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Angle-based Space Partitioning for Efficient Parallel Skyline Computation

Summary: Angle-based space partitioning with hyperspherical coordinates for parallel skyline computation. Uniform skyline distribution across partitions, stronger pruning, less redundant work; outperforms grid partitioning in share-nothing setups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3991
Venue
SIGMOD
Year
2008
Pagerank
6.9108126e-05
Overall Rank
3,616 | 74.87%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,577 Designing Fair Ranking Schemes 2019 SIGMOD 0.00011276814
5,708 Scalable Skyline Computation Using Object-based Space Partitioning 2009 SIGMOD 5.3629476e-05
6,568 Efficient Parallel Skyline Processing using Hyperplane Projections 2011 SIGMOD 5.0020592e-05
8,857 Distributed Evaluation of Top-k Temporal Joins 2016 SIGMOD 4.4302523e-05
10,335 Scalable Grid-based Computation of Kendall’s tau Correlation 2026 VLDB 4.1905499e-05
11,972 Work-Efficient Parallel Skyline Computation for the GPU 2015 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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