CN107426034A - A kind of extensive container scheduling system and method based on cloud platform - Google Patents
A kind of extensive container scheduling system and method based on cloud platform Download PDFInfo
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- CN107426034A CN107426034A CN201710712465.3A CN201710712465A CN107426034A CN 107426034 A CN107426034 A CN 107426034A CN 201710712465 A CN201710712465 A CN 201710712465A CN 107426034 A CN107426034 A CN 107426034A
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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
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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
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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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
Abstract
The invention discloses a kind of extensive container based on cloud platform to dispatch system and method, and system includes：Control node, to receive request that client sends and be sent to cloud platform after parsing；Cloud platform, container is managed and created underlying resource used in container, the virtual resources of bottom cloud platform are provided for container.Method comprises the following steps：Obtain client sends request；Container scheduling of resource module forwards are asked；The API gateway forwarding of control node is asked and creates container cluster；The forwarding request of application cluster API gateway；Scheduler sends instruction to agency；Act on behalf of execute instruction；Container engine builds container set；Copy controller realizes elastic telescopic；Create corresponding with service and port；Dynamic adjusts during operation.The present invention not only can manage container in itself, but also can be the virtual resources that container automatically provides bottom cloud platform.
Description
Technical field
The present invention relates to a kind of extensive container based on cloud platform to dispatch system and method, belongs to power system cloud data
Processing technology field.
Background technology
The propulsion of " internet+energy " strategy at any time, electric power application are also turning to internet, and traditional application architecture can not fit
This large-scale distributed application is answered, can not also adapt to the demand of internet iteratively faster, to adapt to develop, container technique should
Transport and give birth to.The container technique Docker of main flow realizes the application container an increased income engine at present, can realize and once construct, with
When run everywhere, development environment and running environment can be got through by simple " construction, transport, operation ", realize simplify dispose,
Quickly start, be easy to migrate；This solves the problems, such as the support to distributed-type application well.
By the distributed-type of container carrying is determined using the characteristics of (or perhaps the Internet, applications), a small amount of appearance
Device does not have too big meaning, must be the value that large-scale use could embody container, and container does not provide container in itself
The administrative mechanism of cluster.On the other hand, container needs to operate in physical machine or in virtual machine, when container O＆M is in physical machine
Flexibility is limited by physical machine when middle, and virtual machine possesses very high flexibility in itself in cloud computing platform, if container
The flexibility of virtual resource can be sufficiently utilized, will greatly provide the scope of application of container.
But it currently there are no and occur possessing cluster management mechanism and fully dispatch the container technique using resource.
The content of the invention
In view of the shortcomings of the prior art, the present invention proposes a kind of extensive container scheduling system based on cloud platform and side
Method, it not only can manage container in itself, but also can be the virtual resources that container automatically provides bottom cloud platform.
The present invention solves its technical problem and adopted the technical scheme that：
A kind of extensive container scheduling system based on cloud platform provided in an embodiment of the present invention, it includes：
Control node, to receive the request that client is sent, and it is sent to after the request analysis client transmission
Cloud platform；
Cloud platform, container is managed and created underlying resource used in container, bottom is provided for container
The virtual resources of cloud platform；Underlying resource used in container includes host node and runs container from node, the host node
The service of management, it is described from the node that node is actual motion task to realize task scheduling.
As a kind of possible implementation of the present embodiment, the control node includes container scheduling of resource module, described
Container scheduling of resource module is all to abstract the concept of cloud platform, the concept of container and integrate, and with template
Form is organized, and is managed collectively so that the function of container has been integrated into the interface of cloud platform.
As a kind of possible implementation of the present embodiment, the cloud platform includes：
Application cluster API gateway, to receive the request that client is sent, and transmit the request in cloud platform cluster
Scheduler module；
Container scheduler, to configure various scheduling rules, to need the container set disposed to screen suitable node；
Copy control module, to ensure that a number of number (replica) of container set is being run；
Key value database, all it is stored in Etcd key value databases to all persistence states；
Agency, to be responsible for being maintained in run on particular host one group of container；
Service discovery module, to create corresponding with service and port for each container set or each copy controller,
Other containers or outside pass through this service access container set；
Capacitor network module, to drive different types of network；
Container storage module, to provide shared storage for container.
