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QUILTS: Multidimensional Partitioning Framework Based on Query-Aware and Skew-Tolerant Space-Filling Curves

Summary: QUILTS is a multidimensional partitioning framework using query-aware, skew-tolerant space-filling curves to minimize page accesses via data skipping. It offers a cost model and curve-design method tuned to query patterns and data skew, with experiments showing order-of-magnitude gains for DWH/GIS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5362
Venue
SIGMOD
Year
2017
Pagerank
5.9090498e-05
Overall Rank
6,335 | 56.54%
DOI
10.1145/3035918.3035934

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nishimura_sigmod17,
        title = {{QUILTS: Multidimensional Partitioning Framework Based on Query-Aware and Skew-Tolerant Space-Filling Curves}},
        author = {Nishimura, Shoji and Yokota, Haruo},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035934},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035934},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

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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.

Rank Cited Paper Year Venue Pagerank
165 DB2 with BLU Acceleration: So Much More than Just a Column Store 2013 VLDB 0.00027693424
1,044 Fine-grained Partitioning for Aggressive Data Skipping 2014 SIGMOD 0.0001244236
2,155 Integrating the UB-Tree into a Database System Kernel 2000 VLDB 9.0713545e-05
2,742 Multiattribute Hashing Using Gray Codes. 1986 SIGMOD 8.1827223e-05
5,787 On the Optimality of Clustering Properties of Space Filling Curves 2012 PODS 6.088071e-05
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