CN112199075B - Intelligent information processing method and framework system based on micro-service - Google Patents
Intelligent information processing method and framework system based on micro-service Download PDFInfo
- Publication number
- CN112199075B CN112199075B CN202011061990.1A CN202011061990A CN112199075B CN 112199075 B CN112199075 B CN 112199075B CN 202011061990 A CN202011061990 A CN 202011061990A CN 112199075 B CN112199075 B CN 112199075B
- Authority
- CN
- China
- Prior art keywords
- service
- micro
- operator
- information processing
- configuration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000010365 information processing Effects 0.000 title claims abstract description 75
- 238000003672 processing method Methods 0.000 title claims abstract description 7
- 238000012545 processing Methods 0.000 claims abstract description 36
- 238000000034 method Methods 0.000 claims abstract description 23
- 238000002347 injection Methods 0.000 claims description 24
- 239000007924 injection Substances 0.000 claims description 24
- 238000006243 chemical reaction Methods 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 11
- 238000012549 training Methods 0.000 claims description 9
- 238000013507 mapping Methods 0.000 claims description 4
- 230000006870 function Effects 0.000 description 22
- 238000011160 research Methods 0.000 description 8
- 238000011161 development Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000001125 extrusion Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013075 data extraction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000026676 system process Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/20—Software design
- G06F8/22—Procedural
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
-
- 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
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
- G06F9/4451—User profiles; Roaming
-
- 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
- G06F9/448—Execution paradigms, e.g. implementations of programming paradigms
- G06F9/4482—Procedural
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Stored Programmes (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a micro-service-based intelligent information processing method and a framework. The method comprises the following steps: 1) a unified access service unit is arranged in the micro-service intelligent information processing frame; for each external data source to be accessed into the micro-service intelligent information processing frame, the unified access service unit converts the external data source into a set data format in the frame; 2) inquiring an operator service list of a micro-service intelligent information processing framework aiming at each set micro-service, selecting an operator required by the set micro-service, entering an operator editing interface, and establishing an information processing flow of the set micro-service; 3) when the micro-service intelligent information processing frame receives a micro-service request, analyzing meta-information in the micro-service request, determining an information processing flow for processing a message body in the micro-service request, and generating a final data set; 4) and the micro-service intelligent information processing framework returns the final data set to the micro-service request sender to complete the micro-service request.
Description
Technical Field
The invention belongs to the field of computer intelligent information processing, relates to an intelligent information processing method and a framework system based on microservice, and aims to provide an integrated framework for developing training and constructing a processing flow for intelligent information processing.
Background
Intelligent information processing is a method and technology for establishing theories, algorithms and systems for processing complex system information by simulating the behavior of people and other biological processing information in nature. Intelligent information processing is mainly faced with the problem of phenomena handling of uncertain systems and uncertain phenomena. The intelligent phenomenon processing has wide application prospect in the fields of complex system modeling, system analysis, system decision, system control, system optimization, system design and the like.
Since the 90 s of the 20 th century, in the deep development process of intelligent information processing research, people pay special attention to the duality of accurate processing and inaccurate processing, and emphasize the synthesis of symbolic physical mechanism and connection mechanism, tend to break through the new path of "evolutionary theory" of "physics type" frame system, and a new branch called computational intelligence is generally proposed and developed with a faster target.
The technical field of information processing at the present stage presents two development trends: one is large-scale, multimedia-oriented information, enabling computer systems to have the capability of processing a larger range of information; another is to further combine with artificial intelligence to make the computer system process information more intelligently. The intelligent information processing is a leading-edge cross discipline in computer science, is an application-oriented comprehensive discipline, and aims to process massive and complex information and research new and advanced theories and technologies. The intelligent information processing research covers a plurality of levels such as basic research, application basic research, key technology research and application research. The method not only has high theoretical research value, but also has very important significance for the development of national information industry and the construction and development of the whole social economy.
With the continuous development of computer networks, network data is increased explosively, information contained in each piece of data is more multidimensional, and a single processing operator is difficult to show multidimensional characteristics of the data in an all-around manner, so that a flexible multi-operator processing set is matched with a mainstream micro-service framework to quickly access the data and extract useful information in the data in a multi-dimensional manner.
Disclosure of Invention
Based on the method, the invention provides an intelligent information processing method and a framework system based on micro-services in order to solve the problem of the limitation of single information intelligent processing operator data analysis and quickly construct intelligent processing flow services.
