Multi-granularity Temporal and Spatial Approximate Aggregate Query on RFID Data Warehouse
RFID数据仓库上的多时空粒度近似聚集查询

With the development of Internet of hhings (IOT) , the research concerning storage, query, processing, etc. of sensor data, such as RFID, is becoming more and more popular. In this paper, with the thoughts of temporal and spatial dimensions in data warehouse and column-style storage, we built a column-style warehouse for RFID data. Moreover, according to the temporal and spatial characteristics of RF ID data, we designed a data structure for continuous aggregate query of multiple temporal and spatial granularity and a fast updating algorithm, which can remove a part of redundant operation in traditional aggregate query. I}he structure and algorithm can be applied for processing largcscale continuous aggregate query in RFID data warehouse. The experiment results show that the model and algorithm can achieve high efficiency in some typical application of IOT ( Internet of Things) , and can be widely applied to massive data OLAP analysis in RFID data warehouse.