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RPJ: Producing Fast Join Results on Streams through Rate-based Optimization

Summary: RPJ is a rate-based progressive join for streaming relations over unreliable networks, to start output quickly and maintain high throughput. A theoretical framework guides optimization by adapting to data distribution and arrival patterns, yielding faster results than prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3712
Venue
SIGMOD
Year
2005
Pagerank
6.0443263e-05
Overall Rank
5,911 | 59.45%
DOI
10.1145/1066157.1066200

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tao_sigmod05,
        title = {{RPJ: Producing Fast Join Results on Streams through Rate-based Optimization}},
        author = {Tao, Yufei and Yiu, Man Lung and Papadias, Dimitris and Hadjieleftheriou, Marios and Mamoulis, Nikos},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066200},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066200},
        year = {2005}
}

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