As shown in fig. 1, the present invention mainly includes two aspects:
(1) intelligent operator management; (2) an intelligent service platform;
the intelligent operator management comprises a model training platform and an operator management platform. The model training platform aims to provide an integrated environment for operator development and testing for users, provides management of various basic environment images and configurable data source access for the users, can conveniently manage and use the environments or framework systems, provides various testing data sources and data source formatting, can quickly access training data, and provides model registration and multi-version control for the training model platform. The operator management platform aims to provide intelligent operator services for users, and comprises text operator services, image operator services, voice operator services and the like. The base mirror includes functionality to provide query, delete, and modify functions for existing operators. Firstly, an operator service list is inquired, summary information of an operator is displayed in the list, the operator editing interface is accessed through the name and the id of the operator, the operator can be edited in the editing interface, the operator deleting and the operator modifying are included, and the operator modifying includes the modifying of the registration information of the operator and the operator configuration file. The registration of the operator provides various index configurations, including operator name configuration, resource annotation configuration, resource quota, model and mirror configuration, command and parameter configuration, restart policy configuration, authority configuration, environment variable configuration, monitoring check configuration, copy and scheduling configuration and the like.
The main goal of the intelligent service platform is to integrate intelligent operators to form a multi-dimensional information extraction flow. The intelligent service platform comprises a data bus, a data processing flow, a data post-processing service and a data flow monitoring service. The platform starts from data access, the data access provides a uniform format conversion interface, external data is uniformly converted into a data format inside the framework, and the internal data format can be directly sent to operator services registered in the intelligent service platform. The service registration provides various and multi-version operator services, the operators are packaged into a customized object providing services to the outside by configuring parameters such as interface modes, input and output formats and the like, and the architecture provides various interface modes such as restful api and grpc, so that the interface requirements of data in various formats can be met. The workflow establishing module supports workflow layout operation in an interactive visualization mode, establishes a logical relation between data and operators, supports operator parameter configuration in an interactive visualization mode, supports definition of the logical relation between the data and the operators, and supports immediate data extraction or loading in the workflow layout process to perform operator calculation and intermediate calculation model management. The intelligent state detection service provides data flow monitoring, data extrusion monitoring, operator service processing rate monitoring, data extrusion monitoring, abnormal alarming and the like, and can monitor the health state of the workflow in a multi-dimensional mode.
The technical scheme of the invention is as follows:
an intelligent information processing method based on micro-service comprises the following steps:
1) a unified access service unit is arranged in the micro-service intelligent information processing frame system; for each external data source to be accessed into the micro-service intelligent information processing frame system, the unified access service unit converts the data format of the external data source into a set data format in the micro-service intelligent information processing frame system for each operator in the micro-service intelligent information processing frame system to use;
2) inquiring an operator service list of a micro-service intelligent information processing framework system aiming at each set micro-service, selecting an operator required by the set micro-service, entering an operator editing interface, and editing the selected operator; then, establishing a logical relation between data and operators for the edited and modified selected operators to form an information processing flow of the set micro-service;
3) when the micro-service intelligent information processing frame system receives a micro-service request, the micro-service request comprises a request message body and request meta-information, the request meta-information specifies an information processing flow for processing the micro-service request, and the request message body is one or more pieces of data with set formats, which are generated by converting data of an external data source through a unified access service unit; analyzing meta information in the micro service request, determining an information processing flow for processing a message body in the micro service request, wherein the information processing flow is of a tree structure, each node corresponds to an operator service, the data flow generates corresponding intermediate data through each child node, the operator of each node in the tree structure processes the intermediate data generated by the operator corresponding to the last node, and finally, the operator corresponding to the leaf node is reached to generate a final data set;
4) and the micro-service intelligent information processing framework system returns the final data set to the micro-service request sender to complete the micro-service request.
Further, editing the operator includes editing and modifying the registration information of the operator and the operator configuration file.
Further, the configuration information of the operator registered in the microservice intelligent information processing framework system comprises: operator name configuration, resource annotation configuration, resource quota, model and mirror configuration, command and parameter configuration, restart policy configuration, authority configuration, environment variable configuration, monitoring check configuration, copy and scheduling configuration.
