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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)

Paper ID
6458
Venue
SIGMOD
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,552 | 20.75%
DOI
10.1145/3514221.3520253

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{fruth_sigmod22,
        title = {{Live Patching Database Management Systems}},
        author = {Fruth, Michael},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3520253},
        url = {https://dl.acm.org/doi/10.1145/3514221.3520253},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
11,201 Live Patching for Distributed In-Memory Key-Value Stores 2024 SIGMOD 5.093636e-05
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
226 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00024027277
1,352 Scuba: Diving into Data at Facebook 2013 VLDB 0.00011064595
5,019 Fast Database Restarts at Facebook 2014 SIGMOD 6.3987706e-05
Previous Page 1 / 1 Next

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