Snapshot Compression

Snapshot Compression is a data optimization technique within snapshot management that reduces storage overhead by encoding snapshot data through selective differencing and compact representation, distinguishing itself from other snapshot methods through its focus on minimizing redundancy while preserving temporal consistency.

10

Publications

962

Citations

33

Authors

22

Institutions

Publications per year

2017–2026

8

Authors

33

  1. DT
    Dingwen Tao

    Argonne National Laboratory, United States

    2 publications · 70 citations

    2

    h-index

  2. SD
    Sheng Di

    Argonne National Laboratory, United States

    2 publications · 51 citations

    2

    h-index

  3. XY
    Xin Yuan

    Westlake University, China

    2 publications · 526 citations

    2

    h-index

  4. ZC
    Zizhong Chen

    University of California, Riverside, United States

    2 publications · 51 citations

    2

    h-index

  5. FC
    Franck Cappello

    Argonne National Laboratory, United States

    2 publications · 51 citations

    2

    h-index

1–5 of 33

Venues

  1. IEEE Signal Processing Magazine

    1 publications · 410 citations

    1

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Image Processing

    1 publications · 79 citations

    1

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 116 citations

    1

    h-index

  5. 1

    h-index

1–5