Checkpoint Recovery

Checkpoint Recovery is a fault-tolerance mechanism in distributed computing systems that belongs to the class of recovery methods based on system state preservation, specifically distinguished by its use of periodically saved execution states (checkpoints) to restore the system to a consistent prior state following a failure, thereby minimizing data loss and reprocessing effort.

61

Publications

3.8K

Citations

220

Authors

112

Institutions

Publications per year

2017–2026

5

Authors

220

  1. RH
    René H. Medema

    The Netherlands Cancer Institute, Netherlands

    4 publications · 1K citations

    4

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  2. JT
    Joseph Tucek

    University of Illinois Urbana-Champaign, United States

    3 publications · 621 citations

    3

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  3. JS
    Jagadeesan Sundaresan

    University of Illinois Urbana-Champaign, United States

    3 publications · 621 citations

    3

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  4. FQ
    Feng Qin

    China Agricultural University, China

    3 publications · 621 citations

    3

    h-index

  5. YZ
    Yuanyuan Zhou

    University of Illinois Urbana-Champaign, United States

    3 publications · 621 citations

    3

    h-index

1–5 of 220

Venues

  1. Journal of Parallel and Distributed Computing

    2 publications · 31 citations

    2

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  2. Nature Communications

    2 publications · 85 citations

    2

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  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 95 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 29 citations

    2

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  5. Current Biology

    1 publications · 220 citations

    1

    h-index

1–5