DBMS Annihilator: A High-Performance Database Workload Generator in Action
Summary: Hardware-software co-design for DBMS benchmarking: workloads authored in a high-level language compiled to FPGA on commodity Smart NICs. Real-time console/dashboard enables reproducible, end-to-end benchmarking with minimal host-stack overhead and full hardware exposure. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Alberto Lerner (University of Freiburg)
- 2. Matthias Jasny (Technical University of Darmstadt)
- 3. Theo Jepsen (Stanford University)
- 4. Carsten Binnig (German National Research Center for Information Technology; Technical University of Darmstadt)
- 5. Philippe Cudré-Mauroux (University of Freiburg)
BibTeX Citation
@article{lerner_vldb22,
title = {{DBMS Annihilator: A High-Performance Database Workload Generator in Action}},
author = {Lerner, Alberto and Jasny, Matthias and Jepsen, Theo and Binnig, Carsten and Cudré-Mauroux, Philippe},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3682--3685},
doi = {10.14778/3554821.3554874},
url = {https://doi.org/10.14778/3554821.3554874},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,753 | Databases on Modern Networks: A Decade of Research That Now Comes into Practice | 2023 | VLDB | 5.5520108e-05 |
| 8,179 | GraphINC: Graph Pattern Mining at Network Speed | 2023 | SIGMOD | 5.472762e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 614 | Faster: A Concurrent Key-Value Store with In-Place Updates | 2018 | SIGMOD | 0.00015720975 |
| 882 | HOT: A Height Optimized Trie Index for Main-Memory Database Systems | 2018 | SIGMOD | 0.0001342403 |
| 3,460 | DIAMetrics: Benchmarking Query Engines at Scale | 2020 | VLDB | 7.3939262e-05 |
| 4,626 | In-Network Support for Transaction Triaging | 2021 | VLDB | 6.5985783e-05 |
| 7,998 | P4DB - The Case for In-Network OLTP | 2022 | SIGMOD | 5.5093728e-05 |
| 9,668 | D-RDMA: Bringing Zero-Copy RDMA to Database Systems | 2022 | CIDR | 5.2392753e-05 |
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