CN115484174B

CN115484174B - Intelligent recognition-based nano tube method, device, equipment and storage medium

Info

Publication number: CN115484174B
Application number: CN202211112753.2A
Authority: CN
Inventors: 顾少锋; 杨鸿晋; 李立
Original assignee: CCB Finetech Co Ltd
Current assignee: CCB Finetech Co Ltd
Priority date: 2022-09-13
Filing date: 2022-09-13
Publication date: 2023-07-04
Anticipated expiration: 2042-09-13
Also published as: CN115484174A

Abstract

The disclosure provides a nanotube method, device, equipment and storage medium based on intelligent recognition, which can be applied to the technical field of Internet of things. The intelligent recognition-based nanotube method comprises the following steps: binding the key group information and the designated network domain range to an intelligent recognition task in a timing task framework; triggering an intelligent identification task to perform access matching on a plurality of IP servers in a designated network domain range according to key group information at regular time, and identifying to-be-managed objects in the plurality of IP servers; acquiring operation parameters of an object to be managed; and installing a nano-tube function component in the object to be managed by calling a remote link corresponding to the operation parameter so as to automatically nano-tube the object to be managed.

Description

Intelligent recognition-based nano tube method, device, equipment and storage medium

Technical Field

The present disclosure relates to the field of internet of things, and more particularly to a method, apparatus, device, medium, and program product for managing a nanotube based on intelligent recognition.

Background

Currently, enterprises use open source or self-research management tools when automatically managing servers. In order to increase the concurrency of management, the operation and maintenance tool of the C/S architecture can be adopted for management, so that a corresponding operation and maintenance tool client needs to be installed in a managed server.

Prior to installing the operation and maintenance tool client, the server as the nanotube object is determined by the operation and maintenance personnel. In a large-scale server cluster scenario, determining nanotube objects is particularly time consuming and confusing. Or, once information is missed, various login information needs to be tried repeatedly to achieve the purpose of correcting the login information, so that the operation is complicated and inefficient, and the trial-and-error cost is high.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a method, apparatus, device, medium and program product for intelligent recognition-based nanotubes, which address the problem of low efficiency of nanotubes in the prior art.

According to a first aspect of the present disclosure, there is provided a nanotube method based on intelligent recognition, comprising: binding the key group information and the designated network domain range to an intelligent recognition task in a timing task framework; triggering an intelligent identification task to perform access matching on a plurality of IP servers in a designated network domain range according to key group information at regular time, and identifying to-be-managed objects in the plurality of IP servers; acquiring operation parameters of an object to be managed; and installing a nano-tube function component in the object to be managed by calling a remote link corresponding to the operation parameter so as to automatically nano-tube the object to be managed.

According to an embodiment of the present disclosure, the key set information includes a plurality of keys; according to the key group information, performing access matching on a plurality of IP servers in the range of the designated network domain, and identifying the object to be managed in the plurality of IP servers comprises the following steps: scanning the appointed network domain range to obtain an online IP list of a plurality of IP servers; screening a plurality of detection ports from an online IP list, wherein the detection ports are in a monitoring state; acquiring a specified access protocol, wherein the access protocol comprises a plurality of link protocols; combining the plurality of detection ports, the plurality of keys and the plurality of link protocols to obtain a plurality of sets of login information, wherein each set of login information comprises the detection ports, the keys and the link protocols; and circularly matching the multiple groups of login information with the objects in the range of the appointed network domain to obtain the objects to be managed.

According to an embodiment of the present disclosure, performing cyclic access matching on multiple sets of login information and multiple IP servers within a specified network domain range to obtain an object to be managed, including: for each set of login information of the plurality of sets of login information, setting a detection port as a target access address; logging in a destination access address through a link protocol and a secret key of the same group of login information as the probe port; and under the condition that the successful login destination access address is determined, matching the object to be managed from a plurality of IP servers in the range of the designated network domain.

