期刊文献+

智慧城市多源异构大数据处理框架 被引量:14

Multisource heterogeneous big data processing architecture in smart city
下载PDF
导出
摘要 智慧城市建设的重心已由传统IT系统和信息资源共享建设,转变为数据的深度挖掘利用和数据资产的运营流通。大数据中心是数据资产管理和利用的实体基础,其核心驱动引擎是大数据平台及各类数据挖掘与分析系统。讨论了智慧城市大数据中心建设的功能架构,围绕城市多源异构数据处理的实际需要,对数据中心大数据平台的架构进行了拆分讲解,并以视频大数据处理为例,阐述了数据中心中大数据平台的运转流程。 The focus of smart city construction has been transferred from the tradition IT systems and sharing of information resources construction into the data mining operations and the flow of data assets. Big data center is the physical infrastructure of data assets management and utilization. Its core driver includes big data platform and kinds of data mining and analysis systems. The functional architecture of big data center in smart cities was discussed. And around the actual needs of urban multisource heterogeneous data processing, the structure of the big data platform used by parts was explained. Then taking the video processing as an example, the working flow of big data platform in the big data center was described.
出处 《大数据》 2017年第1期51-60,共10页 Big Data Research
关键词 智慧城市 大数据 多源异构 视频分析 smart city big data multisource and heterogeneous video analysis
  • 相关文献

参考文献4

二级参考文献23

共引文献1087

同被引文献195

引证文献14

二级引证文献82

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部