CN110489205A - A kind of education services architecture system based on container cluster - Google Patents
A kind of education services architecture system based on container cluster Download PDFInfo
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Abstract
The invention discloses a kind of education services architecture system based on container cluster, including sequentially connected from the bottom to top: physical resource layer, operating system layer, resource management layer and teaching application layer；Cooperation and communication management are carried out between each layer by distributed coordination manager Zookeeper；The teaching application layer provides server interface to provide Teaching Service application for external system；Kubernetes is integrated into resource management layer the teaching application service to obtain bottom physical resource, in Lai Guanli container cluster as frame；The container cluster transfers the teaching application service in this architecture system by teaching application layer for running Docker application, external system.Education services architecture system based on container cluster of the invention can be realized that rapid deployment, Miao Jitingqi school are all kinds of to be served by and public service platform, support clustered deploy(ment), load balancing, disaster recovery and the elastic telescopic of a variety of services.
Description
Technical field
The present invention relates to a kind of cloud computing technical field of memory more particularly to a kind of education services framves based on container cluster
Construction system.
Background technique
Currently, the data of big data era 59% be all invalid data, 70% data are excessively complicated, 85% enterprise's number
It can not timely and accurately be provided correctly for business according to the enterprise that framework can not adapt to demand, 98% that data volume and complexity increase
Information.Nowadays, it big data challenge and opportunity and deposits, big data service platform construction is just experiencing from simple to complex, by list
One arrives development process polynary, by part to whole omnibearing integrated.The cloud data center of support education services at present is past
Toward there are following challenges: 1, being difficult to start large-scale calculations resource in a short time to cope with a large amount of distributed teaching calculate nodes
Demand；2, elastic calculation cost performance is low, and each virtual machine needs to consume a large amount of additional system resources, based on batch processing
In off-line analysis, these resources are even more the most of the time all in idle state.
Summary of the invention
For overcome the deficiencies in the prior art, the purpose of the present invention is to provide a kind of education services based on container cluster
Architecture system can start large-scale calculations resource in a short time to cope with the demand of a large amount of distributed teaching calculate nodes.
The purpose of the present invention adopts the following technical scheme that realization:
A kind of education services architecture system based on container cluster, including sequentially connected from the bottom to top: physical resource layer,
Operating system layer, resource management layer and teaching application layer；It is carried out between each layer by distributed coordination manager Zookeeper
Cooperation and communication management；The teaching application layer provides server interface to provide Teaching Service application for external system；
Kubernetes is integrated into resource management layer to obtain bottom physical resource, the kubernetes as frame
For managing the teaching application service in container cluster；The container cluster is for running Docker application, the teaching application
Service is packaged in Docker application, and external system transfers the application clothes of the teaching in this architecture system by teaching application layer
Business.
It further, further include Log Administration System ELK, the Log Administration System ELK is for realizing platform architecture system
System log collection in production environment, formatting, filtering, index, inquiry.
It further, further include that container transfers ccf layer, the container Scheduling Framework layer is by constantly comparing in cluster
Whether status information is consistent with practical cluster environment, when the status information and virtual condition that find cluster are inconsistent, with container
The control process of clustered node carries out communication creation container instance, keeps status information again consistent with actual environment.
It further, further include High Availabitity key assignments storage system ETCD, the High Availabitity key assignments storage system ETCD storage
Various cluster state informations are in communication with each other by multiple nodes and constitute whole external service, and each node stores complete data,
And guarantee that the data of each node maintenance are consistent by Raft agreement.
Further, the container transfers ccf layer and is also used to give execution following steps: virtual DNS is responsible for storing in ETCD
Middle lookup host name corresponds to IP, and IP is distributed to container and is used, and realizes the logical across host of container by network extension element
News.
Further, the architecture system, using Ansible configuration management tool, is realized when deployment is mass produced
The one-touch installation and deletion of data processing platform (DPP).