According to an embodiment of the present disclosure, screening a plurality of probe ports from an online IP list includes: acquiring a detection port list, wherein the detection port list comprises a port to be accommodated; and according to the detection port list, carrying out port detection on a plurality of standby pipe ends of the online IP list to obtain detection ports in the plurality of standby pipe ends.

According to an embodiment of the present disclosure, installing a nanotube function component in an object to be managed by invoking a remote link corresponding to an operation parameter, includes: determining version information of an object to be managed according to the operation parameters; calling a remote link adapted to version information and designating a management mode; and remotely installing the nano-tube function component in the object to be managed by adopting a specified management mode through remote connection.

According to an embodiment of the present disclosure, the intelligent recognition-based nanotube method further includes monitoring nanotube information of the nanotube function component in case it is determined that the nanotube function component is successfully installed in the object to be managed.

According to an embodiment of the present disclosure, key set information indicates keys for logging in to a plurality of IP servers within a specified network domain, the key set information including a key set ID and a key value pair list corresponding to the key set ID.

A second aspect of the present disclosure provides a smart identification-based nanotube device, comprising: the binding module binds the key group information and the appointed network domain range to the intelligent recognition task; the triggering module is used for triggering the intelligent identification task to perform access matching on a plurality of IP servers in the designated network domain range according to the key group information at regular time, and identifying to-be-managed objects in the plurality of IP servers; the acquisition module is used for acquiring the operation parameters of the object to be managed; and the installation module is used for installing the nano-tube function component in the object to be managed by calling the remote link corresponding to the operation parameter so as to automatically nano-tube the object to be managed.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the intelligent recognition-based nanotube approach described above.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the smart identification-based nanotube method described above.

A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the intelligent recognition-based nanotube method described above.

According to the embodiment of the disclosure, aiming at different servers in a designated network domain, the server which is not subjected to nano-tube in the network domain is accurately and intelligently identified, so that automatic collection of nano-tube server information is realized, and automatic operation and maintenance of a client tool nano-tube installation is accurately performed on a target server through the collected information, so that the servers in the network domain are always in an operation and maintenance management range.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates a system architecture diagram of a smart identification-based nanotube approach in accordance with an embodiment of the present disclosure;

FIG. 2 schematically illustrates application scenario diagrams of smart identification-based nanotube methods, apparatus, devices, media and program products according to embodiments of the present disclosure;

FIG. 3 schematically illustrates a flow chart of a smart identification-based nanotube method in accordance with an embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow chart for identifying a nanotube object in accordance with an embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow chart of a smart identification-based nanotube approach in accordance with another embodiment of the present disclosure;

FIG. 6 schematically illustrates a block diagram of a smart identification-based nanotube device, in accordance with an embodiment of the present disclosure; and

fig. 7 schematically illustrates a block diagram of an electronic device adapted to implement a smart identification-based nanotube approach, in accordance with an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

It should be noted that, the intelligent recognition-based nano-tube method and device provided by the present disclosure may be used in the field of server management in the financial field, and may also be used in the field of server management in any field other than the financial field, and the application field of the intelligent recognition-based nano-tube method and device disclosed by the present disclosure is not limited.

In the technical scheme of the disclosure, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing, applying and the like of the personal information of the user all conform to the regulations of related laws and regulations, necessary security measures are adopted, and the public order harmony is not violated. In the technical scheme of the disclosure, the authorization or consent of the user is obtained before the personal information of the user is obtained or acquired.

The embodiment of the disclosure provides a nano-tube method based on intelligent recognition, which binds key group information and a designated network domain range to an intelligent recognition task in a timing task framework; triggering an intelligent identification task to perform access matching on a plurality of IP servers in a designated network domain range according to key group information at regular time, and identifying to-be-managed objects in the plurality of IP servers; acquiring operation parameters of an object to be managed; and installing a nano-tube function component in the object to be managed by calling a remote link corresponding to the operation parameter so as to automatically nano-tube the object to be managed.

Fig. 1 schematically illustrates a system architecture diagram of a smart identification-based nanotube approach in accordance with an embodiment of the present disclosure.

