CN106897947A - A kind of multi-tenant service quick deployment method based on cloud platform - Google Patents
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Abstract
Multi-tenant the invention belongs to be based on cloud platform services quick deployment method, including builds using automatically dispose platform；Build the PaaS platform on basis；Build application and development middleware platform；Realize that stateless multi-tenant is served by design based on middleware platform；Multi-tenant application is automatic, quick deployment method.The present invention is on the basis of the deployment of existing PAAS platform applications, for the primary multi-tenant application deployment scenario of cloud, assessed by the disposal ability to application middleware platform, calculate the service capacity of whole system, the modules service level of adjustment multi-tenant service, realizes dynamic, the rapid deployment of multi-tenant application.
Description
Technical field
The invention belongs to field of cloud computer technology, deployment, management and the dynamic for further relating to cloud native applications expand
Hold, specifically a kind of multi-tenant service quick deployment method based on cloud platform.
Background technology
Multi-tenant application refers to that multiple tenants share an example, and the existing isolation of data of tenant has shared again, so as to solve
The certainly problem of data storage.In cloud computing platform, realize that multi-tenant service arrangement main purpose is to realize application example and answer
With two isolation of aspect of data.Existing multi-tenant service arrangement method, can be divided into three big according to the degree of isolation of application
Class：Completely isolated, part isolates, all shares.Completely isolated realization approach is substantially, using and data all physically every
From briefly exactly one tenant disposes a set of independent utility completely.Part isolates, different application may in data plane or
In person's application example aspect, sharing application data or application example.It is all shared, multi-tenant is achieved that from application
Using application example and data storage are all unrelated with tenant.
A kind of method and apparatus for supporting SaaS applications generation and deployment such as Li Qingzhong, Wang Xinjun, Zhang Shidong（The patent No.：
CN201110059503.2, Authorization Notice No.：CN102135883B）In propose it is a kind of support SaaS application generation with deployment
Method.In the method, exploitation, the platform access to SaaS applications, the final deployment using prototype generation, application integration and application
Give the application specification and implementation method of correlation.It is more to focus on providing a kind of exploitation, the portion of SaaS applications in the method
Administration's platform, is a kind of implementation method of open platform, can accomplish the completely isolated deployment and application of multi-tenant service.But should
The multi-tenant implementation of application is not given in platform scheme, the rapid deployment of multi-tenant service is not also supported directly.
Wuhan steel（Group）Patented technology " multi-tenant architecture design method " patent No. that company possesses：
CN201210394942.3, Authorization Notice No.：CN102937901B）In propose a kind of multi-tenant application architecture method for designing.
It is characterised in that it includes：Build the institutional framework and role system model of enterprise；Parse institutional framework and the role of the enterprise
System model, obtains the relevant information of user in software from relational database management system；User in analysis legacy software
Usage log, the conventional functional module of digging user；Using two methods of Partition of role and functional clustering, the service of general character is obtained
Function；The basic service that tissue tenant can be provided, personalized service is configured to by the basic service；SaaS to tenant should
Isolated with data, access safety is ensured by the way of based role authority.In the method by general character service and
The polymerization of personalized service, and role-security controls to realize the extraction of multi-tenant application architecture common requirement, is a kind of common
The multi-tenant service arrangement and application scheme enjoyed.
Tide（Beijing）Patent " a kind of side of multi-tenant shared data bank that electronics and information industry Co., Ltd applies at it
Method and multi-tenant database are service system "（Number of patent application：CN201310544688.5, publication number：CN103544319A）
In disclose a kind of multi-tenant database i.e. service system, the system includes：Application layer module, the finger for receiving client
Order, the logical data base information of tenant is set up and safeguards in application layer, and sending first to data management layer module instructs；Data pipe
Reason layer module, for the thing of the logical data base information according to the described first instruction foundation and maintenance application layer to infrastructure layer
The mapping of database instance information is managed, sending second to infrastructure layer module instructs；Infrastructure layer module, for according to institute
The physical database instance of the instruction based on virtual machine creating infrastructure layer of the second instruction is stated, or according to the described second instruction
Instruction data manipulation is carried out to the physical database instance.Cloud Database vendors method is given in the method, is realized
The data sharing of multi-tenant application, it is adaptable to the multi-tenant service of data sharing.
