A Cloud-based Framework for Supporting Effective and Efficient OLAP in Big Data Environments

被引：8
|
作者：
Cuzzocrea, Alfredo [1 ,2 ]
Moussa, Rim [3 ]
机构：
[1] ICAR CNR, Cosenza, Italy
[2] Univ Calabria, I-87036 Cosenza, Italy
[3] ZENITH INRIA, Sophia Antipolis, France
来源：
2014 14TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID) | 2014年
关键词：
D O I：
10.1109/CCGrid.2014.129
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Inspired by the emerging Big Data challenge, in this paper we provide the description of OLAP*, a Cloud-based framework for supporting effective and efficient OLAP in Big Data environments. OLAP* combines data warehouse partitioning techniques with Cloud Computing paradigms, and provides a suitable implementation on top of the well-known ROLAP server Mondrian where the main task consists in applying meaningful transformation of multidimensional database schemas. We complement our analytical contribution by mean of a case study showing the effectiveness of our framework in a practical setting.
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页码：680 / 684
页数：5
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