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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
9.0225171e-05
Overall Rank
2,328 | 83.81%
DOI
-

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