CN112769923A - Method, device and storage medium for monitoring network equipment performance index in big data scene - Google Patents

Method, device and storage medium for monitoring network equipment performance index in big data scene Download PDF

Info

Publication number
CN112769923A
CN112769923A CN202011630850.1A CN202011630850A CN112769923A CN 112769923 A CN112769923 A CN 112769923A CN 202011630850 A CN202011630850 A CN 202011630850A CN 112769923 A CN112769923 A CN 112769923A
Authority
CN
China
Prior art keywords
interface
snmp
oid
request
monitoring
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
Application number
CN202011630850.1A
Other languages
Chinese (zh)
Inventor
童跃
李旭波
李韬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Kelai Network Technology Co Ltd
Original Assignee
Chengdu Kelai Network Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chengdu Kelai Network Technology Co Ltd filed Critical Chengdu Kelai Network Technology Co Ltd
Priority to CN202011630850.1A priority Critical patent/CN112769923A/en
Publication of CN112769923A publication Critical patent/CN112769923A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/02Standardisation; Integration
    • H04L41/0213Standardised network management protocols, e.g. simple network management protocol [SNMP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • H04L41/0823Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/14Session management
    • H04L67/146Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention provides a method, a device and a storage medium for monitoring network equipment performance indexes in a big data scene, wherein the method comprises the following steps: s1, configuring the network device and obtaining the interface OID of the interface mark; s2, sending the SNMP-WALK request and taking the request to the interface identifier set; s3, splicing the interface OID and the interface identifier in the interface identifier set to obtain a new interface OID; s4, configuring the quantity M of new interface OIDs carried by the SNMP-GET request once, and calculating the sending times N of the SNMP-GET request; s5, sending the SNMP-GET request for N times; and S6, combining the results of the N SNMP-GET requests to obtain the performance index of the network equipment. The method for monitoring the performance index of the network equipment can reduce the total request times, thereby improving the efficiency of monitoring the network equipment.