The content of the invention
The present invention is the existing problem of solution, it is proposed that a kind of multi-tenant service quick deployment method based on cloud platform.
The technical solution adopted by the present invention comprises the following steps：
Step one, builds and applies automatically dispose platform；The PaaS platform on basis is built, to provide application schedules, management and portion
The primary demand of administration, while using the application deployment techniques of lightweight, the basic running environment system that multi-tenant application is relied on
One packaging, can be on any platform for supporting virtualization, rapid deployment and operation；
Step 2, builds application and development middleware platform, application and development middleware platform, there is provided distributed, multi-tenant application
The RPC systems of data sharing platform, state storage platform and Distributed Application；
Step 3, realizes that stateless multi-tenant is served by design based on middleware platform；
Step 4, multi-tenant application is automatic, quick deployment method.
Wherein described step one includes：
（1a）Resource management and scheduling platform is built, to realize two-stage resource scheduling management, physical machine hardware resource can be believed
Breath is monitored, and distributes physical resource according to corresponding Scheduling Framework；
（1b）Automatically dispose platform is built, for scheduling of resource platform, corresponding application deployment mode is built；
（1c）Application deployment mirror image is made, rapid deployment and the scheduling of multi-tenant service is realized；
（1d）Customization multi-tenant automatization of service deployment strategy, multi-tenant service is realized according to application-specific scene and dilatation strategy
Deployment.
Wherein described step 2 includes：
（2a）Data sharing storage platform is built, multi-tenant service infrastructure data isolation and shared, basic data storage is realized
Isolated by tenant ID；
（2b）Multi-tenant service is built, status data storage platform realizes that status data is separated；
（2c）RPC systems are built, all service requests of system access are detected and forwarded, be multi-tenant application dynamic state part
Administration provides foundation.
Wherein described step 3 includes：
（3a）Stateful service in application modules carries out stateless transformation, by status data storage in caching server,
Dynamic load corresponding status data information during using operation；
（3b）Multi-tenant service is accessed into middleware platform, crucial RPC service is monitored in service module, obtain current
Service processing ability；
（3c）Build the virtual image of modules in multi-tenant service.
Wherein described step 4 includes：
（4a）According to specified application deployment mode, different types of multi-tenant service is disposed；
（4b）For crucial service module during deployment, its corresponding capacity planning and corresponding capacity enlargement strategy are specified；
（4c）When increasing new tenant and applying, current service level situation is judged, when service level is less than the threshold value specified, move
State dilatation increases new service processes.The capacity of the newly-increased service processes of secondary dilatation, is expanded and is managed according to different scales
Reason.The scale of application process can be estimated by the method for pressure test, for specified CPU, internal memory situation during assessment
Tested.
Further, also include after the completion of：
（4d）Continue monitoring service disposal ability, in the service processing in observation average time, judge the service level after dilatation,
If service level is lifted and less than the threshold value specified, if it is performs step（4g）, otherwise, perform step（4d）；
（4g）Access service request in front end is fed back, the number of requests of system access is adjusted, the service that front end is accessed is entered
Row flow is controlled, and keeps away face background service pressure.
The present invention compared to the prior art, present invention could apply to cloud computing PAAS platforms and SAAS service constructions
Etc. concrete application scene；The present invention is decoupled for the separate design for calculating and storing in multi-tenant service by middleware platform
Multi-tenant Service Design so that multi-tenant service arrangement, it is only necessary to which service deployment need can just be met by simple service dilatation
Ask；Business data processing in the present invention to multi-tenant directly preserves the state of Business Processing using shared storage so that many
Tenant's service is kept apart well from calculating and scheduling aspect, and automatically dispose platform can quickly realize the spirit of extensive service
Extension living；Multi-tenant is serviced in the present invention, is built into the virtual image that can directly run, can be many with rapid deployment, startup
Tenant services.
