CN105554102A - Elastic expansion method based on container cluster and application system thereof - Google Patents
Elastic expansion method based on container cluster and application system thereof Download PDFInfo
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- CN105554102A CN105554102A CN201510929738.0A CN201510929738A CN105554102A CN 105554102 A CN105554102 A CN 105554102A CN 201510929738 A CN201510929738 A CN 201510929738A CN 105554102 A CN105554102 A CN 105554102A
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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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1025—Dynamic adaptation of the criteria on which the server selection is based
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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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1029—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers using data related to the state of servers by a load balancer
-
- 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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1031—Controlling of the operation of servers by a load balancer, e.g. adding or removing servers that serve requests
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Abstract
The present invention provides an elastic expansion method based on a container cluster and an application system thereof. The method comprises the steps of (1) creating a container cluster, and setting the threshold of elastic expansion, (2) judging whether a container in the container cluster is started or not, and executing a corresponding operation according to a judgment result, (3) setting a unified access point when all containers are started, (4) triggering elastic expansion when the indicator of the container in the container cluster reaches the set threshold, and adding or deleting the container, (5) in the elastic expansion process, adjusting the unified access point as a load balance strategy, which means that an access flow is always oriented to a viable container, (6) adding a new container into the range managed by the unified access point if the new container exists after the elastic expansion is completed. According to the method and the system, the number of the container cluster can be dynamically adjusted according to a monitoring data result, thus online application access in not influenced by application traffic, the maximization of resource utilization is realized, and the waste of resources in an idle time is avoided.
Description
Technical field
The present invention relates to the cloud platform technology based on container technique, particularly, relate to a kind of elastic telescopic method based on container cluster and application system thereof.
Background technology
At present, be that the container technique of representative comes into vogue fast with Docker, and container technique staple product direction is exactly " container cloud ".Market is also more and more higher to container cloud demand.For an outstanding container cloud, should at least to meet following some:
1, the Intelligent telescopic ability of application;
2, seamless application updating ability;
3, sufficient resource utilization capacity.
The claimed scheme of the present invention mainly solves the first point; namely the Intelligent telescopic ability applied; this application is very general: the visit capacity applied when in certain period becomes suddenly large; the configuration of original application system can not meet the demand of user, then need to carry out intelligent expansion to increase number of servers.
At present on the market, exist a lot based on the cloud platform of container technique, comprise kubernetes, mesos, daocloud etc., but these platforms all can't solve the Intelligent telescopic problem of application effectively, what wherein goolge provided increase income product kubernetes, manual elastic telescopic can only be accomplished, be not well positioned to meet the application system on line.The present invention, by real-time monitoring of containers resource service condition, realizes the elastic telescopic of intelligence, meets the demand of container cloud platform in Intelligent telescopic completely according to corresponding policy mechanism.
Summary of the invention
For defect of the prior art, the object of this invention is to provide a kind of elastic telescopic method based on container cluster and application system thereof.
According to the elastic telescopic method based on container cluster provided by the invention, comprise the steps:
Step 1: create container cluster, and set the threshold value of elastic telescopic;
Step 2: judge in container cluster, whether container starts, performs corresponding operating according to judged result;
Step 3: after all containers all start, unified access point is set;
Step 4: after the index of container reaches setting threshold in container cluster, triggers elastic telescopic, newly-increased or deletion container;
Step 5: in elastic telescopic process, unified access point is adjusted to load balancing, namely browsing process lead all the time survival container;
Step 6: after elastic telescopic completes, if there is new volume increasing device, then join unified access point receive the scope of pipe.
Preferably, maximum CPU usage when described threshold value refers to that container runs or maximum memory utilization rate.
Preferably, described step 2 comprises:
Step 2.1: cyclic query container run time behaviour, judges whether container starts, if start, timing acquisition container resource service condition, enters step 2.2, if do not start, continues this circular wait container and starts.
Preferably, described step 3 comprises: after all containers all start, a newly-built virtual IP address is as the unified access point of container cluster, described accessing points by providing the outside access to container cluster based on the load balancing of polling dispatching or IP address assignment, and externally announces that container cluster is ready.
Preferably, described step 4 comprises: in the process that container cluster is externally served, and continues to resolve container index corresponding to container resource service condition, after container index reaches setting threshold, triggers elastic telescopic, newly-increased or deletion container.
