KR100900946B1 - Method and Server for Collecting Data Traffic Pattern of Wireless Internet Data Service - Google Patents

Abstract

The present invention relates to a method and a server for collecting a data traffic pattern of a wireless Internet data service.

According to the present invention, the traffic pattern information and statistical data (daily statistical data for each major service, daily statistical data for each service, and time zone) are analyzed by processing and analyzing data packets as well as traffic generation in the wireless Internet data service provided by a synchronous or asynchronous mobile communication system. The present invention provides a method and server for collecting data traffic patterns of a wireless Internet data service for generating statistical data and statistical data for each host) and analyzing user usage patterns and traffic generation patterns.

According to the present invention, the mobile communication service provider can collect traffic patterns for each service, and thus it is not only effective to collect operational information and management information, but also can be classified into IP / Port information, application protocol, and user ID of a server. There is an effect that can accurately analyze traffic patterns and save storage capacity.

Wireless Internet, Data Traffic, Pattern Collection, Processing, Analysis

Description

Method and Server for Collecting Data Traffic Pattern of Wireless Internet Data Service

1 is a block diagram schematically illustrating a system for collecting a data traffic pattern of a wireless Internet data service according to an embodiment of the present invention;

2 is a block diagram schematically illustrating a data traffic collection server according to a preferred embodiment of the present invention;

3 is a flowchart illustrating a method of collecting a data traffic pattern of a wireless Internet data service according to an embodiment of the present invention;

4 is an exemplary diagram showing basic data divided by sessions according to an embodiment of the present invention;

5 is an exemplary diagram illustrating basic data classified according to objects according to an exemplary embodiment of the present invention.

<Description of Symbols for Main Parts of Drawings>

110: synchronous mobile communication terminal 120: synchronous mobile communication system

130: asynchronous mobile communication terminal 140: asynchronous mobile communication system

150: data traffic collection server 160: IP network

170: content provider

The present invention relates to a method and a server for collecting a data traffic pattern of a wireless Internet data service.

More specifically, by processing and analyzing the data packets as well as the traffic volume in the wireless Internet data service provided by the synchronous or asynchronous mobile communication system, traffic pattern information and statistical data (daily statistical data for each major service, daily statistical data for each service, time The present invention relates to a method and a server for collecting data traffic patterns of a wireless Internet data service for generating statistical data and statistical data for each host) and analyzing user usage patterns and traffic generation patterns.

As information technology advances to the information society, the Internet is becoming an important and essential medium in all fields such as society, culture, and economy. Recently, with the development of communication and network technology, various kinds of content services using wired and wireless Internet, for example, services such as chat, clubs, games, shopping malls, and the like, have been provided. These various content services are online services that enable various activities such as conversations, games, purchases, sales, etc. with remote counterparts in real time, and the development and distribution speeds of services are rapidly increasing due to the spread of demand groups.

The above-described online service is provided through a wired / wireless communication network. In particular, a wired / wireless communication network, in particular, a wireless communication network, is very poor in wireless communication resources compared to wired communication resources due to environmental limitations such as wireless. Therefore, when providing an online service using a wireless communication network, the communication speed is significantly lowered and the service satisfaction of the user of the service terminal using the online service is also lowered.

Recently, with the development of wireless communication technology, a CDMA2000 1x EV-DO system, a WiBro (Wireless Internet Broadband) system, a High Speed Downlink Packet Access (HSDPA) system, and the like have been developed. Although the transmission speed has been greatly improved, and wired communication technology has evolved to improve the data communication speed and processing speed using the wired communication network, but considering the characteristics of the online service that needs to send and receive large amounts of data in real time, The speed of data communication is still below expectations.

In this situation, the mobile service provider not only provides more optimal call quality to the mobile service subscribers, but also monitors the traffic data of the wireless Internet data service in order to optimize and provide wireless data quality due to the wireless Internet access. In addition, it generates and manages various statistical information for operation.

As a technology for monitoring the quality of the conventional wireless Internet wireless data service and generating and managing various statistical analysis information, data collection technology using NMS (Network Management System) and data collection technology using billing system for data packets Or data collection technology using other analytical equipment.

