CN112165392A - Large-scale user network behavior simulation construction system and working method thereof - Google Patents
Large-scale user network behavior simulation construction system and working method thereof Download PDFInfo
- Publication number
- CN112165392A CN112165392A CN202010841777.6A CN202010841777A CN112165392A CN 112165392 A CN112165392 A CN 112165392A CN 202010841777 A CN202010841777 A CN 202010841777A CN 112165392 A CN112165392 A CN 112165392A
- Authority
- CN
- China
- Prior art keywords
- user
- simulation
- behavior
- container
- scale
- 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.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a large-scale user network behavior simulation construction system and a working method thereof, wherein the large-scale user network behavior simulation construction system comprises a user behavior simulation containerization unit, a cross-host network communication unit and a large-scale user simulation behavior deployment unit; the user behavior simulation containerization unit containerizes the user network behavior to realize the simulation of the user network behavior; the cross-host network communication unit is used for building an interconnection network of cross-host network communication to realize container intercommunication; the large-scale deployment user simulation behavior unit is used for realizing large-scale automatic deployment of the container in the docker of a single host. The method has large-scale environmental support for the generation of the user behavior simulation, and improves the accuracy of the behavior simulation; the method can realize the intercommunication operation between the container network communication and the container across the host; the large-scale container deployment of the single machine can be realized, and the resource utilization rate of the server is improved.
Description
Technical Field
The invention relates to a large-scale user network behavior simulation construction system and a working method thereof, belonging to the technical field of user behavior simulation.
Background
With the continuous development of networks, the number of network applications is increasing, and the corresponding network behavior of users is changing. The existing behavior simulation is mainly divided into two methods, one is to realize the simulation of a certain specific function by writing a script, thereby realizing a series of network operations; the other method is to analyze the operation habits of the user and the like to generate the operation sequence of the user and realize various behavior simulations of the user.
Because the generation cost of the existing behavior simulation method is relatively high, large-scale deployment behavior simulation is realized, resources occupied by a host are relatively high, and with the development of virtualization technology, the large-scale behavior simulation construction is improved due to the rise of containers and virtual machines, wherein the containerization of docker becomes one of the mainstream modes of construction and application at present.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a large-scale user network behavior simulation construction system;
the invention also provides a working method of the large-scale user network behavior simulation construction system;
the invention uses docker to construct a series of network behavior and user operation behavior simulation containers, thereby realizing large-scale behavior simulation deployment. The method can construct a container for behavior simulation on the basis of the internet, and can break through the limitation of the number of containers of a single host in a cross-host mode to achieve the maximum resource utilization.
The invention provides a construction method of large-scale behavior simulation. The method can use the docker to construct a specific container simulating user behaviors, such as initiating browser access, file copying, protocol detection and the like, configure the docker container through a special network, realize cross-host network communication, and realize large-scale container deployment on a single host on the basis of meeting the requirement of cross-host communication. The construction method finally realizes the large-scale deployment of the user network behavior simulation.
Interpretation of terms:
a docker composition, which is a tool for defining and running a multi-container docker application, through which all services related to the application can be configured using yml files, and then a corresponding container is created through a composition command.
The technical scheme of the invention is as follows:
a large-scale user network behavior simulation construction system comprises a user behavior simulation containerization unit, a cross-host network communication unit and a large-scale deployment user simulation behavior unit;
the user behavior simulation containerization unit is used for: and containerizing the user network behaviors to realize the simulation of the user network behaviors. According to various network behaviors of users using computers in daily life, behavior simulation is realized in a programmed mode, and the behavior simulation programs are containerized to construct an independent container capable of completing a series of network behaviors. The user network behaviors comprise web site access (http, https), file copying, file transmission, mail sending and various underlying network protocol behaviors;
the cross-host network communication unit is to: an internetwork is built that communicates across a host network. The deployment mode of the docker can be realized by adopting a mode of simultaneously building a plurality of hosts, when a container of user simulation behaviors is deployed, the condition of mutual communication among the containers can occur, and the unit uses a special network to build an interconnection network capable of carrying out cross-host network communication, so that interconnection of the containers is supported, and finally, the cross-host intercommunication of the containers is realized;
the large-scale deployment user simulation behavior unit is used for realizing large-scale automatic deployment of the container in the docker of a single host. When user behaviors are simulated, large-scale simulation operation is needed, which needs to realize large-scale deployment of containers in a docker of a single host, wherein cross-host interconnection is realized in the second part, so that large-scale automatic deployment of the containers only needs to be carried out on a single machine.