According to the system of the above-mentioned elastic telescopic method based on container cluster of application provided by the invention, comprising: the management of container cluster, proxy module, communication module, elastic telescopic module, container monitors module, wherein
Described container cluster comprises multiple container, for dynamically increasing according to the instruction of elastic telescopic management module and delete the number of containers in container cluster module;
The resource service condition of container cluster module for issuing the instruction of communication module, or is uploaded to container monitors module by described proxy module;
Described container monitors module is used for the resource service condition of monitoring of containers cluster module, and this service condition is uploaded to elastic telescopic management module;
The instruction that described communication module is used for elastic telescopic to manage module sends to proxy module;
The monitor data of described elastic telescopic management module real time parsing container monitors module, after container index reaches setting threshold, trigger elastic telescopic, issuing command increases or deletes the container in container cluster newly.
Preferably, maximum CPU usage when described threshold value refers to that container runs or maximum memory utilization rate.
Compared with prior art, the present invention has following beneficial effect:
1, the elastic telescopic method based on container cluster provided by the invention can adjust the quantity of container cluster dynamically according to monitor data result, and application on site is accessed not by the impact of application access amount.
2, the elastic telescopic method based on container cluster provided by the invention achieves the maximization of resource utilization, avoids the waste of period in leisure resource.
3, the elastic telescopic method based on container cluster provided by the invention can complete fast.
Accompanying drawing explanation
By reading the detailed description done non-limiting example with reference to the following drawings, other features, objects and advantages of the present invention will become more obvious:
Fig. 1 is the container cluster elastic telescopic method schematic diagram in the present invention.
Embodiment
Below in conjunction with specific embodiment, the present invention is described in detail.Following examples will contribute to those skilled in the art and understand the present invention further, but not limit the present invention in any form.It should be pointed out that to those skilled in the art, without departing from the inventive concept of the premise, some distortion and improvement can also be made.These all belong to protection scope of the present invention.
According to the elastic telescopic method based on container cluster provided by the invention, comprise the steps:
Step 1: create container cluster, and set the threshold value of elastic telescopic;
Step 2: judge in container cluster, whether container starts, performs corresponding operating according to judged result;
Step 3: after all containers all start, unified access point is set;
Step 4: after the index of container reaches setting threshold in container cluster, triggers elastic telescopic, newly-increased or deletion container;
Step 5: in elastic telescopic process, unified access point is adjusted to load balancing, namely browsing process lead all the time survival container;
Step 6: after elastic telescopic completes, if there is new volume increasing device, then join unified access point receive the scope of pipe.
Maximum CPU usage when described threshold value refers to that container runs or maximum memory utilization rate.
Described step 2 comprises:
Step 2.1: cyclic query container run time behaviour, judges whether container starts, if start, timing acquisition container resource service condition, enters step 2.2, if do not start, continues this circular wait container and starts.
Described step 3 comprises: after all containers all start, a newly-built virtual IP address is as the unified access point of container cluster, described accessing points by providing the outside access to container cluster based on the load balancing of polling dispatching or IP address assignment, and externally announces that container cluster is ready.
Described step 4 comprises: in the process that container cluster is externally served, and continues to resolve container index corresponding to container resource service condition, after container index reaches setting threshold, triggers elastic telescopic, newly-increased or deletion container.
According to the system of the above-mentioned elastic telescopic method based on container cluster of application provided by the invention, comprising: the management of container cluster, proxy module, communication module, elastic telescopic module, container monitors module, wherein
Described container cluster comprises multiple container, for dynamically increasing according to the instruction of elastic telescopic management module and delete the number of containers in container cluster module;
The resource service condition of container cluster module for issuing the instruction of communication module, or is uploaded to container monitors module by described proxy module;
Described container monitors module is used for the resource service condition of monitoring of containers cluster module, and this service condition is uploaded to elastic telescopic management module;
The instruction that described communication module is used for elastic telescopic to manage module sends to proxy module;
The monitor data of described elastic telescopic management module real time parsing container monitors module, after container index reaches setting threshold, trigger elastic telescopic, issuing command increases or deletes the container in container cluster newly.
Maximum CPU usage when described threshold value refers to that container runs or maximum memory utilization rate.
Particularly, as shown in Figure 1, service discovery implementation comprises:
Steps A 1: after container cluster and cluster accessing points are in upstate, system marks container cluster is for may have access to state, and record enters service discovery system.
Steps A 2: external system, by calling service discovery system interface, inquires container cluster and started to provide service.
Elastic telescopic strategy is as follows: the CPU and the memory usage that within every 30 seconds, obtain a cluster inner pressure vessel, judge whether utilization rate exceedes the threshold value of setting; Arrive threshold status and continue 1 minutes, carry out first time and stretch.Design conditions are: target container quantity=smallest positive integral (summation (current container C PU or memory usage)/threshold value).Namely the CPU of current all containers or memory usage summation are divided by the CPU of single container or memory usage threshold value, obtain final number of containers; Each expanding-contracting action just can trigger second time and stretch action after completing 3 minutes, just can trigger second time contracting action after 5 minutes.What second time was flexible satisfy condition is the CPU average service rate of container or memory usage higher than threshold value 1.1 times or lower than threshold value 0.9 times.
