File-level Deduplication

File-Level Deduplication is a data deduplication technique that eliminates redundant data by identifying and storing only one unique instance of entire files, distinguishing itself from block-level or byte-level methods by operating at the complete file granularity.

33

Publications

1.8K

Citations

107

Authors

45

Institutions

Publications per year

2017–2026

16

Authors

107

  1. DF
    Dan Feng

    Huazhong University of Science and Technology, China

    7 publications · 782 citations

    7

    h-index

  2. HJ
    Hong Jiang

    University of Nebraska–Lincoln, United States

    7 publications · 809 citations

    7

    h-index

  3. YH
    Yu Hua

    Huazhong University of Science and Technology, China

    4 publications · 569 citations

    4

    h-index

  4. PS
    Philip Shilane

    Princeton University, United States

    4 publications · 425 citations

    4

    h-index

  5. VT
    Vasily Tarasov

    IBM Research - Almaden, United States

    4 publications · 193 citations

    4

    h-index

1–5 of 107

Venues

  1. IEEE Transactions on Computers

    2 publications · 80 citations

    2

    h-index

  2. Proceedings of the IEEE

    1 publications · 308 citations

    1

    h-index

  3. 1

    h-index

  4. RECERCAT (Consorci de Serveis Universitaris de Catalunya)

    Repository · 1 publications · 89 citations

    1

    h-index

  5. 1

    h-index

1–5