电信科学 ›› 2013, Vol. 29 ›› Issue (3): 27-31.doi: 10.3969/j.issn.1000-0801.2013.03.006

• 专题：大数据技术与应用 • 上一篇    下一篇

基于云计算的移动互联网大数据用户行为分析引擎设计

陶彩霞,谢晓军,陈康,郭利荣,刘春   

  1. 中国电信股份有限公司广东研究院 广州 510630
  • 出版日期:2013-03-20 发布日期:2017-06-16
  • 基金资助:
    国家“863”计划基金资助项目

Design of Mobile Internet Big Data User Behavior Analysis Engine Based on Cloud Computing

Caixia Tao,Xiaojun Xie,Kang Chen,Lirong, Guo,Chun Liu   

  1. Guangdong Research Institute of China Te1ecom Co., Ltd., Guangzhou 510630, China
  • Online:2013-03-20 Published:2017-06-16

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摘要：

随着移动互联网的迅速发展，运营商面临的竞争日益激烈，流量经营势在必行，基于用户行为分析的精确营销是重要手段。但在大数据时代，随着移动互联网业务和用户数量的快速增长，传统的架构难以适应海量数据挖掘的要求。本文提出了一种基于云计算的移动互联网大数据用户行为分析引擎解决方案，包括系统总体架构设计、大数据入库与预处理组件、大数据用户行为分析模型等关键模块的设计，最后分析了系统测试效果。

关键词: 云计算, 大数据, 移动互联网, 用户行为分析, MapReduce, 应用平台, DPI

Abstract:

A1ong with the rapid deve1opment of mobi1e internet, te1ecom operators face an increasing1y competition.So traffic operations are imperative for te1ecom operators, and precise marketing based on user behavior ana1ysis is an important means.But in the era of big data, with the rapid growth of the mobi1e internet service and the number of users, the traditiona1 architecture is difficu1t to adapt to the requirements of mass data mining.A design of mobi1e internet big data user behavior ana1ysis engine based on c1oud computing was provided,inc1uding the overa11 system architecture design so1ution, the big data 1oading components and the big data user behavior ana1ysis mode1 components.Additiona11y, the test resu1ts of system performance were ana1yzed.

Key words: c1oud computing, big data, mobi1e internet, user behavior ana1ysis, MapReduce, app1ication p1atform, DPI

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