As a kind of possible implementation of the present embodiment, the cloud platform is the virtualized resources that container provides
Include：Virtual machine instance, shared storage, virtual network, dummy load equilibrium, IP and operating system.
A kind of extensive container dispatching method based on cloud platform provided in an embodiment of the present invention, it comprises the following steps：
Step 1, obtain client sends request：Client is by interface input parameter and changes into template, or directly
The mode of input template sends the request of application cluster；
Step 2, container scheduling of resource module forwards are asked：
Container scheduling of resource module parses template, and the resource request of cloud platform is transmitted to the API gateway of control node, will
The resource request of container is transmitted to application cluster API gateway, while the information of this container cluster can be written to control by scheduler module
In the database of node processed；
Step 3, the API gateway forwarding of control node is asked and creates container cluster：The API gateway of control node will ask
Classification, different functional modules is transmitted to, the functional module of platform cooperates the parameter inputted according to client, creates
The host node of container cluster and from node and for container create virtual resources；
Step 4, application cluster API gateway forwarding request：After application cluster API gateway receives the request of forwarding, wait
The request that client is sent is parsed after the resource of cloud platform is ready, and is separately sent to scheduler and copy control
Device, while the parameter in request is stored in Etcd databases for the mode of " key-value "；
Step 5, scheduler sends instruction to agency：Scheduler receives the parameter on scheduling strategy in request, and is holding
The filter node from node of device cluster, and send instruction to the agency where the person of choosing；
Step 6, execute instruction is acted on behalf of：When receiving the instruction of scheduler dispatches from the agency of node, actively to Etcd keys
Watch is configured in Value Data storehouse, and request is handed down into container engine and service discovery module as instruction with config set；
Step 7, container engine structure container set：Container engine can create container and container set, docking according to instruction
Network and storage；
Step 8, copy controller realizes elastic telescopic：The number of copies of copy controller monitoring container set, when existing
When number of copies is less than definition, actively triggers scheduler and re-create a container set, when existing number of copies is higher than definition,
Also can active kill unnecessary copy；
Step 9, corresponding with service and port are created：Service discovery module is each container set or each copy controller
Corresponding with service and port are created, other containers or outside pass through this container set of this service access.
Step 10, dynamic adjusts during operation：When container, container set structure completion, pass through copy controller and control elasticity
It is flexible, and by service discovery module creation corresponding with service and port after, when system enters operation.
As a kind of possible implementation of the present embodiment, the virtual resources created for container include：Virtual machine instance,
Shared storage, virtual network, dummy load equilibrium, IP and operating system.
As a kind of possible implementation of the present embodiment, service discovery module is each container set or each copy
Controller create corresponding with service detailed process be：Container set, copy controller and the service of operation identical services are labeled with
Identical label, this configuration is stored in Etcd key value databases, when new copy creating, new copy be registered in
In dns server, and load balancing is informed, new access can be distributed on new copy.
As a kind of possible implementation of the present embodiment, the dynamic adjustment includes following two level dynamics and adjusted：
When the scale (i.e. virtual machine number) of adjustment container cluster, first, scale (i.e. of container set of adjustment application cluster
Number), realize the dynamic adjustment to container.
The technical scheme of the embodiment of the present invention can have the advantage that as follows：
For the technical background of container, embodiments of the invention technical scheme provides a kind of based on the extensive of cloud platform
It container scheduling scheme, not only can manage container in itself, can also be the virtual resources that container automatically provides bottom cloud platform.
Embodiments of the invention technical scheme includes two broad aspects, first, a kind of management of design and scheduling mechanism, this mechanism will be according to
The theory of the Internet, applications loose coupling designs, it is ensured that concurrency and performance under large-scale application scene, ensures again
The automation of management and convenience；Second, realize a kind of method in accordance with designed mechanism, by this method can with it is existing
Cloud platform in environment combines, and realizes application cluster, the two-level scheduler of container cluster.
Compared with prior art, the technical scheme provided by this disclosed embodiment has the characteristics that：
(1) container set flexibly defined is obtained
It is a container set to allow the flexible self-defined several containers of research staff, and the attribute of definable includes number
Amount, second, the application that container is run, third, the service call between each container, the minimum unit of application schedules is sets of containers
Close, rather than single container, it is easy to the iteratively faster for managing and applying.
