A Drop-in Middleware for Serializable DB Clustering across Geo-distributed Sites
Summary: Drop-in Metric enables serializable cross-site clustering for existing DBs. It uses an entry-consistent geo redo log to guarantee cross-site correctness, delivering latency and throughput gains over MariaDB/PostgreSQL clustering and CockroachDB/TiDB in production. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 46 | PNUTS: Yahoo!'s Hosted Data Serving Platform | 2008 | VLDB | 0.0004507937 |
| 223 | OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases | 2014 | VLDB | 0.000243333 |
| 391 | Impossibility of Distributed Consensus with One Faulty Process | 1983 | PODS | 0.00019465133 |
| 1,498 | Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes | 2018 | SIGMOD | 0.00010657884 |
| 1,747 | SLOG: Serializable, Low-latency, Geo-replicated Transactions | 2019 | VLDB | 9.9262521e-05 |
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