Squall: Fine-Grained Live Reconfiguration for Partitioned Main Memory Databases
Summary: Fine-grained live reconfiguration for partitioned, main-memory DBMSs. Squall enables real-time repartitioning with distributed transactions and replicated data, achieving zero downtime and minimal latency overhead under high-throughput OLTP workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Aaron J. Elmore (University of Chicago)
- 2. Vaibhav Arora (University of California Santa Barbara)
- 3. Rebecca Taft (Massachusetts Institute of Technology)
- 4. Andrew Pavlo (Carnegie Mellon University)
- 5. Divyakant Agrawal (Qatar Computing Research Institute; University of California Santa Barbara)
- 6. Amr El Abbadi (University of California Santa Barbara)
BibTeX Citation
@inproceedings{elmore_sigmod15,
title = {{Squall: Fine-Grained Live Reconfiguration for Partitioned Main Memory Databases}},
author = {Elmore, Aaron J. and Arora, Vaibhav and Taft, Rebecca and Pavlo, Andrew and Agrawal, Divyakant and Abbadi, Amr El},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2723726},
url = {https://dl.acm.org/doi/10.1145/2723372.2723726},
year = {2015}
}
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