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Data Placement In Bubba
Summary: Data placement in Bubba uses a heuristic declustering strategy to balance load. Results: declustering boosts balance but can reduce throughput for complex joins due to inter-node comms and startup/teardown overhead; argues for early, adaptable declustering and stats.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h47c4af5f22e1f526
Venue
SIGMOD
Year
1988
Pagerank
0.00025689465
Overall Rank
192 | 98.72%
DOI
10.1145/50202.50213
Incoming Non-self Citations Over Time
Authors
1.
George Copeland
(Microelectronics And Technology Computer Corporation)
2.
William Alexander
(Microelectronics And Technology Computer Corporation)
3.
Ellen Boughter
(Microelectronics And Technology Computer Corporation)
4.
Tom Keller
(Microelectronics And Technology Computer Corporation)
BibTeX Citation
@inproceedings{copeland_sigmod88,
title = {{Data Placement In Bubba}},
author = {Copeland, George and Alexander, William and Boughter, Ellen and Keller, Tom},
series = {{SIGMOD} '88},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/50202.50213},
url = {https://dl.acm.org/doi/10.1145/50202.50213},
year = {1988}
}
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