中国邮电高校学报(英文) ›› 2016, Vol. 23 ›› Issue (3): 70-75.doi:

• Network • 上一篇    下一篇

Fine-grained analysis of cellular smartphone usage characteristics based on massive network traffic

桂小林1,刘军2,李辰宇1,吕遒健1,雷振明1   

  1. 1. 北京邮电大学
    2. 网络体系架构与融合北京市重点实验室,信息与通信工程学院,北京邮电大学
  • 收稿日期:2016-04-18 修回日期:2016-05-18 出版日期:2016-06-28 发布日期:2016-07-05
  • 通讯作者: 桂小林 E-mail:hnlgjsj@126.com
  • 基金资助:

    中国“111创新引智计划基地”项目

Fine-grained Analysis of Cellular Smartphone Usage Characteristics Based on Massive Network Traffic

  • Received:2016-04-18 Revised:2016-05-18 Online:2016-06-28 Published:2016-07-05

摘要:

智能手机用户的增长导致移动网络流量爆炸式的增长。理解移动网络流量的特征对于运营商网络资源的优化很重要。本文从手机操作及手机生产厂商的维度对蜂窝网络中的HTTP流量特征进行了细致的分析。首先,我们提出了基于概率的方法来识别安装在每一台智能手机中的操作系统。然后,基于一个持续了31天的数据(一个计费周期),我们从操作系统及手机生产厂商维度对智能手机的流量特征进行分析。最后,我们识别每一台手机中安装的应用,并且从操作系统及手机生产厂商维度比较了应用使用特征。我们的研究为运营商对蜂窝数据网络制定通信资费以及资源分配提供了参考。

关键词:

网络流量测量

Abstract:

Increased adoption of smartphones leads to the explosive growth of mobile network traffic. Understanding the traffic characteristics of mobile network is important for Internet Service Providers (ISPs) to optimize network resources. In this paper, we conduct a detailed measurement study on the HTTP traffic characteristics of cellular network among different operating systems (OSs) as well as different device-types. Firstly, we propose a probability-based method to identify the installed OS of each smartphone. Then we analyze the traffic characteristics of these smartphones in terms of OS and device-type based on a dataset across 31 days (a billing cycle). Finally, we identify the installed apps of each smartphone and compare the usage of apps on the dimensions of OS and device-type. Our measurement study provides insights for network operators to strategize pricing and resource allocation for their cellular data networks.

Key words:

network measurement

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