Description

Method, device and storage medium for monitoring network equipment performance index in big data scene
Technical Field
The invention relates to the technical field of network management, in particular to a method and a device for monitoring network equipment performance indexes in a big data scene and a storage medium.
Background
As is known, a network device must communicate via a network card, and a machine usually has many network cards. Generally, the indexes such as the memory utilization rate and the CPU utilization rate are stated, and are definitely based on the network equipment; for the network communication indexes such as the accumulated sending byte number, because the communication passes through the network card, the accumulated sending byte number of each network card interface is not the same, and the indexes are based on the interfaces. There are many ways to monitor these parameters of a network device, such as analyzing traffic, bit rate, retransmission rate, etc. by packet capture. But if the required index is simpler and the accuracy is not so high, SNMP is also an option.
The SNMP is called Simply Network Management Protocol (SNMP) Protocol, and when an SNMP service is running on a managed Network device, a user can obtain some Network parameters of the managed Network device through the SNMP Protocol. These fall into two categories: parameters of the network device and parameters of the network card interface. Parameters of the network device such as device name, device interface number, user CPU percentage, etc. related to the device; the parameters of the network card interface, such as the number of cumulative transmitted bytes, the number of cumulative transmitted packets, the number of cumulative received bytes, and the like, are related to the specific interface. And we can get the corresponding OID value of all interfaces under the network device by holding one network interface OID.
When the data volume is not large, the solution has no problem, given OID, and traversing and acquiring the values of the corresponding OID of all network card interfaces under the network equipment, so as to complete the monitoring of the performance index of the network equipment. However, in the case of a large data volume such as a large data scene, this matter becomes complicated and unreliable.
For example, if we configure 200 switches, each switch has 200 ports (interfaces) on average, each device needs to query the performance index of 10 interface classes at a time, and the user wants to complete the query of data every 10 s. Through packet-grabbing discovery, the nature of a WALK request is a collection of numerous GET-NEXT requests. The essence of the GET-NEXT request is to splice the OID of the WALK request in turn with each interface identification ID (unique value, and corresponding OID can be queried) of the network device. So within these 10s there is a need to send: 200 (devices) × 10 (WALK index) × 200 (interfaces) × 400000, and 40w requests are required to be sent in total, and it is known that one network request is the application and closing of system resources, and the performance is relatively high. Therefore, the current solution for monitoring the performance index of the network equipment is not suitable for a big data scene.
Disclosure of Invention
The invention aims to provide a method, a device and a storage medium for monitoring network equipment performance indexes in a big data scene, so as to solve the problem that the current solution for monitoring the network equipment performance indexes is not suitable for the big data scene.
The invention provides a method for monitoring network equipment performance indexes in a big data scene, which comprises the following steps:
s1, configuring the network device and obtaining the interface OID of the interface mark;
s2, sending the SNMP-WALK request based on the interface OID of the acquired interface identifier, and taking the SNMP-WALK request to the interface identifier set;
s3, configuring other interfaces OID, and obtaining a new interface OID by splicing the interface OID and the interface identifier in the interface identifier set;
s4, configuring the quantity M of new interfaces OID carried by one SNMP-GET request, and calculating the sending times N of the SNMP-GET request according to the quantity M of the new interfaces OID carried by one SNMP-GET request and the quantity of the interface identifiers in the interface identifier set;
s5, sending SNMP-GET requests for N times, wherein each SNMP-GET request carries M new interface OIDs;
and S6, combining the results of the N SNMP-GET requests to obtain the performance index of the network equipment.
Further, after step S2 is executed, it is determined whether the interface identifier set is taken, if so, step S3 is executed, otherwise, the process is directly ended.
Further, in step S4, the one SNMP-GET request may carry the new interface OID number M, and be configured dynamically according to the current operating load.
Further, the method for configuring the number M of portable new interface OIDs for the SNMP-GET request in step S4 includes: and configuring a SNMP-GET request once through the form to carry the quantity M of the new interface OIDs, and storing the configuration result into a database in a persistent mode.
Further, N ═ L/M, where L denotes the number of interface identifiers in the interface identifier set.
The invention also provides a storage medium, wherein the storage medium is stored with a computer program, and the computer program executes the method for monitoring the performance index of the network equipment under the big data scene when running.
The invention also provides a device for monitoring the performance index of the network equipment in the big data scene, which comprises the following components:
a storage medium for storing a computer program;
a processor for running the computer program; and the computer program executes the method for monitoring the performance index of the network equipment in the big data scene during running.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. the method for monitoring the performance index of the network equipment can reduce the total request times, thereby improving the efficiency of monitoring the network equipment and being suitable for big data scenes.
2. The method for monitoring the performance index of the network equipment allows a user to configure the quantity M of portable new interface OIDs by one SNMP-GET request according to the actual situation, and can adapt to different operating environments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a method for monitoring a performance index of a network device in a big data scenario according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
As shown in fig. 1, the method for monitoring a performance index of a network device in a big data scenario provided in this embodiment includes the following steps:
s1, configuring the network device and obtaining the interface OID of the interface mark;
the interface id must be acquired by relying on the corresponding interface OID for acquiring the interface id, so that the interface OID for acquiring the interface id needs to be configured first, and in the OID of the SNMP network management protocol, the interface OID for acquiring the interface id is "1.3.6.1.2.1.2.2.1.1".
S2, sending the SNMP-WALK request based on the interface OID of the acquired interface identifier, and taking the SNMP-WALK request to the interface identifier set;
