Deploying Computational Storage for HTAP DBMSs Takes More Than Just Computation Offloading
Summary: AIDE enables vendor-neutral HTAP analytics on computational storage via canonical tuples, separate data locators, and host-side index prescreening that avoids costly version searches. One FPGA implementation supports PostgreSQL and MyRocks, improving latency up to 42×. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kitaek Lee (Hanyang University)
- 2. Insoon Jo (Hanyang University)
- 3. Jaechan Ahn (Hanyang University)
- 4. Hyuk Lee (Samsung)
- 5. Hwang Lee (Samsung)
- 6. Woong Sul (Hanyang University)
- 7. Hyungsoo Jung (Hanyang University)
BibTeX Citation
@article{lee_vldb23,
title = {{Deploying Computational Storage for HTAP DBMSs Takes More Than Just Computation Offloading}},
author = {Lee, Kitaek and Jo, Insoon and Ahn, Jaechan and Lee, Hyuk and Lee, Hwang and Sul, Woong and Jung, Hyungsoo},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {6},
pages = {1480--1493},
doi = {10.14778/3583140.3583161},
url = {https://doi.org/10.14778/3583140.3583161},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,109 | veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System | 2025 | VLDB | 5.0672857e-05 |
| 10,400 | HeraDB: Towards Real-time Analysis of Transaction-Centric HTAP with CPU-GPU Hybrid Query Execution | 2027 | SIGMOD | 4.9605343e-05 |
| 10,835 | Kirin: Efficient In-Storage Learned Compaction for LSM-Trees via System-Algorithm Co-Design | 2026 | VLDB | 4.9605343e-05 |
| 11,494 | Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs | 2025 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10 | 6,031 | Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads | 2022 | VLDB |