移动互联网应用网络行为分析及优化研究

发布时间：2019-01-16 02:40

【摘要】：随着智能终端的迅速发展和移动应用的丰富多样化,移动互联网取得了巨大的成功。与此同时,伴随着运营商沦为传输管道和信令风暴的产生。运营商如何面对海啸式的数据对移动网络的冲击,提高网络承载力,尤其是承载用户最多的GPRS网络仍旧是研究的重点。本文从应用行为的角度出发,在安卓手机平台上研究即时通信类、微博类和网页浏览类应用的网络行为特征。分析应用在多种联网方式、多种场景交互下的数据,建立流程分析模型和流量资源开销模型,为移动网络的优化提供了理论支持。应用行为如心跳、频繁短接和小流量等数据包传输造成了无线网络资源的滥用。为了深入研究应用对网络的资源消耗,量化应用对信道资源的占用。论文通过分析应用在线并且无主动交互状态下的心跳行为,在GPRS网络环境下采集终端上各场景数据,结合心跳消息对无线信道资源的占用原理,评估CCCH资源消耗,建立相应分析模型。研究得出心跳的周期长短,客户端维持心跳的种类对CCCH的资源消耗至关重要。最后,论文基于应用的心跳机制对无线信道的消耗影响,介绍了从应用基础层考虑的统一心跳推送优化方案。通过编程仿真不同场景下的应用心跳行为,比较统一心跳推送机制和非统一心跳机制对无线网络的资源消耗,验证方案的优越性,有效地减少了高频次、小流量心跳数据包对信令的冲击,为提高无线网络对数据业务的承载力提供了一定研究基础。
[Abstract]:With the rapid development of intelligent terminals and the rich diversity of mobile applications, mobile Internet has achieved great success. At the same time, with the operators reduced to transmission pipeline and signaling storm. How operators face the impact of tsunami data on mobile networks and improve the network carrying capacity, especially the GPRS network with the most users is still the focus of research. From the point of view of application behavior, this paper studies the network behavior characteristics of instant messaging, Weibo and web browsing applications on Android mobile platform. This paper analyzes the data applied in various networking modes and scenarios, and establishes a flow analysis model and a traffic resource overhead model, which provides theoretical support for the optimization of mobile networks. Application behavior, such as heartbeat, frequent short connection and small traffic, causes abuse of wireless network resources. In order to study the resource consumption of application to the network deeply, quantize the channel resource occupation of the application. By analyzing the heartbeat behavior in the online and non-active interactive state, the paper collects the scene data on the terminal in the GPRS network environment, and evaluates the CCCH resource consumption by combining the principle of the heartbeat message occupying the wireless channel resource. The corresponding analysis model is established. It is concluded that the duration of heartbeat and the type of heartbeat maintained by clients are very important to the resource consumption of CCCH. Finally, based on the effect of application heartbeat mechanism on wireless channel consumption, this paper introduces a unified heartbeat push optimization scheme considered from the application foundation layer. Through programming simulation of the application heartbeat behavior in different scenarios, the paper compares the resource consumption of wireless network by unified heartbeat push mechanism and non-unified heartbeat mechanism, verifies the superiority of the scheme and effectively reduces the high frequency. The impact of small heartbeat packets on signaling provides a basis for improving the capacity of wireless networks for data services.
【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】：TP393.01;TN929.5

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