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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Michael Fruth (University of Passau)
- 2. Stefanie Scherzinger (University of Passau)
BibTeX Citation
@inproceedings{fruth_sigmod24,
title = {{Live Patching for Distributed In-Memory Key-Value Stores}},
author = {Fruth, Michael and Scherzinger, Stefanie},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3698816},
url = {https://dl.acm.org/doi/10.1145/3698816},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,333 | The Case for DBMS Live Patching | 2024 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 66 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00038561587 |
| 5,727 | Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level | 2023 | VLDB | 6.1077281e-05 |
| 11,552 | Live Patching Database Management Systems | 2022 | SIGMOD | 5.093636e-05 |
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