Scalable Replay-Based Replication For Fast Databases
Summary: Uses record-replay instead of recovery-log replay for primary-backup replication in high-throughput multicore databases. Concurrent replay scales backup performance with the primary while cutting replication bandwidth to 15–20% of traditional logging. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dai Qin (University of Toronto)
- 2. Angela Demke Brown (University of Toronto)
- 3. Ashvin Goel (University of Toronto)
BibTeX Citation
@article{qin_vldb17,
title = {{Scalable Replay-Based Replication For Fast Databases}},
author = {Qin, Dai and Brown, Angela Demke and Goel, Ashvin},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {13},
doi = {10.14778/3151106.3151107},
url = {https://doi.org/10.14778/3151106.3151107},
year = {2017}
}
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