nKV in Action: Accelerating KV-Stores on Native Computational Storage with Near-Data Processing
Summary: nKV uses native computational storage and near-data processing to accelerate a KV-store with reduced data movement. In-situ GET/SCAN and Betweenness Centrality yield 1.4x-2.7x gains on COSMOS+ hardware. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tobias Vinçon
- 2. Arthur Bernhardt
- 3. Ilia Petrov
- 4. Lukas Weber
- 5. Andreas Koch
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,227 | Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine | 2022 | VLDB | 6.3434324e-05 |
| 7,235 | Catalyst: Optimizing Cache Management for Large In-memory Key-value Systems | 2023 | VLDB | 4.7937267e-05 |
| 7,688 | Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads | 2022 | VLDB | 4.6772837e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,338 | Query Processing on Smart SSDs: Opportunities and Challenges | 2013 | SIGMOD | 0.00012493384 |
| 1,896 | YourSQL: A High-Performance Database System Leveraging In-Storage Computing | 2016 | VLDB | 0.00010179224 |
| 3,880 | Caribou: Intelligent Distributed Storage | 2017 | VLDB | 6.6700303e-05 |
| 6,746 | JAFAR: Near-Data Processing for Databases | 2015 | SIGMOD | 4.9413527e-05 |
| 7,385 | Less Watts, More Performance: An Intelligent Storage Engine for Data Appliances | 2013 | SIGMOD | 4.7445608e-05 |
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