols match, according to scheduling plan
Basis, which is correspondingly arranged, slightly in remaining physical node selects optimal physical node to be scheduled;Make in target physical node
It is included in container group with designated mirror creation container;
The scheduler, when meeting extension, selects in remaining physical node optimal in extension, reduction according to strategy
Physical node created;When meeting reduction, optimal container is chosen according to strategy and is closed.
4. method according to claim 1 or 2, it is characterised in that: the scheduler is reported by monitoring module timing
The cpu utilization rate of physical node, memory usage amount, disk io, network io to scheduler;And in collection vessel group container it is negative
It carries, container ip amount of access to scheduler.
5. according to the method described in claim 3, it is characterized by: the scheduler passes through monitoring module, by monitoring module
The cpu utilization rate of physical node, memory usage amount, disk io, network io to scheduler are reported in timing;And hold in collection vessel group
The load of device, container ip amount of access to scheduler.
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US10949250B2 (en) | 2018-02-07 | 2021-03-16 | Red Hat, Inc. | Image subunit based guest scheduling |
CN114265704B (en) * | 2022-03-03 | 2022-05-17 | 环球数科集团有限公司 | Hybrid container cloud scheduling system based on convex optimization |
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CN105119952A (en) * | 2015-07-07 | 2015-12-02 | 北京京东尚科信息技术有限公司 | Method and system for automatically and flexibly assigning resource under cloud platform |
CN105245373A (en) * | 2015-10-12 | 2016-01-13 | 天津市普迅电力信息技术有限公司 | Construction and operation method of container cloud platform system |
CN105554102A (en) * | 2015-12-14 | 2016-05-04 | 中电科华云信息技术有限公司 | Elastic expansion method based on container cluster and application system thereof |
CN106020930A (en) * | 2016-05-13 | 2016-10-12 | 深圳市中润四方信息技术有限公司 | Application container based application management method and system |
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US9946527B2 (en) * | 2013-03-15 | 2018-04-17 | Bmc Software, Inc. | Service placement techniques for a cloud datacenter |
US9692666B2 (en) * | 2014-12-22 | 2017-06-27 | Rovio Entertainment Ltd. | Container manager |
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CN105119952A (en) * | 2015-07-07 | 2015-12-02 | 北京京东尚科信息技术有限公司 | Method and system for automatically and flexibly assigning resource under cloud platform |
CN105245373A (en) * | 2015-10-12 | 2016-01-13 | 天津市普迅电力信息技术有限公司 | Construction and operation method of container cloud platform system |
CN105554102A (en) * | 2015-12-14 | 2016-05-04 | 中电科华云信息技术有限公司 | Elastic expansion method based on container cluster and application system thereof |
CN106020930A (en) * | 2016-05-13 | 2016-10-12 | 深圳市中润四方信息技术有限公司 | Application container based application management method and system |
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