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Reducing Multidatabase Query Response Time By Tree Balancing

Summary: Two-phase optimization for multidatabase queries: build an optimal left-deep join tree, then balance with simple transformations for lower latency. Balancing lowers response time and resource use for sort-merge/hash-join plans, with low overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2870
Venue
SIGMOD
Year
1995
Pagerank
6.4525702e-05
Overall Rank
4,902 | 66.37%
DOI
10.1145/223784.223846

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{du_sigmod95,
        title = {{Reducing Multidatabase Query Response Time By Tree Balancing}},
        author = {Du, Weimin and Shan, Ming-Chien and Dayal, Umeshwar},
        series = {{SIGMOD} '95},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/223784.223846},
        url = {https://dl.acm.org/doi/10.1145/223784.223846},
        year = {1995}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
419 Cost-based Query Scrambling for Initial Delays 1998 SIGMOD 0.0001879684
4,091 Of Snowstorms and Bushy Trees 2014 VLDB 6.9090244e-05
4,700 Cost Models DO Matter: Providing Cost Information for Diverse Data Sources in a Federated System 1999 VLDB 6.5557492e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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