(2) realize that the container across host communicates
Having broken can only be in the limitation in same host between container, there is provided an expansible mixed-media network modules mixed-media, can
To dock the network technology of cloud platform, it can be communicated in same container set by internal mechanism, between different hosts machine
It can be communicated between container by flexible mode and not lose the function of container.
(3) realize that the storage across host is shared
Having broken can only be in the limitation in same host between container, there is provided an expansible memory module, can
To dock the memory technology of cloud platform, identical data storage is shared in the resource pool of cloud platform.
(4) solves the service discovery of application cluster
The elastic telescopic of application cluster is realized, when new container set is created, can dynamically be registered in load
On balanced device, new access request can be distributed on new container.
(5) convenient Redundancy Management solves the problems, such as High Availabitity
The minimum unit of Container Management is container set, using can adjust container set by this Redundancy Management
Number of copies, so as to realize convenient more replica managements, the functions such as a key is flexible.
(6) virtual resource of cloud platform is dispatched
By a scheduler module, Container Management platform can be combined with cloud platform, Container Management platform directly invokes
The resources such as virtual machine, cloud storage, cloud network, dummy load equilibrium in cloud platform, greatly expand the flexibility ratio of container.
Brief description of the drawings
Fig. 1 is a kind of frame of extensive container scheduling system based on cloud platform according to an exemplary embodiment
Figure；
Fig. 2 is a kind of flow of extensive container dispatching method based on cloud platform according to an exemplary embodiment
Figure.
Embodiment
For the technical characterstic for illustrating this programme can be understood, below by embodiment, and its accompanying drawing is combined, to this hair
It is bright to be described in detail.Following disclosure provides many different embodiments or example is used for realizing the different knots of the present invention
Structure.In order to simplify disclosure of the invention, hereinafter the part and setting of specific examples are described.In addition, the present invention can be with
Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated
Relation between various embodiments are discussed and/or set.It should be noted that part illustrated in the accompanying drawings is not necessarily to scale
Draw.Present invention omits the description to known assemblies and treatment technology and process to avoid being unnecessarily limiting the present invention.
Scheduling is using resource due to no cluster management mechanism and fully for existing container technique, and there are the following problems：
(1) single container scheduling is complicated, can not form effective cluster
Container is all independent unit, and for a relative application, only several components are interrelated could to realize one
Individual function, scheduling mechanism, which only dispatches a container, can cause its component missing relied on not run, and if compulsory regulation
The container of fixed number can lose flexibility again as an entirety.
(2) telecommunication management is lacked between container
Single container can be by sharing host network come communication with the outside world, can equally be used with other virtualizations
Bridge joint, NAT (Network Address Translation, network address translation), main frame exclusively enjoy isotype, when each place
There is during hundreds and thousands of individual containers existing mechanism not realize on main frame to communicate with the container on different hosts machine, can not enterprise
Level uses.
(3) container can not share storage
Container possesses very high flexibility, can at any time be created as virtual machine, destroy or moved between host
Move, can realize that storage is shared by the file system of carry host in container set, container can not be solved across place in itself
Storage between main frame is shared, for example when in host A failures, container is migrated on host B, but its data is on B
Do not preserve, can not just run；
(4) can not elastic telescopic
Single container directly can externally provide service, when application load rises, to create multiple function identicals and hold
Device, this group of identical container can use load balancing to realize and externally provide service by a unified entrance, but work as container
During establishment, destruction in operation, existing load balancing can not monitor that the change in backend resources pond realizes that dynamic is adjusted
It is whole, cause access request can not be assigned in the container newly created.
(5) there is no High Availabitity administrative mechanism
The normal operation of whole cluster is not influenceed when a physical machine or virtual-machine fail, container does not carry in itself
For corresponding method, the redundancy for safeguarding container that can only be manual, this efficiency in enterprise-level application is low-down.
(6) container can not dispatch the resource of cloud platform
The environment of host is fixed, and when the resource of host turns into bottleneck, container can not solve, and this is interconnection
Net applies a recurrent scene, such as the electricity charge of the promotion day, the end of month in state's net store to pay day etc., Internet user's
Experience will big heavy discount.
