Hadoop-Based Big Data Analysis On Mobile Network Signaling And Traffic

Today is big data era,various pieces of information and data have appeared in mobile network,the rapid integration and analysis of these information and data has become inevitable.At the same time,more and more mobile communication potential needs to be further explored,and big data platform becomes an important service platform for the development of data.The analysis and application of big data in mobile network has become an important research topic under the new era background,and provides theoretical support and guarantee for the application upgrade in mobile network in the future.This paper starts with the concept analysis of big data,and will base on the study of Hadoop platform for big data processing and analysis,it explores how to build up and use Hadoop platform as well as its component Hive to process and analyze massive signaling and traffic data in mobile network from the perspective of combining theory and practice.This paper uses mobile communication technology,data processing theory and database programming technology to complete the basic introduction of Hadoop platform,the composition and components of the platform,as well as the actual construction and configuration of the platform,it also uses Hadoop operation commands,Hive analysis commands and other data analysis algorithms for realizing the data processing and result analysis of massive mobile network data.This paper shows the KPI and S-KPI calculation,as well as user terminal information through a comprehensive display of user mobile network data and trend analysis.These three types of problems are also key concerns of operators in network monitoring,operation and optimization,which are conducive to the construction of operators' network,network quality analysis and user satisfaction,they are also closely related to our life in today's era.The analysis,acquisition,display and processing ability for massive amounts of data in mobile network reflect the Hadoop platform's ability and advantage at the same time,provide the network operators with the corresponding network status and user experience optimization scheme,also for the operator or service provider marketing,user behavior analysis and data mining problems,it will provides timely data support and train of thought.