Research on storage and retrieval of massive GPS and video surveillance data in cloud environment

Shan Wu, Jian Zhao, Yong Li, Poyu You, Sirui Wu
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Abstract

In order to solve the problem of storage and management efficiency of massive urban monitoring data, HDFS distributed file system is used to store video unstructured data, HBase attribute information table is researched and designed, HBase distributed database is used to store attribute information, HBase global retrieval information row key and MapReduce workflow are studied, retrieval is constructed, and video monitoring data retrieval is realized. Finally, based on the research of unstructured data retrieval technology and distributed data processing framework, we get the massive urban monitoring data storage and retrieval scheme.
云环境下海量GPS和视频监控数据的存储与检索研究
为了解决海量城市监控数据的存储和管理效率问题,采用HDFS分布式文件系统存储视频非结构化数据,研究设计HBase属性信息表,使用HBase分布式数据库存储属性信息,研究HBase全局检索信息行键和MapReduce工作流,构建检索,实现视频监控数据检索。最后,在研究非结构化数据检索技术和分布式数据处理框架的基础上,提出了海量城市监控数据的存储与检索方案。
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