移动互联网中手机终端与流量特征分析
发布时间：2018-12-06 20:12
【摘要】：近年来移动互联网的迅速发展在为网民提供便捷的同时,已经深入渗透到人们的生活中。2013年1月15日中国互联网络信息中心(CNNIC)发布的《中国互联网络发展状况统计报告》中显示,移动互联网各项指标增长速度全面超越传统宽带网络。自我国开启3G网络服务以来,智能终端快速普及。2012年我国已经成为全球智能手机出货量最大的国家。终端是用户产生移动互联网络流量的主要载体,终端的发展引导用户上网行为的变化,识别移动互联网中的终端,掌握移动互联网中不同终端用户的上网行为、流量特征,对把握移动互联网的发展具有重要意义。 本文首先介绍了移动互联网的发展现状,包括移动互联网网络流量分析的内容与终端识别方法。随后还介绍了云计算与海量数据挖掘技术与Hadoop分布式处理框架,详细介绍了实验室内基于Hadoop的分布式大数据分析系统。 通过在实验室的Hadoop大数据分析系统上对海量移动互联网数据进行分析与研究,我们研发了挖掘海量上网数据中的终端型号以及操作系统算法。本文详细介绍了基于Hadoop的终端型号与操作系统识别算法实现流程。 在研发终端型号识别与操作系统识别的基础上,我们使用算法识别出的手机型号与操作系统围绕终端对移动互联网流量特征进行分析。最后,为了更明确的体现移动互联网网络流量特征,我们将围绕终端分析的移动互联网网络流量特征与ADSL网络流量特征进行对比分析。在介绍ADSL网络流量特征的同时分析了ADSL网络中五种典型业务的流量对网络总流量的影响因子,并给出了流量预测方程。
[Abstract]:In recent years, the rapid development of the mobile Internet has provided convenience for Internet users at the same time, It has penetrated deeply into people's lives. According to the "Statistics report on the Development of China's Internet Network" released by the China Internet Information Center (CNNIC) on January 15, 2013, All indicators of mobile Internet growth rate surpasses the traditional broadband network. Since the start of 3G network service in China, smart terminals have been rapidly popularized. In 2012, China has become the largest country in terms of smartphone shipments in the world. Terminal is the main carrier of mobile Internet traffic generated by users. The development of terminals leads users to change their behavior on the Internet, identify the terminals in the mobile Internet, and master the behavior and traffic characteristics of different end-users in the mobile Internet. It is of great significance to grasp the development of mobile Internet. This paper first introduces the development of mobile Internet, including the content of mobile Internet network traffic analysis and terminal identification method. Then it also introduces cloud computing, mass data mining technology and Hadoop distributed processing framework, and introduces the distributed big data analysis system based on Hadoop in the laboratory in detail. By analyzing and researching the massive mobile Internet data on the Hadoop big data analysis system in the laboratory, we have developed the terminal model and the operating system algorithm of mining the massive Internet data. This paper introduces the realization flow of terminal model and operating system recognition algorithm based on Hadoop in detail. Based on the research and development of terminal model recognition and operating system recognition, we use the algorithm to identify the mobile phone model and operating system around the terminal to analyze the mobile Internet traffic characteristics. Finally, in order to reflect the characteristics of mobile Internet network traffic more clearly, we will compare and analyze the characteristics of mobile Internet network traffic and ADSL network traffic characteristics analyzed by terminals. In this paper, the traffic characteristics of ADSL network are introduced, and the influence factors of five typical traffic in ADSL network on the total network traffic are analyzed, and the traffic prediction equation is given.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.53;TP393.06
本文编号：2366591
[Abstract]:In recent years, the rapid development of the mobile Internet has provided convenience for Internet users at the same time, It has penetrated deeply into people's lives. According to the "Statistics report on the Development of China's Internet Network" released by the China Internet Information Center (CNNIC) on January 15, 2013, All indicators of mobile Internet growth rate surpasses the traditional broadband network. Since the start of 3G network service in China, smart terminals have been rapidly popularized. In 2012, China has become the largest country in terms of smartphone shipments in the world. Terminal is the main carrier of mobile Internet traffic generated by users. The development of terminals leads users to change their behavior on the Internet, identify the terminals in the mobile Internet, and master the behavior and traffic characteristics of different end-users in the mobile Internet. It is of great significance to grasp the development of mobile Internet. This paper first introduces the development of mobile Internet, including the content of mobile Internet network traffic analysis and terminal identification method. Then it also introduces cloud computing, mass data mining technology and Hadoop distributed processing framework, and introduces the distributed big data analysis system based on Hadoop in the laboratory in detail. By analyzing and researching the massive mobile Internet data on the Hadoop big data analysis system in the laboratory, we have developed the terminal model and the operating system algorithm of mining the massive Internet data. This paper introduces the realization flow of terminal model and operating system recognition algorithm based on Hadoop in detail. Based on the research and development of terminal model recognition and operating system recognition, we use the algorithm to identify the mobile phone model and operating system around the terminal to analyze the mobile Internet traffic characteristics. Finally, in order to reflect the characteristics of mobile Internet network traffic more clearly, we will compare and analyze the characteristics of mobile Internet network traffic and ADSL network traffic characteristics analyzed by terminals. In this paper, the traffic characteristics of ADSL network are introduced, and the influence factors of five typical traffic in ADSL network on the total network traffic are analyzed, and the traffic prediction equation is given.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.53;TP393.06
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