Study On Storage And Extraction Methods Of Highway Mass Data Based On Cloud Computing

Dramatic social and economic development to promote the arrival of the Internet age, the biggest feature of the Internet age is the explosive growth of information. In recent years, the capacity of disk storage systems around the world is still an annual growth rate of nearly80percent. Clearly, the traditional database storage issues to deal with huge amounts of data has been more difficult, and lack of coordination problems are gradually exposed, such as poor scalability, efficiency is not high, low concurrency. Therefore, mass data storage and rapid extraction become a hotspot database designers based distributed parallel processing database cloud computing is one of the more cutting-edge research. For the above analysis, this paper freeway massive amounts of data as the main object, the topic from Shandong Province, the provincial enterprises technological innovation projects-highway intelligent transportation information platform key technology research and application demonstration projects mainly to solve the growing amount of data brings access performance problems and provide greater support for the other sub-projects.As a new internet-based business computing model, cloud computing are achieved more and more attention of people, it is the product of a mixed variety of techniques. This article will examine the massive traffic on the highway cloud data storage and rapid extraction method. Specific research results include the following aspects:Firstly, the application mode of cloud computing in the transport sector is studied. Definition of cloud computing, characteristics, type of service, constituent elements Hadoop, as well as massive data access mechanisms are outlined; the necessity of cloud computing applications in the transport sector is analyzed; the last cloud-based Hadoop distributed platforms and the MapReduce calculation model, given the traffic data access architecture is based on cloud computing.Secondly, the massive construction of the highway traffic data access model based on cloud computing. Analysis of the highway network features and massive traffic data features, then for the massive highway network traffic data access issues needs analysis; then according to the characteristics of massive data, combined with cloud computing technology to design the highway based on cloud computing Massive traffic data access algorithms.Finally, the parallel query experiments of traffic parameters based on the cloud computing are designed and realized.To a certain extent, study results in this paper lay a theoretical basis for the company’s future high-speed intelligent management, thus contributing to a linear increase in highway management level.