Log-structured Storage
Log-Structured Storage is a data storage system that organizes all write operations sequentially into an append-only log-like structure, distinguishing itself from other storage systems by eliminating random in-place updates and optimizing write throughput and garbage collection for workloads dominated by sequential writes.
167
Publications
13.2K
Citations
523
Authors
156
Institutions
Publications per year
2017–2026
58
167
David G. Andersen, Jason Franklin, Michael Kaminsky et al. · 2009 · 566 citations
A flash-memory based file system
Atsuo Kawaguchi, Shingo Nishioka, Hiroshi MOTODA · 1995 · 423 citations
Fast crash recovery in RAMCloud
Diego Ongaro, Stephen M. Rumble, Ryan Stutsman et al. · 2011 · 364 citations
1–5 of 167
523
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h-index
École Polytechnique Fédérale de Lausanne, Switzerland
7 publications · 194 citations
7
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6
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6
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5
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1–5 of 523
156
University of California, Berkeley
Berkeley, United States
15 h-index
52 publications
8.2K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
28 publications
4.6K citations
Georgia Institute of Technology
Atlanta, United States
6 h-index
11 publications
229 citations
Google (United States)
Mountain View, United States
6 h-index
6 publications
264 citations
University of California, Irvine
Irvine, United States
6 h-index
16 publications
709 citations

Harvard University Press
Cambridge, United States
5 h-index
9 publications
1.1K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
10 publications
448 citations
IBM (United States)
Armonk, United States
4 h-index
7 publications
125 citations
1–8 of 156
PVLDB · 12 publications · 548 citations
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TOS · 8 publications · 206 citations
8
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5 publications · 241 citations
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TOCS · 4 publications · 1.7K citations
4
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Conference · 4 publications · 372 citations
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