Caching Strategies
Caching Strategies is a performance optimization technique in cloud computing that involves the systematic placement, management, and retrieval of cached data to reduce access latency and resource consumption by exploiting temporal and spatial locality of data requests.
6K
Publications
329.5K
Citations
11.8K
Authors
2K
Institutions
Publications per year
2017–2026
2K
6K
XGBoost: A Scalable Tree Boosting System
arXiv (Cornell University) · 2016 · 7.1K citations · Full text
William J. Evans, John E. Morley, Josep M. Argilés et al. · Clinical Nutrition · 2008 · 2.4K citations
Lixia Zhang, Alexander Afanasyev, Jeffrey A Burke et al. · ACM SIGCOMM Computer Communication Review · 2014 · 2.2K citations · Full text
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Singapore University of Technology and Design, Singapore
24 publications · 1.5K citations
22
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1–5 of 11.8K
2K
Carnegie Mellon University
Pittsburgh, United States
55 h-index
259 publications
19.4K citations
Intel (United States)
Santa Clara, United States
49 h-index
226 publications
21.4K citations

Beijing University of Posts and Telecommunications
Beijing, China
47 h-index
596 publications
23.6K citations
University of California, Berkeley
Berkeley, United States
46 h-index
163 publications
24.6K citations
University of Wisconsin–Madison
Madison, United States
45 h-index
190 publications
26K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
42 h-index
163 publications
11.8K citations
Stanford University
Stanford, United States
42 h-index
168 publications
20.6K citations
University of Southern California
Los Angeles, United States
41 h-index
206 publications
20.9K citations
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118 publications · 8.8K citations
53
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103 publications · 6.2K citations
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70 publications · 6.5K citations
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91 publications · 4.6K citations
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80 publications · 4K citations
39
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