Approximate Caching
Approximate Caching is a caching technique that belongs to the class of approximate computing methods, distinguished by its deliberate relaxation of data accuracy in cached responses to improve system performance, reduce latency, or lower resource consumption while maintaining acceptable levels of correctness for a given application context.
14
Publications
1.3K
Citations
35
Authors
13
Institutions
Publications per year
2017–2026
3
Parents
14
Approximate Computing: A Survey
Qiang Xu, Todd Mytkowicz, Nam Sung Kim · IEEE Design and Test · 2015 · 544 citations
Approximate Models for General Cache Networks
Elisha Rosensweig, Jim Kurose, Don Towsley · 2010 · 209 citations
Adaptive precision setting for cached approximate values
Chris Olston, Boon Thau Loo, Jennifer Widom · 2001 · 191 citations · Full text
1–5 of 14
35
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 35
13
Stanford University
Stanford, United States
2 h-index
6 publications
699 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
5 publications
655 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
544 citations
Bentley University
Waltham, United States
1 h-index
1 publications
14 citations

Sapienza University of Rome
Rome, Italy
1 h-index
1 publications
26 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
544 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
3 publications
81 citations
NEC (Japan)
Tokyo, Japan
1 h-index
1 publications
27 citations
1–8 of 13
1 publications · 47 citations
1
h-index
1 publications · 544 citations
1
h-index
Conference · 1 publications · 39 citations
1
h-index
1 publications · 56 citations
1
h-index
Repository · 1 publications · 10 citations
1
h-index
1–5