Design And Implementation Of Traffic Information Paraller Processing Cloud Platform Based On Hadoop

With the development of society and urbanization, the number of motor vehicles is in explosive growth. However, the limitation of geographical space and shortage of land resources make the contradiction between people, vehicles and roads become increasingly prominent. And With the development of computer network and information collection technology, traffic data of daily is gradually increasing. While the traditional platform in the face of data problems become stretched.The emergence of many mature big data processing techniques brings new ideas to the development of intelligent transportation system. The main starting-point of this paper is to propose next-generation traffic platform design and implementation plan, increase the traffic platform for large data processing ability and improve the existing traffic system by integrating Hadoop, HBase with the existing traffic platform. This paper studies the main contents are:1. Multi-node deployment of Hadoop,HBase cluster. In this paper, Hadoop and HBase cluster are built on multiple virtual nodes which based on v Sphere, as the basis of integration platform.2. Design and implementation of transportation infrastructure services. This paper presents the design and implementation of two kinds of service. One is DataCenter- Unified service for the original traffic data. The other is parallel computing and big data storage service designed for increasing the original cloud platform’s large data processing ability.3. The design of Transport Application Architecture and realization of the case. In this paper, the traffic application architecture include traffic core application and traffic intelligence application. Traffic core application based on Map Reduce framework charge on the calculation and analysis of original traffic data, while traffic intelligent application showed the calculation results with visual Angle to the user. Traffic application architecture can verify the correctness and feasibility of the integration plan by successfully deployed and run the application.4. The integration with Cloud platform and Hadoop, HBase cluster.In this paper, the integration of Hadoop, HBase with existing cloud platform is completed by Socket communication way, and let the new generation of intelligent traffic cloud platformwith large data processing ability. User uploaded and run the application through the entrance of integration platform so as to obtain large data computing and storage capacity.To conclude, this paper propose a plan of construction traffic information parallel processing cloud platform through the integration with Hadoop, HBase cluster, which solves the problem of big data in the traffic field. At the same time, traffic application architecture and plan of service are proposed, contributing to the development of intelligent transportation system.