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机构地区:[1]北京邮电大学,北京100876
出 处:《邮电设计技术》2016年第8期12-17,共6页Designing Techniques of Posts and Telecommunications
摘 要:蜂窝无线网络数据的分析研究对网络优化与用户体验的提升有着重要的理论和实际价值。然而随着移动互联网的发展,蜂窝无线网络业务量也呈指数型增长,如何对海量的无线网络数据进行高效处理、分析与应用成为一个关键问题。基于Hadoop分布式数据处理架构,搭建了一种面向蜂窝无线网络大数据的研究平台。该平台利用分布式处理框架对蜂窝无线网络数据进行分析、建模,并通过数据挖掘算法发现数据价值。该平台能有效地处理海量数据的管理和分析任务,为网络性能优化提供数据支撑。The analysis of cel ular wireless networks is of theoretical and practical significance to improve network optimization and user experience. However,with the development of mobile Internet,cel ular wireless networks traffic has also increased exponen-tial y. How to deal with the massive network data efficiently for better utilization has become a crucial issue. A distributed com-puting platform is built based on Hadoop for big data of cel ular wireless networks. With this platform,the wireless big data in the cel ular wireless network can be analyzed and modeled intel igently to discover the implied value of the data through the da-ta mining algorithm. Numerical simulation results prove that the proposed platform can be an effective tool to manage and ana-lyze the massive data in wireless networks effectively,which shows a promising solution for future cel ular networks and pro-vides data support for network performance optimization.
分 类 号:TN919[电子电信—通信与信息系统]
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