Research on Storage and Incremental Update Technology of Semantic Cube Based on Dimension Hierarchy

By using the dimension technique on the cube,the paper proposed the highly performance DHSC(Semantic Cube based on Dimension Hierarchy).DHSC stores the pre-aggregate data and dimension hierarchy information through the index of each dimensions,thus,it could optimize the query efficiency and update efficiency,and also support the cube semantic operation such as roll up and drill down.The DHSC could incrementally update the all affected ancestor notes while updating the data cell by insertion and deletion in it, and also incrementally model update.As a result,this algorithm could greatly reduce the update time.Author had compared the performances of DHSC with the previous ones(e.g.SDDC).The analytical and experimental results show that the performances of DHSC proposed are more efficient.