The present invention existing PAAS platform applications deployment on the basis of, for the primary multi-tenant application deployment scenario of cloud,
Assessed by the disposal ability to application middleware platform, calculate the service capacity of whole system, it is each that adjustment multi-tenant is serviced
Individual module service level, so as to realize dynamic, the rapid deployment of multi-tenant application.
Brief description of the drawings
Fig. 1 is the frame diagram of resource management and scheduling platform；
Fig. 2 is the flow chart of specific tasks management and running；
Fig. 3 is the flow chart of automatically dispose platform operation；
Fig. 4 is the flow chart for making application deployment mirror image；
Fig. 5 is the structure chart of middleware platform；
Fig. 6 is to realize that stateless multi-tenant is served by the structure chart of design；
Fig. 7 is for multi-tenant application is automatic, the flow chart of quick deployment method.
Specific embodiment
The present invention is further described in conjunction with accompanying drawing.
The present invention proposes a kind of multi-tenant service quick deployment method based on cloud platform, and gives a kind of multi-tenant
Application architecture, dispositions method so that it is simpler and efficient that the exploitation of multi-tenant application becomes, and multi-tenant application is disposed
Organically combined with power system capacity assessment, when there are more tenant's demands for services, it is only necessary to by simple system
Dilatation can be achieved with more massive tenant's service.
The present embodiment to implement step as follows：
Step one, builds and applies automatically dispose platform：
The PaaS platform on basis is built, to provide the primary demand of application schedules, management and deployment, while answering using lightweight
With deployment techniques, the basic running environment unitizing that multi-tenant application is relied on can be in the flat of any support virtualization
On platform, rapid deployment and operation；
（1a）Resource management and scheduling platform realizes two-stage resource scheduling management, and physical machine hardware asset information can be supervised
Control, and distribute physical resource according to corresponding Scheduling Framework；The resource isolation of resource management and scheduling platform bottom is logical
The isolation mech isolation test for crossing operating system is realized.Due to different operating system, there is provided different isolation mech isolation tests, so, isolation module
It is pluggable.Referring to Fig. 1, three are respectively provided with some framework actuators from node, and from node 1, from node 2, from
Node 3 distinguishes the host node of connection resource manager；Host node is also connected with server scheduler.Be furthermore provided with two it is standby
Host node.The host node of explorer, standby host node 1 and standby host node 2, realize the high reliability of cluster, it is to avoid single
Point failure.
Referring to Fig. 2, Fig. 2 is the flow chart of specific tasks management and running, first from node 1, from node 2, can from node 3 etc.
To the idle resource of the host node report of explorer, subsequent host node is transferred distribute module and is informed by distribute module and needs
The available resources to be provided to framework；Subsequent host node provides the resource；Then framework scheduler is by task relevant information and needs
The information-replies such as the resource to be distributed are sent to from node to host node, then by host node, and then distribute suitable resource to certain
Individual framework actuator.After once-through operation is completed, idling-resource is checked whether there is, then reciprocal above-mentioned steps.
（1b）Automatically dispose platform is built, for scheduling of resource platform, corresponding application deployment mode is built；
The normal operation of scheduling of resource platform monitoring tenant application.If tenant is applied because some problems are out of service, resource
Dispatching platform can restart application.
Referring to Fig. 3, Fig. 3 is automatically dispose platform operational flow diagram, after the platform brings into operation, Automation first
Administration's script；Resource management and scheduling platform interface is called, and the script is converted into correspondence platform operations；Resource management platform
Start corresponding service processes from node corresponding（Mirror image）.
（1c）Application deployment mirror image is made, realizes that multi-tenant services cross-platform rapid deployment, realize the unified tune of resource
Degree.Referring to Fig. 4, make application deployment mirror image flow and write application program including user, write mirror image making script, making application
Mirror image and mirror image are deployed to node.
For example：For a packed java application program demo.jar, draw remove an operating system mirror image first
Such as ubuntu： docker pull ubuntu；Packed jar bags are mounted in the mirror image, and start the system, made
Make startup script, and when being set to system startup, run the java programs；This is submitted to be mirrored to mirror image warehouse；Finally by the mirror
As pulling in each calculate node.
