基于云计算的移动互联网大数据用户行为分析引擎设计详解.PDFVIP

电信科学 年第 期 2013 3 专题：大数据技术与应用 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 （ 中国电信股份有限公司广东研究院 广州 510630 ） 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 doi: 10.3969/j.issn.1000-0801.2013.03.006 Design of Mobile Internet Big Data User Behavior Analysis Engine Based on Cloud Computing Tao Caixia, Xie Xiaojun, Chen Kang, Guo Lirong, Liu Chun (Guangdong Research Institute of China Telecom Co., Ltd., Guangzhou 510630, China) Abstract: Along with the rapid development of mobile internet, telecom operators face an increasingly competition. So traffic operations are imperative for telecom operators, and precise marketing based on user behavior analysis is an important means. But in the era of big data, with the rapid growth of the mobile internet service and the number of users, the traditional architecture is difficult to adapt to the requirements of mass data mining. A design of mobile internet big data user behavior analysis engine based on cloud computing was provided ，including the overall system architecture design solution, the big data loading components and the big data user behavior analysis model components. Additionally, the test results of system performance were analyzed. Key words: cloud computing, big data, mobile internet, user behavior analysis, MapReduce, appl