Scalable, Near-Zero Loss Disaster Recovery for Distributed Data Stores
Summary: Slogger: near-zero-loss DR for linearizable stores via continuous backup, lag, async log replication, clocks, batching, and a watermark. Add-on deployable; tested on LogCabin, delivering 14.2 ms loss window and ~50% improvement over snapshots, with scalable failover. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ahmed Alquraan (University of Waterloo)
- 2. Alex Kogan (Oracle)
- 3. Virendra J. Marathe (Oracle)
- 4. Samer Al-Kiswany (University of Waterloo)
BibTeX Citation
@article{alquraan_vldb20,
title = {{Scalable, Near-Zero Loss Disaster Recovery for Distributed Data Stores}},
author = {Alquraan, Ahmed and Kogan, Alex and Marathe, Virendra J. and Al-Kiswany, Samer},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {9},
pages = {1429--1442},
doi = {10.14778/3397230.3397239},
url = {https://doi.org/10.14778/3397230.3397239},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,686 | TDSQL: Tencent Distributed Database System | 2024 | VLDB | 5.5676271e-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 |
|---|---|---|---|---|
| 73 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00037333356 |
| 2,965 | An Efficient and Flexible Method for Archiving a Data Base | 1993 | SIGMOD | 7.9154798e-05 |
| 7,468 | High Speed On-line Backup When Using Logical Log Operations | 2000 | SIGMOD | 5.6101375e-05 |
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