Distributed Redundancy

Distributed Redundancy is a redundancy technique that belongs to the class of data redundancy methods, distinguished by its deliberate replication of data or computational components across multiple spatially or logically separated nodes or systems to enhance fault tolerance, availability, and system reliability.

16

Publications

459

Citations

42

Authors

17

Institutions

Publications per year

2017–2026

3

Authors

42

  1. ZC
    Zachary Charles

    University of Wisconsin–Madison, United States

    2 publications · 37 citations

    2

    h-index

  2. DP
    Dimitris Papailiopoulos

    University of Wisconsin–Madison, United States

    2 publications · 37 citations

    2

    h-index

  3. AT
    A. Taleb-Bendiab

    Liverpool John Moores University, United Kingdom

    1 publications · 63 citations

    1

    h-index

  4. JL
    J.Y.B. Lee

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 14 citations

    1

    h-index

  5. YL
    Yusuf Leblebici

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 11 citations

    1

    h-index

1–5 of 42

Venues

  1. Proceedings of the IEEE

    2 publications · 66 citations

    2

    h-index

  2. Microelectronics Reliability

    1 publications · 33 citations

    1

    h-index

  3. Developmental Biology

    1 publications · 34 citations

    1

    h-index

  4. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 86 citations

    1

    h-index

  5. 1

    h-index

1–5