Container is the virtualization technology of a lightweight, it is necessary to a cluster management instrument, while container will also have carrying
Underlying resource, for the technical background of container, the invention provides a kind of extensive container dispatching method based on cloud platform,
It realizes the large-scale application of container by the management to container management in itself and the resource relied on container
Layout management and underlying resource depth combine.
Fig. 1 is a kind of frame of extensive container scheduling system based on cloud platform according to an exemplary embodiment
Figure.As shown in figure 1, the extensive container scheduling system based on cloud platform can include：
Control node, to receive the request that client is sent, and it is sent to after the request analysis client transmission
Cloud platform；
Cloud platform, container is managed and created underlying resource used in container, bottom is provided for container
The virtual resources of cloud platform；Underlying resource used in container includes host node and runs container from node, the host node
The service of management, it is described from the node that node is actual motion task to realize task scheduling.
In a kind of possible implementation, the control node includes container scheduling of resource module, the container resource
Scheduler module is all to abstract the concept of cloud platform, the concept of container and integrate, and the tissue in the form of template
Get up, be managed collectively so that the function of container has been integrated into the interface of cloud platform.
In a kind of possible implementation, the cloud platform includes：
Application cluster API gateway, to receive the request that client is sent, and transmit the request in cloud platform cluster
Scheduler module；
Container scheduler, to configure various scheduling rules, to need the container set disposed to screen suitable node；
Copy control module, to ensure that a number of number (replica) of container set is being run；
Key value database, all it is stored in Etcd key value databases to all persistence states；
Agency, to be responsible for being maintained in run on particular host one group of container；
Service discovery module, to create corresponding with service and port for each container set or each copy controller,
Other containers or outside pass through this service access container set；
Capacitor network module, to drive different types of network；
Container storage module, to provide shared storage for container.
In a kind of possible implementation, the cloud platform is that the virtual resources that container provides include：Virtual machine
Example, shared storage, virtual network, dummy load equilibrium, IP and operating system.
A kind of even scheduling mechanism of pine of the Technical Design of the embodiment of the present invention, the calling between modules is different
The mode of step, performance when can so ensure big concurrent.In order to simplify the management of extensive container deployment, in scheduling mechanism
Introduce the concept of following redesign：
(1) container set：The set of several interrelated common containers for completing One function or service.
(2) service：Container set externally provides the interface exposed during service.
(3) application cluster：The cluster being made up of container, it is the concept for application.
(4) container cluster：The cluster being made up of host, this is for the general of the relied on BOTTOM LAYER ENVIRONMENT of container operation
Read.
(5) template：It is that various resources are write a file in a manner of layout, this combination requirement has fixed lattice
Formula, specification, semanteme, and realize by an orchestration engine deployment of resource.
Is described in detail to the framework of the system below
The technical scheme of the embodiment of the present invention is to operate in container in virtualized environment.Two layers can be wherein divided into
Face, bottom are cloud platform aspects, and various resources can be provided for container, and upper strata is container aspect, are an application oriented pipes
Reason and dispatch layer.
The physical server of wherein cloud platform is divided into two kinds of roles, and one kind is control node, and one kind is that cloud platform (calculates
Node), control node operation is the crucial service of cloud platform, and calculate node has then run the virtual machine of cloud platform.
Added in control node exclusively for " the container scheduling of resource module " designed by Container Management, client can be received
The request sent is held, the interface for thus function of container being also integrated into cloud platform is managed collectively.This module puts down cloud
The concept of platform, the concept of container are all abstracted and integrated, and organized in the form of template, and client transmission is come
Template parsing after be delivered separately to API (Application Programming Interface, the application program of cloud platform
DLL) gateway and application cluster API gateway.
The mechanism of cloud platform rear end can automatically create underlying resource used in container, and for the management of container,
There is host node with running the service of Container Management from node, host node, realizing task scheduling, and be then that actual motion is appointed from node
The node of business.
Several main modulars of cloud platform are：
(1) application cluster API gateway
It is responsible for receiving the request that client is sent, actually one externally provides the HTTP/HTTPS servers serviced, only
Simple route is done, the scheduler module transmitted the request in host node cluster.Data are ultimately stored on distributed consistent
In etcd (the key/value storage services under a kind of distributed environment) storages, API gateway is stateless in itself, there is provided
Authentication, caching, the api versions of these data accesses are adapted to a series of functions such as conversion.
