文章摘要
引用本文:冯心欣,胡淑英,邹其昊,徐艺文.基于HBase的车联网海量数据查询[J].福州大学学报(自然科学版),2018,46(4):466~471
基于HBase的车联网海量数据查询
Querying of massive trajectory data in internet of vehicles based on Hbase
  
DOI:10.7631/issn.1000-2243.17253
中文关键词: 车联网  HBase数据库  数据查询
英文关键词: internet of vehicles  database HBase  data query
基金项目:
作者单位
冯心欣 福州大学物理与信息工程学院福建 福州 350116 
胡淑英 福州大学物理与信息工程学院福建 福州 350116 
邹其昊 福州大学物理与信息工程学院福建 福州 350116 
徐艺文 福州大学物理与信息工程学院福建 福州 350116 
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中文摘要:
      针对如何高效存储并快速查询海量数据问题,提出一种基于分布式数据库HBase的车联网海量数据存储查询方案. 首先对实测交通数据进行数据预处理,剔除劣质数据并对车辆定位信息做地图匹配;其次,针对车联网数据特征和查询应用场景设计HBase表结构,包括列族与行键设计,使数据得到合理的分布;最后,根据行键结构设计多种车联网交通信息的查询模式. 实验表明,该行键方案在查询耗时上相比没有行键设计的方案具有明显优越性.
英文摘要:
      To solve the problem of how to efficiently store and quickly query massive data in internet of vehicles (IoV),a querying solution based on distributed database HBase had been proposed. In this solution,the original data were firstly preprocessed to filter invalid data and rectified the biased geographic data by map matching. According to the characteristics of IoV data and practical application scenarios,the HBase table to storage data effectively was designed,which contained the column families organization and row key structure design. Based on the table,several querying patterns were designed to realize various functions that were meaningful in IoV applications. The experiments demonstrated that the proposed solution had obvious superiority on query time consumption compared with the ones without row key design.
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