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Multidimensional query processing algorithm by dimension transformation
Rejwana Tasnim Rimi1, K M Azharul Hasan2, Tatsuo Tsuji3
1Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh. rejwana@kuet.ac.bd.
Scientific Reports
|April 11, 2023
Summary
We developed a new Converted two-dimensional Array (C2A) for faster multidimensional query processing. This method improves data retrieval performance and reduces computation costs for scientific data.
Area of Science:
- Computer Science
- Data Management
Background:
- Multidimensional query processing is crucial for scientific data analysis.
- Existing methods face challenges with high dimensionality and data locality.
Purpose of the Study:
- To propose an efficient in-memory multidimensional query processing algorithm.
- To introduce a novel array system, the Converted two-dimensional Array (C2A), for dense data.
Main Methods:
- Developed the Converted two-dimensional Array (C2A) by transforming n dimensions into 2.
- Designed and analyzed algorithms for single key and range key queries using C2A.
- Compared C2A performance against Traditional Multidimensional Array (TMA).
Main Results:
- C2A algorithms demonstrate improved data locality and reduced cache miss rates.
- C2A shows lower computation costs, especially with increasing dimensions, compared to TMA.
- Experimental results confirm C2A's superior performance over TMA.
Conclusions:
- The C2A system offers a more efficient approach to multidimensional query processing.
- C2A enhances data retrieval speed and reduces computational overhead in scientific data analysis.
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