Further, the method for converting the data format of the external data source into the set data format in the micro-service intelligent information processing framework system by the unified access service unit in the modes of configuration injection and function injection comprises the following steps: a) for configuration injection, the micro-service intelligent information processing frame system sets a resource object configable for each external data source, the configable includes meta-information and configuration information, the meta-information is the relevant information of the access service bound by the external data source, the uniform access service unit injects the configuration information in the resource object configable corresponding to the external data source into the bound access service by analyzing the meta-information corresponding to the external data source, and after the access service completes configuration injection, the conversion from the field in the external data source to the corresponding field in the micro-service intelligent information processing frame system is completed according to the configured format and type mapping relation; b) for function injection, the injection content is a function runtime code and a function source code, an independently running function service is generated through the function runtime code and the function source code, and the access service calls the function service through a reference function name in the configuration information to complete the logic conversion of the injected function.
Further, the meta information comprises an access service name and a service name space to be bound; the configuration information comprises an access data source address, a source field name, a source field type, a destination field name, a destination field type and a reference function name.
An intelligent information processing frame system based on micro-service is characterized by comprising a uniform access service unit, a model training platform, an operator management platform and an intelligent service platform; wherein,
the model training platform is used for providing management of various basic environment images and configurable data source access for a user; for each external data source to be accessed into the micro-service intelligent information processing frame system, the unified access service unit converts the data format of the external data source into a set data format in the micro-service intelligent information processing frame system for each operator in the micro-service intelligent information processing frame system to use;
the operator management platform is used for providing intelligent operator service for a user; aiming at each set micro service, a user inquires an operator service list of a micro service intelligent information processing frame system, selects an operator required by the set micro service and enters an operator editing interface to edit the selected operator; then, establishing a logical relation between data and operators for the edited and modified selected operators to form an information processing flow of the set micro-service;
the intelligent service platform is used for receiving a micro service request when the micro service intelligent information processing frame system receives the micro service request, wherein the micro service request comprises a request message body and request meta-information, the request meta-information specifies an information processing flow for processing the micro service request, and the request message body is one or more pieces of data with set formats, which are generated by converting data of an external data source through a unified access service unit; analyzing meta information in the micro service request, determining an information processing flow for processing a message body in the micro service request, wherein the information processing flow is of a tree structure, each node corresponds to an operator service, data flow generates corresponding intermediate data through each child node, the operator of each node in the tree structure processes the intermediate data generated by the operator corresponding to the last node, finally, the operator corresponding to the leaf node is reached, and a final data set is generated and returned to a micro service request sender.
Compared with the prior art, the invention has the following positive effects:
1. the framework effectively integrates multiple data sources into a unified internal data format, and theoretically, the data sources with any format can be accessed.
2. The framework can integrate and arrange a plurality of operator services to form a complete data processing flow, and can provide rapid customized processing flow and data flow state monitoring for data processing.
Drawings
FIG. 1 is a diagram of an intelligent information processing architecture according to the present invention.
Fig. 2 is a unified access service access data flow diagram.
FIG. 3 is a flow chart of data processing according to the present invention.
Detailed Description
In order to make the technical solutions in the embodiments of the present invention better understood and make the objects, features, and advantages of the present invention more comprehensible, the technical core of the present invention is described in further detail below with reference to the accompanying drawings and examples.
As shown in fig. 2, the present architecture is responsible for accessing data sources by a unified access service, which is a portal for the present architecture to interact with external data. The method adopts a configuration injection and function injection mode to realize fast data conversion logic, and performs data format conversion on each piece of access data. The method comprises the steps of configuring a resource object named configable in an injection dependent framework system, wherein the configable mainly comprises meta information and configuration information, the meta information is relevant information of binding designated access service and comprises an access service name to be bound, a service name space and the like, the configuration information in the configable is injected into the bound access service through meta information analysis, the configuration information mainly comprises an access data source address, a source field name, a source field type, a destination field name, a destination field type, a reference function name and the like, and after the access service completes configuration injection through the configable, one-to-one quick conversion of the type and the name of the field A to the field B is completed according to the configured format and type mapping relation. The function reference information in the configuration injection implements more complex format conversion logic. The function injection content is function runtime and function source code, produce a function service of independent operation through runtime and source code, and the access service of binding can call the function service to finish the complicated conversion logic through the reference function name in the configuration. The access service finally completes the conversion from the source data format to the destination data format in the frame system through configuration and functions, finally the data is pushed to a message bus in a uniform internal data format number, and the message bus finally sends the message to each operator for use.
