Inline Deduplication

Inline Deduplication is a data deduplication technique that identifies and eliminates redundant data segments in real time as data is written to storage, before it is persistently stored, thereby ensuring that only unique data blocks are archived in a content-addressable storage system.

25

Publications

1.5K

Citations

104

Authors

45

Institutions

Publications per year

2017–2026

9

Authors

104

  1. FW
    Fenggang Wu

    University of Minnesota, United States

    2 publications · 37 citations

    2

    h-index

  2. AB
    André Brinkmann

    Johannes Gutenberg University Mainz, Germany

    2 publications · 110 citations

    2

    h-index

  3. AK
    Awais Khan

    Sogang University, South Korea

    2 publications · 27 citations

    2

    h-index

  4. KE
    Kave Eshghi

    Hewlett-Packard (United States), United States

    2 publications · 528 citations

    2

    h-index

  5. PH
    Prince Hamandawana

    Ajou University, South Korea

    2 publications · 27 citations

    2

    h-index

1–5 of 104

Venues

  1. File and Storage Technologies

    Conference · 4 publications · 239 citations

    4

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 23 citations

    2

    h-index

  3. 1

    h-index

  4. IEEE Access

    1 publications · 16 citations

    1

    h-index

  5. ACM Transactions on Storage

    TOS · 1 publications · 53 citations

    1

    h-index

1–5