Checkpoint Interval Optimization

Checkpoint Interval Optimization is a methodological framework in fault-tolerant distributed computing that determines the optimal frequency of checkpointing operations to minimize performance overhead while ensuring efficient rollback recovery in the event of system failures.

97

Publications

4.6K

Citations

216

Authors

118

Institutions

Publications per year

2017–2026

15

Authors

216

  1. PA
    Philip A. Wilsey

    University of Cincinnati, United States

    7 publications · 334 citations

    7

    h-index

  2. WF
    W.K. Fuchs

    University of Illinois Urbana-Champaign, United States

    6 publications · 292 citations

    6

    h-index

  3. FC
    Franck Cappello

    Argonne National Laboratory, United States

    6 publications · 263 citations

    6

    h-index

  4. TD
    Tadashi Dohi

    Hiroshima University, Japan

    5 publications · 131 citations

    5

    h-index

  5. EG
    Erol Gelenbe

    Imperial College London, United Kingdom

    5 publications · 302 citations

    5

    h-index

1–5 of 216

Venues

  1. IEEE Transactions on Reliability

    4 publications · 199 citations

    4

    h-index

  2. Journal of Parallel and Distributed Computing

    4 publications · 163 citations

    4

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 3 publications · 212 citations

    3

    h-index

  4. ACM SIGSIM Simulation Digest

    3 publications · 45 citations

    3

    h-index

  5. Future Generation Computer Systems

    FGCS · 2 publications · 511 citations

    2

    h-index

1–5