KR20090010264A - Data traffic generator for the analysis of network performance and quality of service, and method of the same - Google Patents

Abstract

A data traffic generating for an analysis of a network performance and a quality of service are provided to automatically generate a predetermined traffic by the user's intended manipulation. A service generation module(110) generates, deletes, and modifies the service by a user's intention. The service DB(120) stores the traffic model information of the target service and the service information generated with the service generation module. If the generating traffic about the specific service is requested from the QoS prediction and network performance analysis simulator(200), the generating traffic module(130) generates the traffic of the SDU(Service Data Unit) unit about the target service by using the information of the service DB. The corresponding traffic is separated according to packet-by-packet and traffic data of packet-by-packet is produced. The simulator is stored to the accessible traffic DB(140).

Description

Data traffic generator for the quality of service prediction and network performance analysis and its method {Data Traffic Generator for the Analysis of Network Performance and Quality of Service, and Method of the Same}

The present invention relates to service quality prediction and network performance analysis of a communication network, and more particularly, to a data traffic generation device and method for generating data traffic for network performance and service quality analysis simulation.

Simulation methodologies have been widely used for network performance analysis or service quality prediction. Traffic generation is an essential element of any simulator.

Existing traffic generation methods include message sending, actual traffic reuse, and traffic model usage.

The message sending method is a method of generating meaningful messages and sending them in order, and is used in a simulator for measuring the performance of a system that handles call processing or control. While this method is suitable for measuring the control performance of a system, it is not suitable for simulation to predict the quality of the capacity or service that the system can handle.

In addition, the measured traffic reuse method is a method of collecting measured traffic and reusing it as it is, and not only requires a large storage capacity, but also is not suitable for simulating a general environment.

In addition, the traffic model is used to generate traffic according to various traffic models, and most of the commercial simulation systems use this method.

However, the existing traffic model is based on the Poisson process based on the Erlang model, which makes it difficult to apply the data traffic model and limits the traffic definition to reflect the traffic characteristics of the service. There is a problem that is away from.

In addition, the conventional traffic model has a disadvantage in that it is difficult for a user to easily use the traffic generation model based on a complex packet-based call flow.

Accordingly, the present invention is to solve the above disadvantages and problems of the prior art, and provides an apparatus and method for generating data traffic that can specify the traffic in consideration of the service characteristics for the simulation of network performance and service quality prediction There is an object of the present invention.

In particular, the present invention provides a traffic list for each service classified according to the characteristics of the service, so that the user can automatically generate the designated traffic by selecting a traffic model that is an input element of the network simulation process from the traffic list. Providing network traffic generation device and method for predicting service quality and analyzing network performance that can generate traffic in various ways according to user's intention by enabling probability distribution and parameter adjustment for each traffic model It aims to do it.

In addition, the present invention classifies and provides a traffic model according to a service characteristic to represent most traffic generation patterns for the wireless Internet service, and to associate the basic unit of each traffic model with the service quality indicator to be measured through simulation It is an object of the present invention to provide an apparatus and method for generating network traffic for service quality prediction and network performance analysis, which are easy to measure various haptic quality indicators by including information of traffic generation units in the traffic generation itself.

In addition, another object of the present invention is to simplify the traffic model in units of traffic, so that traffic modeling is easier than in the conventional packet generation method.

The apparatus for generating data traffic for service quality prediction and network performance analysis of the present invention for achieving the above object provides a function for a user to create / delete / modify a service, and classifies a traffic model list classified according to service characteristics. A service generation module configured to generate a traffic model according to the traffic model list and a user designating a traffic model to be applied to a specific service and a probability distribution for each variable of the traffic model using the traffic model list; A service DB (Database) for storing each service information generated by the service generation module and traffic model information for each service; And a traffic generation module for generating traffic based on a traffic model for the corresponding service using information of the service DB when a service quality prediction and a network performance analysis simulation for a specific service are required. It includes.

The service generation module may include a DB / file manager configured to modify / check / delete a service list stored in the service DB and to store the service list in the service DB when a new service is created; A service traffic setting unit for generating a service by a user and setting a traffic model for the generated service; A user interface unit providing a GUI when setting a service and a traffic model; It may be made, including.

When the service information to be generated by the user is input, the service traffic setting unit outputs a list of traffic models classified according to service characteristics to select one or more subservice models (traffic models) to be applied to the corresponding service. Variable information about the subservice model can be provided and the user can specify the probability distribution model for each variable.

In this case, the service traffic setting unit receives one or more service information among a service name, a service class, a service layer, and subservice name information to be applied to the service, and selects a corresponding subservice model when the subservice name information is input. It is preferable to output a traffic model list for.

The user interface unit may provide a function of calculating a statistical value for traffic and a traffic occurrence checking function in a service setting process.

When the traffic generation module is requested to generate traffic for a specific service from a service quality prediction and network performance analysis simulator, the traffic generation module generates traffic in a service data unit (SDU) unit for the corresponding service by using the information of the service DB. Traffic data obtained by dividing the traffic of the service data unit into one or more packets may be stored in a traffic DB accessible by the simulator.

In this case, it is preferable that the traffic DB provides the traffic data to the simulator based on the traffic occurrence time information of each traffic data according to the simulation execution state of the simulator.

The traffic generation module generates traffic in units of a service data unit (SDU), which is a data unit that can be divided into one or more packets, and separates the traffic of the service data unit into one or more packets so as to generate SDU time information of the packet and the SDU. It is preferable to generate traffic data in a packet unit including one or more of serial number information, packet generation time information, and packet size information.

The traffic DB may be located in the traffic generating device or the simulator.

Another object of the present invention for achieving the above object is a method for generating data traffic for service quality prediction and network performance analysis simulation, the service information including the name of the service to be generated for service generation according to user intention Creating a service received from a user; A subservice model selection step of presenting a list of traffic models classified according to service characteristics and receiving at least one traffic model from the list as a subservice model by a user; And a traffic model setting step of presenting the selected variable for each subservice model and receiving a probability distribution for each variable from a user. It includes.

The service generation step may be a step of receiving one or more information of a service name, a description of a service, a service class, a service layer, and a subservice name as service information on a service to be generated.

The traffic model setting step may include a probability distribution model required when two or more probability distribution models are specified for a variable, a unit, a probability distribution model, and one variable of each variable related to traffic generation for the selected subservice model. It may be a step of receiving one or more of each weight information.

At this time, in the traffic model setting step, the process of designating the probability distribution model, the probability distribution model is designated by the user, the distribution parameters for each specified probability distribution model, the maximum / minimum value for specifying the truncation distribution, distribution And receiving one or more information of a scale value of and a shift value for movement of the distribution.

Also, in the traffic model setting step, the process of designating the probability distribution model may be a process of generating an arbitrary probability distribution model by a user.

In the traffic model setting step, the process of designating the probability distribution model may be a process of receiving traffic generation time or traffic size information from a user for using actual traffic data.

The setting of the traffic model may further include receiving a service quality related variable value required for each subservice model.

The traffic model setting step may further include displaying a graph of the probability density function of the corresponding distribution according to the designation of the probability distribution, and displaying one or more of an average value, a median value, and a standard deviation value for the corresponding probability distribution. desirable.

In this case, the process of displaying the graph may be a process of receiving graph display range designation information from a user and displaying a probability density function graph within a corresponding range.

The traffic model setting step may further include displaying a histogram by generating a random number according to a corresponding distribution when a probability distribution is designated.

In addition, the traffic model setting step may further include generating, simulating, and outputting the traffic according to the distribution if the probability distribution is designated.

On the other hand, the data traffic generation method of the present invention includes a service storage step of storing the service information and traffic model information for the generated service in a service DB; A traffic generation step of generating traffic based on a traffic model set for a corresponding service using information of the service DB when a service quality prediction and a network performance analysis simulation for the service are required; It may further include.

At this time, the traffic generation step, generating the traffic in the unit of the service data unit (SDU), which is a data unit that can be divided into one or more packets, and the traffic of the service data unit is divided into one or more packets to generate the SDU time of the packet The method may include generating traffic data in a packet unit including information, SDU serial number information, packet generation time information, and packet size information.

