DBScholar

Back to papers

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)

Paper ID
11701
Venue
VLDB
Year
2017
Pagerank
6.9802959e-05
Overall Rank
3,975 | 72.73%
DOI
10.14778/3151106.3151107

Incoming Non-self Citations Over Time

Authors

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers