Image Size Optimization
Image Size Optimization is a methodological approach within container image engineering that reduces the storage footprint and memory overhead of container images by eliminating redundant or non-essential components, thereby accelerating cold start performance through faster image retrieval and instantiation.
61
Publications
3.4K
Citations
199
Authors
72
Institutions
Publications per year
2017–2026
10
61
James M. Williams · History Reviews of New Books · 1991 · 130 citations
Arts, Design, Digital Imaging +3
1–5 of 61
199
National Institute of Information and Communications Technology, Japan
2 publications · 150 citations
2
h-index
National Institute of Information and Communications Technology, Japan
2 publications · 150 citations
2
h-index
National Institute of Information and Communications Technology, Japan
2 publications · 150 citations
2
h-index
1
h-index
National Institute of Information and Communications Technology, Japan
1 publications · 61 citations
1
h-index
1–5 of 199
72

Pennsylvania State University
State College, United States
3 h-index
6 publications
1.3K citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
47 citations

National Taiwan University
Taipei, Taiwan
2 h-index
10 publications
247 citations
University of Chicago
Chicago, United States
2 h-index
2 publications
77 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
3 publications
68 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
86 citations

National Institute of Information and Communications Technology
Tokyo, Japan
2 h-index
9 publications
661 citations

Imperial College London
London, United Kingdom
2 h-index
4 publications
100 citations
1–8 of 72
14 publications · 655 citations
13
h-index
4 publications · 238 citations
4
h-index
AO · 3 publications · 36 citations
3
h-index
BOE · 2 publications · 101 citations
2
h-index
2 publications · 70 citations
2
h-index
1–5