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)
Incoming Non-self Citations Over Time
Authors
- 1. Stavros Harizopoulos (Carnegie Mellon University)
- 2. Anastassia Ailamaki (Carnegie Mellon University)
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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