CN114443001A - Device supporting SaaS application flow customization and operation as required - Google Patents
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Abstract
The invention relates to the technical field of SaaS platform operation, and discloses a device for supporting SaaS application flow customization and operation as required. According to the device supporting the SaaS application flow to be customized and operated as required, software is provided for users by a software service operator as a service in a SaaS mode, the essential regression of the software is realized, the users only use an unaffiliated service mechanism, the cost and risk problems of enterprises on an information road are solved, the access and the drive of flow variables of a business flow are realized, the mapping and the isolation of multi-tenant flows are realized, a flow engine is supported to be shared by a plurality of tenants, the tenant flows are not interfered with each other, software resources are fully utilized, and meanwhile, the deployment cost and the maintenance cost of the enterprises are also reduced.
Description
Technical Field
The invention relates to the technical field of SaaS platform operation, in particular to a device for supporting SaaS application flow customization and operation as required.
Background
SaaS defines a new delivery mode, so that software further returns to the service essence, the SaaS application software can uniformly deploy the application software on a server of the SaaS application software, sell required application software services to manufacturers through the Internet according to actual working requirements, charge customers according to the quantity and time of the sold services and provide the services through the Internet, the SaaS service generally provides services for different customers (also called tenants) based on a set of standard software systems, which requires that the SaaS service can support the isolation of data and configuration among different tenants, thereby ensuring the safety and privacy of data of each tenant and the personalized requirements of the users on interfaces, business logics, data structures and the like, the essence of enterprise deployment information software is the operation management service of the enterprise, and the appearance of the software is the informatization, essence or a service mode of a business flow, the SaaS changes the providing mode of the traditional software service, reduces a large amount of early investment required by local deployment, further highlights the service attribute of the information software, and becomes the mainstream delivery mode of the future information software market.
At present, a SaaS application method based on workflow has been successfully implemented at home and abroad, for example, E-Power services proposed by china telecommunications and china internet communications, the SaaS mode is favorable for a service provider to rapidly promote services by means of the characteristics of the internet, so that the service provider can use more services, save social resources, and also enable the service provider to have more energy to be put into the development of service logic, regarding a SaaS application method of workflow, Milinda Pathirage proposes a framework for service flow execution under multiple tenants, a workflow engine supporting the workflow of multiple tenants to run under the condition that the workflow in the same engine instance does not need to be modified, Bin Wu proposes a service flow management reference model facing SaaS, four reference models of swfms are respectively proposed according to four maturity models of the SaaS mode, and a specific bwfms is realized: WAAS, workflow is usually designed according to a given workflow, and this way caters to system-independent services, that is, one system only serves one user, but such a development mode cannot meet the requirement of multiple tenants in SaaS environment.
Disclosure of Invention
The invention provides a device for supporting the customization and operation of SaaS application flow as required, which has the advantages of improving the operation efficiency of a system and meeting the requirement of multiple tenants, and solves the problems in the background technology.
The invention provides the following technical scheme: a device for supporting SaaS application flow customization and operation as required comprises a tenant sensing agent module, a flow description module, a flow data mapping module, an execution manager and an original workflow engine, wherein the execution manager comprises a flow deployment component, a flow creation component and a flow operation component, and is characterized in that: the method specifically comprises the following steps:
1. user registration:
a user logs in a big data analysis platform, registers an account number and enters the big data analysis platform;
2. creating a workflow:
the establishment of the workflow is the core of the whole platform, the data analysis work is realized by the algorithm component provided by the function, and compared with the traditional data analysis functional component, the workflow is mainly characterized in that one algorithm corresponds to one node, and different nodes are connected in series to complete an analysis task;
3. self-help analysis and self-help report:
visually displaying the analysis result, completing the mapping from the data space to the visual space, and displaying the relatively obscure data in a visual and interactive mode, so that the information and the rule contained in the data are visually and intuitively expressed, a user completes a report form by using a self-service report, and self-service analysis is performed by using a workflow and a release editor to complete the analysis and mining of the result;
4. application design:
and the mining results of self-service analysis and the report forms of self-service report completion are quickly assembled together. For example, when a project is subjected to multi-angle and multi-subject analysis, the dispersed analysis results can be combined together through application design to form a digital application product;
5. auditing and releasing:
enterprise business personnel can apply for using the digital product design according to the requirements, and verify the application design result and issue the application product;
6. big data application service:
the customer uses the digitized product according to the application design of the application.