namely, the interface OID for acquiring the interface identifier is "1.3.6.1.2.1.2.2.1.1", and the interface identifier set can be obtained through the SNMP-WALK request, which includes the interface identifiers of all network interfaces on the network device.
S3, configuring other interfaces OID, and obtaining a new interface OID by splicing the interface OID and the interface identifier in the interface identifier set;
in this embodiment, the interface OID and the interface identifier in the interface identifier set are spliced by using characters to obtain a new interface OID, and the spliced new interface OID is represented as "original interface OID + character + interface representation". For example, the interface OID of the acquired interface identifier is "1.3.6.1.2.1.2.2.1.1", where the numbers are connected by a character ". multidot.", if the interface identifier of one network interface is 1, the character ". multidot." is used to splice the interface OID of the acquired interface identifier and the interface identifier of the network interface, and the obtained new interface OID is "1.3.6.1.2.1.2.2.1.1.1".
S4, configuring the quantity M of new interfaces OID carried by one SNMP-GET request, and calculating the sending times N of the SNMP-GET request according to the quantity M of the new interfaces OID carried by one SNMP-GET request and the quantity of the interface identifiers in the interface identifier set; wherein, N is L/M, and L represents the number of interface identifiers in the interface identifier set;
the method for configuring the quantity M of the portable new interfaces OID of the SNMP-GET request at one time comprises the following steps: and configuring a SNMP-GET request once through the form to carry the quantity M of the new interface OIDs, and storing the configuration result into a database in a persistent mode. By means of the mode of storing the new OID into the database in a persistent mode, the new OID can be conveniently and directly extracted from the database when the SNMP-GET request is sent subsequently.
Through the step S4, the invention is found that the former SNMP-WALK request carrying one OID is improved into the SNMP-GET request carrying M new interface OIDs, thereby reducing the total request times, improving the efficiency of monitoring the network equipment and being suitable for large data scenes.
In order to adapt to different operating environments, the present embodiment allows a user to configure a new interface OID number M that can be carried by an SNMP-GET request according to an actual situation, that is, the new interface OID number M that can be carried by the SNMP-GET request in one time is dynamically configured according to a current operating load in the present embodiment.
S5, sending the SNMP-GET request for N times; as can be seen from the foregoing, each SNMP-GET request carries M new interface OIDs; note that N is L/M, which is not necessarily evenly divided by the calculation in step S4, and therefore the number of new interface OIDs carried by the last SNMP-GET request sent is the remainder of N being L/M.
And S6, combining the results of the N SNMP-GET requests to obtain the performance index of the network equipment.
The method for monitoring the performance index of the network equipment in the big data scene can improve the monitoring efficiency of the network equipment by tens of times through actual tests in a client field environment, so that the method is suitable for the big data scene, and the specific efficiency improvement multiple depends on the number M of new interfaces carried by one configured SNMP-GET request.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In view of the above, the present embodiment also provides a storage medium, where a computer program is stored on the storage medium, and the computer program executes the method for monitoring the performance index of the network device in the big data scenario when running.
From above, this embodiment also provides a device for monitoring performance index of network equipment in a big data scene, including:
a storage medium for storing a computer program;
a processor for running the computer program; and the computer program executes the method for monitoring the performance index of the network equipment in the big data scene during running.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. A method for monitoring network equipment performance indexes in a big data scene is characterized by comprising the following steps:
s1, configuring the network device and obtaining the interface OID of the interface mark;
s2, sending the SNMP-WALK request based on the interface OID of the acquired interface identifier, and taking the SNMP-WALK request to the interface identifier set;
s3, configuring other interfaces OID, and obtaining a new interface OID by splicing the interface OID and the interface identifier in the interface identifier set;
s4, configuring the quantity M of new interfaces OID carried by one SNMP-GET request, and calculating the sending times N of the SNMP-GET request according to the quantity M of the new interfaces OID carried by one SNMP-GET request and the quantity of the interface identifiers in the interface identifier set;
s5, sending SNMP-GET requests for N times, wherein each SNMP-GET request carries M new interface OIDs;
and S6, combining the results of the N SNMP-GET requests to obtain the performance index of the network equipment.
2. The method of claim 1, wherein after step S2, it is determined whether an interface identifier set is taken, if so, step S3 is performed, otherwise, the process is terminated directly.
3. The method for monitoring performance index of network device in big data scenario according to claim 1, wherein in step S4, the one SNMP-GET request can carry new interface OID number M configured dynamically according to current operation load.
4. The method for monitoring performance index of network device in big data scenario according to claim 1, wherein the method for configuring the number M of new interfaces OID that can be carried by one SNMP-GET request in step S4 includes: and configuring a SNMP-GET request once through the form to carry the quantity M of the new interface OIDs, and storing the configuration result into a database in a persistent mode.
5. The method for monitoring the performance index of the network device in the big data scenario according to claim 1, wherein N is L/M, where L represents the number of interface identifiers in the interface identifier set.
6. A storage medium, wherein the storage medium has stored thereon a computer program, and the computer program is executed to perform the method for monitoring the performance index of the network device in the big data scenario according to any one of claims 1 to 5.
7. A device for monitoring network equipment performance index under big data scene is characterized by comprising:
a storage medium for storing a computer program;
a processor for running the computer program; the computer program is executed to perform the method for monitoring the performance index of the network equipment in the big data scene according to any one of claims 1 to 5.
CN202011630850.1A 2020-12-31 2020-12-31 Method, device and storage medium for monitoring network equipment performance index in big data scene Pending CN112769923A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011630850.1A CN112769923A (en) 2020-12-31 2020-12-31 Method, device and storage medium for monitoring network equipment performance index in big data scene

