Telecom Data processing and analysis based on Hadoop

Guofan Lu, Qingnian Zhang, Zhao Chen

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12B) 658-664

Wuhan University of Technology, Wuhan 430063,China

For call tracking system to adapt to the needs of large data processing, combined with a strong competitive advantage in recent years in large data processing Hadoop platform, designed and implemented a Hadoop-based call tracking data processing model, in order to verify its feasibility. The call tracking processing system model contains an analog data source module, data processing module, and a GUI interface. Analog data source module from real data samples in the simulated data, and the data is written directly to the Hadoop distributed file system, then using Hadoop's MapReduce model to write appropriate Mapper and Reducer function, the distributed processing of the data. Detailed study based on the system design and implementation, system deployment topology, hardware and software conditions, and designed several comparative experiments to analyze some static indicators of system performance.