Preferably, the tenant-aware proxy module is configured to obtain tenant context information corresponding to a current tenant, the process description module is configured to describe mapping relationships between process node information, control structure information, related roles and users, and between process nodes and a service in a service process, the process data mapping module is configured to identify process information, roles, and users related to the tenant according to the context information of the tenant, so as to implement mapping and isolation of process data, the execution manager is configured to parse a user request message, interact with the tenant-aware proxy module to obtain context information of the current tenant, and invoke the process data mapping module to respond to a process request, the process request includes process deployment and creation and execution of a process instance, the process deployment component is configured to interact with the tenant-aware proxy module to obtain context information of the current tenant, the method comprises the steps of calling and receiving process description information which is synthesized by a process data mapping module and has tenant characteristics, wherein a process creating component is used for creating a workflow instance and storing context information of a tenant, a process running component is used for interacting with a tenant sensing agent module to obtain the context information of the current tenant, a process describing module is called to obtain the process information which is synthesized by the process data mapping module and has the tenant characteristics, the process describing module is called to obtain changed service resources and write back the process information, and an original workflow engine interacts with an execution manager to complete corresponding operation.
Preferably, the process 2 comprises the following steps:
the method comprises the following steps: acquiring internal and external data, and supporting management and access of multiple data sources, wherein the data sources comprise structured data sources;
step two: data preprocessing, namely preprocessing collected original data before a data mining algorithm is executed so as to improve the quality of the data and improve the efficiency, the precision and the performance of a data mining process;
step three: and data statistical analysis and prediction, wherein the statistical analysis and prediction are carried out based on the preprocessed data, and the statistical analysis and prediction are realized by using an analysis workflow with a self-recording function.
Preferably, the process deployment component can complete the process deployment operation, interact with the tenant awareness agent module to obtain the context information of the current tenant, and complete the process deployment to implement workflow isolation.
Preferably, the process creation component creates a workflow instance, and stores tenant context information as a basis for the process data mapping module.
Preferably, the process running component calls the workflow engine to create a process instance for the tenant or execute a task requested by the tenant, and completes the process running.
The invention has the following beneficial effects:
1. according to the device supporting the SaaS application flow to be customized and operated as required, software is provided for users by a software service operator as a service in a SaaS mode, so that the essential regression of the software is realized, the users only use an unaffiliated service mechanism, and the cost and risk problems of enterprises on an informatization road are solved.
2. According to the device supporting the SaaS application flow to be customized and operated according to the needs, in the SaaS mode, a client does not need to spend a large amount of resources on the arrangement and maintenance of software and hardware, the personnel configuration training and the like in the traditional mode, only a certain rental service cost needs to be paid, the corresponding hardware, software and maintenance service can be enjoyed through the Internet, the software use right is enjoyed, the upgrading is continued, and the device is the most beneficial operation mode of network application.
3. According to the device supporting the SaaS application flow customization and operation on demand, the flow variable access and drive of the service flow are realized through the method supporting the SaaS application flow customization and operation on demand, the mapping and isolation of the multi-tenant flow are realized, a flow engine is supported to share by a plurality of tenants, the tenant flows are not interfered with each other, the software resources are fully utilized, meanwhile, the deployment cost and the maintenance cost of an enterprise are reduced, and users are released from heavy maintenance work.
4. According to the device supporting the SaaS application flow customization and operation as required, the method supporting the SaaS application flow customization and operation as required supports the loose coupling of the flow construction and the business service, and supports tenants to arrange complex business flows through the device, supports a plurality of tenants to share one flow engine, the tenant flows are not interfered with each other, and software resources are fully utilized.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a flow chart of the present invention.
In the figure: 1. a tenant awareness agent module; 2. a flow description module; 3. a flow data mapping module; 4. an original workflow engine; 5. an execution manager; 6. a flow deployment component; 7. a flow creation component; 8. the process runs the components.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-2, an apparatus for supporting SaaS application flow customization and operation as required includes a tenant sensing agent module 1, a flow description module 2, a flow data mapping module 3, an execution manager 5 and an original workflow engine 4, where the execution manager 5 includes a flow deployment component 6, a flow creation component 7 and a flow operation component 8, the tenant sensing agent module 1 is used to obtain tenant context information corresponding to a current tenant, the flow description module 2 is used to describe flow node information, control structure information, related roles and users, and mapping relationships between flow nodes and business services in a business flow, the flow data mapping module 3 is used to identify flow information, roles, and users related to the tenant according to the tenant context information, to implement mapping and isolation of flow data, the execution manager 5 is used to parse user request information, interacting with the tenant sensing agent module 1 to obtain the context information of the current tenant, and calling the process data mapping module 3 to respond to the process request, wherein the process request comprises process deployment, creation and execution of process instances, the process deployment component 6 is used for interacting with the tenant sensing agent module 1 to obtain the context information of the current tenant, calling and receiving the process description information which is synthesized by the process data mapping module 3 and has tenant characteristics, the process creation component 7 is used for creating workflow instances and saving the context information of the tenant, the process operation component 8 is used for interacting with the tenant sensing agent module 1 to obtain the context information of the current tenant, calling the process description module 2, obtaining the process information which is synthesized by the process data mapping module 3 and has tenant characteristics, calling the process description module 2, obtaining changed service resources and writing back the process information, the original workflow engine 4 interacts with the execution manager 5 to complete corresponding operations; the flow deployment component 6 can complete flow deployment operation, interact with the tenant sensing agent module to obtain the context information of the current tenant, and the flow deployment component 6 completes flow deployment to isolate the workflow; the flow creation component 7 creates a workflow instance, and stores tenant context information as a basis of a flow data mapping module; the flow operation component 8 calls the workflow engine to create a flow instance for the tenant or execute the task requested by the tenant, and completes the flow operation.
