Rose: Compressed, log-structured replication
Summary: Rose uses LSM-trees to build full replicas with sequential I/O, enabling high write throughput for write-heavy workloads. Compression uses LSM order to cut I/O, enables small pages, and provides atomic replication with high bandwidth. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Russell Sears (University of California Berkeley)
- 2. Mark Callaghan (Google)
- 3. Eric Brewer (University of California Berkeley)
BibTeX Citation
@article{sears_vldb08,
title = {{Rose: Compressed, log-structured replication}},
author = {Sears, Russell and Callaghan, Mark and Brewer, Eric},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {526--537},
doi = {10.14778/1453856.1453917},
url = {https://doi.org/10.14778/1453856.1453917},
year = {2008}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 48 | Weaving Relations for Cache Performance | 2001 | VLDB | 0.00043805923 |
| 61 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.000392237 |
| 815 | Design, Implementation, and Performance of the LHAM Log-Structured History Data Access Method | 1998 | VLDB | 0.00013689839 |
| 1,539 | Sorting And Indexing With Partitioned B-Trees | 2003 | CIDR | 0.00010316015 |
| 1,770 | How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations | 2006 | VLDB | 9.686541e-05 |
| 1,984 | How to Barter Bits for Chronons: Compression and Bandwidth Trade Offs for Database Scans | 2007 | SIGMOD | 9.2557255e-05 |
| 7,958 | Online B-Tree Merging | 2005 | SIGMOD | 5.4182694e-05 |
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