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Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability

Summary: A novel sort-based R-tree packing strategy achieves asymptotically optimal worst-case I/O for window queries while remaining efficient across data distributions. Its sorting-only structure enables strongly parallel bulk-loading with provable communication performance and scalable experiments. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11958
Venue
VLDB
Year
2018
Pagerank
5.6873519e-05
Overall Rank
7,151 | 50.94%
DOI
10.1145/3177732.3177738

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BibTeX Citation

@article{qi_vldb18,
        title = {{Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability}},
        author = {Qi, Jianzhong and Tao, Yufei and Chang, Yanchuan and Zhang, Rui},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {5},
        pages = {621--634},
        doi = {10.1145/3177732.3177738},
        url = {https://doi.org/10.1145/3177732.3177738},
        year = {2018}
}

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