Live Patching Database Management Systems
Summary: Live patching for running DBMSs in cloud DBaaS; security fixes on tight margins. Latency under patching measured across benchmarks; builds on WfPatch/Rommel, evaluates in-memory DBMS impact, and flags open questions on live-update interactions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,990 | Live Patching for Distributed In-Memory Key-Value Stores | 2024 | SIGMOD | 4.1945683e-05 |
| 11,127 | The Case for DBMS Live Patching | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 340 | OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases | 2014 | VLDB | 0.00026841628 |
| 1,487 | Scuba: Diving into Data at Facebook | 2013 | VLDB | 0.00011701099 |
| 5,120 | Fast Database Restarts at Facebook | 2014 | SIGMOD | 5.6803959e-05 |
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