As shown in fig. 1, an application scenario 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the

terminal devices

101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 via the network 104 using the

terminal devices

101, 102, 103 to receive or send messages or the like. Various communication client applications, such as shopping class applications, web browser applications, search class applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only) may be installed on the

terminal devices

101, 102, 103.

The

terminal devices

101, 102, 103 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the intelligent recognition-based nanotube method provided by the embodiments of the present disclosure may be generally performed by the server 105. Accordingly, the smart identification-based nanotube devices provided by embodiments of the present disclosure may be generally disposed in the server 105. The intelligent recognition-based nanotube approach provided by embodiments of the present disclosure may also be performed by a server or cluster of servers other than server 105 and capable of communicating with

terminal devices

101, 102, 103 and/or server 105. Accordingly, the intelligent recognition-based nanotube device provided by the embodiments of the present disclosure may also be provided in a server or server cluster that is different from the server 105 and is capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Fig. 2 schematically illustrates an application scenario diagram of a smart recognition-based nanotube approach according to an embodiment of the present disclosure.

As shown in fig. 2, the nanotube system 210 may scan network device resources in a network domain safely to confirm whether the network device existing in the network environment is online, and further identify whether the online network device is a network device meeting the nanotube condition, and perform the nanotube on the network device meeting the nanotube condition. The network device may be a server.

Servers

220, 230, 240, and 250 are managed by nanotube system 210. The server description shown in fig. 2 is only a schematic illustration and does not limit the number of servers actually hosted by the nanotube system 210.

The nanotube system 210 may be a managed

server

220, 230, 240, and 250 An Zhuangyun dimension tool client and incorporate the managed

servers

220, 230, 240, and 250 into the operation and maintenance management. By installing the dimension tool client in the target server, large-scale centralized management of the server can be realized. The nano tube system 210 can automatically match with an online server in a designated network domain without human intervention, and performs an operation of installing an automatic operation and maintenance tool client on the online server meeting nano tube conditions, thereby realizing automatic nano tube.

The smart recognition-based nanotube method of the disclosed embodiments will be described in detail below with reference to the scenario described in fig. 2 through fig. 3 to 5.

Fig. 3 schematically illustrates a flow chart of a smart identification-based nanotube method according to an embodiment of the present disclosure.

As shown in fig. 3, the intelligent recognition-based nanotube method of this embodiment includes operations S310 to S340.

In operation S310, key set information and a designated network domain scope are bound to the smart identification task in the timed task framework.

In operation S320, an intelligent recognition task is triggered to perform access matching on a plurality of IP servers within a specified network domain range according to the key set information at regular time, and objects to be managed in the plurality of IP servers are recognized.

For example, the timed task framework may include a Python-based timed task framework apschedule. Setting a timed trigger in a Python timed task framework apschedule to execute intelligent recognition tasks, the Python timed task framework can provide tasks based on date, fixed time interval and scheduling type, and can generate persistent tasks.

And binding the designated network domain range and the key group information into the task through a timed task framework to generate a timed intelligent identification task. The intelligent recognition task can comprehensively search the IP servers in the network domain range based on the key group information so as to recognize the IP servers meeting the nano-tube condition as objects to be subjected to nano-tube.

Triggering intelligent recognition tasks according to different timing task scheduling modes, and recognizing objects to be managed in a plurality of IP servers within a designated network domain range. The timing task can trigger the intelligent recognition task to periodically execute, or trigger the intelligent recognition task to execute only once.

In the embodiment of the present disclosure, the key set information indicates keys for logging in to a plurality of IP servers within a specified network domain, and the key set information includes a key set ID and a key value pair list corresponding to the key set ID.

By way of example, the object to be managed may be a nanotube-conditioned but not yet managed IP server within a specified network domain. The key group ID may be account information, and the key value pair list corresponding to the key group ID may be an authentication key list. For example, a root user password or a normal user password with rights required by the Linux system. The corresponding server can be logged in through account information of the key group information and the authentication key. The key set information is a key set value pair list storing the key set ID and the key set corresponding to the key set ID in an encrypted manner, and indicates the key set information of the IP server conforming to the requirements of the nano-tubes. The key set information can also be added, modified and deleted through the man-machine interaction interface.