Conventional data collection technology using NMS can collect the traffic generation of a simple wireless Internet service, and has a disadvantage in that it is not possible to determine which application the user used for each time zone by dividing the user by each data packet. In addition, the data collection technology using the charging system for the conventional data packet can distinguish the types of data packets of the wireless Internet service and collect the generated traffic, but cannot analyze the usage pattern and the traffic generation pattern of the user. There was a downside. In addition, the conventional data collection technology using other analysis equipment is capable of in-depth analysis of the data packet generation pattern, but it is a test equipment, and has the disadvantage that it cannot analyze the statistically significant usage pattern generated by the actual user. .

In order to solve the above problems, the present invention processes and analyzes the data packets as well as the traffic generation amount in the wireless Internet data service provided by the synchronous or asynchronous mobile communication system. The purpose of the present invention is to provide a method and server for collecting data traffic patterns of the wireless Internet data service, which generates daily statistics data, hourly statistics data, and statistics data by host) to analyze user usage patterns and traffic generation patterns. have.

A server for collecting a data traffic pattern to achieve the above object, the server comprising: a communication unit for receiving a data packet in association with a synchronous mobile communication system or an asynchronous mobile communication system; Generate classification information by dividing the packet data into L4 units using L3 (Network Layer) / L4 (Transport Layer) header information, and generate service classification information that classifies a service corresponding to the classification information from service data. After receiving a diameter account (Diameter Account), filtering generates a UDR (Usage Data Record), extracts the L3 / L4 header information from the service classification information, and uses the CDR (Correlation) of the CDR A data analyzer generating a Call Detail Record or a Contents Detail Record; A data processing unit generating basic data classified by the CDR according to a large classification service system, and generating statistical data using the basic data; And a data storage unit configured to store the basic data and the statistical data.

In addition, according to another object of the present invention, in the method for the data traffic collection server to collect the data traffic pattern in conjunction with the synchronous mobile communication system or asynchronous mobile communication system, (a) the synchronous mobile communication system or the asynchronous mobile communication Receiving a data packet from a system; (b) generating classification information by dividing the data packet into L4 units using L3 / L4 header information; (c) classifying a service corresponding to the classification information by comparing with service data to generate service classification information; (d) receiving and filtering the diameter account to generate a UDR; (e) extracting IP / Port information from the service classification information to generate a CDR using the correlation of the UDR; generating basic data by dividing the CDRs according to a classification service classification scheme; And (g) provides a method for collecting data traffic patterns of the wireless Internet data service comprising the step of generating statistical data using the basic data.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. First of all, in adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are used as much as possible even if displayed on different drawings. In addition, in describing the present invention, when it is determined that the detailed description of the related well-known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

1 is a block diagram schematically illustrating a system for collecting a data traffic pattern of a wireless Internet data service according to a preferred embodiment of the present invention.

A system for collecting a data traffic pattern of a wireless Internet data service according to a preferred embodiment of the present invention includes a synchronous mobile communication terminal 110, a synchronous mobile communication system 120, an asynchronous mobile communication terminal 130, an asynchronous mobile communication system ( 140, a data traffic collection server 150, an IP network 160, and a content provider 170.

The synchronous mobile communication terminal 110 is connected to the synchronous mobile communication system 120 and performs a function of performing a typical voice call and data communication by wireless communication.

The synchronous mobile communication terminal 110 may be a personal digital assistant (PDA), a cellular phone, a personal communication service (PCS) phone, a hand-held PC (GPS), a global system for mobile (GSM) phone, a wideband W-CDMA CDMA) phone, CDMA-2000 phone, Mobile Broadband System (MBS) phone and the like. Here, MBS phone refers to a mobile phone to be used in the fourth generation system currently being discussed.

The synchronous mobile communication system 120 includes a base station transmitter 122, a base station controller 124, a packet controller (PCF: Packet Control Function, hereinafter referred to as 'PCF') 125, a synchronous mobile communication switching center 126, and packet data. A packet data serving node (PDSN) (hereinafter referred to as PDSN) 128 is provided, and is wirelessly connected to the synchronous mobile communication terminal 110, the data traffic collection server 150 and the IP network 160. It performs various functions to perform mobile communication services such as voice communication service, wireless data service or wireless internet service, and message service.

