Statistics And Analysis Of Regional Human Flow Based On Cloud Environment

In recent years,the research of mobile signaling data and cloud computing technology has attracted the interest of many researchers,and has penetrated into many different fields,such as computer,communication engineering and traffic.The analysis of regional traffic flow based on mobile phone signaling data provides a new solution for realizing Internet of things,smart city and intelligent transportation.Considering the combination of mobile phone signaling data location technology and cloud computing technology,this paper based on cloud computing technology and through the analysis and comparison of mobile signaling processing and analysis based on the cloud environment based regional human traffic statistics and analysis,and carried out the implementation of laboratory steps and analysis of data results.The work and innovations of this paper include the following aspects:1.In order to study how to promote the intelligent city and the development of intelligent traffic policy through the communication data and cloud computing technology of mobile terminal,this paper proposes a method of human traffic statistics based on the cloud environment and the signal data of the mobile phone based on the regional traffic statistics.Through the virtualization technology,the cloud computing cluster is built in the laboratory stage,the proposed scheme is implemented in the laboratory stage,and the data obtained are compared and analyzed.2.Considering the cloud computing cluster problem in the process of cloud platform implementation,this paper carries out the research of Hadoop platform and Spark platform based on the realization of statistical region human traffic.A regional human traffic statistics algorithm based on the MapReduce framework of Hadoop platform(Regional Human Statistics based MapReduce Frame),RHS-MF and regional traffic statistics algorithm based on Spark framework(Regional Human)are presented,and the implementation of the algorithm is presented in detail.The feasibility of obtaining regional human traffic results based on mobile phone signaling data under cloud environment is thoroughly explored.3.Considering the difference between the two platform algorithms,this paper takes the laboratory stage computing cluster as the basis,and takes the time consuming result of the signal processing data of the mobile phone as the parameter index on two platforms,and expands the comparison and analysis of the processing speed between the two platforms.By analyzing the time consuming index of data processing,the performance differences of different platforms in the cloud environment are analyzed in many aspects,such as Hadoop and Spark single machine,Hadoop and Spark cluster,Hadoop single machine and spark cluster.The performance comparison of different technologies in cloud environment is explored in depth.