MALAGA - MultidimensionAL Big DAta Analytics over Massive Graph DAta

Focusing on the main research context represented by the issue of supporting big data analytics over big graph data, this paper introduces and experimentally assesses the framework MALAGA (MultidimensionAL Big DAta Analytics over Massive Graph DAta). MALAGA incorporates several innovations, including OLAP analysis of big graph data, columnar-OLAP methodologies, and Apache Hive extensions. A comprehensive experimental assessment and analysis of the framework’s performance is finally presented and discussed, by significantly integrating the conceptual contributions of our research.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825522
Citations
1
Primary Topic
Graph Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.25

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article

MALAGA - MultidimensionAL Big DAta Analytics over Massive Graph DAta

Mojtaba Hajian, Alfredo Cuzzocrea, Abderraouf Hafsaoui
1 citations
Graph Theory and Algorithms
0.25
article

MALAGA - MultidimensionAL Big DAta Analytics over Massive Graph DAta

Mojtaba Hajian, Alfredo Cuzzocrea, Abderraouf Hafsaoui
article en
1 citations

Abstract

Focusing on the main research context represented by the issue of supporting big data analytics over big graph data, this paper introduces and experimentally assesses the framework MALAGA (MultidimensionAL Big DAta Analytics over Massive Graph DAta). MALAGA incorporates several innovations, including OLAP analysis of big graph data, columnar-OLAP methodologies, and Apache Hive extensions. A comprehensive experimental assessment and analysis of the framework’s performance is finally presented and discussed, by significantly integrating the conceptual contributions of our research.

University of Calabria (IT)
National Research Centre
Openalex Percentile: Top 42%
Graph Theory and Algorithms
0.25
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