The network domain may be, for example, a collection of network addresses with network security boundaries, with computers in the same network domain defaulting to being mutually accessible. The network domains may be generated by physical isolation, or may be generated by logical partitioning. Each network domain may correspond to a segment of IP addresses or a collection of related segments of IP addresses. For example, the network domain range may be an IP address range.

In operation S330, the operation parameters of the object to be managed are acquired.

For example, the operation parameters may include system information of the IP server, link listening ports, key information, and the like. The system information is related information of an operating system running on the IP server, the link monitoring port is a port of the IP server for remotely transmitting data, and the key information is access key information of the link monitoring port for accessing the IP server.

In operation S340, a nanotube function component is installed in the object to be managed by calling a remote link corresponding to the operation parameter to automatically nanotube the object to be managed.

In the disclosed embodiments, the operating parameters may be used as input parameters for the nanotube system. The nano tube system calls a remote link based on the operation parameters, executes a remote installation command and automatically installs the nano tube function component in the IP server to be managed. For example, according to the system version of the server, the nanotube installation operation is performed by using a specific automation management method corresponding to the system version.

In the embodiment of the present disclosure, operation S320 and operation S340 may be asynchronously performed. A plurality of IP servers can be included in the designated network domain range, and after a first IP server to be managed is identified in the designated network domain range, a nano-tube function component is installed on the first IP server to be managed; while installing a nano-tube function component on the first IP server to be managed, continuing to identify a second IP server to be managed in the range of the designated network domain; while installing the nanotube function component on the second to-be-managed IP server, continuing to identify a third to-be-managed IP server within the specified network domain, thereby continuing to execute asynchronously.

By performing operations S320 and S340 asynchronously, two operations of intelligent recognition and automatic nanotube formation are performed asynchronously, so that the nanotube efficiency is improved.

In an embodiment of the present disclosure, the intelligent recognition-based nanotube method further includes monitoring nanotube information of the nanotube function component if it is determined that the nanotube function component is successfully installed in the object to be managed.

After installing the nanotube function component in the server to be managed, the installation result is obtained, and the installation result may be stored in a database, for example, written in mongo db. In addition, the recognition result of operation S320 may also be stored in the database. The intelligent recognition result and the installation result can be used as the execution process and the execution details of the automatic nano-tube method in the embodiment of the disclosure. And the intelligent recognition result and the installation result are displayed, so that the intelligent recognition result and the installation result can be conveniently checked, and the subsequent monitoring of the managed server can be conveniently performed. For example, the result data of the intelligent recognition can be obtained from a database, and the log record of the intelligent recognition automatic nano-tube executing process and the detail of the intelligent recognition automatic nano-tube with the network domain range being the IP address are displayed on the management console interface of the nano-tube system. In addition, the running state of the nano tube functional component in the server can be displayed on the management console interface of the nano tube system based on the result of successfully installing the nano tube functional component so as to monitor the nano tube information of the nano tube functional component.

Through the embodiment of the disclosure, the high-efficiency nano-tube for the server is realized based on intelligent identification and automatic nano-tube. The intelligent recognition execution range is limited by the appointed network domain, the accurate intelligent recognition is carried out on the servers which do not carry out the nano-tubes in the network domain in a timing task mode, the automatic collection of the information of the nano-tube servers is realized, and the automatic operation and maintenance of the tool nano-tubes of the client side are accurately carried out on the target servers through the collected information. Periodically and intelligently identifying the servers in the network domain through the timing task, periodically detecting the servers in the network domain, and timely carrying out nano-tube on the servers which are not subjected to nano-tube. The intelligent recognition process is used for efficiently collecting servers to be managed in the target network domain by detecting IP resources in the target network domain, so that a nanotube functional component is installed for the server meeting the automatic nanotube condition according to the recognition result, and an automatic, intelligent and accurate nanotube process is realized. In addition, the intelligent recognition result and the installation result are stored in a database and displayed, the execution information of the server in the process of recognizing the nanotubes and the system information of the server are recorded, the subsequent maintenance of the nanotubes is facilitated, meanwhile, the state of the server nanotubes in the network domain is dynamically perceived, whether the recorded information is consistent with the actual situation is determined, and the situations of data errors, leaky nanotubes and wrong nanotubes are reduced.

