Skyline Computation for Big Data

Skyline computation is an essential database operation that has many applications in multi-criteria decision making scenarios such as recommender systems. Existing algorithms have focused on checking point domination, which lack efficiency over large datasets. We propose a grid-based structure that enables grid cell domination checks. We show that only a small constant number of cells need to be checked which is independent from the number of data points. Our structure also enables parallel processing. We thus obtain a highly efficient parallel skyline algorithm named SkyCell, taking advantage of the parallelization power of graphics processing units. Experimental results confirm the effectiveness and efficiency of SkyCell -it outperforms stateof-the-art algorithms consistently and by up to over two orders of magnitude in the computation time.

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Skyline Computation for Big Data

Cited by 3 publications

References 22 publications

Comparative Study on Skyline Query Processing Techniques on Big Data

Comparative Study on Skyline Query Processing Techniques on Big Data

Parallel Skyline Processing Using Space Pruning on GPU

SkyCell: A Space-Pruning Based Parallel Skyline Algorithm

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