BSkyTree: Scalable skyline computation using a balanced pivot selection

Jongwuk Lee, Seung Won Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

37 Citations (Scopus)

Abstract

Skyline queries have gained a lot of attention for multi-criteria analysis in large-scale datasets. While existing skyline algorithms have focused mostly on exploiting data dominance to achieve efficiency, we propose that data incomparability should be treated as another key factor in optimizing skyline computation. Specifically, to optimize both factors, we first identify common modules shared by existing non-index skyline algorithms, and then analyze them to develop a cost model to guide a balanced pivot point selection. Based on the cost model, we lastly implement our balanced pivot selection in two algorithms, BSkyTree-S and BSkyTree-P, treating both dominance and incomparability as key factors. Our experimental results demonstrate that proposed algorithms outperform state-of-the-art skyline algorithms up to two orders of magnitude.

Original languageEnglish
Title of host publicationAdvances in Database Technology - EDBT 2010 - 13th International Conference on Extending Database Technology, Proceedings
Pages195-206
Number of pages12
DOIs
Publication statusPublished - 2010
Event13th International Conference on Extending Database Technology: Advances in Database Technology - EDBT 2010 - Lausanne, Switzerland
Duration: 2010 Mar 222010 Mar 26

Publication series

NameAdvances in Database Technology - EDBT 2010 - 13th International Conference on Extending Database Technology, Proceedings

Other

Other13th International Conference on Extending Database Technology: Advances in Database Technology - EDBT 2010
CountrySwitzerland
CityLausanne
Period10/3/2210/3/26

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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    Lee, J., & Hwang, S. W. (2010). BSkyTree: Scalable skyline computation using a balanced pivot selection. In Advances in Database Technology - EDBT 2010 - 13th International Conference on Extending Database Technology, Proceedings (pp. 195-206). (Advances in Database Technology - EDBT 2010 - 13th International Conference on Extending Database Technology, Proceedings). https://doi.org/10.1145/1739041.1739067