Another object of the present invention for achieving the above object is a method for generating data traffic for service quality prediction and network performance analysis simulation, from a user, a service name for the service to be generated, a description of the service, a service class, a service Receiving a service information of at least one of a layer and a subservice name; A second step of presenting a list of traffic models classified according to service characteristics, and receiving one or more traffic models selected from the list as a sub service model by a user; Receiving at least one of a unit, a probability distribution model, and weight information of each probability distribution model for each variable associated with generating traffic for the selected subservice model; A fourth step of receiving at least one information of a distribution parameter for each designated probability distribution model, a maximum / minimum value for designating a truncated distribution, a scale value of the distribution, and a shift value for moving the distribution; And a fifth step of generating traffic based on the traffic models generated as a result of the third and fourth steps and inputting it to the simulator. It includes.

Here, in the fifth step, the traffic is generated in units of a service data unit (SDU), which is a data unit that can be divided into one or more packets, and the traffic of the service data unit is divided into one or more packets to generate SDU time information of the packet. And generating traffic data in a packet unit including one or more of SDU serial number information, packet generation time information, and packet size information.

Therefore, according to the network traffic generating apparatus and method for the service quality prediction and network performance analysis of the present invention, by selecting the traffic model to be applied to the service to be generated from the traffic list for each service classified in advance according to the characteristics of the service Since it is possible to generate the traffic designated as, there is an effect that the traffic can be easily generated according to the service characteristics.

In addition, according to the present invention, since it is possible to specify the probability distribution for each variable and adjust parameters for the selected traffic model, the traffic can be generated in various ways according to the user's intention, and the traffic model can be varied according to service characteristics. Since it is classified and provided, it has an advantage that most traffic generation patterns for wireless Internet service can be expressed.

In addition, according to the present invention, the basic unit of the traffic model is associated with the service quality indicator to be measured in the simulation, and since the generated traffic data includes the information of the traffic generation unit, it is easy to measure various haptic quality indicators. It works.

In addition, according to the present invention, not only the existing Erlang distribution but also various probability distributions can be specified, and a user can create an arbitrary probability distribution model, and accordingly, self-similarity, thick-tail phenomenon, and burstiness found in the data traffic. The advantage is that it can be implemented.

In addition, in the present invention, by simplifying the traffic model by the traffic unit, it is possible to easily model the traffic through the concept of service compared to the traffic generation method of the existing packet unit, and the traffic generation method is concise to measure the quality of the network and service It is expected that the software load on traffic generation will be reduced, and the simulation time will be shortened.

Details of the above object and technical configuration of the present invention and the resulting effects thereof will be more clearly understood from the following detailed description based on the accompanying drawings.

First, FIG. 1 is a configuration diagram of a traffic generation apparatus according to an embodiment of the present invention, FIG. 2 is a configuration diagram of the service generation module of FIG. 1, and FIG. 3 is one embodiment of an occurrence data format of the traffic generation module of FIG. 1. It is an illustration.

As shown in FIG. 1, the traffic generation apparatus 100 of the present invention includes a service generation module 110, a service DB 120, a traffic generation module 130, and a traffic DB 140.

The service generation module 110 is a module that performs a function of allowing a user to create, delete, and modify a service according to a user's intention. The service generation module 110 presents a list of traffic models classified according to service characteristics, and a user presents the traffic. By using the model list, the traffic model to be applied to the service to be created and the probability distribution for each variable of the corresponding traffic model are specified, thereby generating a corresponding traffic model.

For example, if a simulation for the VOD streaming service is required, modeling of traffic generated by the provision of the VOD streaming service is required, and for this purpose, the user uses the service generation module 110 to model a traffic model for the VOD streaming service. Can be generated. The traffic of the VOD streaming service may be composed of video traffic and audio traffic. In this case, the user may determine a traffic model for each of the video traffic and the audio traffic through the service generation module 110 for the corresponding VOD streaming service. By designating the probability distribution of the variable to represent the traffic, the traffic modeling suitable for the VOD streaming service is performed.

Meanwhile, the service generation module 110 may include a DB / file manager 111, a service traffic setup unit 112, and a user interface 113 as shown in FIG. 2.

The DB / file manager 111 provides a function of loading a list of services stored in the service DB 120, that is, a list of previously generated services, and modifying / checking / deleting them. When a new service is created, the service DB ( In step 120), the corresponding service information is stored.

