文章基本信息

标题：Dynamic Multi-level Indexes for Cloud P2P OLAP
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作者：Nam Hun Park ; Kil Hong Joo ; Jin Tak Choi 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：2
页码：21-30
DOI：10.14257/ijseia.2016.10.2.03
出版社：SERSC
摘要：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 data on P2P nodes. Also, volatile inquiry-cubes on servers become efficient when it is queried in local memory. The Cloud P2P OLAP is grafted onto hierarchical hybrid P2P for fast query results and multi-dimensional range query, so that the index loads are distributed and the performance is improved..
关键词：OLAP; P2P. Cloud computing; Cube Index