Design And Implementation Of Vehicle Logistics Management System Based On Hadoop

With the rapid development of information technology,the cost of acquiring data and storing data is getting lower and lower.In addition to the advent of the era of cloud,big data has gotten more attention from all walks of life in society.With the rapid development of China's domestic automobile industry,Vehicle logistics has gone through from scratch,from small to large,from passive to active to imitate the development process of innovation.Moment is not only the era of big data,but also the critical period of automotive industry through the golden era of development facing a industrial upgrading and transformation.Vehicle logistics,as an indispensable part of the automobile industry,have been put the the opportunities and challenges in front of us-how to improve the efficiency of cooperation among enterprises and promote the coordinated development of vehicle logistics business and automobile manufacturing industry by using the accumulation of information technology management operations experience and data assets enterprise development in recent years.This paper is based on a mature vehicle logistics management system for research.It uses the Hadoop,HBase,Zookeeper,Kafka distributed open source software framework to replace the traditional architecture of the management system,It eased the embarrassment of the situation that traditional architecture and database can not handle the embarrassment of large-scale data.Hadoop is a distributed data processing framework.It can complete the processing and storage of massive data based on the distributed architecture.Its distributed architecture is designed to make the data processing more reliable,efficient and flexible.This paper makes a detailed investigation and analysis of the business process of the automobile logistics business,and use the cluster environment with 8 nodes.On this basis,it summarizes the business critical path.It summarizes three main business processes-the waybill management of vehicle logistics,transportation management,delivery settlement management and design a system use case.It presents the overall solution and cluster deployment scheme.Finally,the implementation of the system is to completed through the system architecture design,database design,function design,coding and other processesThis paper looks forward to the development trend of industry and technology in the end.In the future,stream computing framework represented by the Spark might will replace Hadoop to become a leader in big data processing framework.