Fog Data Placement

Fog Data Placement is a computational strategy that determines the optimal distribution and storage of data across fog nodes in a fog computing infrastructure, distinguishing itself from related resource management techniques by specifically addressing data location decisions to minimize latency, bandwidth usage, and energy consumption while meeting quality-of-service requirements in proximity-aware edge environments.

18

Publications

821

Citations

69

Authors

37

Institutions

Publications per year

2017–2026

18

Authors

69

  1. MN
    Mohammed Naas

    Université de Bretagne Occidentale, France

    3 publications · 226 citations

    3

    h-index

  2. LL
    Laurent Lemarchand

    Université de Bretagne Occidentale, France

    3 publications · 226 citations

    3

    h-index

  3. JB
    Jalil Boukhobza

    Université de Bretagne Occidentale, France

    3 publications · 226 citations

    3

    h-index

  4. BW
    Baowei Wang

    Nanjing University of Information Science and Technology, China

    2 publications · 165 citations

    2

    h-index

  5. TW
    Tian Wang

    Huaqiao University, China

    2 publications · 165 citations

    2

    h-index

1–5 of 69

Venues

  1. Cluster Computing

    2 publications · 42 citations

    2

    h-index

  2. IEEE Access

    2 publications · 135 citations

    2

    h-index

  3. 2

    h-index

  4. Swinburne Research Bank (Swinburne University of Technology)

    Repository · 1 publications · 13 citations

    1

    h-index

  5. Annals of Telecommunications

    1 publications · 23 citations

    1

    h-index

1–5