Storage Engine Tuning
Storage Engine Tuning is a methodological framework within database performance optimization that specifically governs the configuration and adaptation of storage engine parameters to enhance data retrieval, storage efficiency, and transactional throughput under varying workload conditions.
6
Publications
97
Citations
19
Authors
9
Institutions
Publications per year
2017–2026
5
6
Ryan Johnson, Ippokratis Pandis, Anastasia Ailamaki · 2008 · 18 citations · Full text
Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi et al. · Proceedings of the VLDB Endowment · 2022 · 17 citations
Optimization of RocksDB for Redis on Flash
Keren Ouaknine, Oran Agra, Zvika Guz · 2017 · 15 citations
1–5 of 6
19
École Polytechnique Fédérale de Lausanne, Switzerland
2 publications · 34 citations
2
h-index
École Polytechnique Fédérale de Lausanne, Switzerland
2 publications · 33 citations
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 19
9
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
2 publications
34 citations

The University of Melbourne
Melbourne, Australia
1 h-index
1 publications
16 citations
Samsung (United States)
Ridgefield Park, United States
1 h-index
1 publications
15 citations
Harvey Mudd College
Claremont, United States
1 h-index
1 publications
15 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
16 citations
EURECOM
Valbonne, France
1 h-index
1 publications
16 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
54 citations
Stony Brook University
Stony Brook, United States
1 h-index
2 publications
30 citations
1–8 of 9
Conference · 1 publications · 15 citations
1
h-index
PVLDB · 1 publications · 17 citations
1
h-index
1 publications · 16 citations
1
h-index
Conference · 1 publications · 16 citations
1
h-index
1–4