(2) container scheduler
Various scheduling rules can be configured, to realize container from the distribution according to need on node, normal conditions dispatching device
Suitable node is screened for container set by algorithm, then the relation of binding node and container set, the generation in respective nodes
Reason reads binding information just can pull-up container set.The responsibility of scheduler is very clear and definite in this process, exactly to need portion
The container set of administration screens suitable node, and scheduler is the form of plug-in unit, so user can be with self-defined scheduling strategy.
(3) copy control module
Copy controller ensures that a number of number (replica) of container set is being run.If it exceeds this number
Amount, controller can kill, if few, controller can start.Controller also can node failure, safeguard when
To ensure this quantity.So suggesting that even if our number is 1 strongly, copy controller is also used, rather than directly create
Build container set.
(4) key value database
Using Etcd key value databases, all persistence states are all stored in etcd.Etcd supports watch simultaneously
(sense command), such component are readily available the change of system mode, so as to quick response and co-ordination.
(5) act on behalf of
The binary program that is acted on behalf of from node is operated in be responsible for being maintained in the one group of container run on particular host.It
The synchronous container configuration list from configuration file or from etcd servers.Container configuration list is one container set of description
File, agency is using one group of inventory provided using various mechanism and ensures that the container of these inventories description is activated and continues to transport
OK, the information such as container set and their container, mirror image and volume is managed.
(6) service discovery module
Each agent node has run an agent process.This process takes service and port from service processes over there
The change of object.It is serviced to each and is locally opening a port.To this port any connection can all act on behalf of after
Hold a container set IP in container set and port.After service is created, serve port model can embody rear end container
The IP and port list of set, agency are exactly that serving backend is selected from the list of this port maintenance.
(7) capacitor network module
Different Networking Solutions ＆ provisioneds can be supported, different types of network is driven in a manner of driver (driving), than
Such as the network directly provided using cloud platform, IP is distributed in units of container set, rather than in units of container, a container
Container in set can by sharing same Linux Namespace (NameSpace), including IP address, the network equipment,
Port etc..All containers in cluster directly can be communicated with other containers, not pass through NAT；Any node nodes can be with
Communicated with any vessel, do not pass through NAT；The IP address of any vessel, see that its IP address is consistent with the external world.Network mould
Block is card format, can support kinds of schemes, such as an a kind of flannel (nerve of a covering for Kubernetes designs
Network Overlay Network instruments), calico (for container virtual network, a kind of new implementation method of network security),
Contiv (a kind of universal network plug-in, being Cisco open source projects) etc..
(8) container storage module
Different storage solutions can be supported, different types of network is driven in a manner of dr iver, such as directly
The storage provided using cloud platform.Memory module can provide two kinds of storages：Volume (common volume) and Persistent
Volume (permanent volume).Volume is identical with the life cycle of container set, and when container set is destroyed, Volume also sells therewith
Ruin；Independently of the life cycle of container set persistence can be achieved, multiple containers set is shared to deposit in Persistent Volume
Storage is needed by Persistent Volume.Volume and Persistent Volume are card formats, can be supported very
A variety of storages, for example (RBD is connecing for Ceph block-orienteds storage by Cinder (openstack realizes the component of block storage), RBD
Mouthful), GlusterFS (distributed file system increased income), FC (FiberChannel, optical-fibre channel), NFS (Network
File System, i.e. NFS) etc..
Embodiments of the invention technical scheme not only can manage container in itself, can also be that container automatically provides bottom cloud
The virtual resources of platform.It mainly includes two broad aspects, first, a kind of management of design and scheduling mechanism, this mechanism will be according to
The theory of the Internet, applications loose coupling designs, it is ensured that concurrency and performance under large-scale application scene, ensures again
The automation of management and convenience；Second, realize a kind of method in accordance with designed mechanism, by this method can with it is existing
Cloud platform in environment combines, and realizes application cluster, the two-level scheduler of container cluster.