Here, the base station transmitter 122 may be a base transceiver station (BTS) because it is used in a synchronous system, and the base station controller 124 may be a base station controller (BSC). In addition, the base station transmitter 122 and the base station controller 124 perform the location registration function of the synchronous mobile communication terminal 110, a function of allocating a radio channel, and various functions required for radio call processing such as handoff. The synchronous mobile telecommunication switching center 126 performs basic and additional service processing for providing a voice communication service, incoming and outgoing call processing of a subscriber, location registration procedure and handoff procedure, and interworking with other networks.

The PCF 125 is connected to the base station controller 124 and the PDSN 128 to perform a function of setting / maintaining / releasing a connection with the PDSN 128, and to transmit the base station controller 124 for packet data transmission. Resource allocation is required, and charging information is collected and transmitted to the PDSN 128.

The PDSN 128 interworks with the PCF 125, the data traffic collection server 150, and the IP network 160, and the synchronous mobile communication terminal 110 transmits the content provider 170 via the synchronous mobile communication system 120. In the process of receiving a data packet from the data packet relay function. In addition, the PDSN 128 transmits a data packet of the synchronous mobile communication system 120 to the data traffic collection server 150.

The asynchronous mobile communication terminal 130 is connected to the asynchronous mobile communication system 140 to perform a function of performing a normal voice call and data communication by wireless communication.

The asynchronous mobile communication terminal 130 may be a personal digital assistant (PDA), a cellular phone, a personal communication service (PCS) phone, a hand-held PC (GPS), a global system for mobile (GSM) phone, a wideband W-CDMA (Wideband). CDMA) phone, CDMA-2000 phone, Mobile Broadband System (MBS) phone and the like. Here, MBS phone refers to a mobile phone to be used in the fourth generation system currently being discussed.

The asynchronous mobile communication system 140 includes a base station transmitter 142, a base station controller 144, an asynchronous mobile communication switching center 146, a Serving GPRS Support Node (SGSN) 147, and a General Packet Packet Packet (GPRS). Radio Service (hereinafter referred to as GPRS) 148 and a Packet Gateway Support Node (GGSN) (GGSN) (149), and a wireless connection to the asynchronous mobile terminal 130 The mobile station performs various functions such as voice communication service, wireless data service or wireless internet service, and message service between the data traffic collection server 150 and the IP network 160.

Since the base station transmitter 142 is used in an asynchronous system, the base station transmitter 142 may be a radio transceiver subsystem (RTS), and the base station controller 144 may be a radio network controller (RNC). In addition, the base station transmitter 142 and the base station controller 144 perform location registration functions of the asynchronous mobile communication terminal 130, a function of allocating a radio channel, and various functions required for radio call processing such as handoff. The asynchronous mobile communication switching center 146 performs basic and additional service processing for providing a voice communication service, incoming and outgoing call processing of a subscriber, location registration procedure and handoff procedure, and interworking with other networks.

The SGSN 147 cooperates with the base station controller 144 and the GPRS 148 and maintains a location track of the asynchronous mobile communication terminal 130 and performs access control and security functions.

The GPRS 148 is connected to the SGSN 147 and the GGSN 149 and performs a function of relaying various data transmissions between the SGSN 147 and the GGSN 149.

The GGSN 149 interworks with the GPRS 148, the data traffic collection server 150, and the IP network 160, and the asynchronous mobile communication terminal 130 passes the content provider 170 via the asynchronous mobile communication system 140. In the process of receiving a data packet from the data packet relay function. In addition, the GGSN 149 performs a function of transmitting a data packet of the asynchronous mobile communication system 140 to the data traffic collection server 150.

According to a preferred embodiment of the present invention, the data traffic collection server 150 receives a data packet and a diameter account from the synchronous mobile communication system 120 or the asynchronous mobile communication system 140, and then processes and analyzes the real time traffic for each service. Performs a function to generate pattern collection items and statistical data about them. Here, the statistical data may include one or more of the daily statistical data for each major classification service, daily statistical data for each service, hourly statistical data, and host-specific statistical data, and specific methods of generating the statistical data will be described with reference to FIG. 2 below. do.

