CN108762912A - A kind of method and apparatus of container cluster elastic telescopic - Google Patents
A kind of method and apparatus of container cluster elastic telescopic Download PDFInfo
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- CN108762912A CN108762912A CN201810721783.0A CN201810721783A CN108762912A CN 108762912 A CN108762912 A CN 108762912A CN 201810721783 A CN201810721783 A CN 201810721783A CN 108762912 A CN108762912 A CN 108762912A
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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
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
- H04L41/5054—Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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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
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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Abstract
The embodiment of the invention discloses a kind of method and apparatus of container cluster elastic telescopic, the method includes:The monitoring data in cluster on each node is acquired by the heapster components built in container cluster and is summarized;Each is compared using monitoring data with pre-set elastic telescopic strategy;The extension or diminution of container application are carried out according to comparison result.The embodiment of the present invention can realize the extension or diminution of container application copy amount, greatly improve the utilization ratio of resource in cluster in container cluster according to monitor control index dynamic adjustment container copy amount.
Description
Technical field
The present invention relates to cloud computing technology, espespecially a kind of method and apparatus of container cluster elastic telescopic.
Background technology
Cloud computing (cloud computing) refers to being based on Internet related services, and meter is realized by virtualization mode
Calculate the new ant algorithms of resource-sharing.Its thought core is by network United Dispatching and management calculating, storage, software, network etc.
Resource realizes resource consolidation and configuration optimization, and different user is met in a manner of service and obtains and extends at any time, use on demand simultaneously
Payment, reduces all kinds of demands such as cost to the maximum extent.
With the continuous maturation of cloud computing technology, container technique gradually becomes the Hot spots for development of industry, each mainstream cloud computing
Platform also provides rapidly container service, the administrative center that Kubernetes is applied as container, in cluster bar none
The life cycle of all containers in portion is managed, and the health examination in conjunction with itself and fault recovering mechanism realize cluster internal
How the high availability of application layer while container cluster provides powerful convenient, efficiently uses the resource in cluster and realizes and hold
The high availability of device application becomes the emphasis of research.
There is the drawbacks of can not adjusting container copy amount according to monitor control index dynamic in conventional container cluster, reduces collection
The utilization ratio of resource in group.
Invention content
In order to solve the above-mentioned technical problem, an embodiment of the present invention provides a kind of methods and dress of container cluster elastic telescopic
It sets, container application copy amount can be realized in container cluster according to monitor control index dynamic adjustment container copy amount
Extension is reduced, and the utilization ratio of resource in cluster is greatly improved.
In order to reach the object of the invention, on the one hand, an embodiment of the present invention provides a kind of sides of container cluster elastic telescopic
Method, including:
The monitoring data in cluster on each node is adopted by the heapster components built in container cluster
Collection summarizes;
Each is compared using monitoring data with pre-set elastic telescopic strategy;
The extension or diminution of container application are carried out according to comparison result.
Further, the elastic telescopic strategy further includes:
Container minimum number of copies, maximum number of copies after the threshold value of elastic telescopic, elastic telescopic and detection time;Wherein institute
The threshold value for stating elastic telescopic includes central processor CPU, memory usage.
Further, described be compared each with pre-set elastic telescopic strategy using monitoring data is also wrapped
It includes:
By each in the cluster got using the threshold value of the average value and pre-set elastic telescopic of monitoring data
It is compared.
Further, described be compared each with pre-set elastic telescopic strategy using monitoring data is also wrapped
It includes:
The CPU or memory usage for the container that the heapster components are got and pre-set elastic telescopic
Respective threshold in strategy is compared;
When more than its threshold value, increase the copy amount of container;
The container copy amount is limited by pre-set elastic telescopic strategy.
Further, the method further includes:
The tolerance value of container application performance metrics-thresholds is set, when 5% that tolerance value is the threshold value above or below setting
When, the elastic telescopic activity of triggering container application.
Further, the method further includes:
The movable detection time of elastic telescopic is set, it is primary that detection in 30 seconds is set.
Further, the method further includes:
It is to increase or decrease 1 container copy every time that the copy amount for extending or reducing every time, which is arranged,.
