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OLAP query execution costs many minutes by its enormous data and OLAP query properties. On the other hand, MOLAP has fast responses. But it has a physical space limit to materialize all cells in possible combinations. Therefore, MOLAP is unsuited to analyze large data. In this paper, to provide not only flexibility and expandability of ROLAP but also the speediness of MOLAP, the cloud server architecture is proposed which shares clients' cube cache by P2P and manages central index on cube datadoi:10.14257/ijseia.2016.10.2.03 fatcat:m5w7juk2sjhbvhcxzyjbmwtmbm