Further, the Ansible configuration management tool further includes upgrading and the rollback to component version, and production
The batch configuration of environment is modified.
Further, building is realized as follows for the docker application:
The relevant Docker mirror image of Hadoop big data cluster automatically dispose is constructed by writing Dockerfile file,
Including Server end mirror picture and Agent end mirror image；Using one Server container of the end Server image starting, Agent end is utilized
The multiple Agent ends of image starting are managed collectively multiple Agent ends by the end Server, while opening in Server container
Dynamic Web application；Establish the distributed structure/architecture being made of the end Server, multi-Agent end and the end Web, automation starting deployment
The service of Hadoop correlation big data cluster.
Further, the distributed coordination manager Zookeeper is used to save the non-traffic property of platform architecture system
Metadata, and dynamically notify corresponding subscriber.
Further, the teaching application layer includes all kinds of business application systems of school and public service platform.
Compared with prior art, the beneficial effects of the present invention are:
It is each that education services architecture system based on container cluster of the invention can be realized rapid deployment, Miao Jitingqi school
Class is served by and public service platform, supports clustered deploy(ment), load balancing, disaster recovery and the elastic telescopic of a variety of services.
Detailed description of the invention
Fig. 1 is the structure chart of the education services architecture system of the invention based on container cluster；
Fig. 2 is the schematic illustration of the working mechanism of container scheduling；
Fig. 3 is the schematic illustration of virtual DNS working mechanism；
Fig. 4 is the concrete principle schematic diagram of virtual network working mechanism.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not
Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
Its information centre's feature of present colleges, high official rank is that scale is smaller, insensitive to conventional cloud pipe platform requirement, relatively
In the IaaS cloud platform of Virtual machine, container cloud platform does not depend on lower layer's facility, application-oriented, either the letter of which kind of scale
Breath center is suitable for implementing container cloud, and can be thus to obtain the promotion of the O&M ability of technology operation.It is all to operate in container
Application in cloud can carry elastic telescopic, rolling upgrade, unsuccessfully migration, load balancing, High Availabitity etc. of application level
PaaS grades of functions.
As shown in Figure 1, present embodiments providing a kind of education services architecture system based on container cluster, feature exists
In, including sequentially connected from the bottom to top: physical resource layer, operating system layer, resource management layer and teaching application layer；Each layer it
Between carried out by distributed coordination manager Zookeeper cooperation and communication management；The teaching application layer provides server
Interface is to provide Teaching Service application for external system；The teaching application layer includes all kinds of business application systems of school and public
Service platform.
Kubernetes is integrated into resource management layer to obtain bottom physical resource, the kubernetes as frame
To manage the teaching application service in container cluster；The container cluster is for running Docker application, the teaching application clothes
Business is packaged in Docker application, and external system transfers the teaching application service in this architecture system by teaching application layer.
System is using kubernetes as engine, to realize the management to Docker cluster.System components service, and servicing
It is registered in component registration eureka.The published method of each component is can to run java software package, without pre-installing in the server
The middlewares such as tomcat.Building is realized as follows for the docker application: by writing the building of Dockerfile file
The relevant Docker mirror image of Hadoop big data cluster automatically dispose, including Server end mirror picture and Agent end mirror image；It utilizes
One Server container of the end Server image starting, using the multiple Agent ends of Agent end image starting, by the end Server to more
A Agent end is managed collectively, while starting Web application in Server container；One is established by the end Server, more
The distributed structure/architecture of Agent end and the end Web composition, the service of automation starting deployment Hadoop correlation big data cluster.
The system of the present embodiment further includes Log Administration System ELK, and the Log Administration System ELK is for realizing paralell
Construction system log collection in production environment, formatting, filtering, index, inquiry.The architecture system is in large-scale production portion
When administration, using Ansible configuration management tool, the one-touch installation and deletion of data processing platform (DPP) are realized.It further include to component
The operations such as the batch configuration of the upgrading of version and rollback and production environment modification, simplify complicated O&M configuration management work
Make.
