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 PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
elastic telescopic
container
cluster
threshold value
strategy
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
Application number
CN201810721783.0A
Other languages
Chinese (zh)
Inventor
陈皎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhengzhou Yunhai Information Technology Co Ltd
Original Assignee
Zhengzhou Yunhai Information Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhengzhou Yunhai Information Technology Co Ltd filed Critical Zhengzhou Yunhai Information Technology Co Ltd
Priority to CN201810721783.0A priority Critical patent/CN108762912A/en
Publication of CN108762912A publication Critical patent/CN108762912A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/48Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/485Task life-cycle, e.g. stopping, restarting, resuming execution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505Allocation 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5041Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
    • H04L41/5054Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network

Landscapes

  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

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

A kind of method and apparatus of container cluster elastic telescopic
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.
CN201810721783.0A 2018-07-04 2018-07-04 A kind of method and apparatus of container cluster elastic telescopic Pending CN108762912A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810721783.0A CN108762912A (en) 2018-07-04 2018-07-04 A kind of method and apparatus of container cluster elastic telescopic

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810721783.0A CN108762912A (en) 2018-07-04 2018-07-04 A kind of method and apparatus of container cluster elastic telescopic

Publications (1)

Publication Number Publication Date
CN108762912A true CN108762912A (en) 2018-11-06

Family

ID=63975849

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810721783.0A Pending CN108762912A (en) 2018-07-04 2018-07-04 A kind of method and apparatus of container cluster elastic telescopic

Country Status (1)

Country Link
CN (1) CN108762912A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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
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
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

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN106888254A (en) * 2017-01-20 2017-06-23 华南理工大学 A kind of exchange method between container cloud framework based on Kubernetes and its each module
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
US20180089188A1 (en) * 2016-09-26 2018-03-29 Splunk Inc. Hash bucketing of data
CN108009016A (en) * 2016-10-31 2018-05-08 华为技术有限公司 A kind of balancing resource load control method and colony dispatching device
CN108182105A (en) * 2017-12-12 2018-06-19 苏州大学 Local dynamic station moving method and control system based on Docker container techniques

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
US20180089188A1 (en) * 2016-09-26 2018-03-29 Splunk Inc. Hash bucketing of data
CN108009016A (en) * 2016-10-31 2018-05-08 华为技术有限公司 A kind of balancing resource load control method and colony dispatching device
CN106888254A (en) * 2017-01-20 2017-06-23 华南理工大学 A kind of exchange method between container cloud framework based on Kubernetes and its each module
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
CN108182105A (en) * 2017-12-12 2018-06-19 苏州大学 Local dynamic station moving method and control system based on Docker container techniques

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杜威科: "基于Kubemetes的大数据流式计算Spark平台设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Similar Documents

Publication Publication Date Title
CN108762912A (en) A kind of method and apparatus of container cluster elastic telescopic
CN111614570B (en) Flow control system and method for service grid
CN105204781B (en) Compression method, device and equipment
CN108376112A (en) Method for testing pressure, device and readable medium
CN108989238A (en) Method for distributing service bandwidth and related equipment
CN104142860A (en) Resource adjusting method and device of application service system
US20150286494A1 (en) Virtual machine specification adjustment method and apparatus
CN109067867A (en) The virtualization container service elastic telescopic method of data-oriented central loading monitoring
CN103309745B (en) The method and device of the virtual resource configuration of cloud framework
CN111459665A (en) Distributed edge computing system and distributed edge computing method
CN103098014A (en) Storage system
CN108399100A (en) A kind of method of adjustment and device of container resource
CN103503412B (en) For the method and device of scheduling resource
CN107656813A (en) The method, apparatus and terminal of a kind of load dispatch
CN104202388A (en) Automatic load balancing system based on cloud platform
CN106201693B (en) Dispatching method and system in a kind of virtualized environment
WO2015144008A1 (en) Method and device for allocating physical machine to virtual machine
CN106357473B (en) Distributed multi-microcomputer, control method and control device
CN109492024A (en) Data processing method, device, computer equipment and storage medium
CN108471385B (en) Flow control method and device for distributed system
CN109766172A (en) A kind of asynchronous task scheduling method and device
WO2021068568A1 (en) Data collection optimization method, apparatus and device, and readable storage medium
CN110650503A (en) Network access method, device, system and computer readable storage medium
CN109582649A (en) A kind of metadata storing method, device, equipment and readable storage medium storing program for executing
CN115981843A (en) Task scheduling method and device in cloud-edge cooperative power system and computer equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20181106

RJ01 Rejection of invention patent application after publication