Cache Performance Modeling
Cache Performance Modeling is a predictive analytical framework that quantifies cache behavior by characterizing memory access patterns and their impact on hit rates, miss rates, and latency under varying workloads and cache configurations.
1K
Publications
62.2K
Citations
2.1K
Authors
551
Institutions
Publications per year
2017–2026
112
Variants
Cache Performance Modelling
1K
Web caching and Zipf-like distributions: evidence and implications
Lee Breslau, Pei Cao, Fan Li et al. · 1999 · 3.5K citations
Workload analysis of a large-scale key-value store
Berk Atikoglu, Yuehai Xu, Eitan Frachtenberg et al. · 2012 · 904 citations
1–5 of 1K
2.1K
16
h-index
14
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12
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10
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9
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1–5 of 2.1K
551
Carnegie Mellon University
Pittsburgh, United States
23 h-index
70 publications
6.8K citations
Intel (United States)
Santa Clara, United States
22 h-index
58 publications
3.8K citations
IBM (United States)
Armonk, United States
21 h-index
57 publications
3.1K citations
Stanford University
Stanford, United States
20 h-index
67 publications
5.7K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
19 h-index
53 publications
2.7K citations
University of Wisconsin–Madison
Madison, United States
18 h-index
33 publications
10K citations
University of Michigan
Ann Arbor, United States
18 h-index
48 publications
2.2K citations
Massachusetts Institute of Technology
Cambridge, United States
17 h-index
28 publications
2.6K citations
1–8 of 551
38 publications · 2.3K citations
25
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PER · 24 publications · 1.5K citations
20
h-index
27 publications · 1.3K citations
18
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TPDS · 16 publications · 900 citations
13
h-index
Repository · 12 publications · 515 citations
12
h-index
1–5