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Online Feedback for Nested Aggregate Queries with Multi-Threading

Summary: Progressive evaluation of nested aggregate queries emits answers guaranteed to remain in the final result before uncertainty is resolved. A two-thread design decouples outer and inner query processing, with user-controlled scheduling to reduce initial latency without sacrificing answer quality. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hc8df8ea56d56185a
Venue
VLDB
Year
1999
Pagerank
6.2050665e-05
Overall Rank
5,257 | 64.67%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tan_vldb99,
        title = {{Online Feedback for Nested Aggregate Queries with Multi-Threading}},
        author = {Tan, Kian-Tat and Goh, Cheng Hian and Ooi, Beng Chin},
        journal = {PVLDB},
        series = {{VLDB} '99},
        pages = {18--29},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,820 A Scalable Hash Ripple Join Algorithm 2002 SIGMOD 9.5651265e-05
2,327 Partial Results for Online Query Processing 2002 SIGMOD 8.6271354e-05
3,904 Distributed Online Aggregations 2009 VLDB 6.9307047e-05
6,534 Moirae: History-Enhanced Monitoring 2007 CIDR 5.7517687e-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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