A large amount of valuable information are contained in log, they are hidden in the data section of dispersion irregular, unstructuredly
In point, operation management personnel analyzed by log, the variation of diagnosis problem, server response efficiency and key business.This reality
It applies and provides a log centralized manager in example, be responsible for log and concentrate convergence, journal formatting filtering, index log content,
Quickly return query result, have retractility, links can dilatation, have high availability, single node fail
In the case where do not influence to use, can be inquired by graphical interfaces, and report out, support ELK tool set well, i.e.,
Elasticsearch, Logstash, Kibana complete log searching, analysis, collection, visualization tasks.
Distributed coordination manager Zookeeper in the present embodiment supports the cooperation and communication of entire platform, undertakes complete
The responsibility of office's lock, while the non-traffic metadata of platform being saved, subscriber is dynamically notified, in distributed feelings
The synchronous method between a control multitask is needed under condition.Need to meet name service, the mutual exclusion of shared resource locked out distribution formula,
Shared resource synchronization of access, configuration management, leader's selection.Kubernetes supports ZooKeeper distributed program to coordinate clothes
Business keeps the data mode consistency of the more a Master nodes of kubernetes.This mode not only supports that a part is similar big
The ability of concurrent educational applications usage scenario load can also allow other analysis systems that can benefit from kubernetes and support carefully
Granularity resource distribution, when running the business load of high dynamic, this will promote the use and performance of resource.
As shown in Fig. 2, the present embodiment uses the container Scheduling Framework layer built based on Kubernetes to monitor all appearances
The state of device cluster server plays great buffer function to the performance of cluster, effectively improves the handling capacity of entire cluster.
The container Scheduling Framework layer, which passes through, constantly compares status information in cluster and whether practical cluster environment is consistent, when finding collection
When the status information and virtual condition of group are inconsistent, carry out communicating creation container instance with the control process of container clustered node,
Keep status information again consistent with actual environment.The present embodiment further includes High Availabitity key assignments storage system ETCD, the High Availabitity
Key assignments storage system ETCD stores various cluster state informations, is in communication with each other by multiple nodes and constitutes whole externally service, each
Node stores complete data, and guarantees that the data of each node maintenance are consistent by Raft agreement.
As shown in Figure 3 and Figure 4, IP caused by virtual DNS component solution dynamic creation container is unpredictable, is responsible for monitoring
The creation situation of container in cluster, virtual DNS be responsible for ETCD storage in search host name correspond to IP distribute to container use, and
By network extension element realization container across host communication, the TCP message of container bridge is packaged in one with routing iinformation
UDP message in, message is forwarded to target physical host by routing iinformation by network extension element, on target physical host
Network process is responsible for unpacking.TCP message is forwarded on the container bridge of the machine, thus not influencing container legacy network mechanism
In the case where, realize container across host communication.
The platform architecture system, which has the further advantage that, to be managed collectively and be dispatched to big data computing resource, be
Big data application provides elastic telescopic ability, realizes the deployment of one key of cloud and dilatation of big data application；It can solve same
Shared resource distribution in cluster between different big data frames, completes across the fine-grained resource-sharing between frame；It will not
On same framework integration to unified basic framework, allows user to manage cluster resource across frame, can not only increase resource
Be for and handling capacity, improve the flexibility of platform, but also be able to achieve faster data and calculate and the effective use of resource, can
To substantially reduce the complexity of architecture and improve its reliability.
The present embodiment also has the advantage that 1, the big data application environment based on container technique building elastic telescopic.Benefit
With the high feature of the quick creation of container, resource utilization, the calculating logic of big data is loaded by it and is carried out by scheduling system
Dynamic manages, and replaces the mode in preset physical machine or virtual machine as calculate node originally, provides elasticity for big data processing
It is flexible.
2, the big data based on container applies cloud efficient deployment.The dependence of big data environment is encapsulated in inside container,
Researcher need to only submit or update the mirror image in cloud mirror image warehouse, so that it may realize the long distance high efficiency portion of big data application environment
Administration.