The operation steps are as follows:
1. user registration:
a user logs in a big data analysis platform, registers an account number and enters the big data analysis platform;
2. creating a workflow:
the establishment of the workflow is the core of the whole platform, the data analysis work is realized by the algorithm component provided by the function, and compared with the traditional data analysis functional component, the workflow is mainly characterized in that one algorithm corresponds to one node, and different nodes are connected in series to complete an analysis task;
3. self-help analysis and self-help report:
visually displaying the analysis result, completing the mapping from the data space to the visual space, and displaying the relatively obscure data in a visual and interactive mode, so that the information and the rule contained in the data are visually and intuitively expressed, a user completes a report form by using a self-service report, and self-service analysis is performed by using a workflow and a release editor to complete the analysis and mining of the result;
4. application design:
and the mining results of self-service analysis and the report forms of self-service report completion are quickly assembled together. For example, when a project is subjected to multi-angle and multi-subject analysis, the dispersed analysis results can be combined together through application design to form a digital application product; 5. auditing and releasing:
enterprise business personnel can apply for using the digital product design according to the requirements, and verify the application design result and issue the application product;
6. big data application service:
the customer uses the digitized product according to the application design of the application.
The process 2 comprises the following steps:
the method comprises the following steps: internal and external data are obtained, management and access of multiple data sources are supported, and the data sources comprise structured data sources, such as data in the forms of databases HIVE, MYSQL, MSSQL, TRANSWARP INCEPTOR, POSTGRES, ORACLE, neo4j, Elasticisarch, excel, text and the like; unstructured data sources, such as data in the form of videos, pictures, xml, and the like, are also included;
step two: data preprocessing, which is necessary to preprocess the collected raw data before the data mining algorithm is executed, to improve the quality of the data, to improve the efficiency, accuracy and performance of the data mining process, to remove noisy and irrelevant data from the source data set from the large, incomplete, noisy, fuzzy and random data, to process missing data and to clean up dirty data, to identify missing outliers, to extract hidden, previously unknown, but potentially useful information and knowledge. In the data preprocessing process, the use of the functional components has no sequence, and certain preprocessing may be carried out for many times;
step three: and data statistical analysis and prediction, wherein the statistical analysis and prediction are carried out based on the preprocessed data, the statistical analysis and prediction are realized by utilizing an analysis workflow with a self-recording function, the statistical analysis, the machine learning, the deep learning and other algorithm node splicing combination are mainly carried out, an analysis model is constructed, and the statistical analysis and prediction are completed.
The working principle is as follows: in the invention, a tenant sensing agent module 1 is used for obtaining the tenant context information corresponding to the current tenant, a flow description module 2 is used for describing the mapping relation between the flow node information, the control structure information, the related role and the user, the flow node and the service in the service flow, a flow data mapping module 3 identifies the flow information, the role and the user related to the tenant according to the context information of the tenant, the mapping and the isolation of flow data are realized, an execution manager 5 analyzes the request information of the user, interacts with the tenant sensing agent module 1 to obtain the context information of the current tenant, and calls the flow data mapping module 3 to respond to the request of the flow, a flow deployment component 6 interacts with the tenant sensing agent module 1 to obtain the context information of the current tenant, deploys the flow and realizes the isolation of the flow, a flow creation component 7 creates a workflow instance to store the context information of the tenant, the process running component 8 and the tenant sensing agent module 1 interact to obtain context information of a current tenant, organize process parameters, execute corresponding tenant services, and after the tenant services are executed, the original workflow engine 4 and the execution manager 5 interact to complete corresponding operations, so that process variable access and driving of a business process are realized, mapping and isolation of a multi-tenant process are realized, a plurality of tenants are supported to share one process engine, tenant processes are not interfered with each other, and software resources are fully utilized.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. An apparatus for supporting SaaS application process on-demand customization and operation, comprising a tenant awareness agent module (1), a process description module (2), a process data mapping module (3), an execution manager (5) and an original workflow engine (4), wherein the execution manager (5) comprises a process deployment component (6), a process creation component (7) and a process operation component (8), and is characterized in that: the method specifically comprises the following steps:
1. user registration:
a user logs in a big data analysis platform, registers an account number and enters the big data analysis platform;
2. creating a workflow:
the establishment of the workflow is the core of the whole platform, the data analysis work is realized by the algorithm component provided by the function, and compared with the traditional data analysis functional component, the workflow is mainly characterized in that one algorithm corresponds to one node, and different nodes are connected in series to complete an analysis task;
3. self-help analysis and self-help report:
visually displaying the analysis result, completing the mapping from the data space to the visual space, and displaying the relatively obscure data in a visual and interactive mode, so that the information and the rule contained in the data are visually and intuitively expressed, a user completes a report form by using a self-service report, and self-service analysis is performed by using a workflow and a release editor to complete the analysis and mining of the result;
4. application design:
and the mining results of self-service analysis and the report forms of self-service report completion are quickly assembled together. For example, when a project is subjected to multi-angle and multi-subject analysis, the dispersed analysis results can be combined together through application design to form a digital application product; 5. auditing and releasing:
enterprise business personnel can apply for using the digital product design according to the requirements, and verify the application design result and issue the application product;
6. big data application service:
the customer uses the digitized product according to the application design of the application.
