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

Authors

199

  1. YI
    Yasuyuki Ichihashi

    National Institute of Information and Communications Technology, Japan

    2 publications · 150 citations

    2

    h-index

  2. TS
    Takanori Senoh

    National Institute of Information and Communications Technology, Japan

    2 publications · 150 citations

    2

    h-index

  3. KY
    Kenji Yamamoto

    National Institute of Information and Communications Technology, Japan

    2 publications · 150 citations

    2

    h-index

  4. GP
    G. Pierattini

    Istituto di Cibernetica “Eduardo Caianiello”, Italy

    1 publications · 222 citations

    1

    h-index

  5. RO
    Ryutaro Oi

    National Institute of Information and Communications Technology, Japan

    1 publications · 61 citations

    1

    h-index

1–5 of 199

Venues

  1. Communications in Algebra

    14 publications · 655 citations

    13

    h-index

  2. Optics Express

    4 publications · 238 citations

    4

    h-index

  3. Applied Optics

    AO · 3 publications · 36 citations

    3

    h-index

  4. Biomedical Optics Express

    BOE · 2 publications · 101 citations

    2

    h-index

  5. 2

    h-index

1–5