Data Compression In Storage

Data Compression in Storage is a data optimization technique that reduces the physical size of digital information stored on disk systems by encoding it more efficiently, thereby distinguishing itself from other storage management methods through its focus on minimizing storage space and enhancing data transfer rates via algorithmic redundancy reduction.

246

Publications

11.4K

Citations

666

Authors

265

Institutions

Publications per year

2017–2026

65

Authors

666

  1. DD
    Darrell D. E. Long

    University of California, Santa Cruz, United States

    4 publications · 104 citations

    4

    h-index

  2. RB
    Randal Burns

    Johns Hopkins University, United States

    4 publications · 104 citations

    4

    h-index

  3. AS
    Arie Shoshani

    Lawrence Berkeley National Laboratory, United States

    3 publications · 239 citations

    3

    h-index

  4. KW
    Kesheng Wu

    Lawrence Berkeley National Laboratory, United States

    3 publications · 215 citations

    3

    h-index

  5. DE
    Daniel E. Lucani

    Aalborg University, Denmark

    3 publications · 52 citations

    3

    h-index

1–5 of 666

Venues

  1. Communications of the ACM

    6 publications · 270 citations

    6

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 6 publications · 187 citations

    6

    h-index

  3. IEEE Transactions on Consumer Electronics

    5 publications · 202 citations

    5

    h-index

  4. Bioinformatics

    3 publications · 246 citations

    4

    h-index

  5. File and Storage Technologies

    Conference · 4 publications · 137 citations

    4

    h-index

1–5