Distributed Storage and Fast Query of Air Traffic Control Spatiotemporal Data
Aiming at the massive spatiotemporal data of air traffic control monitoring lack of effective distributed storage models,and cannot effectively support fast retrieval and queries.Firstly,spatial en-coding S2 is imported,and a distributed storage model of air traffic control monitoring(PS2-HBase)is established.Then,the spatiotemporal polygonal query and k-nearest neighbor(KNN)query algo-rithm strategies are optimized,a prototype of a distributed storage and query system for air traffic con-trol spatiotemporal data is built.Finally,the experiments are conducted on real datasets.Compared with the traditional ST-Hash method,the results show that the method is tested to be superior to the ST-Hash strategy in two query scenarios.
spatiotemporal datadistributed storage modelspatiotemporal range queryk-nearest neighbor(KNN)query
NETL
NSTL
万方数据
维普
