Distributed Storage Reliability

Distributed Storage Reliability is a metric that quantifies the probability of data availability and integrity in a distributed storage system under node failures, network partitions, and erasure coding constraints, distinguishing it from general reliability metrics by specifically accounting for spatial distribution, redundancy mechanisms, and failure correlation across autonomous storage nodes.

113

Publications

9.2K

Citations

217

Authors

105

Institutions

Publications per year

2017–2026

23

Authors

217

  1. KR
    Kannan Ramchandran

    University of California, Berkeley, United States

    10 publications · 3.4K citations

    10

    h-index

  2. KW
    Kenneth W. Shum

    Chinese University of Hong Kong, Hong Kong SAR China

    8 publications · 312 citations

    8

    h-index

  3. AG
    Alexandros G. Dimakis

    The University of Texas at Austin, United States

    7 publications · 3.3K citations

    7

    h-index

  4. KV
    K. V. Rashmi

    Carnegie Mellon University, United States

    7 publications · 363 citations

    7

    h-index

  5. NB
    Nihar B. Shah

    University of California, Berkeley, United States

    6 publications · 309 citations

    6

    h-index

1–5 of 217

Venues

  1. IEEE Transactions on Information Theory

    13 publications · 2.9K citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 236 citations

    8

    h-index

  3. IEEE Communications Letters

    4 publications · 92 citations

    4

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 69 citations

    3

    h-index

  5. 2

    h-index

1–5