Dynamic Multi-level Indexes for Cloud P2P OLAP

Abstract

OLAP query execution costs many minutes by its enormous data and OLAP queryproperties. On the other hand, MOLAP has fast responses. But it has a physical spacelimit to materialize all cells in possible combinations. Therefore, MOLAP is unsuited toanalyze large data. In this paper, to provide not only flexibility and expandability ofROLAP but also the speediness of MOLAP, the cloud server architecture is proposedwhich shares clients’ cube cache by P2P and manages central index on cube data on P2Pnodes. Also, volatile inquiry-cubes on servers become efficient when it is queried in localmemory. The Cloud P2P OLAP is grafted onto hierarchical hybrid P2P for fast queryresults and multi-dimensional range query, so that the index loads are distributed and theperformance is improved..