Fig. 2 is a kind of flow of extensive container dispatching method based on cloud platform according to an exemplary embodiment
Figure.As shown in Fig. 2 the extensive container dispatching method based on cloud platform may comprise steps of：
Step 1, obtain client sends request：Client is by interface input parameter and changes into template, or directly
The mode of input template sends the request of application cluster；
Step 2, container scheduling of resource module forwards are asked：
Container scheduling of resource module parses template, and the resource request of cloud platform is transmitted to the API gateway of control node, will
The resource request of container is transmitted to application cluster API gateway, while the information of this container cluster can be written to control by scheduler module
In the database of node processed；
Step 3, the API gateway forwarding of control node is asked and creates container cluster：The API gateway of control node will ask
Classification, different functional modules is transmitted to, the functional module of platform cooperates the parameter inputted according to client, creates
The host node of container cluster and from node and for container create virtual resources；
Step 4, application cluster API gateway forwarding request：After application cluster API gateway receives the request of forwarding, wait
The request that client is sent is parsed after the resource of cloud platform is ready, and is separately sent to scheduler and copy control
Device, while the parameter in request is stored in Etcd databases for the mode of " key-value "；
Step 5, scheduler sends instruction to agency：Scheduler receives the parameter on scheduling strategy in request, and is holding
The filter node from node of device cluster, and send instruction to the agency where the person of choosing；
Step 6, execute instruction is acted on behalf of：When receiving the instruction of scheduler dispatches from the agency of node, actively to Etcd keys
Watch is configured in Value Data storehouse, and request is handed down into container engine and service discovery module as instruction with config set；
Step 7, container engine structure container set：Container engine can create container and container set, docking according to instruction
Network and storage；
Step 8, copy controller realizes elastic telescopic：The number of copies of copy controller monitoring container set, when existing
When number of copies is less than definition, actively triggers scheduler and re-create a container set, when existing number of copies is higher than definition,
Also can active kill unnecessary copy；
Step 9, corresponding with service and port are created：Service discovery module is each container set or each copy controller
Corresponding with service and port are created, other containers or outside pass through this container set of this service access.
Step 10, dynamic adjusts during operation：When container, container set structure completion, pass through copy controller and control elasticity
It is flexible, and by service discovery module creation corresponding with service and port after, when system enters operation.
In a kind of possible implementation, the virtual resources created for container include：Virtual machine instance, share and deposit
Storage, virtual network, dummy load equilibrium, IP and operating system.
In a kind of possible implementation, service discovery module is that each container set or each copy controller are created
The detailed process for building corresponding with service is：Container set, copy controller and the service of operation identical services are labeled with identical mark
Label, this configuration is stored in Etcd key value databases, when new copy creating, new copy is registered in into DNS service
In device, and load balancing is informed, new access can be distributed on new copy.
In a kind of possible implementation, the dynamic adjustment includes following two level dynamics and adjusted：First, adjustment
The scale (i.e. virtual machine number) of container cluster, first, the scale (i.e. the number of container set) of adjustment application cluster, realization pair
The dynamic adjustment of container.
Pipe is carried out to container cluster using a kind of extensive container dispatching method based on cloud platform shown in the present embodiment
The idiographic flow of reason is as follows.
(1) client sends request
Client sends the request of application cluster, can be by interface input parameter, or directly input template, this
Include the resource definition to bottom cloud platform in template, also include the definition to the resource of application cluster.
(2) container scheduling of resource module forwards are asked
Container scheduling of resource module parses template, and the resource request of cloud platform is transmitted to the API gateway of cloud platform, will be held
The resource request of device is transmitted to application cluster API gateway, while the information of this container cluster can be written to cloud and put down by scheduler module
In the database of platform.
(3) forwarding of cloud platform API gateway is asked and creates container cluster
Requests classification is transmitted to different functional modules, the functional module of cloud platform is mutually assisted by the API gateway of cloud platform
Make the parameter inputted according to client, the master node, slave node for creating container cluster also has other resources, and cloud platform can at present
To be supplied to the resource of container to include：Virtual machine instance, shared storage, virtual network, dummy load equilibrium, IP and operation system
System.
(4) application cluster API gateway forwarding request
After application cluster API gateway receives the request of forwarding, the resource of cloud platform can be waited ready, work as cloud platform
After notifying that resource is ready, by request analysis, scheduler and copy controller are separately sent to, while be by the parameter in request
The mode of " key-value " is stored in Etcd databases.