Fig. 4 schematically illustrates a flow chart of identifying a nanotube object according to an embodiment of the present disclosure.

As shown in fig. 4, operation S320 of this embodiment performs access matching on a plurality of IP servers within a specified network domain according to key set information, and the step of identifying an object to be managed in the plurality of IP servers includes operations S410 to S450.

In operation S410, the designated network domain range is scanned to obtain an online IP list of a plurality of IP servers.

For example, scanning within a specified network domain range may result in a segment of IP addresses corresponding to the specified network domain range.

In operation S420, a plurality of probe ports are screened from the online IP list, and the plurality of probe ports are in a listening state.

In an embodiment of the present disclosure, the step in operation S420 includes obtaining a probe port list, where the probe port list includes a standby port; and according to the detection port list, carrying out port detection on a plurality of standby pipe ends of the online IP list to obtain a plurality of detection ports in the plurality of standby pipe ends.

The probe port list may include a port list that meets the nanotube conditions of the nanotube system. For example, the enterprise nanotube system only nanotubes servers corresponding to ports belonging to the enterprise. The port belonging to the enterprise can be managed and maintained by the port management module, and the port management module can bind the port with the nano-tube system of the enterprise, so that the port conforming to the nano-tube condition is determined. Ports may be added, modified, and deleted binding. The waiting tube end is a port which accords with the nanotube condition of the nanotube system. Any port corresponding to the IP in the online IP list is in a monitoring state, and the IP in the online IP list and the port in the detection port list are matched with each other to realize the port detection activity.

In operation S430, a specified access protocol is acquired, the access protocol including a plurality of link protocols.

In the disclosed embodiments, an access protocol is used to remotely log in to a server through a remote link tool. The system version information of the server and the like can be accurately acquired and collected through the system of the access-proof protocol login server.

In operation S440, a plurality of probe ports, a plurality of keys, and a plurality of link protocols are combined to obtain a plurality of sets of login information, each set of login information including a probe port, a key, and a link protocol.

In the embodiment of the disclosure, for each probe port, an IP server may be remotely operated by adapting an access protocol with an IP server system of the probe port, and after logging in the server through a key, an operation parameter of the IP server may be obtained. And (3) accurately obtaining operating system information in an intrusion mode, screening whether the server system meets installation conditions of the installation tube, and automatically performing nano tube processing if the server system meets the installation conditions.

The plurality of combination contents of the probe port-key-link protocol are obtained by permutation and combination of the plurality of probe ports, the plurality of keys and the plurality of link protocols which have been acquired. The IP servers to be managed can be matched according to the combined content of the probe port-key-link protocol.

In operation S450, the multiple sets of login information are matched with the cyclic accesses of the multiple IP servers within the specified network domain range, so as to obtain the object to be managed.

In the embodiment of the present disclosure, for each set of login information of multiple sets of login information, a probe port may be set as a destination access address, and the target access address is logged in through a link protocol and a key of the same set of login information as the probe port, where the target access address is determined to be successfully logged in, and an object to be managed is matched from multiple IP servers within a specified network domain.

The target access address is the login address of the IP server to which the probe port belongs, the link protocol is the access protocol capable of remotely controlling the IP server, and the secret key is the account number and the password of the login IP server. For each set of login information, attempting to login to an IP server within the network domain through the probe port, key, and link protocol of the set of login information. In the event that it is determined that an IP server can be successfully logged in, it is identified that the IP server meets the nanotube condition. And after successfully logging in the IP server, remotely linking the IP server through an access protocol, and collecting information of the IP server. Furthermore, the set of login information may be stored in a database as operational parameters of the nanotube-eligible IP server.