The framework can integrate and arrange a plurality of operator services to form a complete data processing flow, and can provide rapid customized processing flow and data flow state monitoring for data processing. As shown in fig. 3, the processing flow is mainly supported by an operator warehouse service and an operator canvas, and the operator warehouse provides basic operations of operators, such as: operator pulling, operator editing, operator starting and stopping and the like; the operator canvas provides visual operator arrangement service, and a complete visual data processing flow is finally formed by drawing a data processing relation between operators through the canvas. When a micro-service request is received, firstly, the request content is analyzed, the request comprises a request message body and request meta-information, the meta-information specifies a processing flow to which data is sent, and the request body is one or more pieces of data with internal formats, which are generated by external data through a uniform access service. After the meta information is analyzed, the request message body is pushed to a corresponding processing flow, the processing flow is of a tree structure and is generated by a canvas, each node is an operator service, data flow generates corresponding intermediate data through each child node, the operator of each node processes the intermediate data generated by the operator of the last node, the data finally reaches the operator of a leaf node to generate a final data set, the data set is returned to a request sender, and the micro-service request is completed.
The processes involved in the workflow creation and operation of the invention mainly include the following two processes: JobManager: the system is mainly responsible for scheduling task, coordinating resources and networks, recovering errors and the like. After the user submits the packaged task to the JobManager, the JobManager allocates the task to the TaskManager with resources according to the registered TaskManager resource information, and then starts to run the task. The task manager acquires task information from the JobManager and then runs the task by using the micro-service resources; TaskManager: and executing the task of the data stream, wherein one task may have a plurality of subtasks by setting the parallelism. Each TaskManager runs as an independent microservice process. He is primarily responsible for executing copies on separate threads. How many copies can be executed depends on the number of copies specified by each taskManager. A microservice is the smallest unit of resource in a processing stream. If a taskManager has 3 copies, he will allocate 1/3 memory resources to each copy, and currently many copies will not isolate the cpu. Copies in the same taskManager may share network resources and heartbeat information.
Although specific details of the invention, algorithms and figures are disclosed for illustrative purposes, these are intended to aid in the understanding of the contents of the invention and the implementation in accordance therewith, as will be appreciated by those skilled in the art: various substitutions, changes and modifications are possible without departing from the spirit and scope of the present invention and the appended claims. The invention should not be limited to the preferred embodiments and drawings disclosed herein, but rather should be defined only by the scope of the appended claims.
Claims (8)
1. An intelligent information processing method based on micro-service comprises the following steps:
1) a unified access service unit is arranged in the micro-service intelligent information processing frame system; for each external data source to be accessed into the micro-service intelligent information processing frame system, the unified access service unit converts the data format of the external data source into a set data format in the micro-service intelligent information processing frame system for each operator in the micro-service intelligent information processing frame system to use; the method for converting the data format of the external data source into the set data format in the micro-service intelligent information processing frame system by the unified access service unit in a configuration injection and function injection mode comprises the following steps: a) for configuration injection, the micro-service intelligent information processing frame system sets a resource object configable for each external data source, the configable includes meta-information and configuration information, the meta-information is the relevant information of the access service bound by the external data source, the uniform access service unit injects the configuration information in the resource object configable corresponding to the external data source into the bound access service by analyzing the meta-information corresponding to the external data source, and after the access service completes configuration injection, the conversion from the field in the external data source to the corresponding field in the micro-service intelligent information processing frame system is completed according to the configured format and type mapping relation; b) for function injection, the injection content is a function runtime code and a function source code, an independently running function service is generated through the function runtime code and the function source code, and the access service calls the function service through a reference function name in the configuration information to complete the logic conversion of the injected function;
2) inquiring an operator service list of a micro-service intelligent information processing framework system aiming at each set micro-service, selecting an operator required by the set micro-service, entering an operator editing interface, and editing the selected operator; then, establishing a logical relation between data and operators for the edited and modified selected operators to form an information processing flow of the set micro-service;
3) when the micro-service intelligent information processing frame system receives a micro-service request, the micro-service request comprises a request message body and request meta-information, the request meta-information specifies an information processing flow for processing the micro-service request, and the request message body is one or more pieces of data with set formats, which are generated by converting data of an external data source through a unified access service unit; analyzing meta information in the micro service request, determining an information processing flow for processing a message body in the micro service request, wherein the information processing flow is of a tree structure, each node corresponds to an operator service, the data flow generates corresponding intermediate data through each child node, the operator of each node in the tree structure processes the intermediate data generated by the operator corresponding to the last node, and finally, the operator corresponding to the leaf node is reached to generate a final data set;
4) and the micro-service intelligent information processing framework system returns the final data set to the micro-service request sender to complete the micro-service request.