The service traffic setting unit 112 is a block for creating a service by the user and setting up a traffic model for the generated service, so that the user can select and change various parameters to set a traffic model so as to create a desired traffic model. do.

In detail, the service traffic setting unit 112 selects a subservice model (traffic model) to be applied to the corresponding service by outputting a list of traffic models classified according to service characteristics when service information to be generated by the user is input. It provides the variable information about the selected subservice model and allows the user to specify the probability distribution model for each variable.

Here, the service information input by the user may include a service name, a service class, a service layer, and a sub service name to be applied to the service. When the sub service name information is input, the service traffic setting unit 112 may transmit the corresponding sub service. Outputs a traffic model list for service model selection.

In this case, like the above-described VOD streaming service, one service may include two or more subservices, and thus a user may select two or more traffic models to apply to a specific service, that is, a subservice model.

The user interface unit 113 is a block that provides an interface with the user terminal 300. The user interface unit 113 provides a GUI for setting a service and a traffic model, and calculates statistical values for traffic and confirms simple traffic generation during service setting. Perform.

Meanwhile, the service information generated by the service generation module 110 and the traffic model information of the corresponding service as described above are stored in the service DB 120 through the DB / file manager 111.

The traffic generation module 130, when a traffic generation for a specific service is requested from the simulator 200 for service quality prediction and network performance analysis, uses the information of the service DB 120 to provide an SDU (service data unit) for the corresponding service. Generates traffic in units of), generates the traffic data in units of packets by separating the traffic into units of packets, and stores the traffic data in the accessible traffic DB 140 of the simulator 200.

That is, the traffic generation result is packet unit data having a format of text, XML, DAT, and the like, and the generated data format includes SDU generation time, packet generation time, packet size, and SDU sequence number information as shown in FIG. It may be in the form of inclusion. Here, the SDU refers to a service data unit, and one service data unit may be divided into one or more packets.

The traffic DB 140 provides traffic to the simulator 200 based on the traffic occurrence time information of each traffic data according to the simulation execution state of the simulator 200.

Although the drawing shows that the traffic DB 140 is included in the traffic generating apparatus 100, the traffic DB 140 may be located in the simulator 200, and the simulator 200 traffics the traffic DB 140 according to its simulation execution state. The simulation operation is performed by inputting data.

4 is a flowchart sequentially illustrating a traffic generation method according to an embodiment of the present invention.

As shown, the data traffic generation method of the present invention first generates a service by inputting service information (name, class, layer, subservice name, etc.) to be generated for the simulation (S501), and the traffic of the present invention. The generation device 100 presents a list of traffic models classified according to service characteristics so as to select a subservice model to be applied to the corresponding service, and receives from the user one or more traffic models among the presented lists as the subservice model (S503). ).

As mentioned above, a plurality of subservice models for one service may be selected.

Next, the traffic generating apparatus 100 of the present invention proposes a variable for each selected subservice model (S505), and performs a traffic model setting process for receiving a probability distribution for each subservice model from a user (S505). S507).

In this case, the process of receiving a probability distribution may include: first, a user selecting one or more probability distribution models to use for a corresponding variable among various probability distribution models provided by the traffic generating apparatus 100, a unit of a variable, and one variable For example, when two or more probability distribution models are specified, operations including receiving weight information for each probability distribution model and the like are specified.

In addition, when a specific probability distribution model is selected, the traffic generating apparatus 100 of the present invention performs a distribution parameter for the corresponding probability distribution model, a maximum / minimum value for designating a truncated distribution, a scale value of the distribution, and a movement of the distribution. The user can specify various parameter values for determining a probability distribution such as a shift value for the user. This operation is also included in a process of receiving a probability distribution, that is, in a traffic model setting process (S507).

When the traffic model setting is completed as described above, the traffic generating apparatus 100 of the present invention displays a graph according to the set traffic model so that the user can check the traffic model through the graph (S509). When the traffic model setting for the new service is completed, the corresponding traffic model information is mapped with the service information and stored in the service DB (S511).

On the other hand, in the present invention, the probability distribution model is based on being able to be selected from a predetermined probability distribution model as described above, so that any probability distribution model can be generated by the user, or to use the measured traffic It is desirable to.

