DoomDB - Kill the Query
Summary: Proposes a cost-based fault-tolerance scheme for XDB that selectively materializes intermediate results to minimize latency under node failures. DoomDB demo uses an ego-shooter game to kill cluster nodes, stress-test fault-tolerance for short queries. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Carsten Binnig (Baden-Wuerttemberg Cooperative State University)
- 2. Abdallah Salama (Baden-Wuerttemberg Cooperative State University)
- 3. Erfan Zamanian (Baden-Wuerttemberg Cooperative State University)
BibTeX Citation
@inproceedings{binnig_sigmod14,
title = {{DoomDB - Kill the Query}},
author = {Binnig, Carsten and Salama, Abdallah and Zamanian, Erfan},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2594525},
url = {https://dl.acm.org/doi/10.1145/2588555.2594525},
year = {2014}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 425 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018704491 |
| 2,622 | A Latency and Fault-Tolerance Optimizer for Online Parallel Query Plans | 2011 | SIGMOD | 8.3330136e-05 |
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