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Mobile internet user behavior analysis based on Hadoop

A mobile Internet and behavior analysis technology, applied in the field of Hadoop-based mobile Internet user behavior analysis, can solve the problems of single traffic management plan and low data processing efficiency, and achieve the effect of improving accuracy

Active Publication Date: 2017-07-25
CHONGQING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

[0008] In view of this, the purpose of the present invention is to provide a Hadoop-based mobile Internet user behavior analysis method, which can solve the problems of single traffic management scheme and low data processing efficiency of current telecom operators

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  • Mobile internet user behavior analysis based on Hadoop
  • Mobile internet user behavior analysis based on Hadoop
  • Mobile internet user behavior analysis based on Hadoop

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Embodiment Construction

[0039] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0040] Such as figure 1 Shown, the present invention provides a kind of mobile internet user behavior analysis method based on Hadoop, described method comprises the following steps:

[0041] S1: 2G / 3G / LTE network data collection: collect the original signaling data and service data of mobile Internet users in the network from the 2G / 3G / LTE network interface through the collection card, and combine the original signaling data with the all Import the above business data into the distributed file system HDFS to provide data access services through HDFS;

[0042]S2: Protocol stack analysis: translate the original signaling data and the service data into a service flow with a logical data structure, and provide context for deep packet inspection DPI service identification;

[0043] S3: Real-time DPI service identification: performing informat...

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Abstract

The invention relates to a mobile internet user behavior analysis method based on Hadoop. The method comprises the following steps: a 2G / 3G / LTE network data acquisition step; a protocol stack analysis step; a real-time DPI service recognition step; a network crawler step; a secondary DPI service recognition step; and a data mining step. By use of the mobile internet user behavior analysis based on Hadoop provided by the invention, the problems that the traffic operating scheme of the current telecommunication operator is unique, the data processing efficiency is low can be solved.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a Hadoop-based mobile Internet user behavior analysis method. Background technique [0002] With the commercialization and widespread deployment of 4G networks, in order to provide users with comprehensive and high-quality personalized services, it is necessary for operators to conduct comprehensive and systematic research and analysis on users' services and traffic. The behavior analysis system is not only a problem that operators need to solve to expand their business, but also very beneficial to content providers and users. The mobile Internet user behavior analysis system adopts a modular design idea, and encapsulates the protocol stack decoding and DPI (deep packet inspection, deep packet inspection) service identification into a DLL (dynamic link library, dynamic link library), so as to realize the communication between various modules. loosely coupled. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26G06F17/30
CPCG06F16/2465G06F16/951H04L43/028H04L43/04H04L43/12
Inventor 侯静陈敏俊温亮生张治中
Owner CHONGQING UNIV OF POSTS & TELECOMM
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