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

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.
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