Data Compression For Transfers

Data Compression for Transfers is a data optimization technique that reduces the volume of data transmitted across systems or networks by encoding information more efficiently, specifically to minimize bandwidth usage and accelerate transfer speeds in distributed computing environments.

13

Publications

292

Citations

32

Authors

15

Institutions

Publications per year

2017–2026

4

Authors

32

  1. CK
    Chandra Krintz

    University of California, Santa Barbara, United States

    2 publications · 70 citations

    2

    h-index

  2. YL
    Yong Lee Kee

    Multimedia University, Malaysia

    1 publications · 17 citations

    1

    h-index

  3. MA
    Mohammad Abrar Shakil Sejan

    Sejong University, South Korea

    1 publications · 13 citations

    1

    h-index

  4. EJ
    Emmanuel Jeannot

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 11 citations

    1

    h-index

  5. KF
    Kurt Fienberg

    University of Minnesota, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 32

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 71 citations

    1

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 58 citations

    1

    h-index

  3. 1

    h-index

  4. Open MIND

    Repository · 1 publications · 14 citations

    1

    h-index

  5. Optics Express

    1 publications · 13 citations

    1

    h-index

1–5