CN115834274B - SD-WAN (secure digital-wide area network) rapid networking method - Google Patents
SD-WAN (secure digital-wide area network) rapid networking method Download PDFInfo
- Publication number
- CN115834274B CN115834274B CN202310107249.1A CN202310107249A CN115834274B CN 115834274 B CN115834274 B CN 115834274B CN 202310107249 A CN202310107249 A CN 202310107249A CN 115834274 B CN115834274 B CN 115834274B
- Authority
- CN
- China
- Prior art keywords
- node
- value
- nodes
- performance
- missing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
Landscapes
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a fast SD-WAN networking method, which relates to the field of digital information transmission and is used for solving the problems that the existing software-definition-based wide area network networking method and system do not verify the nodes of branches and do not analyze the performance of the nodes of the branches connected with the nodes of the headquarter of an enterprise, and the poor performance of the nodes of the branches affects the performance of the whole wide area network; the method comprises the steps of firstly verifying a terminal through a login password and an MAC address to ensure the connection safety of nodes, then analyzing connected preselected nodes to obtain a far value, a surplus storage ratio and a missing value, analyzing the far value, the surplus storage ratio and the missing value to obtain a performance coefficient, and using the performance coefficient to measure the excellent degree of the performance of the preselected nodes, so that the preselected nodes are divided into qualified nodes and unqualified nodes to be selectively connected, and the finally formed wide area network is ensured to be good in safety and excellent in comprehensive performance.
Description
Technical Field
The invention relates to the field of digital information transmission, in particular to an SD-WAN (secure digital-wide area network) rapid networking method.
Background
The software defined wide area network (SD-WAN) is a collection of a series of technologies, and the main concept is to apply the technology of the Software Defined Network (SDN) to the management of the Wide Area Network (WAN), wherein the technology of the software defined network uses a virtualization technology to simplify the management and maintenance work of a data center; extending this concept, applying the related technology on a wide area network can simplify the management of the wide area network by enterprise-level users. Through this technology, companies can build high performance wide area networks with low cost network access. Enterprises may thus partially or completely replace expensive private wide area network technologies.
With the continuous development of enterprise services, more and more enterprises currently have communication requirements between headquarters and various branch offices, and the headquarters and the various branch offices are often located in different cities, so that how to effectively perform networking on the headquarters and the various branch offices is an important issue.
Patent with application number CN201810108656.3 discloses a software-definition-based wide area network networking method and system, relating to the field of communications to realize fast and efficient networking. The method comprises the following steps: the register receives a registration request from the CE; the registry determines the registration information of the CE according to the registration request and sends the registration information to a manager; the manager completes topology construction aiming at the CE based on the registration information; the method comprises the steps that a manager receives configuration information for networking, which is input by a user, and generates a configuration script for a CE which needs networking based on the configuration information; the manager sends the generated configuration script to a controller; the controller determines the CE to be networked according to the received configuration script, and sends the configuration script to the CE to be networked, but the following disadvantages still exist: according to the wide area network networking method and system based on software definition, verification on branch nodes is not carried out, performance of the branch nodes connected with the enterprise headquarter nodes is not analyzed, and poor branch nodes affect performance of the whole wide area network.
Disclosure of Invention
In order to overcome the technical problems, the invention aims to provide an SD-WAN fast networking method: the information verification module inputs a login password, the MAC address of a terminal sending the login password is obtained after the login password is received through the quick networking platform, the terminal is divided into pre-sealed nodes, permanently sealed nodes and pre-selected nodes according to the login password and the MAC address, the performance parameters of the pre-selected nodes are obtained through the parameter acquisition module, the performance coefficients are obtained through the parameter analysis module according to the performance parameters, the pre-selected nodes are divided into qualified nodes and unqualified nodes according to the performance coefficients, the Internet connection between the qualified nodes and the headquarter nodes is maintained through the node networking module, all the qualified nodes are connected through the Internet, the Internet connection between the unqualified nodes and the headquarter nodes is disconnected, and the problems that the existing software-defined wide area networking method and system do not verify the branch nodes, do not analyze the performance of the branch nodes connected with the headquarter nodes, and the performance of the whole wide area network formed by the branch nodes is affected due to the fact that the branch nodes are not good are poor are solved.
