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LShape partitioning: Parallel skyline query processing using mapreduce (extended abstract)
Conference paper

LShape partitioning: Parallel skyline query processing using mapreduce (extended abstract)

Heri Wijayanto, Wenlu Wang, Wei-Shinn Ku and Arbee L.P. Chen
Proceedings - International Conference on Data Engineering, Vol.2021-April, pp.2340-2341
04/2021
DOI: https://doi.org/10.1109/ICDE51399.2021.00256

Abstract

Mapreduce Parallel computing Partitioning strategy Skyline query Software Signal Processing Information Systems
In this study, we propose two parallel skyline processing algorithms using a novel LShape partitioning strategy and an effective Propagation Filtering method. By extensive experiments, we verify that our algorithms outperformed the state-of-the-art approaches, especially for high-dimensional large scale datasets.

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