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On Joining and Caching Stochastic Streams

Summary: A statistics-aware caching framework for joining stochastic streams with bounded memory aims to maximize the expected number of output tuples. It shows that full lookahead can be suboptimal, derives a dominance condition between candidate tuples, and provides a heuristic that matches optimal behavior under that condition, with empirical gains and a reduction of static paging to stream joins. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3711
Venue
SIGMOD
Year
2005
Pagerank
5.7282075e-05
Overall Rank
7,001 | 51.97%
DOI
10.1145/1066157.1066199

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xie_sigmod05,
        title = {{On Joining and Caching Stochastic Streams}},
        author = {Xie, Junyi and Yang, Jun and Chen, Yuguo},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066199},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066199},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,657 Memory-Limited Execution of Windowed Stream Joins 2004 VLDB 7.2217692e-05
4,630 Efficient Join Synopsis Maintenance for Data Warehouse 2020 SIGMOD 6.5955933e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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