On the other hand, the embodiment of the present invention additionally provides a kind of device of container cluster elastic telescopic, including:
Summarizing module is acquired, for the heapster components by being built in container cluster by each node in cluster
Monitoring data be acquired and summarize;
Comparison module, for each to be compared using monitoring data with pre-set elastic telescopic strategy;
Elastic telescopic module, extension or diminution for carrying out container application according to comparison result.
Further, the elastic telescopic strategy further includes:
Container minimum number of copies, maximum number of copies after the threshold value of elastic telescopic, elastic telescopic and detection time;Wherein institute
The threshold value for stating elastic telescopic includes central processor CPU, memory usage.
Further, institute's comparison module is additionally operable to:
By each in the cluster got using the threshold value of the average value and pre-set elastic telescopic of monitoring data
It is compared.
Further, institute's comparison module is additionally operable to:
The CPU or memory usage for the container that the heapster components are got and pre-set elastic telescopic
Respective threshold in strategy is compared;
When more than its threshold value, increase the copy amount of container;
The container copy amount is limited by pre-set elastic telescopic strategy.
Further, described device is additionally operable to:
The tolerance value of container application performance metrics-thresholds is set, when 5% that tolerance value is the threshold value above or below setting
When, the elastic telescopic activity of triggering container application.
Further, described device is additionally operable to:
The movable detection time of elastic telescopic is set, it is primary that detection in 30 seconds is set.
Further, described device is additionally operable to:
It is to increase or decrease 1 container copy every time that the copy amount for extending or reducing every time, which is arranged,.
The embodiment of the present invention is by the heapster components built in container cluster by the prison in cluster on each node
Control data, which are acquired, to summarize;Each is compared using monitoring data with pre-set elastic telescopic strategy;According to
Comparison result carries out the extension or diminution of container application.The embodiment of the present invention can be in container cluster according to monitor control index dynamic
Container copy amount is adjusted, the extension or diminution of container application copy amount is realized, greatly improves resource in cluster
Utilization ratio.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages can be by specification, rights
Specifically noted structure is realized and is obtained in claim and attached drawing.
Description of the drawings
Attached drawing is used for providing further understanding technical solution of the present invention, and a part for constitution instruction, with this
The embodiment of application technical solution for explaining the present invention together, does not constitute the limitation to technical solution of the present invention.
Fig. 1 is the flow chart of the method for container cluster elastic telescopic of the embodiment of the present invention;
Fig. 2 is the structure chart of the device of container cluster elastic telescopic of the embodiment of the present invention.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature mutually can arbitrarily combine.
Step shown in the flowchart of the accompanying drawings can be in the computer system of such as a group of computer-executable instructions
It executes.Also, although logical order is shown in flow charts, and it in some cases, can be with suitable different from herein
Sequence executes shown or described step.
Fig. 1 is the flow chart of the method for container cluster elastic telescopic of the embodiment of the present invention, as shown in Figure 1, the present invention is implemented
The method of example includes the following steps:
Step 100:By the heapster components built in container cluster by the monitoring number in cluster on each node
Summarize according to being acquired;
Specifically, the embodiment of the present invention builds heapster components in container cluster, can be by each node in cluster
On monitoring data be acquired and summarize, such as obtain the average value that each in cluster applies monitoring data, this average value will be made
For the performance indicator data source of container elastic telescopic.
Step 101:Each is compared using monitoring data with pre-set elastic telescopic strategy;
Step 102:The extension or diminution of container application are carried out according to comparison result.
Further, the elastic telescopic strategy further includes:
Container minimum number of copies, maximum number of copies after the threshold value of elastic telescopic, elastic telescopic and detection time;Wherein institute
The threshold value for stating elastic telescopic includes central processor CPU, memory usage.
Further, described be compared each with pre-set elastic telescopic strategy using monitoring data is also wrapped
It includes:
By each in the cluster got using the threshold value of the average value and pre-set elastic telescopic of monitoring data
It is compared.
Further, described be compared each with pre-set elastic telescopic strategy using monitoring data is also wrapped
It includes:
The CPU or memory usage for the container that the heapster components are got and pre-set elastic telescopic
Respective threshold in strategy is compared;
When more than its threshold value, increase the copy amount of container;
The container copy amount is limited by pre-set elastic telescopic strategy.
