Cache-aware Query Optimization
Cache-Aware Query Optimization is a query optimization methodology that incorporates knowledge of the underlying memory hierarchy and cache behavior into the query plan selection process to minimize data access latency and improve execution performance.
68
Publications
2.9K
Citations
218
Authors
103
Institutions
Publications per year
2017–2026
9
Parents
68
Vijayshankar Raman, Gopi K. Attaluri, Ronald Barber et al. · Proceedings of the VLDB Endowment · 2013 · 254 citations
Breaking the memory wall in MonetDB
Peter Boncz, Martin Kersten, Stefan Manegold · Communications of the ACM · 2008 · 249 citations · Full text
On caching search engine query results
Evangelos P. Markatos · Computer Communications · 2001 · 191 citations
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103
IBM (United States)
Armonk, United States
6 h-index
28 publications
5.3K citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
3 h-index
11 publications
1.2K citations
Guangdong University of Petrochemical Technology
Maoming, China
3 h-index
4 publications
71 citations

China University of Geosciences (Beijing)
Beijing, China
3 h-index
7 publications
124 citations
Institut Polytechnique de Paris
Palaiseau, France
3 h-index
3 publications
53 citations
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
104 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
341 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
3 publications
125 citations
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PVLDB · 4 publications · 375 citations
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TODS · 2 publications · 106 citations
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2 publications · 41 citations
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TKDE · 2 publications · 61 citations
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TON · 1 publications · 55 citations
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