Resilient Data Replication

Resilient Data Replication is a fault-tolerant data management strategy that systematically duplicates data across distributed nodes in parallel computing systems to ensure continuous availability and integrity despite node failures or network disruptions.

43

Publications

4.7K

Citations

121

Authors

56

Institutions

Publications per year

2017–2026

9

Authors

121

  1. SR
    S. Rangarajan

    Northeastern University, United States

    3 publications · 100 citations

    3

    h-index

  2. SK
    Satish K. Tripathi

    University of Maryland, College Park, United States

    3 publications · 100 citations

    3

    h-index

  3. YA
    Yair Amir

    Johns Hopkins University, United States

    2 publications · 214 citations

    2

    h-index

  4. GT
    Gene T. J. Wuu

    Core Competence, United States

    2 publications · 175 citations

    2

    h-index

  5. BY
    Ben Y. Zhao

    University of California, Santa Barbara, United States

    2 publications · 2.8K citations

    2

    h-index

1–5 of 121

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 80 citations

    3

    h-index

  2. ePrints@IISc (Indian Institute of Science)

    Repository · 1 publications · 36 citations

    1

    h-index

  3. IEEE Transactions on Dependable and Secure Computing

    TDSC · 1 publications · 189 citations

    1

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 1 publications · 39 citations

    1

    h-index

  5. International Wireless Internet Conference

    Conference · 1 publications · 20 citations

    1

    h-index

1–5