According to the optimization of the invention, the user behavior simulation containerization unit comprises a Dockerfile file storage calling module, a behavior simulation script storage calling module, a behavior simulation mirror image storage calling module and a log recording module; as shown in fig. 1.
Firstly, selecting a corresponding behavior simulation container type by a user according to user behaviors which need to be simulated actually; such as: the web site accesses the behavior simulation container, the mail sending behavior simulation container, and the like.
Then, a large-scale deployment interface of the docker container calls a user behavior simulation containerization unit to acquire a docker mirror image used for generating the container according to the behavior simulation container type selected by the user, and the acquiring of the docker mirror image comprises two methods: one method is to call the existing mirror image, the docker mirror image used for generating the container is manufactured in advance and stored, and the mirror image is directly obtained by a calling behavior simulation mirror image storage calling module; another method is to create a new mirror image, pull a basic environment (such as a Python environment, a Java environment and the like) required by a simulation behavior from a specific basic mirror image (such as a centros mirror image, a Ubuntu mirror image and the like) through a Dockerfile file storage and calling module, acquire an application program of a user simulation behavior through a behavior simulation script storage and calling module, add the application program and a start command, complete the creation of the mirror image, and simultaneously, the acquisition process of the mirror image is recorded in detail by a log recording module;
and finally, displaying the specific function of the behavior simulation container to the user through the interface, analyzing the specific simulation process through the behavior simulation container log acquisition module and displaying.
The cross-host network communication unit is a pure three-layer network, as shown in fig. 2. The information of each network segment in the network is stored by the etcd without creating a network bridge, the network segment information is written into a host machine as a route, and then a pair of veth _ calls are created, wherein one veth _ call is stored in the network space of the container, and the other veth _ call becomes a virtual network card of the host machine and is added into a routing table of the host machine, so that container communication of different host machines is opened.
Preferably, according to the present invention, the large-scale deployment of the user simulation behavior unit refers to: realizing large-scale automatic deployment of the container in a docker of a single host through docker composition;
firstly, a user determines the quantity and distribution of different types of required behavior simulation containers according to actual needs, configures the behavior simulation containers through a control module, and selects a used network;
and then, the docker container large-scale deployment interface calls a large-scale deployment user simulation behavior unit to generate the required number of behavior simulation containers. The large-scale deployment user simulation behavior unit simulates containers according to various types of behaviors selected by users, uses the docker mirror image which is acquired by the user behavior simulation containerization unit and used for generating the containers, compiles a docker composition container arrangement file according to parameters such as the set quantity, network configuration and the like, and performs automatic deployment to generate a required behavior simulation environment.
And finally, displaying the network topology of the generated behavior simulation environment, the quantity, the distribution and other detailed information of each simulation container to a user through an interface.
The working method of the large-scale user network behavior simulation construction system comprises the following steps:
(1) the control module provides a dragging function for a user to select and configure a required behavior simulation environment, and calls a docker container large-scale deployment interface to deploy;
(2) a large-scale deployment interface of the docker container calls the user behavior simulation containerization unit to obtain a docker mirror image used for generating a container required by a user;
(3) the large-scale deployment interface of the docker container calls the cross-host network communication unit to build an internet of the cross-host network communication;
(4) a large-scale deployment interface of the docker container calls the large-scale deployment user simulation behavior unit to generate required containers in batches;
(5) the presentation interface presents the user with detailed information of the finally generated behavioral simulation environment.
The invention has the beneficial effects that:
1. the method has large-scale environmental support for the generation of user behavior simulation, avoids the specificity of behavior simulation by constructing a large number of behavior simulation containers, and further improves the accuracy of behavior simulation;
2. the invention can realize the intercommunication operation between the container network communication and the container of the cross-host;
3. the invention can realize the large-scale container deployment of a single machine, improve the resource utilization rate of the server and lead the single server to break through the quantity limit of 2000 interconnected containers;
4. the invention can provide a method for generating the user simulation behavior test in a large scale for units such as network shooting ranges, governments, scientific research institutions and the like, can improve the accuracy and stability of user behavior simulation to a great extent, and can provide corresponding pressure test so as to find errors, thereby having wide application prospect.
Drawings
FIG. 1 is a schematic diagram of a structural framework of a user behavior simulation containerization unit;
FIG. 2 is a schematic diagram of a structural frame of a communication unit across a host network;
FIG. 3 is a logic diagram of implementation of docker composition automation deployment.