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011630850.1A CN112769923A (en) 2020-12-31 2020-12-31 Method, device and storage medium for monitoring network equipment performance index in big data scene

Publications (1)

Publication Number Publication Date
CN112769923A true CN112769923A (en) 2021-05-07

Family

ID=75699576

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011630850.1A Pending CN112769923A (en) 2020-12-31 2020-12-31 Method, device and storage medium for monitoring network equipment performance index in big data scene

Country Status (1)

Country Link
CN (1) CN112769923A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115361319A (en) * 2022-10-20 2022-11-18 科来网络技术股份有限公司 SNMP-based network equipment performance analysis method, device and equipment

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101227348A (en) * 2008-02-02 2008-07-23 杭州华三通信技术有限公司 Server and method for collecting performance statistics data of network equipment
JP2011041234A (en) * 2009-08-18 2011-02-24 Nippon Telegr & Teleph Corp <Ntt> Traffic information collection device, traffic information collection method, and program therefor
US20120215906A1 (en) * 2011-02-22 2012-08-23 Kaseya International Limited Method and apparatus of matching monitoring sets to network devices
US20150324465A1 (en) * 2014-05-07 2015-11-12 Labtech Llc Systems and methods for discovering and monitoring devices using search patterns for object identifiers and values
WO2015184886A1 (en) * 2014-07-25 2015-12-10 中兴通讯股份有限公司 Method and device for sending batch data acquisition request
CN105512134A (en) * 2014-09-25 2016-04-20 中兴通讯股份有限公司 Method and system for querying data based on SNMP protocol
US20170286011A1 (en) * 2016-04-05 2017-10-05 International Business Machines Corporation Monitoring storage systems
US20180240022A1 (en) * 2017-02-23 2018-08-23 Kabushiki Kaisha Toshiba System and method for predictive oid field identification
CN108880867A (en) * 2018-05-31 2018-11-23 腾讯科技(深圳)有限公司 A kind of network equipment collecting method and system
US20180367407A1 (en) * 2017-06-20 2018-12-20 Microsoft Technology Licensing, Llc Standardization of network management across cloud computing environments and data control policies
CN111585963A (en) * 2020-04-08 2020-08-25 深圳震有科技股份有限公司 Data acquisition method, system and storage medium
CN112152824A (en) * 2019-06-26 2020-12-29 北京神州泰岳软件股份有限公司 Performance index data acquisition method and device