Specifically, the elastic telescopic strategy that setting container is applied.Container after threshold value, elastic telescopic including elastic telescopic
Minimum number of copies, maximum number of copies and detection time.The threshold value index of elastic telescopic includes CPU, memory usage, when container is answered
When with load too high, heapster gets the CPU or memory usage of this container, then by it with the threshold value that sets into
Row compares, and when more than its threshold value, will increase the copy amount of container, the elastic telescopic strategy that container copy amount is arranged
Limitation, does not exceed the maximum value of container copy amount.
For the container pressurization in container cluster.Elastic telescopic supports extension-CPU, the memory of two kinds of performance indicators, we
It can make CPU or memory to container pressurization in such a way that the load for increasing application either executes algorithm script in container
Utilization rate rises, until the threshold value of triggering extension, it is found that container copy amount increases, the load reduction of container.
Further, the method further includes:
The tolerance value of container application performance metrics-thresholds is set, when 5% that tolerance value is the threshold value above or below setting
When, the elastic telescopic activity of triggering container application.
Further, the method further includes:
The movable detection time of elastic telescopic is set, it is primary that detection in 30 seconds is set.
Further, the method further includes:
It is to increase or decrease 1 container copy every time that the copy amount for extending or reducing every time, which is arranged,.
The method of container cluster elastic telescopic provided in an embodiment of the present invention based on heapster, is obtained by heapster
The monitoring data applied in cluster is taken, and monitoring data is compared with the threshold value set, increases or reduce container copy newly,
Resource efficiently uses in realization cluster.
Precondition of the embodiment of the present invention needs to dispose heapster components in Kubernetes clusters, and heapster is negative
Monitoring data in cluster on each node is acquired by duty to summarize, and obtains being averaged using monitoring data of each in cluster
Value.Secondly, container elastic telescopic strategy, including the threshold value of elastic telescopic and the container copy amount minimum after elastic telescopic are set
Value, maximum value, when the monitoring numerical value of heapster collected container applications it is high/low in the threshold value of setting when, it will triggering appearance
Extension/diminution of device application copy amount, until acquisition monitoring data value realizes the height of application in the Near Threshold being arranged
Availability, meanwhile, improve the utilization ratio of resource in cluster.
The specific implementation process that technology of the embodiment of the present invention is realized is as follows:
Build heapster container assemblies.Creating for heapster containers can use the mode for executing yaml files,
Yaml documents determine title, copy amount and the mirror image address of heapster containers, then execute kubectl create
Heapster.yaml creates heapster containers.
Further, the acquisition of heapster monitoring datas depends on cAdvisor components, cAdvisor to be received as agent
Collect the resource data, including cpu, memory, network, file system etc. of the machine and container, heapster passes through each clustered node
On kubelet, that is, collect and data and summarize on actual cAdvisor.
The elastic telescopic strategy of cluster inner pressurd vessel application, including the container after the threshold value of elastic telescopic, elastic telescopic are set
Minimum number of copies, maximum number of copies and detection time.
The threshold value index of elastic telescopic includes CPU, memory usage, and when container application load is excessively high, heapster is obtained
The CPU or memory usage of this container are got, is then compared it with the threshold value set, when more than its threshold value,
The copy amount of container will be increased, container copy amount is limited by the elastic telescopic strategy being arranged, and does not exceed container copy
The maximum value of quantity.
Further, if the load that heapster gets container application lowers, elastic telescopic can also be triggered
Activity reduces the copy amount of container application, improves the level of resources utilization in cluster.
Further, if some performance indicator of container application is just above the threshold value of setting, we can set at this time
Set a tolerance value, for example, the threshold value more than setting 5%, can just trigger the elastic telescopic activity of container application.
Further, the movable detection time of elastic telescopic can be arranged in we, acquiescence, and invention, which can be arranged 30 seconds, to be detected
Once.
Further, the copy amount for extending or reducing every time can be arranged in we, acquiescence, increase or decrease every time
1 container copy.
Precondition of the embodiment of the present invention needs to dispose heapster components in Kubernetes clusters, and heapster is negative
Monitoring data in cluster on each node is acquired by duty to summarize, and obtains being averaged using monitoring data of each in cluster
Value.Secondly, container elastic telescopic strategy, including the threshold value of elastic telescopic and the container copy amount minimum after elastic telescopic are set
Value, maximum value, when the monitoring numerical value of heapster collected container applications it is high/low in the threshold value of setting when, it will triggering appearance
Extension/diminution of device application copy amount, until acquisition monitoring data value realizes the height of application in the Near Threshold being arranged
Availability, meanwhile, improve the utilization ratio of resource in cluster.
