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SSD-iq: Uncovering the Hidden Side of SSD Performance
Summary: Commercial data-center SSDs with similar headline specs show large, undocumented performance divergence that materially affects DB performance, particularly for writes. SSD-iq: a benchmark adding four metrics to expose controller and write-path behaviors missed by capacity/sequential/random specs.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14047
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,741 | 25.35%
- DOI
-
10.14778/3749646.3749694
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 339 |
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases |
2014 |
VLDB |
0.00026895683 |
| 1,325 |
uFLIP: Understanding Flash IO Patterns |
2009 |
CIDR |
0.00012582838 |
| 3,373 |
Improving Flash Write Performance by Using Update Frequency |
2013 |
VLDB |
7.1633464e-05 |
| 3,682 |
Exploiting Directly-Attached NVMe Arrays in DBMS |
2020 |
CIDR |
6.8429686e-05 |
| 3,724 |
What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines |
2023 |
VLDB |
6.8121422e-05 |
| 4,436 |
2R: Efficiently Isolating Cold Pages in Flash Storages |
2020 |
VLDB |
6.1840937e-05 |
| 5,229 |
Optimizing Databases by Learning Hidden Parameters of Solid State Drives |
2020 |
VLDB |
5.6140339e-05 |
| 7,947 |
It Takes Two: Instrumenting the Interaction between In-Memory Databases and Solid-State Drives |
2020 |
CIDR |
4.6089395e-05 |
| 8,165 |
Scalable and Robust Snapshot Isolation for High-Performance Storage Engines |
2023 |
VLDB |
4.5680112e-05 |
| 10,503 |
Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs |
2025 |
SIGMOD |
4.1905499e-05 |
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| 5,401 |
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| 8,102 |
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