Hot Data Management
Hot Data Management is a storage optimization technique that identifies and prioritizes frequently accessed data for accelerated access and reduced latency by leveraging data locality principles within storage engines.
47
Publications
1.8K
Citations
175
Authors
74
Institutions
Publications per year
2017–2026
17
47
Identifying hot and cold data in main-memory databases
Justin J. Levandoski, P-A Larson, Radu Stoica · 2013 · 134 citations · Full text
A scalable low-latency cache invalidation strategy for mobile environments
Guohong Cao · 2000 · 92 citations · Full text
ERMS: An Elastic Replication Management System for HDFS
Zhendong Cheng, Zhongzhi Luan, Meng You et al. · 2012 · 79 citations
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74

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
4 publications
103 citations

National Taiwan University
Taipei, Taiwan
3 h-index
6 publications
567 citations

Pennsylvania State University
State College, United States
3 h-index
6 publications
360 citations

University of Minnesota
Minneapolis, United States
3 h-index
15 publications
348 citations
Microsoft (United States)
Redmond, United States
2 h-index
3 publications
335 citations
University of Minnesota System
Minneapolis, United States
2 h-index
5 publications
142 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
3 publications
207 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
3 publications
230 citations
1–8 of 74
3 publications · 105 citations
3
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3 publications · 46 citations
3
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2 publications · 33 citations
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PVLDB · 2 publications · 137 citations
2
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2 publications · 36 citations
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1–5