Live Patching for Distributed In-Memory Key-Value Stores
Summary: Live patching updates Redis Cluster entirely in memory, avoiding node restarts and costly state resynchronization. Patch dissemination supports push/pull, piggybacks on cluster gossip, and handles dynamic join/leave; results show orders-of-magnitude faster updates and generalizable guidance to PostgreSQL. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,130 | The Case for DBMS Live Patching | 2024 | VLDB | 4.1905499e-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 |
|---|---|---|---|---|
| 167 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00039408116 |
| 5,246 | Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level | 2023 | VLDB | 5.6017022e-05 |
| 11,356 | Live Patching Database Management Systems | 2022 | SIGMOD | 4.1905499e-05 |
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