According to the embodiment of the disclosure, the IP server is matched according to the designated network domain range, the wide login port set and the login key set, so that correct login information of the IP server, such as an IP address, a login port, a login protocol, a login user, a login password and the like, is determined, system information of the IP server is obtained, subsequent nano-tube operation is facilitated, and automatic collection of nano-tube IP server information and non-missing nano-tube execution strategies of the network domain are realized. And the server does not need to be managed by relying on the accurate IP address, login port, login key and system version of the IP server, so that the information omission of the management server is avoided.

Fig. 5 schematically illustrates a flow chart of installing a nanotube function assembly, according to another embodiment of the present disclosure.

As shown in fig. 5, operation S340 of the embodiment includes steps of installing a nanotube function component in an object to be managed by calling a remote link corresponding to an operation parameter, including operations S510 to S530.

In operation S510, version information of an object to be managed is determined according to the operation parameters.

In operation S520, remote links adapted with version information and a specified management mode are invoked.

In operation S530, the nanotube function component is remotely installed in the object to be managed using the designated management mode through the remote connection.

In the embodiment of the disclosure, the operation parameters may include system information, link listening ports, key information, and the like of the IP server. The version information of the IP server may be determined according to the system information, the link listening port, and the key information of the IP server. Systems, ports, and keys with different versions of IP servers may all follow different specifications. The IP servers with different versions may employ a common remote link and a common management mode, or may employ a remote link and a designated management mode adapted to version information.

For example, remote links need to be adapted to the operating system and link listening ports. The communication specification followed by the remote link is required to conform to the data encoding specification of the operating system and the data transmission specification of the link listening port. The remote link needs to be matched to the access key direction so that the IP server can be successfully accessed through the remote link.

For example, in the case that the operating system of the IP server is a Linux and Aix system, the remote linking may be performed by adopting an SSH protocol. In the case that the operating system of the IP server is a Windows system, the remote linking may be performed by adopting the WINRM protocol.

For IP servers with different versions, the automated nanotube system may employ different modes of management. For example, the automated nano-tube system may perform periodic operation and maintenance management on the IP server based on a preset time node. The automatic nano-tube system can trigger operation and maintenance management to the IP server reaching the preset flow based on the flow of the IP server. The automatic nano-tube system can trigger operation and maintenance management on the IP server reaching the preset data storage amount based on the data storage amount of the IP server.

According to the embodiment of the disclosure, different remote links and management modes are purposefully invoked for each IP server in the network domain range, so that the remote links and management modes can be matched with an operating system, a link monitoring port and an access key of the IP server one by one. The automatic nano-tube system configures the management mode which is suitable for the version of the IP server to be managed, and can realize the centralized operation and maintenance management of the large-scale server according to local conditions.

Based on the intelligent recognition-based nanotube method, the present disclosure also provides an intelligent recognition-based nanotube device. The device will be described in detail below in connection with fig. 6.

Fig. 6 schematically illustrates a block diagram of a smart identification-based nanotube device, according to an embodiment of the present disclosure.

As shown in fig. 6, the smart identification-based nanotube device 600 of this embodiment includes a binding module 610, a triggering module 620, an acquisition module 630, and an installation module 640.

The binding module 610 is used to bind the key set information and the specified network domain scope to the smart identification task. In an embodiment, the binding module 610 may be used to perform the operation S310 described above, which is not described herein.

The triggering module 620 is configured to trigger an intelligent recognition task to perform access matching on a plurality of IP servers within a specified network domain according to the key set information at regular time, so as to recognize and obtain objects to be managed in the plurality of IP servers. The triggering module 620 may be used to perform the operation S320 described above, which is not described herein.

The obtaining module 630 is configured to obtain an operation parameter of an object to be managed. In an embodiment, the obtaining module 630 may be configured to perform the operation S330 described above, which is not described herein.