The purpose of the invention can be realized by the following technical scheme:
an SD-WAN (secure digital-wide area network) fast networking method comprises the following steps:
the method comprises the following steps: a user inputs a login password through an information verification module and sends the login password to a quick networking platform;
step two: the quick networking platform receives the login password and then obtains an MAC address of the terminal sending the login password;
step three: the quick networking platform compares the login password with a pre-stored verification password, and compares the MAC address with the pre-stored MAC address:
if the login password is different from the pre-stored verification password or the MAC address is different from the pre-stored MAC address, the terminal is marked as a pre-sealed node, if the login password is marked as the pre-sealed node for three times continuously, the pre-sealed node is marked as a permanent-sealed node, and the internet connection between the closed node and the enterprise headquarters node is refused permanently;
if the login password is the same as the pre-stored verification password and the MAC address is the same as the pre-stored MAC address, the terminal is marked as a pre-selection node, the pre-selection node is connected with the enterprise headquarter node through the Internet, a parameter acquisition instruction is generated at the same time, and the parameter acquisition instruction is sent to a parameter acquisition module;
step four: the parameter acquisition module acquires the value of the upload flow consumption and the value of the download flow consumption in unit time of a preselected node after receiving a parameter acquisition instruction, marks the values as an upload value SC and a download value XZ respectively, and substitutes the upload value SC and the download value XZ into a formula
Obtaining a flow value LL, wherein s1 and s2 are preset weight coefficients of the upload value SC and the download value XZ respectively, and s1+ s2=1,s1 is more than 0 and s2 is less than 1, the average value of the flow value LL in the historical data is obtained, and marks the flow value as a flow equalizing value JL, and substitutes the flow value LL and the flow equalizing value JL into a formula ^ 5>
Obtaining an outlier YL;
step five: the parameter acquisition module acquires the maximum data storage capacity and the residual data storage capacity of the storage space of the preselected node, and marks the maximum data storage capacity and the residual data storage capacity as a large storage capacity DC and a surplus storage capacity YC respectively, obtains the ratio of the surplus storage capacity YC to the large storage capacity DC, and marks the ratio as a surplus storage ratio YB;
step six: the parameter acquisition module acquires the stored data missing times and the stored data missing frequency of the preselection node, respectively marks the times and the stored data missing frequency as a missing value QC and a missing value QP, obtains the product of the missing value QC and the missing value QP, and marks the product as a missing value QS;
step seven: the parameter acquisition module sends the distance value YL, the residual storage ratio YB and the deficiency value QS to the parameter analysis module;
step eight: the parameter analysis module substitutes the distance value YL, the residual storage ratio YB and the deficiency value QS into a formula
Obtaining a performance coefficient XX, wherein gamma is a preset error factor, gamma =1.09, g1, g2 and g3 are preset proportionality coefficients of a distance value YL, a residual storage ratio YB and a deficiency value QS respectively, and g1 > g2 > g3 > 0;
step nine: the parameter analysis module compares the performance coefficient XX to a performance threshold XXy:
if the performance coefficient XX exceeds a performance threshold value XXy, judging that a preselected node corresponding to the performance coefficient XX is qualified through analysis, marking the preselected node as a qualified node, and sending the qualified node to a node networking module;
if the performance coefficient XX does not exceed the performance threshold XXy, judging that the preselected node corresponding to the performance coefficient XX is unqualified, marking the preselected node as an unqualified node, and sending the unqualified node to a node networking module;
step ten: after receiving the qualified nodes, the node networking module maintains the internet connection between the qualified nodes and the enterprise headquarter nodes, and performs internet connection on all the qualified nodes to form networking;
step eleven: and after receiving the unqualified nodes, the node networking module disconnects the Internet connection between the unqualified nodes and the enterprise headquarter nodes.
As a further scheme of the invention: an SD-WAN fast networking method comprises the following modules:
the information verification module is used for inputting a login password by a user and sending the login password to the quick networking platform;
the rapid networking platform is used for obtaining an MAC address of a terminal for sending the login password after receiving the login password, dividing the terminal into a pre-sealed node, a permanently sealed node and a pre-selected node according to the login password and the MAC address, connecting the pre-selected node with a headquarter node of an enterprise through the Internet, generating a parameter acquisition instruction at the same time, and sending the parameter acquisition instruction to the parameter acquisition module;
the parameter acquisition module is used for acquiring performance parameters of the preselected node and sending the performance parameters to the parameter analysis module, wherein the performance parameters comprise a distance value YL, a surplus storage ratio YB and a deficiency value QS;
the parameter analysis module is used for obtaining a performance coefficient XX according to the performance parameter, dividing the preselected nodes into qualified nodes and unqualified nodes according to the performance coefficient XX, and sending the qualified nodes and the unqualified nodes to the node networking module;
and the node networking module is used for maintaining the internet connection between the qualified nodes and the head office nodes of the enterprise after receiving the qualified nodes, performing internet connection on all the qualified nodes, and disconnecting the internet connection between the unqualified nodes and the head office nodes of the enterprise after receiving the unqualified nodes.
As a further scheme of the invention: the specific process of dividing the terminals by the rapid networking platform is as follows:
after receiving the login password, obtaining an MAC address of a terminal sending the login password;
comparing the login password with a pre-stored verification password, and comparing the MAC address with a pre-stored MAC address:
if the login password is not the same as the pre-stored verification password or the MAC address is not the same as the pre-stored MAC address, the terminal is marked as a pre-sealed node, if the terminal is marked as the pre-sealed node for three times, the pre-sealed node is marked as a permanent sealed node, and the internet connection between the closed node and the enterprise headquarter node is refused permanently;
and if the login password is the same as the pre-stored verification password and the MAC address is the same as the pre-stored MAC address, marking the terminal as a pre-selected node, connecting the pre-selected node with the enterprise headquarter node through the Internet, simultaneously generating a parameter acquisition instruction, and sending the parameter acquisition instruction to the parameter acquisition module.
As a further scheme of the invention: the specific process of the parameter acquisition module for acquiring the performance parameters is as follows:
acquiring the value of upload flow consumption and the value of download flow consumption of a preselected node in unit time after receiving a parameter acquisition instruction, respectively marking the values as an upload value SC and a download value XZ, and substituting the upload value SC and the download value XZ into a formula
Obtaining a flow value LL, wherein s1 and s2 are preset weight coefficients of an uploading value SC and a downloading value XZ respectively, s1+ s2=1, s1 is larger than 0 and smaller than s2 and smaller than 1, obtaining an average value of the flow value LL in historical data, marking the average value as a flow equalizing value JL, and substituting the flow value LL and the flow equalizing value JL into a formula & lthydrogen>
Obtaining a remote value YL;
acquiring the maximum data storage capacity and the residual data storage capacity of the storage space of the preselected node, respectively marking the maximum data storage capacity and the residual data storage capacity as a large storage capacity DC and a surplus storage capacity YC, obtaining the ratio of the surplus storage capacity YC to the large storage capacity DC, and marking the ratio as a surplus storage ratio YB;
acquiring the number of times of missing storage data and the frequency of missing storage data of a preselected node, respectively marking the times of missing storage data and the frequency of missing storage data as a missing value QC and a missing value QP, obtaining the product of the missing value QC and the missing value QP, and marking the product as a missing value QS;
and sending the remote value YL, the residual storage ratio YB and the deficiency value QS to a parameter analysis module.
As a further scheme of the invention: the specific process of the parameter analysis module for obtaining the performance coefficient XX is as follows:
substituting the distance value YL, the residual storage ratio YB and the deficiency value QS into a formula
Obtaining a performance coefficient XX, wherein gamma is a preset error factor, gamma =1.09, g1, g2 and g3 are preset proportionality coefficients of a distance value YL, a residual storage ratio YB and a deficiency value QS respectively, and g1 > g2 > g3 > 0;
compare the performance coefficient XX to a performance threshold XXy:
if the performance coefficient XX exceeds a performance threshold XXy, judging that the preselected node corresponding to the performance coefficient XX is qualified through analysis, marking the preselected node as a qualified node, and sending the qualified node to the node networking module;
and if the performance coefficient XX does not exceed the performance threshold value XXy, judging that the preselected node corresponding to the performance coefficient XX is unqualified, marking the preselected node as an unqualified node, and sending the unqualified node to the node networking module.
The invention has the beneficial effects that:
the invention relates to a SD-WAN (secure digital-to-wide area network) quick networking method, which comprises the steps of inputting a login password through an information verification module, obtaining an MAC (media access control) address of a terminal for sending the login password after receiving the login password through a quick networking platform, dividing the terminal into a pre-sealed node, a permanent-sealed node and a pre-selected node according to the login password and the MAC address, obtaining performance parameters of the pre-selected node through a parameter acquisition module, obtaining a performance coefficient according to the performance parameters through a parameter analysis module, dividing the pre-selected node into a qualified node and an unqualified node according to the performance coefficient, maintaining the internet connection between the qualified node and a headquarter node of an enterprise through a node networking module, performing internet connection on all the qualified nodes, and disconnecting the internet connection between the unqualified node and the headquarter node of the enterprise; the method comprises the steps of firstly verifying a terminal through a login password and an MAC address, setting the terminal passing the verification as a preselected node, conducting first verification, ensuring the connection safety of the node, then analyzing the connected preselected node, obtaining a far value, a surplus storage ratio and a missing value, wherein the far value is used for measuring the network stability, the surplus storage ratio is used for measuring the sufficiency of a storage space, the missing value is used for measuring the data safety of the preselected node, and then analyzing the three to obtain a performance coefficient which is used for measuring the excellent performance degree of the preselected node.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of an SD-WAN fast networking method according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be 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.
Example 1
Referring to fig. 1, the present embodiment is a method for fast SD-WAN networking, including the following steps:
the method comprises the following steps: a user inputs a login password through an information verification module and sends the login password to a quick networking platform;
step two: the quick networking platform receives the login password and then obtains an MAC address of the terminal sending the login password;
step three: the quick networking platform compares the login password with a pre-stored verification password, and compares the MAC address with the pre-stored MAC address:
if the login password is not the same as the pre-stored verification password or the MAC address is not the same as the pre-stored MAC address, the terminal is marked as a pre-sealed node, if the terminal is marked as the pre-sealed node for three times, the pre-sealed node is marked as a permanent sealed node, and the internet connection between the closed node and the enterprise headquarter node is refused permanently;
if the login password is the same as the pre-stored verification password and the MAC address is the same as the pre-stored MAC address, the terminal is marked as a pre-selection node, the pre-selection node is connected with the enterprise headquarter node through the Internet, a parameter acquisition instruction is generated at the same time, and the parameter acquisition instruction is sent to a parameter acquisition module;
step four: the parameter acquisition module acquires the value of the upload flow consumption and the value of the download flow consumption in unit time of a preselected node after receiving a parameter acquisition instruction, marks the values as an upload value SC and a download value XZ respectively, and substitutes the upload value SC and the download value XZ into a formula
Obtaining a flow value LL, wherein s1 and s2 are preset weight coefficients of an uploading value SC and a downloading value XZ respectively, s1+ s2=1, s1 is more than 0 and less than s2 and less than 1, obtaining an average value of the flow value LL in historical data, marking the average value as a flow equalizing value JL, and substituting the flow value LL and the flow equalizing value JL into a formula |>
Obtaining an outlier YL;
step five: the parameter acquisition module acquires the maximum data storage capacity and the residual data storage capacity of the storage space of the preselected node, and marks the maximum data storage capacity and the residual data storage capacity as a large storage capacity DC and a surplus storage capacity YC respectively, obtains the ratio of the surplus storage capacity YC to the large storage capacity DC, and marks the ratio as a surplus storage ratio YB;
step six: the parameter acquisition module acquires the stored data missing times and the stored data missing frequency of the preselected node, respectively marks the stored data missing times and the stored data missing frequency as a missing value QC and a missing value QP, obtains the product of the missing value QC and the missing value QP, and marks the product as a missing value QS;
step seven: the parameter acquisition module sends the distance value YL, the residual storage ratio YB and the deficiency value QS to the parameter analysis module;
step eight: the parameter analysis module substitutes the distance value YL, the residual storage ratio YB and the deficiency value QS into a formula
Obtaining a performance coefficient XX, wherein gamma is a preset error factor, gamma =1.09, g1, g2 and g3 are preset proportionality coefficients of a distance value YL, a residual storage ratio YB and a deficiency value QS respectively, and g1 > g2 > g3 > 0;
step nine: the parameter analysis module compares the performance coefficient XX to a performance threshold XXy:
if the performance coefficient XX exceeds a performance threshold value XXy, judging that a preselected node corresponding to the performance coefficient XX is qualified through analysis, marking the preselected node as a qualified node, and sending the qualified node to a node networking module;
if the performance coefficient XX does not exceed the performance threshold XXy, judging that the preselected node corresponding to the performance coefficient XX is unqualified, marking the preselected node as an unqualified node, and sending the unqualified node to a node networking module;
step ten: after receiving the qualified nodes, the node networking module maintains the internet connection between the qualified nodes and the enterprise headquarter nodes, and performs internet connection on all the qualified nodes to form networking;
step eleven: and after receiving the unqualified nodes, the node networking module disconnects the Internet connection between the unqualified nodes and the enterprise headquarter nodes.