To this end, the traffic generating apparatus 100 of the present invention enables the user model (CUSTOM MODEL) to be selected as the probability distribution model, and when the user model is selected, the control point value is designated to indicate the probability that the user intends through the graph. A distribution model can be created, and a probability distribution model is formed from the actual traffic by receiving traffic generation time or traffic size information from a user to use the measured traffic data.

Next, the functions and the traffic generating method of the traffic generating apparatus of the present invention will be described in detail with reference to FIGS. 5 to 15.

First, Figure 5 is an embodiment showing an initial execution screen of the traffic generating device.

As shown, the initial execution screen displays a list of previously created services, a menu for defining a new service, a menu for modifying an existing service, a menu for copying or removing an existing service, and a service file from outside. There are menus for importing and exporting to a file for external transfer.

FIG. 6 is a screen when a menu for defining a new service is selected in the initial execution screen of FIG. 5. The template for inputting a name and description of a service to be defined and a service to be created (defined) are applied. A template for setting a traffic model (subservice model) and the like are shown.

As mentioned previously, one service may consist of two discrete subservices, in which case the user selects a traffic model (TYPE) for each subservice and names the subservice.

As shown in the figure, traffic models applied to the wireless Internet service may include a streaming service model, a swap service model, an MMS service model, an instant messaging service model, a bit stream service model, a voice service model, a PC internet service model, and the like. In the figure, eight types are illustrated as traffic models, but the present invention is not limited thereto.

7 shows embodiments of a traffic model provided by the apparatus for generating traffic of the present invention. As shown in the figure, each traffic model has different variables and different traffic generation patterns, and the user selects the most appropriate traffic model according to the characteristics of the new service to be created and adjusts the related variables. Perform modeling.

8 is a screen for designating a variable to be designated according to a corresponding traffic model when a specific traffic model is selected.

As shown in the figure, when the traffic model of TYPE 1 corresponding to the streaming service is selected, the size and inter-arrival time of the SDU (Service Data Unit) must be specified. Probability distributions and weights can be specified. Here, the weighted value refers to a weighted value of each distribution when a mixture of two distributions, that is, a mixed distribution, is to be taken for one variable.

On the other hand, as shown in the figure, when specifying the probability distribution for the parameters of each traffic model, it is also possible to input the service quality-related variable value required for each traffic model.

9 is a screen for selecting a probability distribution model for each variable and specifying detailed parameters for the selected model.

As shown, after selecting and naming the probability distribution model, the user can select the distribution parameter for each specified probability distribution model, the maximum / minimum value for specifying the truncation distribution, the scale value of the distribution, and the movement of the distribution. A probability distribution is specified by inputting or modifying information such as a shift value.

10 is a diagram for explaining an example of specifying a probability distribution.

As shown, the traffic generating apparatus 100 of the present invention displays a probability density function (PDF) graph of a specified distribution and information such as an average value, a median value, and a standard deviation value for the corresponding probability distribution.

In addition, the user may designate a graph display range, and when the distribution parameter and the maximum / minimum cut parameter are specified when the cut distribution is specified, the cutouts are set as shown in the PDF of FIG. 10. When the scale value and the shift value are adjusted, the size of the distribution and the X-axis movement are made.

FIG. 11 illustrates an embodiment in which a user designates an arbitrary distribution by selecting a user model (CUSTOM) as a probability distribution model, and may set an arbitrary distribution by setting a control point value.

Import / Export menu is for using externally specified distribution or importing external data. Apply menu is for modifying drawing parameters and selecting the corresponding menu. Calculate menu.

And, the Verify menu is a menu for displaying a PDF and histogram by generating a random number according to the actual distribution as shown in FIG.

13 to 15 are diagrams for explaining an embodiment in which two distributions are mixed. As shown in FIG. 13, when two distributions shown in FIG. 13 are mixed to set weight values and designated as one distribution, FIG. 14 and FIG. The same distribution is generated, and the PDF and statistical values of the mixed distribution as shown in FIG. 14 can be checked through the View menu, and the Simulation menu shows traffic generation patterns by generating traffic with the designated traffic model as shown in FIG. 15.