The installation module 640 is configured to install a nanotube function component in an object to be managed by calling a remote link corresponding to the operation parameter according to the operation parameter, so as to automatically nanotube the object to be managed. In an embodiment, the installation module 640 may be used to perform the operation S34 described above, which is not described herein.

According to an embodiment of the present disclosure, the triggering module 620 includes a scanning unit, a screening unit, an acquisition unit, a combining unit, and a matching unit. The scanning unit is used for scanning the appointed network domain range to obtain an online IP list of a plurality of IP servers. The screening unit is used for screening a plurality of detection ports from the online IP list, and the detection ports are in a monitoring state. The acquisition unit is used for acquiring a specified access prevention protocol, and the access protocol comprises a plurality of link protocols. The combination unit is used for combining the plurality of detection ports, the plurality of keys and the plurality of link protocols to obtain a plurality of sets of login information, wherein each set of login information comprises the detection ports, the keys and the link protocols. And the matching unit is used for circularly accessing and matching the multiple groups of login information with the multiple IP servers in the specified network domain range to obtain the object to be managed.

According to an embodiment of the present disclosure, the matching unit is further configured to set the probe port as the destination access address for each set of login information of the plurality of sets of login information; logging in a destination access address through a link protocol and a secret key of the same group of login information as the probe port; and under the condition that the successful login destination access address is determined, matching the object to be managed from a plurality of IP servers in the range of the designated network domain according to the detection port, the key and the link protocol.

According to an embodiment of the disclosure, the screening unit is further configured to obtain a detection port list, where the detection port list includes a port to be accommodated; and according to the detection port list, carrying out port detection on a plurality of standby pipe ends of the online IP list to obtain a plurality of detection ports in the plurality of standby pipe ends.

According to an embodiment of the present disclosure, the installation module 640 includes a determination unit, a calling unit, and an installation unit. The determining unit is used for determining version information of the object to be managed according to the operation parameters. The calling unit is used for calling the remote link adapted to the version information and designating the management mode. The installation unit is used for remotely installing the nano-tube functional component in the object to be managed by adopting a specified management mode through remote connection.

According to an embodiment of the present disclosure, the smart identification-based nanotube device 600 further includes a monitoring module for monitoring the nanotube information of the nanotube function component in case that it is determined that the nanotube function component is successfully installed in the object to be managed.

Any of the determination module 610, the triggering module 620, the acquisition module 630, and the installation module 640 may be combined in one module to be implemented, or any of the modules may be split into a plurality of modules according to an embodiment of the present disclosure. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. At least one of the binding module 610, the triggering module 620, the acquisition module 630, and the installation module 640 may be implemented, at least in part, as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable way of integrating or packaging circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, at least one of the binding module 610, the triggering module 620, the acquisition module 630 and the installation module 640 may be at least partially implemented as a computer program module which, when executed, may perform the corresponding functions.

As shown in fig. 7, an electronic device 700 according to an embodiment of the present disclosure includes a processor 701 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. The processor 701 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 701 may also include on-board memory for caching purposes. The processor 701 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.

In the RAM 703, various programs and data necessary for the operation of the electronic apparatus 700 are stored. The processor 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. The processor 701 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 702 and/or the RAM 703. Note that the program may be stored in one or more memories other than the ROM 702 and the RAM 703. The processor 701 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in one or more memories.