3, big data application and development and operational management based on container.Big data is managed to apply from exploitation to the entire of operation
Process: building source code, which will be applied, to be packaged into container mirror image, container is deployed to cloud, mirror image storehouse management, service orchestration, putting down
Platform is scheduled the functions such as management, holding load equilibrium and book to the container and cluster of operation.
The above embodiment is only the preferred embodiment of the present invention, and the scope of protection of the present invention is not limited thereto,
The variation and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed range.
Claims (10)
1. a kind of education services architecture system based on container cluster, which is characterized in that including sequentially connected from the bottom to top: object
Manage resource layer, operating system layer, resource management layer and teaching application layer；Pass through distributed coordination manager between each layer
Zookeeper come carry out cooperation and communication management；The teaching application layer provides server interface to provide religion for external system
Be served by；
Kubernetes is integrated into resource management layer to obtain bottom physical resource as frame, and the kubernetes is used to
Manage the teaching application service in container cluster；The container cluster is for running Docker application, the teaching application service
It is packaged in Docker application, external system transfers the teaching application service in this architecture system by teaching application layer.
2. a kind of education services architecture system based on container cluster as described in claim 1, which is characterized in that further include day
Will management system ELK, the Log Administration System ELK for realizing platform architecture system log collection in production environment,
It formats, filtering, index, inquiry.
3. a kind of education services architecture system based on container cluster as described in claim 1, which is characterized in that further include holding
Device transfers ccf layer, and the container Scheduling Framework layer passes through whether constantly compare status information in cluster and practical cluster environment
Unanimously, it when the status information and virtual condition that find cluster are inconsistent, is communicated with the control process of container clustered node
Container instance is created, keeps status information again consistent with actual environment.
4. a kind of education services architecture system based on container cluster as claimed in claim 3, which is characterized in that further include height
Key assignments storage system ETCD can be used, the High Availabitity key assignments storage system ETCD stores various cluster state informations, by multiple sections
Point is in communication with each other the whole externally service of composition, and each node stores complete data, and guarantees each section by Raft agreement
The data of point maintenance are consistent.
5. a kind of education services architecture system based on container cluster as claimed in claim 4, which is characterized in that the container
Transfer ccf layer to be also used to executing following steps: virtual DNS is responsible for searching host name in ETCD storage and corresponds to IP, and by IP
Container use is distributed to, and by network extension element realization container across host communication.
6. a kind of education services architecture system based on container cluster as described in claim 1, which is characterized in that the framework
System is when being mass produced deployment, using Ansible configuration management tool, realize data processing platform (DPP) one-touch installation and
It deletes.
7. a kind of education services architecture system based on container cluster as claimed in claim 6, which is characterized in that described
Ansible configuration management tool further includes the batch configuration modification of the upgrading and rollback and production environment to component version.
8. a kind of education services architecture system based on container cluster as described in claim 1, which is characterized in that described
Building is realized as follows for Docker application:
The relevant Docker mirror image of Hadoop big data cluster automatically dispose is constructed by writing Dockerfile file, including
Server end mirror picture and Agent end mirror image；Using one Server container of the end Server image starting, Agent end mirror image is utilized
Start multiple Agent ends, multiple Agent ends is managed collectively by the end Server, while starting Web in Server container
Using；Establish the distributed structure/architecture being made of the end Server, multi-Agent end and the end Web, automation starting deployment Hadoop
The service of related big data cluster.
9. a kind of education services architecture system based on container cluster as described in claim 1, which is characterized in that the distribution
Formula coordination manager Zookeeper is used to save the non-traffic metadata of platform architecture system, and dynamically notifies corresponding
Subscriber.
10. a kind of education services architecture system based on container cluster as described in claim 1, which is characterized in that the religion
Learning application layer includes all kinds of business application systems of school and public service platform.
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