Detailed Description
The invention is further defined in the following, but not limited to, the figures and examples in the description.
Example 1
A large-scale user network behavior simulation construction system comprises a user behavior simulation containerization unit, a cross-host network communication unit and a large-scale deployment user simulation behavior unit;
the user behavior simulation containerization unit is used for: and containerizing the user network behaviors to realize the simulation of the user network behaviors. According to various network behaviors of users using computers in daily life, behavior simulation is realized in a programmed mode, and the behavior simulation programs are containerized to construct an independent container capable of completing a series of network behaviors. The user network behaviors comprise web site access (http, https), file copying, file transmission, mail sending and various underlying network protocol behaviors;
the cross-host network communication unit is to: an internetwork is built that communicates across a host network. The deployment mode of the docker can be realized by adopting a mode of simultaneously building a plurality of hosts, when a container of user simulation behaviors is deployed, the condition of mutual communication among the containers can occur, and the unit uses a special network to build an interconnection network capable of carrying out cross-host network communication, so that interconnection of the containers is supported, and finally, the cross-host intercommunication of the containers is realized;
the large-scale deployment user simulation behavior unit is used for realizing large-scale automatic deployment of the container in the docker of a single host. When user behaviors are simulated, large-scale simulation operation is needed, which needs to realize large-scale deployment of containers in a docker of a single host, wherein cross-host interconnection is realized in the second part, so that large-scale automatic deployment of the containers only needs to be carried out on a single machine.
Example 2
The system for modeling and constructing the behavior of the large-scale user network according to the embodiment 1 is characterized in that:
the user behavior simulation containerization unit comprises a Dockerfile file storage calling module, a behavior simulation script storage calling module, a behavior simulation mirror image storage calling module and a log recording module; as shown in fig. 1.
Firstly, selecting a corresponding behavior simulation container type by a user according to user behaviors which need to be simulated actually; such as: the web site accesses the behavior simulation container, the mail sending behavior simulation container, and the like.
Then, a large-scale deployment interface of the docker container calls a user behavior simulation containerization unit to acquire a docker mirror image used for generating the container according to the behavior simulation container type selected by the user, and the acquiring of the docker mirror image comprises two methods: one method is to call the existing mirror image, the docker mirror image used for generating the container is manufactured in advance and stored, and the mirror image is directly obtained by a calling behavior simulation mirror image storage calling module; another method is to create a new mirror image, pull a basic environment (such as a Python environment, a Java environment and the like) required by a simulation behavior from a specific basic mirror image (such as a centros mirror image, a Ubuntu mirror image and the like) through a Dockerfile file storage and calling module, acquire an application program of a user simulation behavior through a behavior simulation script storage and calling module, add the application program and a start command, complete the creation of the mirror image, and simultaneously, the acquisition process of the mirror image is recorded in detail by a log recording module;
and finally, displaying the specific function of the behavior simulation container to the user through the interface, analyzing the specific simulation process through the behavior simulation container log acquisition module and displaying.
The cross-host network communication unit is a pure three-layer network, as shown in fig. 2. The information of each network segment in the network is stored by the etcd without creating a network bridge, the network segment information is written into a host machine as a route, and then a pair of veth _ calls are created, wherein one veth _ call is stored in the network space of the container, and the other veth _ call becomes a virtual network card of the host machine and is added into a routing table of the host machine, so that container communication of different host machines is opened.
Example 3
The system for modeling and constructing the behavior of the large-scale user network according to the embodiment 1 is characterized in that:
the large-scale deployment of the user simulation behavior unit refers to: realizing large-scale automatic deployment of the container in a docker of a single host through docker composition; as shown in fig. 3.
Firstly, a user determines the quantity and distribution of different types of required behavior simulation containers according to actual needs, configures the behavior simulation containers through a control module, and selects a used network;
and then, the docker container large-scale deployment interface calls a large-scale deployment user simulation behavior unit to generate the required number of behavior simulation containers. The large-scale deployment user simulation behavior unit simulates containers according to various types of behaviors selected by users, uses the docker mirror image which is acquired by the user behavior simulation containerization unit and used for generating the containers, compiles a docker composition container arrangement file according to parameters such as the set quantity, network configuration and the like, and performs automatic deployment to generate a required behavior simulation environment.
And finally, displaying the network topology of the generated behavior simulation environment, the quantity, the distribution and other detailed information of each simulation container to a user through an interface.
