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计算机工程

• 体系结构与软件技术 • 上一篇    下一篇

基于众包数据的OTT业务行为建模分析

李克1,刘静怡2,宋晓勤2,徐小龙1,韩涛3   

  1. (1.北京联合大学 信息学院,北京 100101; 2.南京航空航天大学 电子与信息工程学院,南京 210016;3.华为技术有限公司,南京 210012)
  • 收稿日期:2016-05-24 出版日期:2017-10-15 发布日期:2017-10-15
  • 作者简介:李克(1972—),男,教授、博士,主研方向为业务行为建模、MIMO多天线技术、数据挖掘;刘静怡,硕士研究生;宋晓勤,副教授、博士;徐小龙,硕士研究生;韩涛,高级工程师。
  • 基金资助:
    国家自然科学基金(61301103);华为创新研究计划项目(YB2014050020);北京联合大学人才强校行动计划项目(Rk100201510)。

Modeling Analysis of OTT Business Behavior Based on Crowdsourcing Data

LI Ke  1,LIU Jingyi  2,SONG Xiaoqin  2,XU Xiaolong  1,HAN Tao  3   

  1. (1.College of Information Technology,Beijing Union University,Beijing 100101,China;2.College of Electronics and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China; 3.Huawei Technologies Co.,Ltd.,Nanjing 210012,China)
  • Received:2016-05-24 Online:2017-10-15 Published:2017-10-15

摘要: 针对传统以话音和数据业务为主的业务模型在刻画新型移动互联网业务上的局限性,提出一种OTT业务行为建模方法。基于以众包方式采集的海量真实用户业务行为数据,利用OTT业务行为建模方法对3类典型OTT业务的行为特征进行分析与对比,并对部分业务关键参数的分布特征进行建模。通过分析OTT业务行为的分布特征,可全面揭示出不同移动互联网业务类型之间的行为差异,对于无线网络产品设计、网络规模预测、网络规划和建设具有一定的参考价值。

关键词: 业务模型, 移动互联网, OTT业务, 业务行为, 众包

Abstract: In view of the fact that traditional business models which focus on speech and data services are less effective in describing the business behavior properties of the new mobile Internet business,this paper proposes a new Over-The-Top(OTT) business behavior modeling method.Based on the massive real user behavior data collected by crowdsourcing,the properties of three typical OTT businesses are analyzed and compared with the proposed modeling method,and the distribution characteristics of some key parameters are modeled.Analyzing the distribution characteristics of OTT business behavior can fully reveals the behavior differences between different types of mobile Internet services,which has certain reference value for the design of wireless network products,network scale prediction,and network planning and construction.

Key words: business model, mobile Internet, Over-The-Top(OTT) business, business behavior, crowdsourcing

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