2. The method of claim 1, wherein editing the operator comprises editing and modifying a registry of the operator, an operator profile.
3. The method of claim 1, wherein the configuration information for operators registered within the microservice intelligent information handling framework system comprises: operator name configuration, resource annotation configuration, resource quota, model and mirror configuration, command and parameter configuration, restart policy configuration, authority configuration, environment variable configuration, monitoring check configuration, copy and scheduling configuration.
4. The method of claim 1, wherein the meta information includes an access service name to be bound, a service namespace; the configuration information comprises an access data source address, a source field name, a source field type, a destination field name, a destination field type and a reference function name.
5. An intelligent information processing frame system based on micro-service is characterized by comprising a uniform access service unit, a model training platform, an operator management platform and an intelligent service platform; wherein,
the model training platform is used for providing management of various basic environment images and configurable data source access for a user; for each external data source to be accessed into the micro-service intelligent information processing frame system, the unified access service unit converts the data format of the external data source into a set data format in the micro-service intelligent information processing frame system for each operator in the micro-service intelligent information processing frame system to use; the method for converting the data format of the external data source into the set data format in the micro-service intelligent information processing frame system by the unified access service unit in a configuration injection and function injection mode comprises the following steps: a) for configuration injection, the micro-service intelligent information processing frame system sets a resource object configable for each external data source, the configable includes meta-information and configuration information, the meta-information is the relevant information of the access service bound by the external data source, the uniform access service unit injects the configuration information in the resource object configable corresponding to the external data source into the bound access service by analyzing the meta-information corresponding to the external data source, and after the access service completes configuration injection, the conversion from the field in the external data source to the corresponding field in the micro-service intelligent information processing frame system is completed according to the configured format and type mapping relation; b) for function injection, the injection content is a function runtime code and a function source code, an independently running function service is generated through the function runtime code and the function source code, and the access service calls the function service through a reference function name in the configuration information to complete the logic conversion of the injected function;
the operator management platform is used for providing intelligent operator service for a user; aiming at each set micro service, a user inquires an operator service list of a micro service intelligent information processing frame system, selects an operator required by the set micro service and enters an operator editing interface to edit the selected operator; then, establishing a logical relation between data and operators for the edited and modified selected operators to form an information processing flow of the set micro-service;
the intelligent service platform is used for receiving a micro service request when the micro service intelligent information processing frame system receives the micro service request, wherein the micro service request comprises a request message body and request meta-information, the request meta-information specifies an information processing flow for processing the micro service request, and the request message body is one or more pieces of data with set formats, which are generated by converting data of an external data source through a unified access service unit; analyzing meta information in the micro service request, determining an information processing flow for processing a message body in the micro service request, wherein the information processing flow is of a tree structure, each node corresponds to an operator service, data flow generates corresponding intermediate data through each child node, the operator of each node in the tree structure processes the intermediate data generated by the operator corresponding to the last node, finally, the operator corresponding to the leaf node is reached, and a final data set is generated and returned to a micro service request sender.
6. The microservice-based intelligent information handling framework system of claim 5, wherein the intelligent operator services comprise text-like operator services, image-like operator services, voice-like operator services.
7. The microservice-based intelligent information handling framework system of claim 5, wherein editing operators comprises editing and modifying operator registration information, operator profiles.
