基于MapReduce的无线网优数据汇总平台的设计与实现

ata collection is an important part in wireless network optimization, but when dealing with the big data, traditional data collection method has many problems such as low efficiency, performance bottleneck, low scalability. In order to solve these problems of Traditional data collection methods, this paper studies the MapReduce which is the current big data dealing technology, and package a program depending on MapReduce, design and achieve a MapReduce-based data collection platform. It is proved by the testing of platform's performance that the platform can efficiently complete the current data collection task.)