CN115086180A

CN115086180A - Network networking method, network networking device and electronic equipment

Info

Publication number: CN115086180A
Application number: CN202110268719.3A
Authority: CN
Inventors: 董铮; 桑晓宇; 李怀芹; 刘健
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2021-03-12
Filing date: 2021-03-12
Publication date: 2022-09-20

Abstract

The disclosed embodiment provides a network networking method, a network networking device and an electronic device; relates to the technical field of network communication. The network networking method comprises the following steps: acquiring a network demand parameter of a service to be accessed to a network; matching a target network scene model corresponding to the service to be accessed through the network demand parameters, wherein the target network scene model comprises network use data of the accessed service; calculating the packet forwarding rate of the target network scene model according to the network use data; and determining the networking equipment of the service to be accessed to the network according to the packet forwarding rate so as to construct the network of the service to be accessed to the network. According to the technical scheme of the embodiment of the disclosure, the networking equipment of the service to be accessed can be determined according to the packet forwarding rate of the accessed service, so that the waste of network resources is reduced, and the resource utilization rate is improved.

Description

Network networking method, network networking device and electronic equipment

Technical Field

The present disclosure relates to the field of network communication technologies, and in particular, to a network networking method, a network networking device, and an electronic device implementing the network networking method.

Background

The need for enterprise networking is becoming more prevalent in order to obtain information more quickly. Enterprise networking refers to the building of enterprise lans, and is used to interconnect various computers, terminals and external devices within a certain range.

In the process of providing network maintenance service, the method mainly comprises the network establishment of a new network access user and the network capacity expansion and upgrade of an original user. At present, enterprise user networking generally adopts a tree structure, and comprises a first-layer switch, a second-layer switch and a third-layer outlet routing device. The three-layer outlet routing equipment provides connection between an internal network and an external network, the two-layer switch is used for dividing a molecular network, and the three-layer switch is connected with each terminal in the network. Because the packet forwarding performance of a two-layer device such as a switch is much higher than that of a three-layer router device, the performance of the three-layer router device is particularly important for the performance of the whole network when a networking scheme is customized. At present, the user scale of an enterprise is mainly taken as a basis, the outlet bandwidth of the routing equipment is measured and calculated by combining the number of physical terminals, and then the corresponding routing equipment is selected for networking. However, the routing device selected in this way does not consider the difference of specific services of different enterprises, which is easy to cause resource waste or resource shortage, and also leads to higher cost.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

An object of the embodiments of the present disclosure is to provide a network networking method, a network networking device, an electronic device, and a computer readable medium, which can accurately measure and calculate a required packet forwarding rate according to business characteristics of an enterprise, select a corresponding networking device, control networking cost on the premise of meeting business requirements, and avoid resource waste.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to a first aspect of the embodiments of the present disclosure, a network networking method is provided, including: acquiring a network demand parameter of a service to be accessed to a network; matching a target network scene model corresponding to the service to be accessed through the network demand parameters, wherein the target network scene model comprises network use data of the accessed service; calculating the packet forwarding rate of the target network scene model according to the network use data; and determining the networking equipment of the service to be accessed to the network according to the packet forwarding rate so as to construct the network of the service to be accessed to the network.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, determining the networking device of the service to be networked through the packet forwarding rate includes: determining routing equipment information required by the service to be networked according to the packet forwarding rate; and determining the networking equipment of the service to be accessed to the network according to the routing equipment information.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, the network requirement parameter includes a service parameter and an application parameter of the service to be networked; the matching of the target network scene model corresponding to the service to be accessed through the network demand parameters comprises: matching a scene model library through the service parameters to obtain a first network scene model matched with the service parameters, wherein the scene model library comprises a plurality of network scene models; and matching a target network scene model from the first network scene model through the application parameters.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, before matching, by using the network requirement parameter, a target network scenario model corresponding to the service to be networked, the method further includes: acquiring the service type and the application type of the accessed network service; acquiring network use data corresponding to the service type; and calculating the data proportion index of the application type according to the network use data so as to determine a network scene model corresponding to the service type.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiments, the network demand parameter further includes a network scale parameter; the matching of the target network scene model from the first network scene model through the application parameters comprises: matching a second network scene model which is coincident with the application parameters from the first network scene model; and matching a target network scene model with the same network scale parameter from the second network scene model.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, calculating the data fraction indicator of the application type according to the network usage data includes: and calculating the average frame length and the frame ratio of the application type according to the network usage data to obtain the data ratio index.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, calculating the data fraction indicator of the application type according to the network usage data includes: sampling for multiple times from the network with the network access service to acquire multiple groups of network use data; respectively calculating the average frame length and the frame ratio of each group of network use data to obtain a plurality of groups of samples; and testing the multiple groups of samples, and taking the average value of the average frame lengths and the average value of the frame ratios of the multiple groups of samples as the data ratio indexes of the application types when the testing results meet preset conditions.

According to a second aspect of the embodiments of the present disclosure, a network networking apparatus is provided, which may include a network parameter obtaining module, a model matching module, an index calculating module, and a networking device obtaining module.

The network parameter acquisition module is used for acquiring the network requirement parameters of the service to be accessed to the network.

And the model matching module is used for matching a target network scene model corresponding to the service to be accessed through the network demand parameters, wherein the target network scene model comprises network use data of the accessed service.

And the index calculation module is used for calculating the packet forwarding rate of the target network scene model according to the network use data.

And the networking equipment acquisition module is used for determining the networking equipment of the service to be networked according to the packet forwarding rate so as to construct a network of the service to be networked.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, the networking device obtaining module specifically includes a routing information determining module and a device determining module.

And the routing information determining module is used for determining the routing equipment information required by the service to be networked according to the packet forwarding rate.

And the equipment determining model is used for determining the networking equipment of the service to be networked through the routing equipment information.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, the network requirement parameter includes a service parameter and an application parameter of the service to be networked; the model matching module comprises a first matching module and a matching result determining module.

The first matching module is used for matching a scene model library through the service parameters to obtain a first network scene model matched with the service parameters, wherein the scene model library comprises a plurality of network scene models.

And the matching result determining module is used for matching a target network scene model from the first network scene model through the application parameters.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, the network networking apparatus further includes a parameter obtaining module, a network usage data obtaining module, and a model building module.

The parameter acquisition module is used for acquiring the service type and the application type of the accessed service.

And the network use data acquisition module is used for acquiring the network use data corresponding to the service type.

And the model building module is used for calculating the data proportion index of the application type according to the network use data so as to determine a network scene model corresponding to the service type.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiments, the network requirement parameter further includes a network scale parameter; the model matching module may include a second matching model and a third matching module.

And the second matching module is used for matching a second network scene model which is coincident with the application parameters from the first network scene model.

And the third matching module is used for matching a target network scene model with the same network scale parameter from the second network scene model.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, the model building module may be configured to: and calculating the average frame length and the frame ratio of the application type according to the network usage data to obtain the data ratio index.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiments, the model building module may specifically include a data sampling module, a proportion calculating module, and a sample checking module.

The data sampling module is used for sampling from the network of the accessed network service for multiple times so as to obtain multiple groups of network use data.

And the proportion calculation module is used for calculating the average frame length and the frame proportion of each group of network use data respectively to obtain a plurality of groups of samples.

And the sample testing module is used for testing the plurality of groups of samples, and taking the average value of the average data packet size and the average value of the frame ratio of the plurality of groups of samples as the data ratio index of the application type when the testing result meets the preset condition.

According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the networking method of any of the above embodiments via execution of the executable instructions.

According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the network networking method of any of the embodiments described above.

Exemplary embodiments of the present disclosure may have some or all of the following benefits:

in the network networking method, the network networking device, the electronic device and the computer readable medium provided by the exemplary embodiment of the disclosure, the corresponding network access service is matched according to the network requirement parameter of the service to be accessed, and the real and accurate packet forwarding rate can be calculated according to the network usage data of the network access service, so that the problem of resource waste or resource shortage caused by unreasonable networking equipment determined by manual measurement and calculation is avoided, meanwhile, the labor cost can be reduced, and the networking efficiency is improved; and the networking equipment which best meets the actual requirement can be determined according to the packet forwarding rate of the accessed service, the utilization rate of network resources is improved to the greatest extent, and the cost of the networking equipment is controlled on the premise of meeting the service requirement.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:

fig. 1 schematically illustrates an exemplary system architecture diagram of a network networking method or network networking apparatus applied to an embodiment of the present disclosure;

fig. 2 schematically illustrates a flow chart of a network networking method according to an embodiment of the present disclosure;

FIG. 3 schematically shows a flowchart of the steps of determining a network scenario model in an embodiment according to the present disclosure;

FIG. 4 schematically shows a flowchart of the steps of calculating a data fraction indicator according to an embodiment of the present disclosure;

FIG. 5 schematically shows a flowchart of the steps of determining a target network scenario model in an embodiment according to the present disclosure;

FIG. 6 schematically shows a flowchart of the steps of determining a target network scenario model in another embodiment according to the present disclosure;

fig. 7 schematically shows a flowchart of the step of calculating an actual case indicator in an embodiment according to the present disclosure;

FIG. 8 schematically illustrates a network architecture diagram in an embodiment in accordance with the present disclosure;

FIG. 9 schematically illustrates an interface diagram of a network networking method in an embodiment in accordance with the present disclosure;

FIG. 10 is a schematic interface diagram illustrating a network networking method according to another embodiment of the present disclosure;

FIG. 11 is a schematic diagram illustrating an interface of a networking method in an embodiment according to the present disclosure;

FIG. 12 is a schematic interface diagram illustrating a network networking method according to another embodiment of the present disclosure;

FIG. 13 is a schematic interface diagram illustrating a network networking method according to an embodiment of the present disclosure;

fig. 14 schematically illustrates a block diagram of a network networking apparatus according to an embodiment of the present disclosure;

FIG. 15 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

In this specification, the terms "a", "an", "the", "said" and "at least one" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising," "including," and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.; the terms "first," "second," "third," and the like are used merely as labels, and are not limiting as to the number of their objects.

The following detailed description of exemplary embodiments of the disclosure refers to the accompanying drawings.

Fig. 1 is a schematic diagram showing a system architecture of an exemplary application environment to which a network networking method or a network networking apparatus of the embodiment of the present disclosure can be applied.

As shown in fig. 1, the system architecture 100 may include one or more of

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to desktop computers, portable computers, smart phones and tablets, wearable devices, virtual reality devices, smart homes, and the like.

The server 105 may be a server that provides various services, such as a background management server that supports operations performed by users using the

terminal devices

101, 102, 103. The background management server can analyze and process the received data such as the request and feed back the processing result to the terminal equipment.

For example, the server 105 may, for example, obtain a network requirement parameter to be networked; matching a target network scene model corresponding to a service to be accessed to the network through the network demand parameters; server 105 may calculate a packet forwarding rate, for example, from network usage data contained in the target network scenario model; and determining the networking equipment of the service to be accessed to the network through the packet forwarding rate.

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. For example, server 105 may be a server cluster comprised of multiple servers, or the like.

The network networking method provided by the embodiment of the present disclosure is generally executed by the server 105, and accordingly, a network networking-based device is generally disposed in the server 105. However, it is easily understood by those skilled in the art that the network networking method provided in the embodiment of the present disclosure may also be executed by the

terminal devices

101, 102, and 103, and accordingly, the network networking device may also be disposed in the

terminal devices

101, 102, and 103, which is not particularly limited in this exemplary embodiment.

Based on the system architecture, the technical scheme firstly provides a network networking method, which can utilize the network use data of the network access service to calculate the packet forwarding rate, thereby accurately determining the networking equipment of the service to be accessed, improving the utilization rate of network resources and reducing the networking cost. The following describes in detail an embodiment of a network networking method provided in the present technical solution:

fig. 2 schematically shows a flow chart of a network networking method according to an embodiment of the present disclosure. As shown in fig. 2, the present embodiment may include step S21, step S22, step S23, and step S24.

In step S21, a network requirement parameter of the service to be networked is obtained.

The service to be networked may refer to a network scenario requiring networking, such as a network of a small-medium enterprise, a network of a large-scale enterprise, and the like. Different network scenarios may provide different services for the user, such as security video surveillance, wired or wireless networking, and so forth. The network requirement parameter may be understood as network information required by the service to be networked, and may specifically include various types of parameters, such as network bandwidth, network transmission rate, and network type; network access protocol, network communication distance, and other parameters, such as the number of terminals in the network, the type of client, the type of data transmitted, the type of service, etc.; this embodiment is not limited to this.

For example, the network requirement parameter may be provided manually in advance, for example, a person in charge of networking may provide information such as the number of terminals in the network, the type of the terminals, and the maximum distance of network communication according to the requirement of the enterprise. Or, a template corresponding to the network requirement parameter may be preset, and the template is sent to the service to be networked, so that the service to be networked fills the information required by the service to be networked into the template, and then the filled template is obtained and the information in the template is stored as the network requirement parameter of the service to be networked. The template can be generated in a form of a table, and is sent to a terminal corresponding to the service to be accessed in a link mode, and information returned by the terminal is stored in a database.

In step S22, a target network scenario model corresponding to the service to be networked is matched through the network requirement parameter, where the target network scenario model includes network usage data of the networked service.

In this embodiment, the network usage data may include a situation that the network is used by the network-accessed service, such as the amount of data transmitted by the network, the type of data transmitted, and the like. The network scene model can be established in advance through the network use data of the network-accessed service. The network scenario model may include various basic parameters of the networked service, such as the number of terminals in the network, the type of client, the service type of the networked service, and the like. Various parameters contained in the network scene model are compared with the network demand parameters, and the network scene model with the highest similarity with the network demand parameters of the service to be accessed to the network is matched out to serve as the target scene model.

The networking of the accessed service is completed and the network service is enabled, so that the network of each accessed service can be captured and the network use data can be counted, so that a corresponding network scene model can be obtained, for example, the network use data of the accessed service in one month can be counted. In reality, the number of the accessed services is huge, and the accessed services can be classified firstly, so that a corresponding network scene model is established for each type, and the calculated amount of data is reduced. The method of constructing a network scenario model in an exemplary embodiment may specifically include the steps as shown in fig. 3.

In step S31, the service type of the accessed service and the application type are obtained. The service type may be understood as an industry to which the networked service belongs, or a service provided by the networked service. For example, the service types are obtained by classifying the networked services according to the industry to which the networked services belong, and the service types can include hotels, financial enterprises, hospitals, multimedia, education and the like. In addition, the accessed services may be classified in other manners according to actual situations to obtain service types, for example, the obtained service types may include 50 persons, 100 persons, 200 persons, and the like, and the embodiment is not limited thereto.

The application type may refer to a type of a network application used in the network-accessed service, for example, a type of APP on a terminal device of the network-accessed service. It is understood that the networked service of each service type may include multiple application types, i.e., one service type may correspond to multiple application types, and different service types may correspond to different application types. Classifying all client application programs in advance, determining all classification categories, and then determining an application type corresponding to the service type of the network-accessed service according to the client application programs contained in each network-accessed service. For example, the application types may include instant messaging, video, audio, web page, mailbox, the service type of an enterprise a is "multimedia", the application type of an enterprise a is "video, audio, web page", the service type of an enterprise b is "financial", the application type of an enterprise b is "web page, image", and the like.

In step S32, network usage data corresponding to the service type is acquired. Specifically, the packet capturing tool may capture a network data packet from the current network of the network-accessed service as the network usage data, for example, capture an ethernet packet, a WLAN packet, and the like. In order to improve the accuracy of the data, multiple sampling can be carried out through a packet capturing tool, and multiple groups of data packets are obtained and stored as network use data.

In step S33, a data proportion index of the application type is calculated according to the network usage data to determine a network scenario model corresponding to the service type. The application type corresponding to the data packet can be determined by analyzing the content of the data packet, the data packets sent or received by different applications contain different identification information, and the application corresponding to the data packet can be determined according to the identification information, so that the data packet is divided into the application types to which the application belongs. Determining the application type corresponding to each data packet in the network use data, and then counting the proportion of the data packet corresponding to each application type in the network use data to obtain the data proportion index corresponding to the application type. For example, if the network usage data includes 10000 packets, the total size is 8000000 bytes, the application type is 1500 packets of "video", and the total size is 1500000 bytes, then the average frame length of the 1500 packets is 1000 bytes, and the frame occupancy is 15%, and the obtained result is the data occupancy index corresponding to "video".

In an exemplary embodiment, the data fraction indicator may include an average packet size, i.e., an average frame length, and a packet number fraction, i.e., a frame fraction, of the application type. For example, if the network usage data includes 10000 packets, the total size is 8000000 bytes, the number of packets of the application type "video" is 1500, and the size is 1500000 bytes, the data proportion index of the application type "video" may be "average frame length, frame proportion", that is, "1000 bytes, 15%".

After the data proportion index corresponding to each application type is calculated, the calculated result and the corresponding service type can be stored, and a network scene model of the service type is obtained. The service types of the multiple networked services may be the same, and the corresponding application types may be different, and after the data of each networked service is converted into a network scene model, all the network scene models may be stored by using a scene model library. In addition, the network scenario model may include other information, such as the number of employees in the enterprise who have accessed the network service, in addition to the data percentage indicator of the application type. For example, the scene model library may be specifically as shown in table 1 below.

TABLE 1

The accessed network services can be identified by identification information, which can be numbers, characters or symbols, in this embodiment, a corresponding "serial number" is generated by numbering each accessed network service, and a network scenario model of an accessed network service can be uniquely identified by the "serial number", which is convenient for indexing data of each accessed network service. The service types of each networked service may be different or the same, for example, the service types of the networked service with the serial number 1 and the networked service with the serial number 2 may both be "industry 1" and the like. The three application types in table 1 are merely examples, and in practice, the number of application types may be more or less, and different service types may include different application types, for example, service type "industry 1", may include data of two application types "application type 1, application type 2", and service type "industry 2", may include data of three application types "application type 1, application type 2, and application type 3".

In order to improve the accuracy of the data proportion index of the application type, multiple groups of network use data can be obtained through packet capturing for multiple times, and the data proportion index is determined through statistical analysis of the overall average. As shown in fig. 4, in an exemplary embodiment, the method for calculating the data fraction indicator of the application type to obtain the network scenario model may include steps S41 to S43.

In step S41, multiple samples are taken from the network with the network access service to obtain multiple sets of network usage data. Specifically, the multiple sampling is performed for each application type of the accessed service, illustratively, the accessed service can be divided into four application types of 'web page, mail, video and voice', and the packet capturing software is used for data sampling for each application type, so as to calculate the data proportion index of the application type. For example, 10 samples are taken by Ethereal packet capturing software, wherein 10000 data packets are sampled each time, and 10 groups of network use data are obtained.

In step S42, the average frame length and the frame ratio of each group of network usage data are calculated respectively, and a plurality of groups of samples are obtained. For example, taking 10 samples as an example, the average frame length and frame ratio of each sample are calculated, as shown in table 2 below.

TABLE 2

X, Y, Z, T represents the average packet size, i.e. the average frame length, of "web page", "mail", "video" and "voice", respectively, and R represents the ratio of the number of packets of the application type to the total number of packets used in the network. After the average frame length and the frame ratio of each sampling are calculated, the average value of sampling for 10 times can be calculated.

In step S43, multiple groups of samples are tested, and when the test result meets the preset condition, the average value of the average frame lengths and the average value of the frame ratios of the multiple groups of samples are used as the data ratio index of the application type. The means of testing may include a variety of means of testing in statistics, such as t-test, f-test, u-test, etc., such as chi-square test, etc. The data volume in the network is huge, and the amount of calculation can be reduced by sampling a certain number of samples, but the accuracy of calculation is closely related to the sampled samples. The data statistics can determine that the whole network use data is normally distributed, the test method takes a single-sample t test as an example, the t test is to use a t distribution theory to deduce the probability of occurrence of difference, and compare whether the difference between two averages is significant or not. Specifically, an assumption is first established that the sample mean is equal to the population, and then the single population t-test statistic is calculated as:

wherein the number of samples sampled is n, X is the average number of samples,

i denotes the ith sample, 1<＝i<＝n，σ _x Is the standard deviation of the samples and is,

μ is the overall average of the positive-too distribution. And after T is calculated, inquiring the critical value table, determining a corresponding T value, if the calculated T is smaller than the T value found in the table, not rejecting the original hypothesis, and ensuring that the difference between the sampled sample average number and the overall average number has no statistical significance, thereby determining that the sampling meets the requirements. And taking the average frame length of different application types and the average value of the frame ratios as a final data ratio index. For example, for a networked service with a service type of "industry 1", the data fraction indicator for the application type may be as shown in table 3 below.

TABLE 3

Scene	Average frame length (Byte)	Frame ratio (%)
			Web page	320	50％
Mail piece	459	30％
			Video	965	10％
Speech sound	158	10％

If the sampled sample is determined to be not in accordance with the preset condition through inspection, the sample can be re-sampled, and the data ratio index can be recalculated.

And calculating the data proportion index of each application type of each network-accessed service, and matching the corresponding target network scene model according to the network demand parameters of the service to be accessed after obtaining the corresponding network scene model. In an exemplary embodiment, the network requirement parameters may include multiple types of parameters, and when matching the target network scenario model corresponding to the service to be networked, the matching may be preferentially performed based on the service parameters of the service to be networked and the network application parameters, which may specifically include steps S51 to S52, as shown in fig. 5.

In step S51, the scene model library is matched by the service parameters to obtain a first network scene model matching the service parameters. The scene model library comprises a plurality of network scene models. The service parameter may refer to a service type of a service to be networked, and a networked service that is the same as the service type of the service to be networked may be screened from the scene model library through the service parameter. For example, if the service parameter of the service to be networked is "financial industry", a network scenario model with the service type of "financial industry" is screened from the scenario model library as the first network scenario model.

In step S52, a target network scene model is matched from the first network scene model by applying the parameters. The application parameter may be understood as an application type of the service to be networked, and the application parameter of the service to be networked may include multiple application types, for example, the application parameter may be "video, voice". And after the first network scene model is screened out, secondary screening is carried out through the network application parameters, and a final target scene model is screened out. During matching and screening, the frame ratio of the application type is not distinguished, that is, the specific value of the frame ratio index of the application type is ignored, only the application type is matched, for example, the application parameter of the service to be accessed to the network is 'webpage and video', and a network scene model of which the application type simultaneously comprises 'webpage' and 'video' is matched to be used as a final target scene model. If the application parameters of the service to be networked include a plurality of application types and target scene models simultaneously including the plurality of application types are not matched, the network scene model with the largest number can be selected as the target scene model. For example, if the application parameters of the service to be accessed to the network include "web page, video, voice, mail, and text", and the accessed service including these five application types at the same time is not matched, a network scene model including "web page, video, voice, and mail" or a network scene model including "video, voice, mail, and text" may be selected as the target scene model, and so on.

In an embodiment, the network requirement parameter of the service to be networked may further include a network scale parameter, where the network scale parameter may be understood as the number of terminals required by the service to be networked or the number of employees of the service to be networked. Therefore, when the model is screened, the target scene model can be screened by using the network scale parameter, as shown in fig. 6, specifically including step S61 and step S62.

In step S61, a second network scene model that coincides with the application parameters is matched from the first network scene model. For example, a second network scenario model with the application type being the same as the application parameter may be matched, or a second network scenario model with the application type including the application parameter may be matched, for example, the application parameter is "A, B, C, D", a network scenario model with the application type of "A, B, C, D, E, F" may be matched as the second network scenario model, a network scenario model with the application type of "A, B, C, D, F, G" may be matched as the second network scenario model, and so on.

In step S62, target network scene models having the same network scale parameter are matched from the second network scene model. If the second network scene model contains a plurality of network scene models, the network scene model with the same or the closest number of staff of the enterprise can be selected as the target network scene model. In this embodiment, screening out the target network scenario model may include multiple ways, for example, if a plurality of network scenario models having the same network scale parameter as the service to be networked exist in the second network scenario model, further screening may be performed through other parameters in the network requirement parameter, such as a required bandwidth; if there are only 1 second network scene model, step S62 may not be executed, and the second network scene model is directly used as the final target network scene model; and for example, the service type, the application type and the network scale parameter can be simultaneously utilized for matching to obtain a final target scene model and the like.

With continued reference to fig. 3, in step S33, the packet forwarding rate of the target network scenario model is calculated according to the network usage data.

Since the performance of the two-layer switch device is much higher than that of the three-layer router device, the packet forwarding rate can refer to the packet forwarding rate of the three-layer router device. After the target network scene model corresponding to the service to be networked is determined, the data of the target network scene model can be read, the packet forwarding rate corresponding to the target scene model can be calculated by using the read data, the packet forwarding rate is the packet forwarding rate of the network which is actually used by the network of the service to be networked, and the network performance of the service to be networked can be truly and accurately represented. For example, the data of the read target network scene model is shown in table 4 below.

TABLE 4

Serial number	Application type	Average frame length	Frame ratio
					1	Network application 1	L ₁	x ₁
2	Network application 2	L ₂	x ₂
				……
m	Network application m	L _m	x _m

The process of calculating the packet forwarding rate using the read data is as follows: firstly, the average frame length of the accessed network service, i.e. the average packet size, is calculated and recorded as L, and the calculation formula may be:

wherein i is a positive integer and represents the ith application type; l is _i An average frame length representing the ith application type; x _i A frame duty indicating an ith application type; and m is the number of all application types included in the target network scene model. After the average frame length of the target network scene model is calculated, the packet forwarding rate can be calculated by using the average frame length. Specifically, the packet forwarding rate is represented as N, the unit is pps, and the calculation formula may be:

wherein r is the concurrency ratio of the accessed service; n is the total number of the users of the accessed network service; b is the bandwidth of a single end user in Mbps. The concurrency ratio of the networked services, the total number of users and the bandwidth of the end user are all known data of the networked services. And calculating the value of N, namely the packet forwarding rate actually required by the accessed network service. Because the service type, the application type and other aspects of the service to be networked are similar to those of the service already networked, the packet forwarding rate calculated according to the target network scene model can be used as the packet forwarding rate required by the service to be networked, and then networking is performed according to the standard.

In step S34, the networking device of the service to be networked is determined by the packet forwarding rate, so as to construct a network of the service to be networked.

After the packet forwarding rate is determined, the performance index of each router device can be inquired, the router device matched with the packet forwarding rate is determined, and therefore other networking devices are selected based on the determined router device. In addition, besides considering the packet forwarding rate when determining the networking equipment of the service to be networked, the networking equipment which is most suitable for the service to be networked can be comprehensively determined through various parameters by combining various parameters such as bandwidth, networking types (such as wired networking and wireless networking), equipment price and the like.

In an exemplary embodiment, as shown in fig. 7, the method for determining a networking device may specifically include step S71 and step S72.

In step S71, the routing device information required by the service to be networked is determined according to the packet forwarding rate. Since the price difference between the routers with different performance indexes is large, a router device having a packet forwarding rate equal to the packet forwarding rate calculated in step S33 or a router device having a cost range larger than the calculated packet forwarding rate may be selected. The routing device information may include a model of the router, a packet forwarding rate, a CPU, a supported network protocol, and the like, and may further include other parameters, for example, a memory, the number of the tape machines, and the like, which is not limited in this embodiment. The router device with the packet forwarding rate meeting the requirement can be obtained according to the calculated packet forwarding rate, for example, if the calculated packet forwarding rate is 50Kpps, the router device with the packet forwarding rate equal to 50Kpps can be preferentially selected, and if no router device model equal to 50Kpps exists, the router device closest to 50Kpps and greater than 50Kpps is obtained. And determining the model of the routing equipment to be selected, and further acquiring all parameters of the router equipment to obtain the routing equipment information.

In step S72, a networking device of the service to be networked is determined by the routing device information. When networking the to-be-networked service, besides the routing device, various other devices such as a switch, a client and the like are required, and other devices in the network need to be interconnected with the routing device, so that the models of the other devices are matched according to the determined routing device information.

Fig. 8 schematically shows a network topology for networking. As shown in fig. 8, the network topology can be divided into three layers: access layer 801, convergence layer 802, and core layer 803.

The Access layer 801 may refer to a device layer for accessing a terminal, including but not limited to an AP (Wireless Access Point) device, a camera device, a POE (Power Over Ethernet, switch supporting Power Over Ethernet) device, an Access switch device, an AC (Wireless Access Point Controller) device, an NVR (Network Video Recorder) device, and the like. When the model of the access layer equipment is selected, the model and the corresponding quantity of the access equipment can be determined by consulting the equipment model database according to the parameters such as the number of access terminals, uplink bandwidth, WiFi signal coverage and the like, and if a plurality of equipment models are met, other personalized requirements (such as brands, prices, shapes and other factors) of clients can be considered. After the selection of completion access stratum equipment model and quantity are confirmed, can be connected to POE switch equipment with AP equipment, be connected to POE switch equipment with camera equipment, be connected to floor switch equipment with desktop PC, accomplish the group of access stratum equipment and build.

The convergence layer 802 may include at least one core switch device. When determining the device model of the convergence layer, the device model and the corresponding quantity of the convergence layer may be determined by referring to the device model database according to the parameters such as the number of devices in the access layer 801, the uplink bandwidth, and the routing device information. After the selection of the model number and the determination of the number of the convergence layer devices are completed, the POE switches, the floor switches, the AC devices, the NVR devices, and the like included in the access layer 801 are connected to the core switch device.

Core layer 803 may refer to a three-layer egress routing device responsible for connecting an enterprise's local area network to an external network, such as a network provided by a network operator. And inquiring the equipment type based on the packet forwarding rate in the target network scene model, determining the model of the three-layer outlet routing equipment, and selecting in consideration of other personalized requirements (such as other factors of brand, price, shape and the like) of the client if the model of a plurality of equipment is met. The table structure of the device type database may be as shown in table 5 below:

TABLE 5

The device type database can comprise parameters of devices of various types, and networking devices which can meet the cost requirement of the service to be networked and the packet forwarding rate requirement can be determined by inquiring the database. After determining the model of the three-layer egress router device, the core switch device in the convergence layer 802 is connected to the three-layer egress router device.

The embodiment can also provide a user interface for networking, and the networking equipment is determined through the user interface, so that the determination of the networking equipment is automatically completed, the networking efficiency is improved, and the labor cost is reduced. As shown in fig. 9, a user or an operator maintenance worker who needs networking may input information through a user interface of a mobile phone client. In the user interface 901, the area indicated by the click interface 902 can determine the networking types that need networking, such as wired, wireless networking, security monitoring networking, and wired, wireless, security monitoring integrated networking, and the like. The user is prompted to click or slide through the abbreviated identifier 903 to switch the interface 902, i.e., to switch the networking type. By clicking the 'click confirmation' 904 control, the corresponding networking type can be determined, so that an interface corresponding to the networking type is entered, and networking equipment required by the networking type is further determined. As shown in fig. 10, the number of networking devices may be determined first through the user interface 1001, and the user may perform check-in the area 1002 to determine the area to be networked and the number of devices included in each area, so as to determine the devices to be accessed. After determining the number, the user-selected region and number may be saved via the "next" control 1003 and into the next user interface 1101, as shown in FIG. 11. Other parameters of the device type selection can be determined through the user interface 1101, so that personalized requirements of the user can be met, for example, price intervals of networking devices, such as foundation, advance, high-level distribution and the like, appearance requirements, pixel requirements and the like of the networking devices by the user, and the type selection parameters of the user can be stored through the control 1102 after the personalized requirements of the user are input. In addition, according to practical situations, a plurality of user interfaces may be designed to obtain various requirement parameters of the networking device, such as brands, resolution requirements, color requirements, and the like, which is not limited to this embodiment.

For example, after determining the personalized model selection parameters of the user, the device model database may be searched, and devices meeting the requirements of the model selection parameters may be output and recommended to the user. As shown in fig. 12, in the user interface 1201, the recommended networking devices for the user and the detailed information of the devices can be presented, which is convenient for the user to select, and the determined devices can be saved through the control 1204 for subsequent viewing and confirmation. Illustratively, a picture of a product and a model, a name, etc. are displayed in a display area shown in page 1202, and detailed descriptions of the product, such as various parameters, performance descriptions, usage descriptions, etc. of the product are displayed in a display area at page 1203. In addition, if viewing other recommendations is required, the type selection parameters can be reset, for example, the type selection parameters can be changed through the 'return' control in fig. 12, so that other recommended devices can be viewed.

After determining the router device of the service to be networked and each networking device required by networking, the device can be connected for networking, so that interconnection and intercommunication of each device of the service to be networked are realized.

In an exemplary embodiment, the service to be networked may be a small and medium-sized enterprise, and the target network scenario model that is most similar to the service type of the small and medium-sized enterprise is obtained by searching the scenario model library according to the service type of the small and medium-sized enterprise. For example, by sending a link to the small and medium-sized enterprise, the link may enable the small and medium-sized enterprise to input a corresponding service type, as shown in fig. 13, the small and medium-sized enterprise may be in a display interface 1301, the service type may be displayed in a display area 1302, and a user may switch the service type by switching the display area 1302 through an operation gesture, and further select a service type of the user, for example, the service type of the small and medium-sized enterprise is "enterprise", and when the service type displayed at the display area 1302 is "enterprise", the "confirm" control 1303 may be clicked to confirm. Similarly, the application type of the medium-sized and small-sized enterprise can be determined through a user interface, after the service type and the application type of the medium-sized and small-sized enterprise are confirmed, the most conceivable target network scene model can be searched, network use data of the target network scene model is obtained in a sampling mode, the actual packet forwarding rate is calculated by using the network use data obtained in the sampling mode, the device model database is inquired according to the actual packet forwarding rate to confirm corresponding routing device information, and then other devices such as switches and the like are determined on the basis of the routing device information, so that all networking devices are determined, and networking of the medium-sized and small-sized enterprise is achieved.

Therefore, the embodiment can determine the packet forwarding rate of the relevant parameters in the networking scheme in a targeted manner based on the real network scene of the medium-sized and small-sized enterprises, so that the networking requirements of the users in various network application scenes can be met.

When the service to be accessed to the network is a network capacity expansion optimization requirement of the accessed service, sampling and packet capturing can be performed on the network usage data of the accessed service, so that data proportion indexes of various application types are calculated by using the network usage data obtained by sampling, a network scene model of the accessed service is established, the actual packet forwarding rate of the accessed service can be determined according to the calculation result, corresponding networking equipment is obtained based on the packet forwarding rate, and the networking equipment is compared with the original networking equipment in the accessed service to determine equipment needing capacity expansion optimization, so that the network capacity expansion optimization of the accessed service is realized.

Therefore, when the network capacity expansion is optimized, the existing network does not need to be analyzed manually, networking equipment conforming to the actual requirement of the network can be automatically matched, the maintenance cost of the network can be reduced, and the maintenance efficiency is improved.

For example, a small enterprise with 251 homes is networked by the networking method of the present embodiment, wherein 198 homes of businesses to be networked and 53 homes of businesses to be networked are upgraded. Indexes of the network after networking of the 251 small enterprise, such as average time delay, jitter parameters, bandwidth resource utilization rate, unit user cost and the like, are shown in a table. Compared with a small enterprise of 250 families which performs networking by measuring and calculating the exit bandwidth of the routing equipment through the user scale, such as the number of employees, the number of monitoring points and the like, it can be seen that the network average time delay and jitter parameter indexes of the networking method of the embodiment are obviously superior to those of the network average time delay and jitter parameter indexes based on the exit bandwidth networking; the bandwidth resource utilization rate is obviously higher than that of the exit bandwidth networking; the unit user cost is also significantly lower than that of the egress bandwidth networking. Therefore, the embodiment can improve the resource utilization rate and reduce the networking cost.

TABLE 6

Embodiments of the apparatus of the present disclosure are described below, which may be used to perform the network networking method of the present disclosure. Referring to fig. 14, a network networking apparatus 1400 provided by an embodiment of the present disclosure may include: a network parameter obtaining module 1401, a model matching module 1402, an index calculating module 1403, and a networking device obtaining module 1404.

The network parameter obtaining module 1401 is configured to obtain a network requirement parameter of a service to be networked.

The model matching module 1402 is configured to match a target network scenario model corresponding to the service to be networked through the network requirement parameter, where the target network scenario model includes network usage data of the networked service.

The index calculation module 1403 is configured to calculate a packet forwarding rate of the target network scenario model according to the network usage data.

The networking device obtaining module 1404 is configured to determine the networking device of the service to be networked according to the packet forwarding rate, so as to construct a network of the service to be networked.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, the networking device obtaining module 1404 specifically includes a routing information determining module and a device determining module.

And the routing information determining module is used for determining the routing equipment information required by the service to be accessed to the network according to the packet forwarding rate.

The device determining model is used for determining the networking device of the service to be networked through the routing device information.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiment, the network requirement parameter includes a service parameter and an application parameter of the service to be networked; the model matching module 1402 includes a first matching module and a matching result determination module.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiments, the network networking apparatus 1400 further includes a parameter obtaining module, a network usage data obtaining module, and a model building module.

The network use data acquisition module is used for acquiring the network use data corresponding to the service type.