8. The microservice-based intelligent information handling framework system of claim 5, wherein configuration information for operators registered within the microservice intelligent information handling framework system comprises: operator name configuration, resource annotation configuration, resource quota, model and mirror configuration, command and parameter configuration, restart policy configuration, authority configuration, environment variable configuration, monitoring check configuration, copy and scheduling configuration.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011061990.1A CN112199075B (en) | 2020-09-30 | 2020-09-30 | Intelligent information processing method and framework system based on micro-service |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011061990.1A CN112199075B (en) | 2020-09-30 | 2020-09-30 | Intelligent information processing method and framework system based on micro-service |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112199075A CN112199075A (en) | 2021-01-08 |
CN112199075B true CN112199075B (en) | 2021-09-21 |
Family
ID=74012879
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011061990.1A Active CN112199075B (en) | 2020-09-30 | 2020-09-30 | Intelligent information processing method and framework system based on micro-service |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112199075B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116560756B (en) * | 2023-07-12 | 2024-04-16 | 鹏城实验室 | Service orchestration method, electronic device, computer-readable storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107526600A (en) * | 2017-09-05 | 2017-12-29 | 成都优易数据有限公司 | A kind of visual numeric simulation analysis platform and its data cleaning method based on hadoop and spark |
CN108055296A (en) * | 2017-11-30 | 2018-05-18 | 北京中电普华信息技术有限公司 | A kind of transaction methods and device based on micro services framework |
CN110022349A (en) * | 2019-01-17 | 2019-07-16 | 重庆邮电大学 | A kind of isomery industrial network device configuration micro services method based on edge calculations |
CN111400000A (en) * | 2020-03-09 | 2020-07-10 | 百度在线网络技术(北京)有限公司 | Network request processing method, device, equipment and storage medium |
CN111488211A (en) * | 2020-04-09 | 2020-08-04 | 北京嘀嘀无限科技发展有限公司 | Task processing method, device, equipment and medium based on deep learning framework |
CN111611239A (en) * | 2020-04-17 | 2020-09-01 | 第四范式(北京)技术有限公司 | Method, device, equipment and storage medium for realizing automatic machine learning |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11063847B2 (en) * | 2018-08-21 | 2021-07-13 | Fujitsu Limited | Service function chain mapping using multiple parallel microservices instances |
-
2020
- 2020-09-30 CN CN202011061990.1A patent/CN112199075B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107526600A (en) * | 2017-09-05 | 2017-12-29 | 成都优易数据有限公司 | A kind of visual numeric simulation analysis platform and its data cleaning method based on hadoop and spark |
CN108055296A (en) * | 2017-11-30 | 2018-05-18 | 北京中电普华信息技术有限公司 | A kind of transaction methods and device based on micro services framework |
CN110022349A (en) * | 2019-01-17 | 2019-07-16 | 重庆邮电大学 | A kind of isomery industrial network device configuration micro services method based on edge calculations |
CN111400000A (en) * | 2020-03-09 | 2020-07-10 | 百度在线网络技术(北京)有限公司 | Network request processing method, device, equipment and storage medium |
CN111488211A (en) * | 2020-04-09 | 2020-08-04 | 北京嘀嘀无限科技发展有限公司 | Task processing method, device, equipment and medium based on deep learning framework |
CN111611239A (en) * | 2020-04-17 | 2020-09-01 | 第四范式(北京)技术有限公司 | Method, device, equipment and storage medium for realizing automatic machine learning |
Also Published As
Publication number | Publication date |
---|---|
CN112199075A (en) | 2021-01-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107918600B (en) | Report development system and method, storage medium and electronic equipment | |
US8712965B2 (en) | Dynamic report mapping apparatus to physical data source when creating report definitions for information technology service management reporting for peruse of report definition transparency and reuse | |
CN106991276B (en) | Data interface dynamic generation method based on openEHR template | |
US20180300125A1 (en) | Analyzing components related to a software application in a software development environment | |
CN109976735A (en) | One kind being based on the visual knowledge mapping algorithm application platform of web | |
CN104899258A (en) | Interactive visualized analysis system structure facing massive document information | |
CN109376153A (en) | System and method for writing data into graph database based on NiFi | |
CN103390018A (en) | Web service data modeling and searching method based on SDD (service data description) | |
CN110889013B (en) | Data association method, device, server and storage medium based on XML | |
CN113962597A (en) | Data analysis method and device, electronic equipment and storage medium | |
CN116244387A (en) | Entity relationship construction method, device, electronic equipment and storage medium | |
CN112199075B (en) | Intelligent information processing method and framework system based on micro-service | |
Tauscher et al. | A modular graph transformation rule set for IFC‐to‐CityGML conversion | |
CN117539433B (en) | Microservice design method based on model driven architecture | |
WO2005010749A2 (en) | Designing computer programs | |
CN111949915A (en) | Visual customization method and system for production process of remote sensing product | |
CN115543428A (en) | Simulated data generation method and device based on strategy template | |
Shahin et al. | Rationale visualization of software architectural design decision using compendium | |
CN114064980A (en) | Integration system and method of multi-source heterogeneous data | |
JP2023504637A (en) | Systems and methods for ETL pipelining | |
CN202584128U (en) | Modifying and managing system of knowledge base of IT (Information Technology) operation and maintenance system | |
Maruna et al. | The business process transformation framework implementation through metamodel extension | |
Shan et al. | Software system evolution analysis method based on algebraic topology | |
CN118297148B (en) | Cross-angle correlation processing method and system for architecture design model | |
Coetzee et al. | Towards unified secure on-and off-line analytics at scale |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |