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Database Optimization for the Cloud: Where Costs, Partial Results, and Consumer Choice Meet

Summary: DBaaS optimization that lets users trade money for controlled-quality query outcomes by specifying acceptable classes of partial results (semantic guarantees over incomplete inputs). Integrates a partial-result taxonomy into cost-based query planning for cloud pricing. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
258
Venue
CIDR
Year
2015
Pagerank
5.3438458e-05
Overall Rank
8,961 | 38.52%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lang_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Database Optimization for the Cloud: Where Costs, Partial Results, and Consumer Choice Meet}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Lang, Willis and Nehme, Rimma V. and Rae, Ian},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,021 Identifying the Extent of Completeness of Query Answers over Partially Complete Databases 2015 SIGMOD 6.0050351e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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