Content-defined Chunking

Content-Defined Chunking is a data segmentation method that partitions a data stream into variable-sized blocks based on locally computed content fingerprints, ensuring that identical content segments align across different instances, thereby enabling efficient data deduplication and reducing storage redundancy in content-addressable storage systems.

21

Publications

1.2K

Citations

59

Authors

26

Institutions

Publications per year

2017–2026

11

Authors

59

  1. WX
    Wen Xia

    Huazhong University of Science and Technology, China

    5 publications · 324 citations

    5

    h-index

  2. YZ
    Yucheng Zhang

    Huazhong University of Science and Technology, China

    5 publications · 324 citations

    5

    h-index

  3. HJ
    Hong Jiang

    University of Nebraska–Lincoln, United States

    5 publications · 324 citations

    5

    h-index

  4. YZ
    Yukun Zhou

    Huazhong University of Science and Technology, China

    4 publications · 283 citations

    4

    h-index

  5. DF
    Dan Feng

    Huazhong University of Science and Technology, China

    4 publications · 283 citations

    4

    h-index

1–5 of 59

Venues

  1. Future Generation Computer Systems

    FGCS · 2 publications · 104 citations

    2

    h-index

  2. IEEE Access

    2 publications · 25 citations

    2

    h-index

  3. Symmetry

    1 publications · 16 citations

    1

    h-index

  4. IEEE Transactions on Computers

    1 publications · 64 citations

    1

    h-index

  5. File and Storage Technologies

    Conference · 1 publications · 123 citations

    1

    h-index

1–5