【摘要】 物联网中传感器节点的数据在汇集到集控设备后,需要对数据进行存储、分类、优化及响应(或显示).对于传感器节点采集的海量数据,目前常使用数据分层管理、优化查询条件的方式来实现实时响应,为了进一步提高数据的处理与响应效率,这里将考虑在数据分层的基础上构建嵌套数据集,并提出了嵌套数据集的管理与优化模型,最后给出了实际的应用效果.更多还原

【Abstract】 After being collected intensively to centralized control station,the data from the nodes of the sensors in the Internet of things are still needed to be stored,classified,optimized and reacted(or displayed).As to mass data acquired by sensor nodes,real reaction is realized in usual ways by data layering management and optimizing query conditions.To boost the efficiency of data processing and reacting further,the nested datasets are proposed to be built on the basis of data layering,further more,the nested datasets’ management and optimization models are represented.At last,actual results are offered.更多还原