Data Loss Tolerance

Data Loss Tolerance is a recovery metric that specifies the maximum acceptable amount of data loss measured in time, distinguishing it from other recovery objectives by quantifying the age of the most recent recoverable data following a disruption.

106

Publications

3.8K

Citations

328

Authors

137

Institutions

Publications per year

2017–2026

21

Variants

Recovery Point Objective

Authors

328

  1. DD
    Darrell D. E. Long

    University of California, Santa Cruz, United States

    4 publications · 50 citations

    4

    h-index

  2. RH
    Remzi H. Arpaci-Dusseau

    University of Wisconsin–Madison, United States

    4 publications · 66 citations

    4

    h-index

  3. WS
    Wen‐Zhan Song

    University of Georgia, United States

    4 publications · 76 citations

    4

    h-index

  4. JP
    J.-F. Paris

    University of Houston, United States

    4 publications · 48 citations

    4

    h-index

  5. GK
    Goutham Kamath

    Georgia State University, United States

    3 publications · 64 citations

    3

    h-index

1–5 of 328

Venues

  1. IEEE Transactions on Wireless Communications

    2 publications · 76 citations

    2

    h-index

  2. ACM SIGMETRICS Performance Evaluation Review

    PER · 2 publications · 79 citations

    2

    h-index

  3. IEEE Transactions on Broadcasting

    2 publications · 46 citations

    2

    h-index

  4. IEEE Transactions on Computers

    2 publications · 94 citations

    2

    h-index

  5. IPNPR

    1 publications · 15 citations

    1

    h-index

1–5