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Continuous Query Processing in Data Streams Using Duality of Data and Queries

Summary: Uses data-query duality to unify data-driven and query-driven CQ processing. Transforms CQ into a spatial-join view; introduces Spatial Join CQ that pairs overlapping data and query regions, achieving up to 36x and 7x improvements over prior methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3823
Venue
SIGMOD
Year
2006
Pagerank
5.1758281e-05
Overall Rank
10,017 | 31.28%
DOI
10.1145/1142473.1142509

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lim_sigmod06,
        title = {{Continuous Query Processing in Data Streams Using Duality of Data and Queries}},
        author = {Lim, Hyo-Sang and Lee, Jae-Gil and Lee, Min-Jae and Whang, Kyu-Young and Song, Il-Yeol},
        series = {{SIGMOD} '06},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1142473.1142509},
        url = {https://dl.acm.org/doi/10.1145/1142473.1142509},
        year = {2006}
}

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Rank Citing Paper Year Venue Pagerank
5,805 Diva: Making MVCC Systems HTAP-Friendly 2022 SIGMOD 6.0822211e-05
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