The data traffic collection server 150 may be connected to the PDSN 128 of the synchronous mobile communication system 120 or the rear end switch of the GGSN 149 of the asynchronous mobile communication system 140 to receive the data packet. As merely illustrative of the technical spirit of the present invention, those skilled in the art to which the present invention belongs, the data traffic collection server 150 and PDSN 128 or the like without departing from the essential characteristics of the present invention or The connection method of the GGSN 149 may be variously modified and modified.

For example, the data traffic collection server 150 is connected to the back switch of the PDSN 128 or the GGSN 149 so that the synchronous mobile communication terminal 110 or the asynchronous mobile communication terminal 140 uses the wireless Internet service. It can receive all data packets originating from.

Detailed description of the components of the data traffic collection server 150 will be described with reference to FIG. 2 below, and a detailed description of the operation method of the data traffic collection server 150 will be provided with reference to FIG. 3 below.

The IP network 160 is a network for connecting the PDSN 128, the GGSN 149, the data traffic collection server 150, the content provider 170, and the like, and the data between all components connected to the IP network 160. It relays the transmission.

The content provider 170 is one or more server concepts for providing content to the synchronous mobile communication terminal 110 or the asynchronous mobile communication terminal 130. In the present invention, the content provider 170 will be described as an integrated content provider.

The content provider 170 includes a handset browsing service server 172, a VOD server 174, and other content providing server 176. Here, the handset browsing service server 172 may provide a function of providing page-type content to the synchronous mobile communication terminal 110 or the asynchronous mobile communication terminal 130 among wireless Internet services, that is, a server providing handset browsing (service). it means. In other words, handset browsing (service) is a concept encompassing WAP, ME, I-Mode, and all future page-type wireless Internet services.

The video on demand (VOD) server 174 refers to a server that provides an on-demand video service to the synchronous mobile communication terminal 110 or the asynchronous mobile communication terminal 130, and the other content providing server 176 refers to various contents (music). , Location information, traffic information, etc.) refers to a server providing the synchronous mobile communication terminal 110 or the asynchronous mobile communication terminal 130.

2 is a block diagram schematically illustrating a data traffic collection server according to a preferred embodiment of the present invention.

The data traffic collection server 150 according to the preferred embodiment of the present invention includes a data analyzer 210, a data processor 220, a data storage unit 230, and a communication unit 240.

The data analyzer 210 includes a PD (Packet Distributor) module 212, a UM (UDR Manager) module 214, and a SA (Service Analyzer) module 216.

The PD module 212 receives a data packet for the synchronous mobile communication terminal 110 from the PDSN 128 via the communication unit 240 or a data packet for the asynchronous mobile communication terminal 130 from the GGSN 149. Thereafter, classification information is generated by dividing the packet data into L3 / L4 units using L3 / L4 header information and a packet flow pattern.

Here, L3 means a network layer of the OSI 7 layer-model for OSI, and the representative protocol of L3 may be an IP (Internet Protocol). In addition, L4 refers to a transport layer (Transport Layer) of the OSI 7 layer model, the representative protocol of L4 may be a Transmission Control Protocol (TCP), User Datagram Protocol (UDP).

The PD module 212 receives service data from the service classification information database 232 of the data storage unit 230 via the communication unit 240, then combines the classification information with the service data, and then classifies the service corresponding to the classification information. To generate service classification information. Here, the service data is data including a service list.

That is, the service classification information is a process of determining which services correspond to packets that bundle service data in L3 / L4 units. The service database includes 'OOO IP / Port information is OOO service', and L3 / Since the IP / Port information is recorded in the L4 header, the packets bundled in the L3 / L4 unit are compared with the service database and the IP / Port information to determine that 'OO packet is OOO service'.

Therefore, in the actual implementation of the invention, the service classification information can be implemented in a form that only the tag for the service is attached to the packet grouped in L3 / L4 units.

In addition, the PD module 212 may receive a large amount of packet data in real time, and may perform a function of checking consistency and recombining data packets such as IP, TCP, and UDP, and inspecting duplicate packets and a network. It performs the function of processing packets of layers and transport layers.

The UM module 214 receives a diameter account from the PDSN 128 or the GGSN 149 via the communication unit 240 and analyzes the data. The UM module 214 classifies the data in connection units and uses a UDR (Usage Data Record). Create

That is, the UM module 214 receives the diameter account, filters the information corresponding to the UDR in the diameter account, extracts the information required for the UDR among the filtered information, and then extracts the extracted information from the data traffic collection server 150. This function converts the form defined in to and creates the UDR.

Here, UDR is information that can be used as separate data as access unit information, and is standard charging data generated according to RADIUS (Remote Authentication Dial-in User Services) standard, and user MIN, IP address, port, and packet usage. It includes.

After receiving the service classification information from the PD module 212, the SA module 216 matches L3 / L4 / application layer-specific packets, and among the service packets, L3 / L4 header information and service-specific application layer protocols (packet arrival time / Packet size), and after receiving the UDR from the UM module 214, uses correlation between IP / Port information of L3 / L4 or more and UDR (IP / Port information and generation time) or user / session information. Add to generate a CDR (Call Detail Record or Contents Detail Record). That is, the CDR may include a User ID (User MIN), Connection ID, Cell information, and the like.

In this case, the SA module 216 may extract the IP / Port information of the L4 or more from the service classification information according to the type of service, analyze the application protocol, and include the analysis result of the application protocol in the CDR. The foregoing description is merely illustrative of the technical idea of the present invention, and in the actual implementation of the present invention, the SA module 216 may be configured with detailed modules of WAP / HTTP / RTP / MMS / ETC, each of which is detailed. Modules can extract protocol-specific items by performing blocking analysis on each application protocol.

CDR according to a preferred embodiment of the present invention is a kind of intermediate data generated by the data traffic collection server 150 by analyzing the traffic of the user, and the content in which the synchronous mobile communication terminal 110 or the asynchronous mobile communication terminal 140 is predefined. When using the service of the provider 170, it may include the detailed information of how much traffic is used in what protocol and how much.

That is, the CDR indicates how many pages are viewed at any time interval when using the wireless Internet service (ie, handset browsing service) in the form of a page of the content provider 170, or how much traffic is generated per time zone of the VOD service. It is data that can indicate or how much usage of the other content providing server 176.

The data processing unit 220 includes a CDR / UDR database 222, an input / output recording database 224, a data processing module 226, a ST (statistics) module 229, and a basic data database 228.

The CDR / UDR database 222 receives and stores the UDR from the UM module 214 or receives and stores the CDR from the SA module 216.

The input / output record database 224 performs a function of receiving and storing input / output records generated by the data analyzer 210.

The data processing module 226 receives the CDRs from the CDR / UDR database 222 and then generates the major classification basic data classified by the major classification services. Here, the large category service means handset browsing, VOD Streaming, Vod Download, other Download, MMS, and other services.

The basic data database 228 receives and stores basic data from the data processing module 226.

The ST module 229 receives the basic data from the basic data database 228 to generate statistical data (daily statistical data for major categories of services, daily statistical data for each service, hourly statistical data, host-specific statistical data, and other designated services and users. Statistical data for each group), and converts sample data converted into a data format provided to the external network operating system 256 of the external interlocking device 250 using the basic data.

Here, the daily statistical data for each major classification service is classified into Handset Browsing, VOD Streaming, VOD Download, Other Contens Download and MMS, as shown in [Table 1] below. Contains unit statistics. Here, the major category of Table 1 is merely a service classification system that exemplarily illustrates the technical idea of the present invention, and those skilled in the art to which the present invention pertains do not depart from the essential characteristics of the present invention. It may be applied by adding / deleting / modifying variously according to the purpose or intention.

Daily statistical data for each service is calculated by calculating the same value as the item for each major service for the same service taxonomy as the billing taxonomy. Is the data that calculated the same values as the items of the major classification service for the top 20 lists among the hosts that occurred in large quantities.

It is preferable that the ST module 229 operates once a day, but this is merely illustrative of the technical idea of the present invention, and those skilled in the art to which the present invention pertains may have an intrinsic characteristic. Various modifications and variations of the number of operations of the ST module 229 may be applied without departing from the scope thereof.

The data storage unit 230 according to a preferred embodiment of the present invention includes a service classification information database 232, an external network operating system data database 234, and a statistical data database 236.

The service classification information database 232 performs a function of storing various service data, and interworks with the data analyzer 210. The service classification information database 232 transmits service data to the data analyzer 210 when the data analyzer 210 requests it.

The external network operating system data database 234 performs a function of receiving and storing sample data of traffic for mathematical analysis of the external network operating system from the data processing unit 220. Here, as an example of sample data, as shown in [Table 2] below, it includes Handset Browsing, VDO Streaming, VOD Download, Other Contents Download, other services and MMS, and includes items and file names according to each class. Here, the major category of Table 2 is merely a service classification system that exemplarily illustrates the technical idea of the present invention, and those of ordinary skill in the art to which the present invention pertains do not depart from the essential characteristics of the present invention. It may be applied by adding / deleting / modifying variously according to the purpose or intention.

The statistical data database 236 receives and stores statistical data (daily statistical data for each service, daily statistical data for each service, statistical data for each time zone, and host-specific statistical data) from the data processing unit 220.

The communication unit 240 according to the preferred embodiment of the present invention performs a function of interworking with the synchronous mobile communication system 120, the asynchronous mobile communication system 140, and the external interlocking device 250, and the OP (Operaion Process) module 242 ).

The OP module 242 periodically accesses the packet charging system 252 of the external interlocking device 250 to receive the current service data. That is, the OP module 242 receives the service data from the packet charging system and compares the stored service data with the previously stored service data to update the previously stored service data.

The external interlock device 250 includes a packet charging system 252 and an external network operating system 256.

The packet charging system 252 refers to a conventional charging system, and the external network operating system 256 refers to a device that receives sample data from the data traffic collection server 150 and performs mathematical analysis such as traffic modeling. do.

3 is a flowchart illustrating a method of collecting data traffic patterns of a wireless Internet data service according to a preferred embodiment of the present invention.

The communication unit 240 of the data traffic collection server 150 receives a data packet for the synchronous mobile communication terminal 110 from the PDSN 128 or a data packet for the asynchronous mobile communication terminal 130 from the GGSN 149. The data is transmitted to the analysis unit 210 (S310).

The data analyzer 210 of the data traffic collection server 150 generates classification information by dividing the packet order of the data packets into L3 / L4 units using the L3 / L4 header information and the packet flow pattern (S320).

The data analysis unit 210 of the data traffic collection server 150 receives service data from the data storage unit 230 via the communication unit 240, combines the classification information with the service data, and then provides a service corresponding to the classification information. The classified service classification information is generated (S330).

The data analysis unit 210 of the data traffic collection server 150 receives the diameter account from the PDSN 128 or the GGSN 149 via the communication unit 240 and filters the information corresponding to the UDR in the diameter account. After extracting the information required for the UDR from the filtered information, the extracted information is converted into a form defined in the data traffic collection server 150 to generate a UDR classified by an access unit (S340).

The data analyzer 210 of the data traffic collection server 150 extracts L3 / L4 or more IP / Port information and a protocol of an application layer for each service from among service classification information, and provides IP / Port information and UDR (IP / A CDR is generated by using correlation of port information and creation time) or by adding user / session information (S350). Here, the CDR includes User ID (User MIN), Connection ID, Cell information, and the like.

In this case, the data analyzer 210 may analyze the application protocol by extracting IP / Port information of L4 or more from the service classification information according to the type of service, and include the analysis result of the application protocol in the CDR. Here, the analysis of the application protocol may be HTTP analysis of a wireless Internet service (ie, handset browsing) in the form of a page, RTSP / RTP analysis of a VOD streaming service, and the like.

The data processing unit 220 of the data traffic collection server 150 receives the CDRs from the data analysis unit 210 and divides them into major classification services (Handset Browsing, VOD Streaming, Vod Download, other Download, MMS, and other services). Generate data (S360).

The data processing unit 220 of the data traffic collection server 150 uses the basic data to generate statistical data (daily statistical data for major categories of services, daily statistical data for each service, statistical data for each time zone, and statistical data for each host) and sample data. It generates (S370).

4 is an exemplary diagram illustrating basic data divided by sessions according to an exemplary embodiment of the present invention.

In the data processing unit 220 of the data traffic collection server 150 according to a preferred embodiment of the present invention, the CDRs are generated by dividing them into major classification services (Handset Browsing, VOD Streaming, Vod Download, other Download, MMS, and other services). An exemplary diagram showing basic data classified by session is shown in FIG. 4.

5 is an exemplary diagram illustrating basic data classified by objects according to an exemplary embodiment of the present invention.

In the data processing unit 220 of the data traffic collection server 150 according to a preferred embodiment of the present invention, the CDRs are generated by dividing them into major classification services (Handset Browsing, VOD Streaming, Vod Download, other Download, MMS, and other services). An exemplary diagram showing basic data divided by objects is illustrated in FIG. 5.

The above description is merely illustrative of the technical idea of the present invention, and those skilled in the art to which the present invention pertains may make various modifications and changes without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

As described above, according to the present invention, by processing and analyzing the data packet as well as the traffic generation amount in the wireless Internet data service provided by the synchronous or asynchronous mobile communication system detailed traffic patterns (Handset page distribution, reading time, streaming traffic) Size, traffic volume per object, etc.) and calculates various statistics (daily statistical data for major categories of services, daily statistical data for each service, statistical data for each time zone, and statistical data for each host) to determine long-term pattern changes. There is an observable effect.

The mobile service provider can collect traffic patterns for each service, which can collect operational information and management information, and can classify the traffic patterns by IP / Port information, application protocol, and user ID. There is an effect that can be analyzed accurately and saves storage capacity.

Claims (11)

A server that collects data traffic patterns, A communication unit which receives a data packet in association with a synchronous mobile communication system or an asynchronous mobile communication system; Generate classification information by dividing the packet data into L4 units using L3 (Network Layer) / L4 (Transport Layer) header information, and generate service classification information that classifies a service corresponding to the classification information from service data. After receiving a diameter account (Diameter Account), filtering generates a UDR (Usage Data Record), extracts the L3 / L4 header information from the service classification information, and uses the CDR (Correlation) of the CDR A data analyzer generating a Call Detail Record or a Contents Detail Record; A data processing unit generating basic data classified by the CDR according to a large classification service system, and generating statistical data using the basic data; And Data storage unit for storing the basic data and the statistical data Server for collecting the data traffic pattern of the wireless Internet data service comprising a. The method of claim 1, The data processing unit And collecting data traffic patterns of a wireless internet data service, further comprising sample data for mathematical analysis using the basic data. The method of claim 2, The data processing unit And providing the sample data to an external network operating system. The method of claim 1, The data processing unit And extracting IP / Port information of L4 or more from the service classification information to analyze an application protocol, and including the analysis result of the application protocol in the CDR. The method of claim 1, The major classification service is a server for collecting data traffic patterns of a wireless Internet data service, characterized in that it comprises at least one of services such as Handset Browsing, VOD Streaming, Vod Download, and MMS services. The method of claim 5, wherein The data processing unit And extracting an item obtained by analyzing the VOD streaming and the application level of the MMS. The method of claim 1, The statistical data is a server for collecting data traffic patterns of the wireless Internet data service, characterized in that it comprises at least one or more data of the daily statistical data for each major classification service, daily statistical data for each service, statistical data for each time zone and statistical data for each host . A data traffic collection server collects data traffic patterns in conjunction with a synchronous mobile communication system or an asynchronous mobile communication system, (a) receiving a data packet from the synchronous mobile communication system or the asynchronous mobile communication system; (b) generating classification information by dividing the data packet into L4 units using L3 / L4 header information; (c) classifying a service corresponding to the classification information by comparing with service data to generate service classification information; (d) receiving and filtering the diameter account to generate a UDR; (e) extracting IP / Port information from the service classification information to generate a CDR using the correlation of the UDR; generating basic data by dividing the CDRs according to a classification service classification scheme; And (g) generating statistical data using the basic data And collecting a data traffic pattern of a wireless internet data service. The method of claim 8, Step (e), (e1) generating the CDR using a correlation between IP / Port information of L4 or more of the service classification information, IP / Port information of the UDR, and generation time; And collecting a data traffic pattern of a wireless internet data service. The method of claim 8, Step (f) is, (f1) generating the basic data by dividing the CDR by Handset Browsing, VOD Streaming, Vod Download, Contens Download and MMS And collecting a data traffic pattern of a wireless internet data service. The method of claim 8, Step (g) is, (h) generating sample data using the basic data And collecting a data traffic pattern of a wireless internet data service.

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