(5) scheduler sends instruction to agency
Scheduler receives the parameter on scheduling strategy in request, and in the filter node from node of container cluster, and
Instruction is sent to the agency where the person of choosing.
(6) execute instruction is acted on behalf of
When receiving the instruction of scheduler dispatches from the agency of node, Watch in Etcd key value databases is arrived in meeting active
Configuration, and request is handed down to container engine and service discovery module with config set as instruction.
(7) container engine structure container set
Container engine can create container according to instruction, create container set, docking network, storage etc..And start copy control
Device processed.
(8) copy controller realizes elastic telescopic
Copy controller is a virtualization services, and this entity, actually a process is not present, this service
The number of copies of meeting monitoring of containers set, when existing number of copies is less than definition, actively triggers scheduler and re-create an appearance
Device set, when existing number of copies is higher than definition, also can active kill unnecessary copy, so keeper can be manually
This definition is adjusted to realize elastic telescopic.
(9) corresponding with service and port are created
Service discovery module is each container set or each copy controller creates corresponding with service and port, other
Container or outside can be by this container sets of this service access, and this module is actually a load equalizer,
Such as can also cooperation haproxy (a kind of software realize load balancing), hardware load equilibrium etc. realize.The automatic hair of service
Be now by DNS coordinate label realize, run the container set, copy controller, service of identical services can be labeled with it is identical
Label, this configuration is stored in Etcd, when new copy creating, automatically can register in the dns server, and accuse
Know load balancing, new access can be distributed on new copy.
(10) dynamic adjusts when running
When container, container set structure completion, elastic telescopic is controlled by copy controller, and pass through service discovery module
After creating corresponding with service and port, when system enters operation.In this case, can be adjusted by two level dynamics, when
The scale (i.e. virtual machine number) of container cluster is adjusted, first, the scale (i.e. the number of container set) of adjustment application cluster, real
Now the dynamic of container is adjusted.
Compared with prior art, the technical scheme provided by this disclosed embodiment has the characteristics that：
(1) container set flexibly defined is obtained
It is a container set to allow the flexible self-defined several containers of research staff, and the attribute of definable includes number
Amount, second, the application that container is run, third, the service call between each container, the minimum unit of application schedules is sets of containers
Close, rather than single container, it is easy to the iteratively faster for managing and applying.
(2) realize that the container across host communicates
Having broken can only be in the limitation in same host between container, there is provided an expansible mixed-media network modules mixed-media, can
To dock the network technology of cloud platform, it can be communicated in same container set by internal mechanism, between different hosts machine
It can be communicated between container by flexible mode and not lose the function of container.
(3) realize that the storage across host is shared
Having broken can only be in the limitation in same host between container, there is provided an expansible memory module, can
To dock the memory technology of cloud platform, identical data storage is shared in the resource pool of cloud platform.
(4) solves the service discovery of application cluster
The elastic telescopic of application cluster is realized, when new container set is created, can dynamically be registered in load
On balanced device, new access request can be distributed on new container.
(5) convenient Redundancy Management solves the problems, such as High Availabitity
The minimum unit of Container Management is container set, using can adjust container set by this Redundancy Management
Number of copies, so as to realize convenient more replica managements, the functions such as a key is flexible.
(6) virtual resource of cloud platform is dispatched
By a scheduler module, Container Management platform can be combined with cloud platform, Container Management platform directly invokes
The resources such as virtual machine, cloud storage, cloud network, dummy load equilibrium in cloud platform, greatly expand the flexibility ratio of container.
Simply the preferred embodiment of the present invention described above, for those skilled in the art,
Without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications are also regarded as this hair
Bright protection domain.
Claims (8)
1. a kind of extensive container scheduling system based on cloud platform, it is characterized in that, including：
Control node, to receive the request that client is sent, and put down cloud is sent to after the request analysis that client transmission comes
Platform；
Cloud platform, container is managed and created underlying resource used in container, provide bottom cloud for container and put down
The virtual resources of platform；Underlying resource used in container includes host node and runs Container Management from node, the host node
Service, it is described from the node that node is actual motion task to realize task scheduling.
2. a kind of extensive container scheduling system based on cloud platform as claimed in claim 1, it is characterized in that, the control section
Point includes container scheduling of resource module, and the container scheduling of resource module is all taking out the concept of cloud platform, the concept of container
As out integrating, and organized in the form of template, so that the function of container has been integrated into the interface of cloud platform
Unified management.
