Exploiting Directly-Attached NVMe Arrays in DBMS
Summary: Study of Directly-Attached NVMe Arrays (DANA) in DBMS, showing commodity servers can host multiple PCIe SSDs whose aggregated bandwidth approaches DRAM. Identify novel I/O challenges at the database and OS layers and argue for rethinking I/O paths and operation semantics to exploit DANA. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gabriel Haas (Friedrich Schiller University of Jena)
- 2. Michael Haubenschild (Tableau Research)
- 3. Viktor Leis (Friedrich Schiller University of Jena)
BibTeX Citation
@inproceedings{haas_cidr20,
address = {Amsterdam, Netherlands},
series = {{CIDR} '20},
title = {{Exploiting Directly-Attached NVMe Arrays in DBMS}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Haas, Gabriel and Haubenschild, Michael and Leis, Viktor},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 38 of 38 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 235 | OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases | 2014 | VLDB | 0.00023689995 |
| 542 | FOEDUS: OLTP Engine for a Thousand Cores and NVRAM | 2015 | SIGMOD | 0.00016654017 |
| 1,014 | Flashing Up the Storage Layer | 2008 | VLDB | 0.0001250085 |
| 1,283 | Managing Non-Volatile Memory in Database Systems | 2018 | SIGMOD | 0.00011205832 |
| 1,399 | SSD Bufferpool Extensions for Database Systems | 2010 | VLDB | 0.00010778545 |
| 2,841 | Turbocharging DBMS Buffer Pool Using SSDs | 2011 | SIGMOD | 7.9470586e-05 |
| 3,007 | Query Fresh: Log Shipping on Steroids | 2018 | VLDB | 7.7593448e-05 |
| 5,943 | Operation-Aware Buffer Management in Flash-based Systems | 2011 | SIGMOD | 5.9361142e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,990 | Optimizing Databases by Learning Hidden Parameters of Solid State Drives | 2020 | VLDB |
| 2 | 1,060 | Accelerating Relational Databases by Leveraging Remote Memory and RDMA | 2016 | SIGMOD |
| 3 | 1,139 | Query Processing on Smart SSDs: Opportunities and Challenges | 2013 | SIGMOD |
| 4 | 2,841 | Turbocharging DBMS Buffer Pool Using SSDs | 2011 | SIGMOD |
| 5 | 6,297 | Database Kernels: Seamless Integration of Database Systems and Fast Storage via CXL | 2024 | CIDR |
| 6 | 5,954 | The Necessary Death of the Block Device Interface | 2013 | CIDR |
| 7 | 10,372 | Flexible I/O for Database Management Systems with xNVMe | 2026 | CIDR |
| 8 | 11,199 | Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs | 2025 | SIGMOD |
| 9 | 6,832 | When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations | 2023 | VLDB |
| 10 | 2,921 | What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines | 2023 | VLDB |