（1d）Customization multi-tenant automatization of service deployment strategy, multi-tenant is realized according to application-specific scene and dilatation strategy
Service arrangement；
Automatically dispose platform can realize user to application resource（The resources such as CPU, internal memory and disk）Custom-configure.Together
When, monitor the concurrent request processing ability of application.User can custom-configure Vigilance parameter and dilatation strategy, beyond warning
After value, to current application capacity enlargement or service processes can be increased, be used to meet application demand.
Step 2, builds application and development middleware platform：
Application and development middleware platform, there is provided distribution, the data sharing platform of multi-tenant application, state storage platform and point
The RPC systems of cloth application.Referring to Fig. 5, application layer APP respectively with middleware platform in calculate node, storage cluster ease up
Deposit cluster connection.
（2a）Data sharing storage platform is built, multi-tenant service infrastructure data isolation and shared, basic data are realized
Storage is isolated by tenant ID；
（2b）Multi-tenant service is built, status data storage platform realizes that status data is separated；
（2c）RPC systems are built, all service requests of system access are detected and forwarded, be multi-tenant application dynamic state part
Administration provides foundation.
Step 3, realizes that stateless multi-tenant is served by design based on middleware platform.Referring to Fig. 6, RPC systems difference
Including some modules.
（3a）Stateful service in application modules carries out stateless transformation, by status data storage in caching server
In, dynamic load corresponding status data information during using operation；
（3b）Multi-tenant service accesses middleware platform, and crucial RPC service is monitored in service module, obtains current clothes
Business disposal ability；（3c）The virtual image of modules in multi-tenant service is built, detailed step is shown in（1c）；
Step 4, multi-tenant application is automatic, quick deployment method：Referring to Fig. 7, include respectively
（4a）Delivery applications mirror image, and application is installed in each calculate node；
（4b）According to specified application deployment mode, to Resource Scheduler application resource, according to（1d）The deployment strategy of middle formulation,
Dispose different types of multi-tenant service；
（4c）It is directed to during deployment（3b）In RPC systems, specify corresponding capacity planning and corresponding capacity enlargement strategy（1d）；
（4d）When increasing new tenant and applying, current service level situation is judged, when service ability β is less than the threshold value 85% specified
When, dynamic capacity-expanding increases new service processes.The capacity θ of the newly-increased service processes of secondary dilatation, is expanded according to different scales
Fill and manage.The scale of application process can be estimated by the method for pressure test, for specifying CPU, interior during assessment
The situation of depositing is tested;
β=current RPC number of requests/current RPC capacity
Θ=RPC queuings number × current RPC capacity/current RPC system concurrency peak values
（4e）Continue monitoring service disposal ability, the service processing amount in average 3 minutes of system monitoring, after judging dilatation
Service level, if service ability is lifted and less than the threshold value 85% specified, if it is performs step（4f）, otherwise, perform
Step（4c）；
（4f）Access service request in front end is fed back, the number of requests of system access is adjusted, the service that front end is accessed is entered
Row flow is controlled, and keeps away face background service pressure.
The thinking that the present invention is realized is that application and development is based on PaaS platform and application and development middleware platform, these platforms
Network, storage, calculating platform required for providing application and development, are adjusted in applying by unified management and control centre
Service Source needed for disparate modules.Multi-tenant application is realized using stateless service framework, is all nothing between different modules
State, all of status data is stored in middleware platform.So as to all real in two aspects of data and application example
The shared isolation now applied.
Embodiments of the present invention are described above in conjunction with drawings and Examples, the not composition that embodiment is provided is to this hair
Bright limitation, those skilled in the art in the art can within the scope of the appended claims make according to needing to adjust
Various deformations or amendments are in protection domain.
Claims (6)
1. a kind of multi-tenant based on cloud platform services quick deployment method, it is characterised in that comprise the following steps：
Step one, builds and applies automatically dispose platform；The PaaS platform on basis is built, to provide application schedules, management and portion
The primary demand of administration, while using the application deployment techniques of lightweight, the basic running environment system that multi-tenant application is relied on
One packaging, can be on any platform for supporting virtualization, rapid deployment and operation；
Step 2, builds application and development middleware platform, application and development middleware platform, there is provided distributed, multi-tenant application
The RPC systems of data sharing platform, state storage platform and Distributed Application；
Step 3, realizes that stateless multi-tenant is served by design based on middleware platform；
Step 4, multi-tenant application is automatic, quick deployment method.