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101227348A (en) * 2008-02-02 2008-07-23 杭州华三通信技术有限公司 Server and method for collecting performance statistics data of network equipment
JP2011041234A (en) * 2009-08-18 2011-02-24 Nippon Telegr & Teleph Corp <Ntt> Traffic information collection device, traffic information collection method, and program therefor
US20120215906A1 (en) * 2011-02-22 2012-08-23 Kaseya International Limited Method and apparatus of matching monitoring sets to network devices
US20150324465A1 (en) * 2014-05-07 2015-11-12 Labtech Llc Systems and methods for discovering and monitoring devices using search patterns for object identifiers and values
WO2015184886A1 (en) * 2014-07-25 2015-12-10 中兴通讯股份有限公司 Method and device for sending batch data acquisition request
CN105512134A (en) * 2014-09-25 2016-04-20 中兴通讯股份有限公司 Method and system for querying data based on SNMP protocol
US20170286011A1 (en) * 2016-04-05 2017-10-05 International Business Machines Corporation Monitoring storage systems
US20180240022A1 (en) * 2017-02-23 2018-08-23 Kabushiki Kaisha Toshiba System and method for predictive oid field identification
US20180367407A1 (en) * 2017-06-20 2018-12-20 Microsoft Technology Licensing, Llc Standardization of network management across cloud computing environments and data control policies
CN108880867A (en) * 2018-05-31 2018-11-23 腾讯科技(深圳)有限公司 A kind of network equipment collecting method and system
CN112152824A (en) * 2019-06-26 2020-12-29 北京神州泰岳软件股份有限公司 Performance index data acquisition method and device
CN111585963A (en) * 2020-04-08 2020-08-25 深圳震有科技股份有限公司 Data acquisition method, system and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115361319A (en) * 2022-10-20 2022-11-18 科来网络技术股份有限公司 SNMP-based network equipment performance analysis method, device and equipment

Similar Documents

Publication Publication Date Title
CN103546343B (en) The network traffics methods of exhibiting of network traffic analysis system and system
EP3193483A1 (en) Flow table ageing method, device and system and computer-readable medium
CN108900374A (en) A kind of data processing method and device applied to DPI equipment
CN112350854B (en) Flow fault positioning method, device, equipment and storage medium
CN111585815B (en) Port data acquisition method and device
CN111538563A (en) Event analysis method and device for Kubernetes
CN101409654B (en) Method for processing SNMP information in network management system
CN117176802B (en) Full-link monitoring method and device for service request, electronic equipment and medium
CN115484047A (en) Method, device, equipment and storage medium for identifying flooding attack in cloud platform
CN112769923A (en) Method, device and storage medium for monitoring network equipment performance index in big data scene
CN112335203A (en) Processing local area network diagnostic data
CN108460044B (en) Data processing method and device
CN110708209B (en) Virtual machine flow acquisition method and device, electronic equipment and storage medium
CN114071448B (en) Data transmission method, related network node and storage medium
CN114020560A (en) Method and device for collecting monitoring data, storage medium and electronic equipment
CN114143385A (en) Network traffic data identification method, device, equipment and medium
CN110061886B (en) Prepress network management system based on SNMP
EP3640803B1 (en) Host monitoring method and device
CN113301049A (en) Industrial control equipment auditing method, device, equipment and readable storage medium
CN107147694B (en) Information processing method and device
CN107124293B (en) Protocol management method and system of distributed network system
CN111756836A (en) Information sending method and device based on event management model
CN105187244A (en) Access management system of digital communication equipment supporting multiple management modes
CN114268856B (en) Method for communication between three-phase intelligent gateway and control master station
CN115175172B (en) Data processing method, device, electronic equipment and storage medium

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
CB02 Change of applicant information

Address after: 610041 12th, 13th and 14th floors, unit 1, building 4, No. 966, north section of Tianfu Avenue, Chengdu hi tech Zone, China (Sichuan) pilot Free Trade Zone, Chengdu, Sichuan

Applicant after: Kelai Network Technology Co.,Ltd.

Address before: 41401-41406, 14th floor, unit 1, building 4, No. 966, north section of Tianfu Avenue, Chengdu hi tech Zone, Chengdu Free Trade Zone, Sichuan 610041

Applicant before: Chengdu Kelai Network Technology Co.,Ltd.

CB02 Change of applicant information