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The Storage System Design for Dynamic Data of Internet of Vehicles Based on B+ Tree Technology

机译:基于B +树技术的车联网动态数据存储系统设计

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With the explosion of automobile information, the industry of internet of vehicles (IOV) is rising rapidly, and the vehicle number in IOV is growing exponentially; however, this results in problems like how to store and analyze the massive dynamic data of IOV. Considering the IOV's characteristics like different data types, uncertain sampling period, and huge size, the study presented in the paper designs an efficient data saving and analysis storage system based on B+ tree technology. The storage system can customize the file type, file path, search keywords, saving data fields, and according to the data features in IOV, the storage system can customize B+ tree's index key dimension to enhance the search efficiency. Theoretical analysis and practical test results show that the storage system can solve the problems of traditional database in IOV application, such as large physical space, slow querying speed, the difficulty of data backup, and frequent data loss.
机译:随着汽车信息的爆炸式增长,车联网(IOV)产业迅速发展,车联网中的车辆数量呈指数增长。但是,这会导致诸如如何存储和分析IOV的大量动态数据之类的问题。考虑到IOV的不同数据类型,不确定的采样周期和巨大的数据量等特点,本文提出的研究设计了一种基于B +树技术的高效数据保存和分析存储系统。存储系统可以自定义文件类型,文件路径,搜索关键字,保存数据字段,并根据IOV中的数据功能,可以自定义B +树的索引键维,以提高搜索效率。理论分析和实际测试结果表明,该存储系统可以解决IOV应用中传统数据库存在的物理空间大,查询速度慢,数据备份困难,数据丢失频繁等问题。

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