2. a kind of multi-tenant based on cloud platform according to claim 1 services quick deployment method, it is characterised in that：Institute
Stating step one includes：
（1a）Resource management and scheduling platform is built, to realize two-stage resource scheduling management, physical machine hardware resource can be believed
Breath is monitored, and distributes physical resource according to corresponding Scheduling Framework；
（1b）Automatically dispose platform is built, for scheduling of resource platform, corresponding application deployment mode is built；
（1c）Application deployment mirror image is made, rapid deployment and the scheduling of multi-tenant service is realized；
（1d）Customization multi-tenant automatization of service deployment strategy, multi-tenant service is realized according to application-specific scene and dilatation strategy
Deployment.
3. a kind of multi-tenant based on cloud platform according to claim 1 services quick deployment method, it is characterised in that：Institute
Stating step 2 includes：
（2a）Data sharing storage platform is built, multi-tenant service infrastructure data isolation and shared, basic data storage is realized
Isolated by tenant ID；
（2b）Multi-tenant service is built, status data storage platform realizes that status data is separated；
（2c）RPC systems are built, all service requests of system access are detected and forwarded, be multi-tenant application dynamic state part
Administration provides foundation.
4. a kind of multi-tenant based on cloud platform according to claim 1 services quick deployment method, it is characterised in that：Institute
Stating step 3 includes：
（3a）Stateful service in application modules carries out stateless transformation, by status data storage in caching server,
Dynamic load corresponding status data information during using operation；
（3b）Multi-tenant service is accessed into middleware platform, crucial RPC service is monitored in service module, obtain current
Service processing ability；
（3c）Build the virtual image of modules in multi-tenant service.
5. a kind of multi-tenant based on cloud platform according to claim 1 services quick deployment method, it is characterised in that：Institute
Stating step 4 includes：
（4a）According to specified application deployment mode, different types of multi-tenant service is disposed；
（4b）For crucial service module during deployment, its corresponding capacity planning and corresponding capacity enlargement strategy are specified；
（4c）When increasing new tenant and applying, current service level situation is judged, when service level is less than the threshold value specified, move
State dilatation increases new service processes;
The capacity of the newly-increased service processes of secondary dilatation, is expanded and is managed according to different scales;
The scale of application process can be estimated by the method for pressure test, for specified CPU, internal memory situation during assessment
Tested.
6. a kind of multi-tenant based on cloud platform according to claim 5 services quick deployment method, it is characterised in that：It is complete
Also include into rear：
（4d）Continue monitoring service disposal ability, in the service processing in observation average time, judge the service level after dilatation,
If service level is lifted and less than the threshold value specified, if it is performs step（4g）, otherwise, perform step（4d）；
（4g）Access service request in front end is fed back, the number of requests of system access is adjusted, the service that front end is accessed is entered
Row flow is controlled, and keeps away face background service pressure.
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| CN107704252A (en) * | 2017-10-20 | 2018-02-16 | 北京百悟科技有限公司 | A kind of method and system for providing a user artificial intelligence platform |
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| CN111190738A (en) * | 2019-12-31 | 2020-05-22 | 北京仁科互动网络技术有限公司 | User mirroring method, device and system under multi-tenant system |
| CN111301433A (en) * | 2018-12-12 | 2020-06-19 | 北京图森智途科技有限公司 | Management system, method and device for computing nodes of automatic driving vehicle |
| CN112925530A (en) * | 2021-03-30 | 2021-06-08 | 重庆阿克索信息科技有限公司 | Cloud and local hybrid deployment service system |
| CN117120984A (en) * | 2021-01-28 | 2023-11-24 | 硕动力公司 | Multi-base layer fault-tolerant continuous delivery of built data centers on cloud computing platforms |
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