2. The device for supporting the customizing and running of the SaaS application process according to the requirement of claim 1, wherein: the tenant sensing agent module (1) is used for obtaining tenant context information corresponding to a current tenant, the process description module (2) is used for describing mapping relations between process node information, control structure information and related roles and users, process nodes and business services in a business process, the process data mapping module (3) is used for identifying the process information, roles and users related to the tenant according to the tenant context information to realize mapping and isolation of process data, the execution manager (5) is used for analyzing user request information, interacting with the tenant sensing agent module (1) to obtain the context information of the current tenant, and calling the process data mapping module (3) to respond to a process request, the process request comprises process deployment, creation and execution of process instances, and the process deployment component (6) is used for interacting with the tenant sensing agent module (1) to obtain the context information of the current tenant, the method comprises the steps of calling and receiving process description information which is synthesized by a process data mapping module (3) and has tenant characteristics, calling a process creating component (7) for creating a workflow instance and storing context information of a tenant, calling a process describing module (2) for interacting with a tenant sensing agent module (1) to obtain the context information of the current tenant, obtaining the process information which is synthesized by the process data mapping module (3) and has the tenant characteristics, calling the process describing module (2) for obtaining changed service resources and writing back the process information, and interacting an original workflow engine (4) with an execution manager (5) to complete corresponding operation.
3. The device for supporting the customizing and running of the SaaS application process according to the requirement of claim 1, wherein: the process 2 comprises the following steps:
the method comprises the following steps: acquiring internal and external data, and supporting management and access of multiple data sources, wherein the data sources comprise structured data sources;
step two: data preprocessing, namely preprocessing collected original data before a data mining algorithm is executed so as to improve the quality of the data and improve the efficiency, the precision and the performance of a data mining process;
step three: and data statistical analysis and prediction, wherein the statistical analysis and prediction are carried out based on the preprocessed data, and the statistical analysis and prediction are realized by using an analysis workflow with a self-recording function.
4. The device for supporting the customizing and running of the SaaS application process according to the requirement of claim 1, wherein: the process deployment component (6) can complete process deployment operation, interacts with the tenant sensing agent module to obtain context information of the current tenant, and the process deployment component (6) completes process deployment and isolates workflows.
5. The device for supporting the customizing and running of the SaaS application process according to the requirement of claim 1, wherein: the flow creation component (7) creates a workflow instance, and stores tenant context information as a basis for the flow data mapping module.
6. The device for supporting the customizing and running of the SaaS application process according to the requirement of claim 1, wherein: and the flow operation component (8) calls a workflow engine to create a flow instance aiming at the tenant or execute a task requested by the tenant, and completes the flow operation.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116432169A (en) * | 2023-06-13 | 2023-07-14 | 达而观信息科技（上海）有限公司 | Automatic task permission control method, system and equipment based on sharing strategy |
| CN117422288A (en) * | 2023-11-07 | 2024-01-19 | 广州市玄武无线科技股份有限公司 | Visiting flow accurate matching templatization and plugin method |
-
2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116432169A (en) * | 2023-06-13 | 2023-07-14 | 达而观信息科技（上海）有限公司 | Automatic task permission control method, system and equipment based on sharing strategy |
| CN116432169B (en) * | 2023-06-13 | 2023-09-26 | 达而观信息科技（上海）有限公司 | Automatic task permission control method, system and equipment based on sharing strategy |
| CN117422288A (en) * | 2023-11-07 | 2024-01-19 | 广州市玄武无线科技股份有限公司 | Visiting flow accurate matching templatization and plugin method |
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