Crash Failure Models

Crash Failure Models is a theoretical framework in distributed computing that specifies the conditions and behaviors under which processes may cease functioning abruptly without prior notice, distinguishing it from other fault models by assuming that failed processes do not resume operation or send incorrect messages.

43

Publications

1.6K

Citations

105

Authors

57

Institutions

Publications per year

2017–2026

4

Authors

105

  1. DL
    Dominique Lord

    Texas A&M University, United States

    5 publications · 318 citations

    5

    h-index

  2. MR
    Michel Raynal

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    4 publications · 150 citations

    4

    h-index

  3. DA
    David A. Patterson

    University of California, Berkeley, United States

    2 publications · 164 citations

    2

    h-index

  4. KM
    Keith Marzullo

    University of California San Diego, United States

    2 publications · 33 citations

    2

    h-index

  5. PR
    Philippe Raïpin Parvédy

    Université de Bretagne Occidentale, France

    2 publications · 51 citations

    2

    h-index

1–5 of 105

Venues

  1. Accident Analysis & Prevention

    5 publications · 309 citations

    5

    h-index

  2. 1

    h-index

  3. International Review of Financial Analysis

    IRFA · 1 publications · 47 citations

    1

    h-index

  4. Structural Safety

    1 publications · 24 citations

    1

    h-index

  5. Reliability Engineering & System Safety

    1 publications · 20 citations

    1

    h-index

1–5