Example 2
Referring to fig. 1, the present embodiment is a method for fast SD-WAN networking, including the following modules: the system comprises an information verification module, a rapid networking platform, a parameter acquisition module, a parameter analysis module and a node networking module;
the information verification module is used for inputting a login password by a user and sending the login password to the quick networking platform;
the rapid networking platform is used for obtaining an MAC address of a terminal sending a login password after receiving the login password, dividing the terminal into a pre-sealed node, a permanently sealed node and a pre-selected node according to the login password and the MAC address, connecting the pre-selected node with a headquarter node of an enterprise through the Internet, generating a parameter acquisition instruction at the same time, and sending the parameter acquisition instruction to the parameter acquisition module;
the system comprises a parameter acquisition module, a parameter analysis module, a parameter comparison module and a parameter comparison module, wherein the parameter acquisition module is used for acquiring performance parameters of a preselected node and sending the performance parameters to the parameter analysis module, and the performance parameters comprise a remote value YL, a residual storage ratio YB and a missing value QS;
the parameter analysis module is used for obtaining a performance coefficient XX according to the performance parameter, dividing preselected nodes into qualified nodes and unqualified nodes according to the performance coefficient XX, and sending the qualified nodes and the unqualified nodes to the node networking module;
the node networking module is used for maintaining the internet connection between the qualified nodes and the head office nodes of the enterprise after receiving the qualified nodes, performing internet connection on all the qualified nodes, and disconnecting the internet connection between the unqualified nodes and the head office nodes of the enterprise after receiving the unqualified nodes.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is illustrative and explanatory only and is not intended to be exhaustive or to limit the invention to the precise embodiments described, and various modifications, additions, and substitutions may be made by those skilled in the art without departing from the scope of the invention or exceeding the scope of the claims.
Claims (5)
1. An SD-WAN (secure digital-to-wide area network) fast networking method is characterized by comprising the following steps:
the method comprises the following steps: a user inputs a login password through an information verification module and sends the login password to a quick networking platform;
step two: the quick networking platform receives the login password and then obtains an MAC address of the terminal sending the login password;
step three: the quick networking platform compares the login password with a pre-stored verification password, and compares the MAC address with the pre-stored MAC address:
if the login password is not the same as the pre-stored verification password or the MAC address is not the same as the pre-stored MAC address, the terminal is marked as a pre-sealed node, if the terminal is marked as the pre-sealed node for three times, the pre-sealed node is marked as a permanent sealed node, and the internet connection between the closed node and the enterprise headquarter node is refused permanently;
if the login password is the same as the pre-stored verification password and the MAC address is the same as the pre-stored MAC address, the terminal is marked as a pre-selection node, the pre-selection node is connected with the enterprise headquarter node through the Internet, a parameter acquisition instruction is generated at the same time, and the parameter acquisition instruction is sent to a parameter acquisition module;
step four: the parameter acquisition module acquires the value of uploading flow consumption and the value of downloading flow consumption in unit time of a preselected node after receiving a parameter acquisition instruction, respectively marks the values as an uploading value and a downloading value, analyzes the uploading value and the downloading value to obtain a flow value, acquires an average value of the flow values in historical data, marks the average value as a flow equalizing value, and analyzes the flow value and the flow equalizing value to obtain a far value;
step five: the parameter acquisition module acquires the maximum data storage capacity and the residual data storage capacity of the storage space of the preselected node, respectively marks the maximum data storage capacity and the residual data storage capacity as a large storage capacity and a surplus storage capacity, obtains the ratio of the surplus storage capacity to the large storage capacity and marks the ratio as a surplus storage ratio;
step six: the parameter acquisition module acquires the stored data missing times and the stored data missing frequency of the preselected node, respectively marks the stored data missing times and the stored data missing frequency as a missing value and a missing frequency value, obtains the product of the missing value and the missing frequency value and marks the product as the missing value;
step seven: the parameter acquisition module sends the far value, the surplus storage ratio and the missing value to the parameter analysis module;
step eight: the parameter analysis module analyzes the far value, the surplus storage ratio and the missing value to obtain a performance coefficient;
step nine: the parameter analysis module compares the performance coefficient to a performance threshold:
if the performance coefficient exceeds the performance threshold, judging that the preselected node corresponding to the performance coefficient is qualified through analysis, marking the preselected node as a qualified node, and sending the qualified node to a node networking module;
if the performance coefficient does not exceed the performance threshold, judging that the preselected node corresponding to the performance coefficient is unqualified in analysis, marking the preselected node as an unqualified node, and sending the unqualified node to a node networking module;
step ten: after receiving the qualified nodes, the node networking module maintains the internet connection between the qualified nodes and the enterprise headquarter nodes, and performs internet connection on all the qualified nodes to form networking;
step eleven: and after receiving the unqualified nodes, the node networking module disconnects the Internet connection between the unqualified nodes and the enterprise headquarter nodes.
