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A Case for Staged Database Systems

Summary: Replace monolithic, work-centric threaded DBMS with a staged, data-centric architecture: self-contained stages connected by queues, each owning data, resources, and local scheduling. Yields better cache locality, resource isolation, and evolvability under changing workloads. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
21
Venue
CIDR
Year
2003
Pagerank
8.6362653e-05
Overall Rank
2,394 | 83.58%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{harizopoulos_cidr03,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '03},
        title = {{A Case for Staged Database Systems}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Harizopoulos, Stavros and Ailamaki, Anastassia},
        year = {2003}
}

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