A Clustered Dwarf Structure to Speed Up Queries on Data Cubes

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Provided by: Korean Institute of Information Scientists and Engineers
Topic: Big Data
Format: PDF
Dwarf is a highly compressed structure, which compresses the cube by eliminating the semantic redundancies while computing a data cube. Although it has high compression ratio, Dwarf is slower in querying and more difficult in updating due to its structure characteristics. The authors all know that the original intention of data cube is to speed up the query performance, so they propose two novel clustering methods for query optimization: the recursion clustering method which clusters the nodes in a recursive manner to speed up point queries and the hierarchical clustering method which clusters the nodes of the same dimension to speed up range queries.
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