2. The SD-WAN fast networking method according to claim 1, comprising the following modules:
the information verification module is used for inputting a login password by a user and sending the login password to the quick networking platform;
the rapid networking platform is used for obtaining an MAC address of a terminal for sending the login password after receiving the login password, dividing the terminal into a pre-sealed node, a permanently sealed node and a pre-selected node according to the login password and the MAC address, connecting the pre-selected node with a headquarter node of an enterprise through the Internet, generating a parameter acquisition instruction at the same time, and sending the parameter acquisition instruction to the parameter acquisition module;
the parameter acquisition module is used for acquiring performance parameters of the preselected nodes and sending the performance parameters to the parameter analysis module, wherein the performance parameters comprise a far value, a surplus storage ratio and a missing value;
the parameter analysis module is used for obtaining a performance coefficient according to the performance parameter, dividing the preselected nodes into qualified nodes and unqualified nodes according to the performance coefficient, and sending the qualified nodes and the unqualified nodes to the node networking module;
and the node networking module is used for maintaining the internet connection between the qualified nodes and the head office nodes of the enterprise after receiving the qualified nodes, performing internet connection on all the qualified nodes, and disconnecting the internet connection between the unqualified nodes and the head office nodes of the enterprise after receiving the unqualified nodes.
3. The SD-WAN rapid networking method according to claim 2, wherein the rapid networking platform divides the terminals in a specific process as follows:
after receiving the login password, obtaining the MAC address of the terminal sending the login password;
comparing the login password with a pre-stored verification password, and comparing the MAC address with a pre-stored MAC address:
if the login password is different from the pre-stored verification password or the MAC address is different from the pre-stored MAC address, the terminal is marked as a pre-sealed node, if the login password is marked as the pre-sealed node for three times continuously, the pre-sealed node is marked as a permanent-sealed node, and the internet connection between the closed node and the enterprise headquarters node is refused permanently;
and if the login password is the same as the pre-stored verification password and the MAC address is the same as the pre-stored MAC address, marking the terminal as a pre-selected node, connecting the pre-selected node with the enterprise headquarter node through the Internet, simultaneously generating a parameter acquisition instruction, and sending the parameter acquisition instruction to the parameter acquisition module.
4. The SD-WAN fast networking method according to claim 2, wherein the specific process of the parameter acquisition module obtaining the performance parameters is as follows:
after receiving a parameter acquisition instruction, acquiring an uploading flow consumption value and a downloading flow consumption value of a preselected node in unit time, respectively marking the uploading flow consumption value and the downloading flow consumption value as an uploading value and a downloading value, analyzing the uploading value and the downloading value to obtain flow values, acquiring an average value of the flow values in historical data, marking the average value as a flow equalizing value, and analyzing the flow values and the flow equalizing value to obtain a remote value;
acquiring the maximum data storage capacity and the residual data storage capacity of the storage space of the preselected node, respectively marking the maximum data storage capacity and the residual data storage capacity as a large storage capacity and a residual storage capacity, obtaining the ratio of the residual storage capacity to the large storage capacity and marking the ratio as a residual storage ratio;
acquiring the number of times of missing data and the frequency of missing data of a preselected node, respectively marking the times of missing data and the frequency of missing data as a missing value and a missing frequency value, obtaining the product of the missing value and the missing frequency value, and marking the product as the missing value;
and sending the far value, the surplus storage ratio and the missing value to a parameter analysis module.
