AHEAD: Adaptable Data Hardening for On-the-Fly Hardware Error Detection during Database Query Processing
Summary: AHEAD: adaptive data hardening for on-the-fly hardware error detection in DB queries via arithmetic coding. End-to-end protection spans memory, interconnect, and computations; runtime-changing error models reduce overhead versus hardware-only schemes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Till Kolditz (Technical University of Dresden)
- 2. Dirk Habich (Technical University of Dresden)
- 3. Wolfgang Lehner (Technical University of Dresden)
- 4. Matthias Werner (Technical University of Dresden)
- 5. S.T.J. de Bruijn (NubiloSoft)
BibTeX Citation
@inproceedings{kolditz_sigmod18,
title = {{AHEAD: Adaptable Data Hardening for On-the-Fly Hardware Error Detection during Database Query Processing}},
author = {Kolditz, Till and Habich, Dirk and Lehner, Wolfgang and Werner, Matthias and de Bruijn, S.T.J.},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183740},
url = {https://dl.acm.org/doi/10.1145/3183713.3183740},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,000 | Data Management for Data Science: Towards Embedded Analytics | 2020 | CIDR | 9.3336258e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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