According to an embodiment of the present disclosure, the electronic device 700 may further include an input/output (I/O) interface 705, the input/output (I/O) interface 705 also being connected to the bus 704. The electronic device 700 may also include one or more of the following components connected to the I/O interface 705: an input section 706 including a keyboard, a mouse, and the like; an output portion 707 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 702 and/or RAM 703 and/or one or more memories other than ROM 702 and RAM 703 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. When the computer program product runs in a computer system, the program code is used for enabling the computer system to realize the intelligent recognition-based nano-tube method provided by the embodiment of the disclosure.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 701. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed over a network medium in the form of signals, downloaded and installed via the communication section 709, and/or installed from the removable medium 711. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 701. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. A nanotube approach based on intelligent recognition, comprising:

binding the key group information and the designated network domain range to an intelligent recognition task in a timing task framework;

Triggering the intelligent identification task to perform access matching on a plurality of IP servers in the designated network domain range according to the key set information at regular time, and identifying to-be-managed objects in the plurality of IP servers;

acquiring the operation parameters of the object to be managed; and

installing a nano-tube function component in the object to be managed by calling a remote link corresponding to the operation parameter so as to automatically nano-tube the object to be managed;

wherein the key set information includes a plurality of keys; and performing access matching on the plurality of IP servers in the specified network domain range according to the key group information, and identifying and obtaining objects to be managed in the plurality of IP servers, wherein the objects to be managed comprise:

combining the plurality of keys, the plurality of link protocols and the plurality of detection ports corresponding to the plurality of IP servers to obtain a plurality of sets of login information, wherein each set of login information comprises a detection port, a key and a link protocol, and the plurality of detection ports are in a monitoring state; and

and carrying out cyclic access matching on the multiple sets of login information and the multiple IP servers in the specified network domain range to obtain an object to be managed.

2. The method of claim 1, wherein the performing access matching on the plurality of IP servers within the specified network domain according to the key set information, and identifying the object to be managed in the plurality of IP servers, further includes:

scanning the designated network domain range to obtain an online IP list of the plurality of IP servers;

screening a plurality of detection ports from the online IP list; and

a specified access protocol is obtained, the access protocol comprising a plurality of link protocols.

3. The method of claim 1, wherein the performing the circular access matching on the multiple sets of login information and the multiple IP servers within the specified network domain range to obtain the object to be managed includes:

setting the probe port as a destination access address for each set of the login information of the plurality of sets of login information;

logging in the destination access address through the link protocol and the key of the same set of login information as the probe port; and

and under the condition that the destination access address is successfully logged in, matching the object to be managed from the plurality of IP servers in the range of the designated network domain.

4. The method of claim 2, wherein the screening the plurality of probe ports from the online IP list comprises:

acquiring a detection port list, wherein the detection port list comprises a waiting tube end; and

and carrying out port probing on a plurality of standby pipe ports of the online IP list according to the probe port list to obtain a plurality of probe ports in the plurality of standby pipe ports.

5. The method of claim 1, wherein installing a nanotube function component in the object to be managed by invoking a remote link corresponding to the operating parameter, comprising:

determining version information of the object to be managed according to the operation parameters;

invoking a remote link adapted to the version information and designating a management mode; and

and remotely installing the nano-tube function component in the object to be managed by adopting the specified management mode through the remote link.

6. The method of claim 1, further comprising:

and monitoring the nanotube information of the nanotube function component under the condition that the nanotube function component is successfully installed in the object to be managed.

7. The method of claim 1, wherein the key set information indicates keys for logging into a plurality of IP servers within the specified network domain, the key set information including a key set ID and a key value pair list corresponding to the key set ID.

8. A smart identification-based nanotube device, comprising:

the binding module binds the key group information and the appointed network domain range to the intelligent recognition task;

the triggering module is used for triggering the intelligent identification task to perform access matching on a plurality of IP servers in the designated network domain range according to the key group information at regular time, and identifying and obtaining objects to be managed in the plurality of IP servers;

the acquisition module is used for acquiring the operation parameters of the object to be managed; and

the installation module is used for installing a nano tube function component in the object to be managed by calling a remote link corresponding to the operation parameter so as to automatically nano tube the object to be managed;

wherein the key set information includes a plurality of keys; the triggering module is further configured to combine the plurality of keys, the plurality of link protocols, and the plurality of detection ports corresponding to the plurality of IP servers to obtain a plurality of sets of login information, where each set of login information includes a detection port, a key, and a link protocol, and the plurality of detection ports are in a listening state; and

9. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-7.