As those skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing the technical spirit or essential features, the embodiments described above should be understood as illustrative and not restrictive in all aspects. Should be. The scope of the present invention is shown by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

The apparatus and method for generating data traffic of the present invention described above may be applied to a simulator or a data traffic generator for simulation of network performance and quality of service prediction, and may be implemented in the form of a program installed or installed in such apparatus.

In addition, the present invention is used to variously generate the traffic that is an input element of the network simulation process according to the user's intention, and can be applied to a device that needs to generate various traffic according to the characteristics of the service.

1 is a block diagram of a traffic generating apparatus according to an embodiment of the present invention,

2 is a configuration diagram of a service generation module of FIG. 1;

3 is a diagram illustrating an embodiment of a generation data format of the traffic generation module of FIG. 1;

4 is a flowchart sequentially illustrating a traffic generation method according to an embodiment of the present invention;

5 to 15 is an embodiment for explaining the operation of the traffic generating apparatus of the present invention.

<Description of Symbols for Main Parts of Drawings>

100: traffic generating device 110: service generation module

111: DB / file management section 112: service traffic setting section

113: user interface unit 120: service DB

130: traffic generation module 140: traffic DB

200: simulator 300: user terminal

Claims (37)

Data traffic generation device for service quality prediction and network performance analysis. The user can create / delete / modify a service, present a list of traffic models classified according to service characteristics, and use the traffic model list to select a traffic model and a corresponding traffic model to apply to a specific service. A service generation module that performs a function of generating a corresponding traffic model by designating a probability distribution for each variable; A service DB (Database) for storing each service information generated by the service generation module and traffic model information for each service; And A traffic generation module for generating traffic based on a traffic model for a corresponding service using information of the service DB when a service quality prediction and a network performance analysis simulation for a specific service are required; Apparatus for generating data traffic for service quality prediction and network performance analysis comprising a. The method of claim 1, The service generation module, A DB / file management unit responsible for modifying / checking / deleting a service list stored in the service DB and storing the service list in the service DB when a new service is created; A service traffic setting unit for generating a service by a user and setting a traffic model for the generated service; A user interface unit providing a GUI when setting a service and a traffic model; Apparatus for generating data traffic for service quality prediction and network performance analysis comprising a. The method of claim 2, The service traffic setting unit, When the service information to be created is input by the user, a list of traffic models classified according to the service characteristics is output so that one or more subservice models (traffic models) to be applied to the corresponding service can be selected, and variable information on the selected subservice model is provided. Apparatus for generating data traffic for service quality prediction and network performance analysis, characterized in that to provide a user and specify a probability distribution model for each variable. The method of claim 3, The service traffic setting unit, Receiving at least one service information among a service name, a service class, a service layer, and subservice name information to be applied to the service, and when the subservice name information is input, outputting a traffic model list for selecting a corresponding subservice model; A device for generating data traffic for service quality prediction and network performance analysis. The method of claim 2, The user interface unit, A device for generating data traffic for service quality prediction and network performance analysis, characterized in that it provides a function for calculating a statistical value for traffic and a traffic occurrence checking function in a service setting process. The method of claim 1, The traffic generation module, When the generation of traffic for a specific service is requested from the service quality prediction and network performance analysis simulator, the traffic data for the corresponding service is generated using the information of the service DB and stored in the accessible traffic DB of the simulator. Device for generating data traffic for predicting service quality and analyzing network performance. The method of claim 6, The traffic DB, According to the simulation execution state of the simulator, the data traffic generating apparatus for the service quality prediction and network performance analysis, characterized in that providing the traffic data to the simulator based on the traffic occurrence time information of each traffic data. The method according to claim 6 or 7, The traffic generation module generates traffic in units of a service data unit (SDU), which is a data unit that can be divided into one or more packets, and generates traffic data in packet units by separating the traffic of the service data unit into one or more packets. , The traffic data, An apparatus for generating data traffic for service quality prediction and network performance analysis comprising at least one of SDU generation time information, SDU serial number information, packet generation time information, and packet size information. The method according to claim 6 or 7, The traffic DB is a data traffic generation device for service quality prediction and network performance analysis, characterized in that located in the traffic generating device or the simulator. A method of generating data traffic for quality of service prediction and simulation of network performance analysis. A service generation step