Self-stabilizing Data Structures

Self-Stabilizing Data Structures is a class of distributed data structures designed to autonomously recover from arbitrary transient faults and eventually converge to a legitimate state without external intervention, ensuring correctness in the presence of disruptions.

5

Publications

99

Citations

13

Authors

9

Institutions

Publications per year

2017–2026

0

Authors

13

  1. TM
    Toshimitsu Masuzawa

    The University of Osaka, Japan

    1 publications · 15 citations

    1

    h-index

  2. MV
    Mirko Viroli

    University of Bologna, Italy

    1 publications · 23 citations

    1

    h-index

  3. CJ
    Colette Johnen

    Laboratoire de Recherche en Informatique, France

    1 publications · 27 citations

    1

    h-index

  4. FD
    Ferruccio Damiani

    University of Turin, Italy

    1 publications · 23 citations

    1

    h-index

  5. TC
    Tetz C. Huang

    Yuan Ze University, Taiwan

    1 publications · 21 citations

    1

    h-index

1–5 of 13

Venues

  1. Logical Methods in Computer Science

    LMCS · 1 publications · 23 citations

    1

    h-index

  2. Computers & Mathematics with Applications

    1 publications · 21 citations

    1

    h-index

1–2