Example 4
The working method of the large-scale user network behavior simulation construction system according to any one of embodiments 1 to 3 includes the steps of:
(1) the control module provides a dragging function for a user to select and configure a required behavior simulation environment, and calls a docker container large-scale deployment interface to deploy;
(2) a large-scale deployment interface of the docker container calls the user behavior simulation containerization unit to obtain a docker mirror image used for generating a container required by a user;
(3) the large-scale deployment interface of the docker container calls the cross-host network communication unit to build an internet of the cross-host network communication;
(4) a large-scale deployment interface of the docker container calls the large-scale deployment user simulation behavior unit to generate required containers in batches;
(5) the presentation interface presents the user with detailed information of the finally generated behavioral simulation environment.
Claims (4)
1. A large-scale user network behavior simulation construction system is characterized by comprising a user behavior simulation containerization unit, a cross-host network communication unit and a large-scale deployment user simulation behavior unit;
the user behavior simulation containerization unit is used for: containerizing the user network behaviors to realize the simulation of the user network behaviors; the user network behaviors comprise web website access, file copying, file transmission, mail sending and various underlying network protocol behaviors;
the cross-host network communication unit is to: constructing an interconnection network for cross-host network communication to realize the cross-host intercommunication of the container;
the large-scale deployment user simulation behavior unit is used for realizing large-scale automatic deployment of the container in the docker of a single host.
2. The large-scale user network behavior simulation construction system according to claim 1, wherein the user behavior simulation containerization unit comprises a Dockerfile file storage calling module, a behavior simulation script storage calling module, a behavior simulation image storage calling module, and a log recording module;
firstly, selecting a corresponding behavior simulation container type by a user according to user behaviors which need to be simulated actually;
then, a large-scale deployment interface of the docker container calls a user behavior simulation containerization unit to acquire a docker mirror image used for generating the container according to the behavior simulation container type selected by the user, and the acquiring of the docker mirror image comprises two methods: one method is to call the existing mirror image, the docker mirror image used for generating the container is manufactured in advance and stored, and the mirror image is directly obtained by a calling behavior simulation mirror image storage calling module; the other method is to create a new mirror image, pull a basic environment required by the simulation behavior from a specific basic mirror image through a Dockerfile file storage and calling module, acquire an application program of the user simulation behavior through a behavior simulation script storage and calling module, add the application program and a start command to complete the creation of the mirror image, and simultaneously, the acquisition process of the mirror image is recorded in detail through a log recording module;
and finally, displaying the specific function of the behavior simulation container to the user through the interface, analyzing the specific simulation process through the behavior simulation container log acquisition module and displaying.
3. The system according to claim 1, wherein the large-scale deployment user simulation behavior unit is: realizing large-scale automatic deployment of the container in a docker of a single host through docker composition;
firstly, determining the quantity and distribution of different types of required behavior simulation containers by a user according to actual needs, configuring the behavior simulation containers, and selecting a used network;
then, the large-scale deployment interface of the docker container calls a large-scale deployment user simulation behavior unit to generate a required number of behavior simulation containers, the large-scale deployment user simulation behavior unit simulates containers according to various types of behaviors selected by users, and a docker mirror image which is acquired by the user behavior simulation containerization unit and used for generating the containers is used for compiling docker composition container arrangement files and carrying out automatic deployment to generate a required behavior simulation environment;
and finally, displaying the network topology of the generated behavior simulation environment, the quantity and the distribution of each simulation container to a user through an interface.