3. a kind of extensive container scheduling system based on cloud platform as claimed in claim 1, it is characterized in that, the cloud platform
Including：
Application cluster API gateway, to receive the request that client is sent, and the scheduling transmitted the request in cloud platform cluster
Module；
Container scheduler, to configure various scheduling rules, to need the container set disposed to screen suitable node；
Copy control module, to ensure that a number of number of container set is being run；
Key value database, all it is stored in Etcd key value databases to all persistence states；
Agency, to be responsible for being maintained in run on particular host one group of container；
Service discovery module, to create corresponding with service and port for each container set or each copy controller, other
Container or outside pass through this service access container set；
Capacitor network module, to drive different types of network；
Container storage module, to provide shared storage for container.
4. a kind of extensive container scheduling system based on cloud platform as described in claims 1 to 3 any one, its feature
It is that the cloud platform is that the virtual resources that container provides include：Virtual machine instance, shared storage, virtual network, virtual negative
Carry balanced, IP and operating system.
5. a kind of extensive container dispatching method based on cloud platform, it is characterized in that, comprise the following steps：
Step 1, obtain client sends request：Client is by interface input parameter and changes into template, or directly inputs
The mode of template sends the request of application cluster；
Step 2, container scheduling of resource module forwards are asked：Container scheduling of resource module parses template, please by the resource of cloud platform
The API gateway for being transmitted to control node is sought, the resource request of container is transmitted to application cluster API gateway, while scheduler module
The information of this container cluster can be written in the database of control node；
Step 3, the API gateway forwarding of control node is asked and creates container cluster：The API gateway of control node will ask to divide
Class, different functional modules is transmitted to, the functional module of platform cooperates the parameter inputted according to client, creates and holds
The host node of device cluster and from node and for container create virtual resources；
Step 4, application cluster API gateway forwarding request：After application cluster API gateway receives the request of forwarding, cloud is waited to put down
The request that client is sent is parsed after the resource of platform is ready, and is separately sent to scheduler and copy controller,
The parameter in request is stored in Etcd databases for the mode of " key-value " simultaneously；
Step 5, scheduler sends instruction to agency：Scheduler receives the parameter on scheduling strategy in request, and in sets of containers
The filter node from node of group, and send instruction to the agency where the person of choosing；
Step 6, execute instruction is acted on behalf of：When receiving the instruction of scheduler dispatches from the agency of node, actively to Etcd key assignments numbers
Configured according to Watch in storehouse, request is handed down to container engine and service discovery module with config set as instruction；
Step 7, container engine structure container set：Container engine can create container and container set according to instruction, dock network
And storage；
Step 8, copy controller realizes elastic telescopic：The number of copies of copy controller monitoring container set, when existing copy
When number is less than definition, actively triggers scheduler and re-create a container set, when existing number of copies is higher than definition, also can
Active kills unnecessary copy；
Step 9, corresponding with service and port are created：Service discovery module is that each container set or each copy controller create
Corresponding with service and port, other containers or outside pass through this container set of this service access；
Step 10, dynamic adjusts during operation：When container, container set structure completion, elastic telescopic is controlled by copy controller,
And by service discovery module creation corresponding with service and port after, system enter operation when.
6. a kind of extensive container dispatching method based on cloud platform as claimed in claim 5, it is characterized in that, created for container
Virtual resources include：Virtual machine instance, shared storage, virtual network, dummy load equilibrium, IP and operating system.
7. a kind of extensive container dispatching method based on cloud platform as claimed in claim 5, it is characterized in that, service discovery mould
Block is that the detailed process that each container set or each copy controller create corresponding with service is：Run the container of identical services
Set, copy controller and service are labeled with identical label, this configuration are stored in Etcd key value databases, when new
During copy creating, by new copy registration in the dns server, and load balancing is informed, new access can be distributed to newly
Copy on.
8. a kind of extensive container dispatching method based on cloud platform as claimed in claim 5, it is characterized in that, the dynamic is adjusted
It is whole to be adjusted including following two levels dynamic：When the scale of adjustment container cluster, first, the scale of adjustment application cluster.
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