5. The SD-WAN fast networking method according to claim 2, wherein the specific process of the parameter analysis module obtaining the performance coefficient is as follows:
analyzing the far value, the surplus storage ratio and the missing value to obtain a performance coefficient;
comparing the coefficient of performance to a performance threshold:
if the performance coefficient exceeds the performance threshold, judging that the preselected node corresponding to the performance coefficient is qualified through analysis, marking the preselected node as a qualified node, and sending the qualified node to a node networking module;
and if the performance coefficient does not exceed the performance threshold, judging that the preselected node corresponding to the performance coefficient is unqualified in analysis, marking the preselected node as an unqualified node, and sending the unqualified node to the node networking module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310107249.1A CN115834274B (en) | 2023-02-14 | 2023-02-14 | SD-WAN (secure digital-wide area network) rapid networking method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310107249.1A CN115834274B (en) | 2023-02-14 | 2023-02-14 | SD-WAN (secure digital-wide area network) rapid networking method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115834274A CN115834274A (en) | 2023-03-21 |
| CN115834274B true CN115834274B (en) | 2023-04-18 |
Family
ID=85521110
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310107249.1A Active CN115834274B (en) | 2023-02-14 | 2023-02-14 | SD-WAN (secure digital-wide area network) rapid networking method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115834274B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108390774A (en) * | 2018-02-01 | 2018-08-10 | 葛晗 | A kind of wide area network network-building method and system based on software definition |
| CN111491020A (en) * | 2020-04-08 | 2020-08-04 | 腾讯科技（深圳）有限公司 | Data processing method, data processing device, computer equipment and storage medium |
| CN111654399A (en) * | 2020-06-08 | 2020-09-11 | 奇安信科技集团股份有限公司 | Networking method, device and equipment based on SD-WAN and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11296947B2 (en) * | 2020-06-29 | 2022-04-05 | Star2Star Communications, LLC | SD-WAN device, system, and network |
-
2023
- 2023-02-14 CN CN202310107249.1A patent/CN115834274B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108390774A (en) * | 2018-02-01 | 2018-08-10 | 葛晗 | A kind of wide area network network-building method and system based on software definition |
| CN111491020A (en) * | 2020-04-08 | 2020-08-04 | 腾讯科技（深圳）有限公司 | Data processing method, data processing device, computer equipment and storage medium |
| CN111654399A (en) * | 2020-06-08 | 2020-09-11 | 奇安信科技集团股份有限公司 | Networking method, device and equipment based on SD-WAN and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 吴建华 ; .SD-WAN在企业组网中的应用分析.电子世界.2020,(04),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115834274A (en) | 2023-03-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107302443B (en) | Equipment configuration method and device based on network configuration protocol | |
| CA2470458A1 (en) | Audio communication bandwidth management system, method and program for the same, communication connection server, and network apparatus | |
| CN105025555A (en) | Energy-saving compensation control method and apparatus | |
| Heron et al. | Demand-response round-trip latency of IoT smartgrid network topologies | |
| CN103138946B (en) | A kind of POE power supply management methods and device | |
| CN106506182B (en) | A kind of method and system configuring PTN business | |
| CN115834274B (en) | SD-WAN (secure digital-wide area network) rapid networking method | |
| WO2021003811A1 (en) | Deep learning-based bandwidth filtering method and device, server, and storage medium | |
| CN105391566B (en) | A kind of method and device that dynamic network equipments configuration compares | |
| EP4024762A1 (en) | Method and device for predicting connection state between terminals, and analysis device | |
| CN110677306B (en) | Network topology replica server configuration method and device, storage medium and terminal | |
| CN112187956A (en) | Open type Internet of things data management method and system | |
| CN114760318B (en) | Edge computing management method and system | |
| CN103986692B (en) | Data forwarding method and system based on wireless access point | |
| CN116319565A (en) | Load balancing system, method, equipment and storage medium based on online computing | |
| CN113645101B (en) | CSD link automatic verification method of intelligent substation switch | |
| US20100118739A1 (en) | Method and Apparatus for the Determination of Multiple Spanning Trees | |
| CN106936606A (en) | Service implementation method and system and arranging service equipment | |
| CN106656779B (en) | A kind of aggregation gateway and its cut-in method | |
| CN106612207B (en) | The management-control method and device of ethernet device RSTP information | |
| CN112822054B (en) | Remote management method for multiple related devices by using same network element | |
| Garcia et al. | Analysis and modeling of traffic on a hybrid fiber-coax network | |
| Cisco | Cisco Product Catalog February 1997 | |
| US6760310B1 (en) | Optimal allocation of multi-service concentrators | |
| Cisco | Cisco Product Catalog October 1996 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |