The Design And Implementation Of Cloud Data Center Of General Aviation

In recent years,China’s general aviation has made a lot progress in scale and quantity. With further opening low-altitude airspace in 2015,general aviation industry will enter a high-speed development of the fast lane.Although our general aviation development has huge potential,the level of information is far behind developed countries.Data management of most general aviation still remain in the primitive stage of paper records.Although some general aviation corporations have their own information management system,the traditional dispersed data storage and isolated general aviation corporations result in that the data cannot be shared and stored effectively and that the reliability and security of the data cannot be guaranteed. What’s more, data mining cannot be used to extract the useful information from the stored data.The low information level and backward management have become the bottleneck of our country’s general aviation development.Faced with the informatization problems and actual demand of our general aviation industry, the paper combines MongoDB and the REST,using Hadoop data analysis platform, to build general aviation cloud data center.All the general aviation’s data will be centrally managed by cloud data center. Cloud data center will establish a communication channel within general aviation corporations and between companies and customers.Cloud data center will greatly improve flight efficiency,guarantee flight safety and improve the level of information.In this paper,main work and innovations are as follows:1) Analysis of cloud data center technologies. Depth study of the cloud computing architecture and core services, basic theories of NoSQL database, MongoDB and REST related contents and MapReduce programming model.2) Study the needs to cloud data center systematically, defined the function of the system. Have a deep analysis of the core business and determine the data processing sequences.3) This paper introduces the contents about the design and implementation of cloud data center of general aviation based on MongoDB and REST.Cloud data center uses document database MongoDB to store data which is one kind of NoSQL DBMS and uses REST interface to provide unified data access services for general aviation corporations’ business systems including PC and mobile platform.MongoDB with high reliability, high availability and scalability features, can easily cope with the challenge of mass data storage.With high flexibility and scalability characteristics, REST can solve the general aviation’s problems about numerous business systems and frequent business changes.Combined MongoDB and REST, the cloud data center can satisfy the needs of the rapid development of the general aviation industry and provide users with efficient and stable cloud services.4) This paper implements MongoDB-Hadoop machine learning platform.In big data era, massive data often contains unimaginable value.In order to realize efficient data processing, the system combines the MongoDB’s advantage of data store and Hadoop’s advantage of data analysis.With the help of the machine learning platform, the system can recommend popular routes and optimize flight path for the customers.So the platform can improve the system’s ability of data analysis.