Spatial data service optimizing based on dynamic index and buffer pool

Aiming at the performance advance of spatial data service, data accessing behavior and index scheme were researched. Based on the influence from human to data, a non-uniform data accessing conception, dynamic index and buffer pool basing on attention degree were put forward, and a double-index application pattern was designed. Emulational experiments with real data prove that the methods can improve the data indexing speed and total service performance efficiently.