Adaptive Fault Management

Adaptive Fault Management is a fault management framework that dynamically adjusts its strategies and mechanisms in response to real-time changes in edge computing environments to maintain system reliability under varying failure conditions.

24

Publications

1K

Citations

61

Authors

25

Institutions

Publications per year

2017–2026

1

Authors

61

  1. MI
    Makoto Itoh

    University of Tsukuba, Japan

    2 publications · 487 citations

    2

    h-index

  2. ZL
    Zhiling Lan

    Illinois Institute of Technology, United States

    2 publications · 112 citations

    2

    h-index

  3. TI
    Toshiyuki Inagaki

    University of Tsukuba, Japan

    2 publications · 487 citations

    2

    h-index

  4. HE
    Hesham El‐Sayed

    United Arab Emirates University, United Arab Emirates

    2 publications · 47 citations

    2

    h-index

  5. ME
    Mohamed Eltoweissy

    Virginia Tech, United States

    2 publications · 47 citations

    2

    h-index

1–5 of 61

Venues

  1. Journal of Experimental Psychology Applied

    2 publications · 487 citations

    2

    h-index

  2. AIAA Guidance, Navigation, and Control Conference

    Conference · 1 publications · 19 citations

    1

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 1 publications · 14 citations

    1

    h-index

  4. Electric Power Systems Research

    1 publications · 35 citations

    1

    h-index

  5. The Computer Journal

    1 publications · 30 citations

    1

    h-index

1–5