BRRL: A Recovery Library for Main-Memory Applications in the Cloud
Summary: BRRL is a fault-tolerance library for distributed in-memory cloud apps at frequent consistency points. It uses a simple table abstraction and schema-aware checkpointing to cut overhead via data-parallelism, avoiding complex concurrency control; demonstrated on a distributed TP system and scientific simulations. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Tuan Cao
- 2. Benjamin Sowell
- 3. Marcos Vaz Salles
- 4. Alan Demers
- 5. Johannes Gehrke
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 88 | The End of an Architectural Era (It's Time for a Complete Rewrite) | 2007 | VLDB | 0.0005262025 |
| 1,434 | Fast Checkpoint Recovery Algorithms for Frequently Consistent Applications | 2011 | SIGMOD | 0.00011988283 |
| 3,633 | Behavioral Simulations in MapReduce | 2010 | VLDB | 6.8959345e-05 |
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