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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)

Paper ID
12241
Venue
VLDB
Year
2020
Pagerank
5.1650158e-05
Overall Rank
10,064 | 30.96%
DOI
10.14778/3397230.3397239

Incoming Non-self Citations Over Time

Authors

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)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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