The model building module is used for calculating the data proportion index of the application type according to the network use data so as to determine a network scene model corresponding to the service type.

In an exemplary embodiment of the present disclosure, based on the foregoing embodiments, the network requirement parameter further includes a network scale parameter; the model matching module 1402 may include a second matching model and a third matching module.

And the sample testing module is used for testing the multiple groups of samples, and taking the average value of the average frame lengths and the average value of the frame ratios of the multiple groups of samples as the data ratio indexes of the application types when the testing result meets the preset condition.

As each functional module of the network networking device in the exemplary embodiment of the present disclosure corresponds to the step of the exemplary embodiment of the network networking method, please refer to the above-mentioned embodiment of the network networking method in the present disclosure for details that are not disclosed in the embodiment of the device of the present disclosure.

Referring now to FIG. 15, shown is a block diagram of a computer system 1500 suitable for use in implementing the electronic devices of embodiments of the present disclosure. The computer system 1500 of the electronic device shown in fig. 15 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present disclosure.

As shown in fig. 15, the computer system 1500 includes a Central Processing Unit (CPU)1501 which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)1502 or a program loaded from a storage section 1508 into a Random Access Memory (RAM) 1503. In the RAM 1503, various programs and data necessary for system operation are also stored. The CPU 1201, the ROM 1502, and the RAM 1503 are connected to each other by a bus 1504. An input/output (I/O) interface 1505 is also connected to bus 1504.

The following components are connected to the I/O interface 1505: an input portion 1506 including a keyboard, a mouse, and the like; an output portion 1507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 1508 including a hard disk and the like; and a communication section 1509 including a network interface card such as a LAN card, a modem, or the like. The communication section 1509 performs communication processing via a network such as the internet. The drive 810 is also connected to the I/O interface 1505 as needed. A removable medium 1511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1510 as necessary, so that a computer program read out therefrom is mounted into the storage section 1508 as necessary.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 1509, and/or installed from the removable medium 1511. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 1501.

It should be noted that the computer readable media shown in the present disclosure may be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, 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), an optical fiber, 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 present 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. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart 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.

The units described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the network networking method as described in the above embodiments.

For example, the electronic device may implement the following as shown in fig. 2: step S21, acquiring network demand parameters of the service to be accessed to the network; step S22, matching a target network scene model corresponding to the service to be accessed through the network requirement parameters, wherein the target network scene model comprises network use data of the accessed service; step S23, calculating the packet forwarding rate of the target network scene model according to the network usage data; and step S24, determining the networking equipment of the service to be networked according to the packet forwarding rate, so as to construct the network of the service to be networked.

As another example, the electronic device may implement the various steps shown in fig. 3-7.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A networking method, comprising:

acquiring a network demand parameter of a service to be accessed to a network;

matching a target network scene model corresponding to the service to be accessed through the network demand parameters, wherein the target network scene model comprises network use data of the accessed service;

calculating the packet forwarding rate of the target network scene model according to the network use data;

and determining the networking equipment of the service to be accessed to the network according to the packet forwarding rate so as to construct the network of the service to be accessed to the network.

2. The method according to claim 1, wherein determining the networking device of the service to be networked according to the packet forwarding rate comprises:

determining routing equipment information required by the service to be accessed to the network according to the packet forwarding rate;

and determining the networking equipment of the service to be accessed to the network according to the routing equipment information.

3. The networking method according to claim 1, wherein the network requirement parameters include service parameters and application parameters of the service to be networked; the matching of the target network scene model corresponding to the service to be accessed through the network demand parameters comprises:

matching a scene model library through the service parameters to obtain a first network scene model matched with the service parameters, wherein the scene model library comprises a plurality of network scene models;

and matching a target network scene model from the first network scene model through the application parameters.

4. The network networking method according to claim 3, wherein before matching the target network scenario model corresponding to the service to be networked through the network requirement parameter, the method further comprises:

acquiring the service type and the application type of the accessed network service;

acquiring network use data corresponding to the service type;

and calculating the data proportion index of the application type according to the network use data so as to determine a network scene model corresponding to the service type.

5. The method of claim 3, wherein the network demand parameters further include a network size parameter; the matching of the target network scene model from the first network scene model through the application parameters comprises:

matching a second network scene model which is coincident with the application parameters from the first network scene model;

and matching a target network scene model with the same network scale parameter from the second network scene model.

6. The networking method of claim 4, wherein computing the data fraction indicator for the application type from the network usage data comprises:

and calculating the average frame length and the frame ratio of the application type according to the network usage data to obtain the data ratio index.

7. The networking method of claim 6, wherein computing the data fraction indicator for the application type from the network usage data comprises:

sampling for multiple times from the network with the network access service to acquire multiple groups of network use data;

respectively calculating the average frame length and the frame ratio of each group of network use data to obtain a plurality of groups of samples;

and testing the multiple groups of samples, and taking the average value of the average frame lengths and the average value of the frame ratios of the multiple groups of samples as the data ratio indexes of the application types when the testing results meet preset conditions.

8. A networking apparatus, comprising:

the network parameter acquisition module is used for acquiring the network requirement parameters of the service to be accessed to the network;

the model matching module is used for matching a target network scene model corresponding to the service to be accessed through the network demand parameters, wherein the target network scene model comprises network use data of the accessed service;

the index calculation module is used for calculating the packet forwarding rate of the target network scene model according to the network use data;

9. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the networking method of any of claims 1-7 via execution of the executable instructions.

10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the networking method according to any one of claims 1 to 7.