Further, if the load that heapster gets container application lowers, elastic telescopic can also be triggered
Activity reduces the copy amount of container application, improves the level of resources utilization in cluster.
Further, if some performance indicator of container application is just above the threshold value of setting, we can set at this time
Set a tolerance value, for example, the threshold value more than setting 5%, can just trigger the elastic telescopic activity of container application.
Further, the movable detection time of elastic telescopic can be arranged in we, acquiescence, and invention, which can be arranged 30 seconds, to be detected
Once.
Further, the copy amount for extending or reducing every time can be arranged in we, acquiescence, increase or decrease every time
1 container copy.
Monitoring data in cluster on each node is acquired by the embodiment of the present invention by heapster components to summarize,
The average value that each in cluster applies monitoring data is obtained, and it is compared with the threshold value that setting elastic telescopic is arranged,
To realize the extension or diminution of container application, the utilization ratio of resource in cluster is greatly improved.
Fig. 2 is the structure chart of the device of container cluster elastic telescopic of the embodiment of the present invention, as shown in Fig. 2, the present invention is implemented
A kind of device of on the other hand container cluster elastic telescopic that example provides, including:
Summarizing module 201 is acquired, will each be saved in cluster for the heapster components by being built in container cluster
Monitoring data on point, which is acquired, to summarize;
Comparison module 202, for each to be compared using monitoring data with pre-set elastic telescopic strategy;
Elastic telescopic module 203, extension or diminution for carrying out container application according to comparison result.
Further, the elastic telescopic strategy further includes:
Container minimum number of copies, maximum number of copies after the threshold value of elastic telescopic, elastic telescopic and detection time;Wherein institute
The threshold value for stating elastic telescopic includes central processor CPU, memory usage.
Further, institute's comparison module 202 is additionally operable to:
By each in the cluster got using the threshold value of the average value and pre-set elastic telescopic of monitoring data
It is compared.
Further, institute's comparison module 202 is additionally operable to:
The CPU or memory usage for the container that the heapster components are got and pre-set elastic telescopic
Respective threshold in strategy is compared;
When more than its threshold value, increase the copy amount of container;
The container copy amount is limited by pre-set elastic telescopic strategy.
Further, described device is additionally operable to:
The tolerance value of container application performance metrics-thresholds is set, when 5% that tolerance value is the threshold value above or below setting
When, the elastic telescopic activity of triggering container application.
Further, described device is additionally operable to:
The movable detection time of elastic telescopic is set, it is primary that detection in 30 seconds is set.
Further, described device is additionally operable to:
It is to increase or decrease 1 container copy every time that the copy amount for extending or reducing every time, which is arranged,.
The embodiment of the present invention is by the heapster components built in container cluster by the prison in cluster on each node
Control data, which are acquired, to summarize;Each is compared using monitoring data with pre-set elastic telescopic strategy;According to
Comparison result carries out the extension or diminution of container application.The embodiment of the present invention can be in container cluster according to monitor control index dynamic
Container copy amount is adjusted, the extension or diminution of container application copy amount is realized, greatly improves resource in cluster
Utilization ratio.
The embodiment of the present invention is solved in current container cluster and cannot effectively be adjusted into Mobile state according to the load of application
The problem of container copy amount, provides a kind of method of the container cluster elastic telescopic based on heapster, passes through
Heapster container assemblies get the monitoring data on each node and carry out its threshold value being arranged with setting elastic telescopic
Compare, to realize the extension or diminution of container application copy amount.Therefore, the embodiment of the present invention compensates for conventional container cluster
In can not be according to monitor control index dynamic adjustment container copy amount the drawbacks of, greatly improve resource in cluster utilizes effect
Rate.
Although disclosed herein embodiment it is as above, the content only for ease of understanding the present invention and use
Embodiment is not limited to the present invention.Technical staff in any fields of the present invention is taken off not departing from the present invention
Under the premise of the spirit and scope of dew, any modification and variation, but the present invention can be carried out in the form and details of implementation
Scope of patent protection, still should be subject to the scope of the claims as defined in the appended claims.
Claims (10)
1. a kind of method of container cluster elastic telescopic, which is characterized in that including:
The monitoring data in cluster on each node is acquired remittance by the heapster components built in container cluster
Always;
Each is compared using monitoring data with pre-set elastic telescopic strategy;
The extension or diminution of container application are carried out according to comparison result.
2. the method for container cluster elastic telescopic according to claim 1, which is characterized in that the elastic telescopic strategy is also
Including:
Container minimum number of copies, maximum number of copies after the threshold value of elastic telescopic, elastic telescopic and detection time;The wherein described bullet
Property flexible threshold value include central processor CPU, memory usage.
3. the method for container cluster elastic telescopic according to claim 2, which is characterized in that described to supervise each application
Control data are compared with pre-set elastic telescopic strategy further includes:
Each in the cluster got is carried out using the average value of monitoring data and the threshold value of pre-set elastic telescopic
Compare.
4. the method for container cluster elastic telescopic according to claim 2, which is characterized in that described to supervise each application
Control data are compared with pre-set elastic telescopic strategy further includes:
The CPU or memory usage for the container that the heapster components are got and pre-set elastic telescopic strategy
In respective threshold be compared;
When more than its threshold value, increase the copy amount of container;
The container copy amount is limited by pre-set elastic telescopic strategy.
5. the method for container cluster elastic telescopic according to claim 3, which is characterized in that further include:
The tolerance value of container application performance metrics-thresholds is set, when tolerance value is 5% of the threshold value above or below setting, is touched
Send out the elastic telescopic activity of container application.
6. the method for container cluster elastic telescopic according to claim 2, which is characterized in that further include:
The movable detection time of elastic telescopic is set, it is primary that detection in 30 seconds is set.
7. the method for container cluster elastic telescopic according to claim 2, which is characterized in that further include:
It is to increase or decrease 1 container copy every time that the copy amount for extending or reducing every time, which is arranged,.
8. a kind of device of container cluster elastic telescopic, which is characterized in that including:
Summarizing module is acquired, for the heapster components by being built in container cluster by the prison in cluster on each node
Control data, which are acquired, to summarize;
Comparison module, for each to be compared using monitoring data with pre-set elastic telescopic strategy;
Elastic telescopic module, extension or diminution for carrying out container application according to comparison result.
9. the device of container cluster elastic telescopic according to claim 8, which is characterized in that the elastic telescopic strategy is also
Including:
Container minimum number of copies, maximum number of copies after the threshold value of elastic telescopic, elastic telescopic and detection time;The wherein described bullet
Property flexible threshold value include central processor CPU, memory usage.
10. the device of container cluster elastic telescopic according to claim 9, which is characterized in that institute's comparison module is additionally operable to:
Each in the cluster got is carried out using the average value of monitoring data and the threshold value of pre-set elastic telescopic
Compare.
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CN110096336A (en) * | 2019-04-29 | 2019-08-06 | 江苏满运软件科技有限公司 | Data monitoring method, device, equipment and medium |
CN110096336B (en) * | 2019-04-29 | 2022-09-06 | 江苏满运软件科技有限公司 | Data monitoring method, device, equipment and medium |
CN110262899A (en) * | 2019-06-20 | 2019-09-20 | 无锡华云数据技术服务有限公司 | Monitor component elastic telescopic method, apparatus and controlled terminal based on Kubernetes cluster |
CN110262899B (en) * | 2019-06-20 | 2021-05-11 | 华云数据控股集团有限公司 | Monitoring component elastic expansion method and device based on Kubernetes cluster and controlled terminal |
CN111831447A (en) * | 2020-07-16 | 2020-10-27 | 中国民航信息网络股份有限公司 | Application elastic capacity expansion method and device based on performance monitoring |
CN111831447B (en) * | 2020-07-16 | 2024-04-30 | 中国民航信息网络股份有限公司 | Application elastic capacity expansion method and device based on performance monitoring |
CN112073223A (en) * | 2020-08-20 | 2020-12-11 | 丁禹 | System and method for managing and controlling operation of cloud computing terminal and cloud server |
CN112199194A (en) * | 2020-10-14 | 2021-01-08 | 广州虎牙科技有限公司 | Container cluster-based resource scheduling method, device, equipment and storage medium |
CN112199194B (en) * | 2020-10-14 | 2024-04-19 | 广州虎牙科技有限公司 | Resource scheduling method, device, equipment and storage medium based on container cluster |
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