Low-Overhead Asynchronous Checkpointing in Main-Memory Database Systems
Summary: CALC enables asynchronous checkpointing for main-memory DBs via logical consistency rather than a point-in-time snapshot. It avoids latency spikes and extra memory, enabling frequent checkpoints with near-constant throughput. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kun Ren (Yale University)
- 2. Thaddeus Diamond (Yale University)
- 3. Daniel J. Abadi (Yale University)
- 4. Alexander Thomson (Yale University)
BibTeX Citation
@inproceedings{ren_sigmod16,
title = {{Low-Overhead Asynchronous Checkpointing in Main-Memory Database Systems}},
author = {Ren, Kun and Diamond, Thaddeus and Abadi, Daniel J. and Thomson, Alexander},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915966},
url = {https://dl.acm.org/doi/10.1145/2882903.2915966},
year = {2016}
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