4. A method of operating a large scale user network behaviour simulation building system according to any one of claims 1 to 3, comprising the steps of:
(1) a user selects and configures a required behavior simulation environment, and calls a docker container large-scale deployment interface to deploy;
(2) a large-scale deployment interface of the docker container calls the user behavior simulation containerization unit to obtain a docker mirror image used for generating a container required by a user;
(3) the large-scale deployment interface of the docker container calls the cross-host network communication unit to build an internet of the cross-host network communication;
(4) a large-scale deployment interface of the docker container calls the large-scale deployment user simulation behavior unit to generate required containers in batches;
(5) the presentation interface presents the user with detailed information of the finally generated behavioral simulation environment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010841777.6A CN112165392A (en) | 2020-08-20 | 2020-08-20 | Large-scale user network behavior simulation construction system and working method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010841777.6A CN112165392A (en) | 2020-08-20 | 2020-08-20 | Large-scale user network behavior simulation construction system and working method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112165392A true CN112165392A (en) | 2021-01-01 |
Family
ID=73859653
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010841777.6A Pending CN112165392A (en) | 2020-08-20 | 2020-08-20 | Large-scale user network behavior simulation construction system and working method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112165392A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108471420A (en) * | 2018-03-29 | 2018-08-31 | 上交所技术有限责任公司 | Based on network mode identification and matched vessel safety defence method and device |
| CN109656686A (en) * | 2018-12-17 | 2019-04-19 | 武汉烽火信息集成技术有限公司 | The upper deployment container cloud method of OpenStack, storage medium, electronic equipment and system |
| US20190253452A1 (en) * | 2018-02-14 | 2019-08-15 | Cisco Technology, Inc. | Adaptive union file system based protection of services |
| US20190273655A1 (en) * | 2018-03-01 | 2019-09-05 | Red Hat, Inc. | Configuration of computing devices via containers |
| CN110311901A (en) * | 2019-06-21 | 2019-10-08 | 南京尓嘉网络科技有限公司 | A kind of lightweight network sandbox setting method based on container technique |
| CN110572484A (en) * | 2019-11-08 | 2019-12-13 | 浩鲸云计算科技股份有限公司 | container-based production environment simulation method |
-
2020
- 2020-08-20 CN CN202010841777.6A patent/CN112165392A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190253452A1 (en) * | 2018-02-14 | 2019-08-15 | Cisco Technology, Inc. | Adaptive union file system based protection of services |
| US20190273655A1 (en) * | 2018-03-01 | 2019-09-05 | Red Hat, Inc. | Configuration of computing devices via containers |
| CN108471420A (en) * | 2018-03-29 | 2018-08-31 | 上交所技术有限责任公司 | Based on network mode identification and matched vessel safety defence method and device |
| CN109656686A (en) * | 2018-12-17 | 2019-04-19 | 武汉烽火信息集成技术有限公司 | The upper deployment container cloud method of OpenStack, storage medium, electronic equipment and system |
| CN110311901A (en) * | 2019-06-21 | 2019-10-08 | 南京尓嘉网络科技有限公司 | A kind of lightweight network sandbox setting method based on container technique |
| CN110572484A (en) * | 2019-11-08 | 2019-12-13 | 浩鲸云计算科技股份有限公司 | container-based production environment simulation method |
Non-Patent Citations (1)
| Title |
|---|
| 尹高: "《基于 Docker 的服务器运维平台的设计与实现》", 《中国优秀硕士学位论文全文数据库》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104520814B (en) | System and method for configuring cloud computing systems | |
| US10761873B2 (en) | Evaluating distributed application performance in a new environment | |
| Werner-Allen et al. | Motelab: A wireless sensor network testbed | |
| CN103955373B (en) | A kind of method for designing of SDN application integration development environment | |
| CN108427631A (en) | A kind of application test systems, method, electronic equipment and readable storage medium storing program for executing | |
| JP4746091B2 (en) | Network design processing apparatus, network design processing method, and network design processing program | |
| CN108737168B (en) | Container-based micro-service architecture application automatic construction method | |
| De Farias et al. | COMFIT: A development environment for the Internet of Things | |
| CN109768892B (en) | Micro-service network security experiment system | |
| CN103248535A (en) | Cloud system testing method and device | |
| CN110071822B (en) | Testing device and testing method for 5G core network infrastructure | |
| CN109213498A (en) | A kind of configuration method and server of internet web front-end | |
| CN113721901A (en) | Low-code financial data analysis visualization engine | |
| CN103051496A (en) | Monitoring method and device of monitoring point server | |
| CN110162464A (en) | Mcok test method and system, electronic equipment and readable storage medium storing program for executing | |
| CN113626128B (en) | Audio-visual media micro-service third-party module access method, system and electronic equipment | |
| CN110362363A (en) | A method of model realization controls terminal applies when based on operation | |
| CN110188043A (en) | A kind of method and control equipment of the test of control multiple devices | |
| Beilharz et al. | Continuously testing distributed iot systems: An overview of the state of the art | |
| Brabra et al. | Model-driven elasticity for cloud resources | |
| CN108021431A (en) | Method and its system based on web data interactive maintenance Hive | |
| CN112165392A (en) | Large-scale user network behavior simulation construction system and working method thereof | |
| CN107749814A (en) | Running state data update method, device and the terminal of equipment | |
| CN111130852A (en) | Cloud application network automatic deployment method based on Docker | |
| CN101976196A (en) | Quality of service oriented code automatic code generating method |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210101 |