of receiving service information from a user, the service information including a name of a service to be generated, for creating a service according to a user's intention; A subservice model selection step of presenting a list of traffic models classified according to service characteristics and receiving at least one traffic model from the list as a subservice model by a user; And A traffic model setting step of presenting the selected variable for each subservice model and receiving a probability distribution for each variable from a user; Data traffic generation method for service quality prediction and network performance analysis comprising a. The method of claim 10, The service generation step, Generating data traffic for service quality prediction and network performance analysis, comprising the step of receiving one or more information of a service name, a description of a service, a service class, a service layer, and a subservice name as service information on a service to be generated. Way. The method of claim 10, The traffic model setting step, For each variable related to traffic generation for the selected subservice model, one or more of the unit information, the probability distribution model, and the weight information for each probability distribution model required when two or more probability distribution models are specified for one variable. Data traffic generation method for the service quality prediction and network performance analysis, characterized in that the step of receiving. The method of claim 12, In the traffic model setting step, In the process of designating the probability distribution model, a probability distribution model is designated by a user, distribution parameters for each of the specified probability distribution models, a maximum / minimum value for designating a truncation distribution, a scale value of a distribution, and movement of a distribution. A method of generating data traffic for service quality prediction and network performance analysis, comprising: receiving one or more pieces of information of a shift value. The method of claim 12, In the traffic model setting step, The process of designating the probability distribution model is a process of generating an arbitrary probability distribution model by a user. The method of claim 12, In the traffic model setting step, The process of designating the probability distribution model is a process of receiving a traffic generation time or traffic size information from a user for using actual traffic data. The method of claim 10, The traffic model setting step, And a step of receiving a service quality related variable value required for each sub service model. The method according to any one of claims 10 to 16, The traffic model setting step, Displaying the probability density function graph of the corresponding distribution according to the designation of the probability distribution, and displaying at least one of the mean, median, and standard deviation value for the probability distribution, characterized in that the service quality prediction and network performance How to generate data traffic for analysis. The method of claim 17, The displaying of the graph may include receiving graph display range designation information from a user, and displaying a probability density function graph within a corresponding range. The method according to any one of claims 10 to 16, The traffic model setting step, If the probability distribution is specified, generating a random number according to the distribution, and displaying the histogram, characterized in that it further comprises the step of generating data traffic for service quality prediction and network performance analysis. The method according to any one of claims 10 to 16, The traffic model setting step, If a probability distribution is specified, generating traffic according to the distribution, simulating the output, and outputting the results. The method for generating data traffic for service quality prediction and network performance analysis. The method according to any one of claims 10 to 16, The traffic generation method, A service storage step of storing service information and traffic model information on the generated service in a service DB; A traffic generation step of generating traffic based on a traffic model set for a corresponding service using information of the service DB when a service quality prediction and a network performance analysis simulation for the service are required; Method for generating data traffic for service quality prediction and network performance analysis, characterized in that further comprises. The method of claim 21, The traffic generation step, Generating traffic in units of a service data unit (SDU), which is a data unit that can be divided into one or more packets, and separating the traffic of the service data unit into one or more packets, thereby generating SDU time information, SDU serial number information, And generating traffic data in a packet unit including at least one of packet generation time information and packet size information. A method of generating data traffic for service quality prediction and network performance analysis simulation. A first step of receiving, from a user, at least one service information of a service name, a description of a service, a service class, a service layer, and a subservice name of a service to be generated; Presenting a traffic model list classified according to service characteristics, and receiving at least one traffic model selected from the list as a sub service model by a user; Receiving at least one of a unit, a probability distribution model, and weight information of each probability distribution model for each variable associated with generating traffic for the selected subservice model; A fourth step of receiving at least one information of a distribution parameter for each designated probability distribution model, a maximum / minimum value for designating a truncated distribution, a scale value of the distribution, and a shift value for moving the distribution; And A fifth step of generating traffic based on the traffic models generated as a result of the third and fourth steps and inputting it to the simulator; Data traffic generation method for service quality prediction and network performance analysis comprising a. The method of claim 23, wherein The fifth step, Generating traffic in units of a service data unit (SDU), which is a data unit that can be divided