Particularly, the network topology establishment step in the present invention is as follows: all containers are all dispensed in a unified virtual network.At every turn newly-built container all obtains new virtual network IP; Distribute the unified access point that a fixing virtual network IP is container cluster, and keep this IP to immobilize; By this fixing IP distribution network flow to each container instance in associated container cluster.
Above specific embodiments of the invention are described.It is to be appreciated that the present invention is not limited to above-mentioned particular implementation, those skilled in the art can make various distortion or amendment within the scope of the claims, and this does not affect flesh and blood of the present invention.
Claims (7)
1., based on an elastic telescopic method for container cluster, it is characterized in that, comprise the steps:
Step 1: create container cluster, and set the threshold value of elastic telescopic;
Step 2: judge in container cluster, whether container starts, performs corresponding operating according to judged result;
Step 3: after all containers all start, unified access point is set;
Step 4: after the index of container reaches setting threshold in container cluster, triggers elastic telescopic, newly-increased or deletion container;
Step 5: in elastic telescopic process, unified access point is adjusted to load balancing, namely browsing process lead all the time survival container;
Step 6: after elastic telescopic completes, if there is new volume increasing device, then join unified access point receive the scope of pipe.
2. the elastic telescopic method based on container cluster according to claim 1, is characterized in that, maximum CPU usage when described threshold value refers to that container runs or maximum memory utilization rate.
3. the elastic telescopic method based on container cluster according to claim 1, it is characterized in that, described step 2 comprises:
Step 2.1: cyclic query container run time behaviour, judges whether container starts, if start, timing acquisition container resource service condition, enters step 2.2, if do not start, continues this circular wait container and starts.
4. the elastic telescopic method based on container cluster according to claim 1, it is characterized in that, described step 3 comprises: after all containers all start, a newly-built virtual IP address is as the unified access point of container cluster, described accessing points by providing the outside access to container cluster based on the load balancing of polling dispatching or IP address assignment, and externally announces that container cluster is ready.
5. the elastic telescopic method based on container cluster according to claim 3, it is characterized in that, described step 4 comprises: in the process that container cluster is externally served, continue to resolve container index corresponding to container resource service condition, after container index reaches setting threshold, trigger elastic telescopic, newly-increased or deletion container.
6. application rights requires a system for the elastic telescopic method based on container cluster according to any one of 1 to 5, it is characterized in that, comprising: the management of container cluster, proxy module, communication module, elastic telescopic module, container monitors module, wherein
Described container cluster comprises multiple container, for dynamically increasing according to the instruction of elastic telescopic management module and delete the number of containers in container cluster module;
The resource service condition of container cluster module for issuing the instruction of communication module, or is uploaded to container monitors module by described proxy module;
Described container monitors module is used for the resource service condition of monitoring of containers cluster module, and this service condition is uploaded to elastic telescopic management module;
The instruction that described communication module is used for elastic telescopic to manage module sends to proxy module;
The monitor data of described elastic telescopic management module real time parsing container monitors module, after container index reaches setting threshold, trigger elastic telescopic, issuing command increases or deletes the container in container cluster newly.
7. application according to claim 6 is based on the system of the elastic telescopic method of sets of containers group, maximum CPU usage when described threshold value refers to that container runs or maximum memory utilization rate.
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Cited By (31)
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| CN105872082A (en) * | 2016-05-18 | 2016-08-17 | 上海交通大学 | Fine-grained resource response system based on load balancing algorithm of container cluster |
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| CN106230986A (en) * | 2016-09-21 | 2016-12-14 | 南方电网科学研究院有限责任公司 | The resource adaptation dispatching patcher of a kind of electrically-based PaaS cloud platform and method |
| CN106293820A (en) * | 2016-08-02 | 2017-01-04 | 山东大学 | Exploitation test O&M integral system, deployment, full dose and increment updating method |
| CN106506655A (en) * | 2016-11-18 | 2017-03-15 | 国云科技股份有限公司 | A kind of container group scheduling method suitable for cloud platform |
| CN106686132A (en) * | 2017-02-06 | 2017-05-17 | 郑州云海信息技术有限公司 | Yunhai system deployment method and system |
| CN106961351A (en) * | 2017-03-03 | 2017-07-18 | 南京邮电大学 | Intelligent elastic telescopic method based on Docker container clusters |
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| CN107666525A (en) * | 2017-09-08 | 2018-02-06 | 北京京东尚科信息技术有限公司 | The method and apparatus of cluster container IP distribution |
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