Abstract | ||
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Following our previous research results, in this paper we provide two authoritative application scenarios that build on top of OLAP*, a middleware for parallel processing of OLAP queries that truly realizes effective and efficiently OLAP over Big Data. We have provided two authoritative case studies, namely parallel OLAP data cube processing and virtual OLAP data cube design, for which we also propose a comprehensive performance evaluation and analysis. Derived analysis clearly confirms the benefits of our proposed framework. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1109/CCGrid.2015.174 | Cluster, Cloud and Grid Computing |
Keywords | Field | DocType |
Big Data,cloud computing,data mining,middleware,Big Data,OLAP queries,OLAP*,authoritative application scenarios,cloud-based OLAP,middleware,parallel OLAP data cube processing,parallel processing,performance evaluation,virtual OLAP data cube design | Data warehouse,Middleware,Data mining,Computer science,Server,Online analytical processing,Big data,Benchmark (computing),Data cube,Database,Cloud computing | Conference |
ISSN | Citations | PageRank |
2376-4414 | 0 | 0.34 |
References | Authors | |
13 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alfredo Cuzzocrea | 1 | 1751 | 200.90 |
Rim Moussa | 2 | 76 | 8.19 |
Guandong Xu | 3 | 84 | 18.83 |
Giorgio Mario Grasso | 4 | 4 | 6.82 |