into one or more packets, and separating the traffic of the service data unit into one or more packets, thereby generating SDU time information, SDU serial number information, And generating traffic data in a packet unit including at least one of packet generation time information and packet size information. A computer-readable recording medium for generating data traffic for service quality prediction and network performance analysis simulations. A service generation function for receiving service information from a user, the service information including at least one of a name of a service to be created, a description of a service, a service class, a service layer, and a subservice name for generating a service according to a user's intention; A subservice model selection function for presenting a list of traffic models classified according to service characteristics and receiving at least one traffic model from the list as a subservice model by a user; A traffic model setting function for presenting the selected variable for each subservice model and receiving a probability distribution for each variable from a user; A computer-readable recording medium that records a program for executing the program. The method of claim 25, The traffic model setting function, For each variable related to traffic generation for the selected subservice model, one or more of the unit information, the probability distribution model, and the weight information for each probability distribution model required when two or more probability distribution models are specified for one variable. A computer-readable recording medium comprising a designated function. The method of claim 26, The function that is assigned the probability distribution model is, A probability distribution model is designated by the user, and at least one of distribution parameters for each specified probability distribution model, a maximum / minimum value for specifying a truncation distribution, a scale value of the distribution, and a shift value for moving the distribution A computer-readable recording medium, characterized in that the function for receiving information. The method of claim 26, The function that is assigned the probability distribution model is, Computer-readable recording medium, characterized in that for generating a random distribution model by the user. The method of claim 26, The function that is assigned the probability distribution model is, A computer-readable recording medium, characterized in that a function of receiving traffic generation time or traffic size information from a user to use actual traffic data. The method of claim 25, The traffic model setting function, And a function for receiving a service quality related variable value required for each sub service model. The method according to any one of claims 25 to 30, The traffic model setting function, A computer readable recording function of displaying a probability density function graph of a corresponding distribution according to a designation of a probability distribution, and displaying one or more of an average value, a median value, and a standard deviation value for the probability distribution. media. The method according to any one of claims 25 to 30, The traffic model setting function, And if a probability distribution is specified, generating a random number according to the distribution and displaying a histogram. The method according to any one of claims 25 to 30, The traffic model setting function, If a probability distribution is specified, the computer-readable recording medium comprising the function of generating, simulating, and outputting the traffic according to the distribution. The method according to any one of claims 25 to 30, The traffic generation function, A service storage function for storing service information and traffic model information of the generated service in a service DB; A traffic generation function for generating traffic based on a traffic model set for a corresponding service using information of the service DB when a service quality prediction and a network performance analysis simulation for the service are required; Computer-readable recording medium comprising a. The method of claim 34, wherein The traffic generation function, Generating traffic in units of a service data unit (SDU), which is a data unit that can be divided into one or more packets, and separating the traffic of the service data unit into one or more packets, thereby generating SDU time information, SDU serial number information, And a function of generating traffic data in units of packets including at least one of packet generation time information and packet size information. A computer-readable recording medium for generating data traffic for service quality prediction and network performance analysis simulations. A first function of receiving, from a user, at least one service information of a service name, a description of a service, a service class, a service layer, and a subservice name of a service to be generated; A second function of presenting a list of traffic models classified according to service characteristics and receiving at least one traffic model from the list as a subservice model by a user; A third function for receiving at least one of a unit, a probability distribution model, and weight information for each probability distribution model of the variable, for each variable related to traffic generation for the selected subservice model; A fourth function of receiving at least one information of a distribution parameter for each designated probability distribution model, a maximum / minimum value for designating a truncation distribution, a scale value of the distribution, and a shift value for moving the distribution; And A fifth function of generating traffic and inputting it to a simulator based on the traffic models generated as a result of the third and fourth steps; A computer-readable recording medium that records a program for executing the program. The method of claim 36, The fifth function is, Generating traffic in units of a service data unit (SDU), which is a data unit that can be divided into one or more packets, and separating the traffic of the service data unit into one or more packets, thereby generating SDU generation time information, SDU serial number information, And a function of generating traffic data in units of packets including at least one of packet generation time information and packet size information.

Images