Replication Overhead

Replication Overhead is a performance metric that quantifies the additional computational, storage, and communication resources consumed due to the duplication and synchronization of data across distributed systems in comparison to non-replicated execution.

106

Publications

3K

Citations

275

Authors

144

Institutions

Publications per year

2017–2026

12

Authors

275

  1. SR
    S. Rangarajan

    Northeastern University, United States

    4 publications · 114 citations

    4

    h-index

  2. SK
    Satish K. Tripathi

    University of Maryland, College Park, United States

    4 publications · 114 citations

    4

    h-index

  3. HS
    Haiying Shen

    Clemson University, United States

    3 publications · 51 citations

    3

    h-index

  4. YR
    Yves Robert

    École Normale Supérieure de Lyon, France

    3 publications · 58 citations

    3

    h-index

  5. JA
    Jemal Abawajy

    Deakin University, Australia

    3 publications · 103 citations

    3

    h-index

1–5 of 275

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 97 citations

    4

    h-index

  2. Future Generation Computer Systems

    FGCS · 3 publications · 120 citations

    3

    h-index

  3. ACM SIGOPS Operating Systems Review

    2 publications · 26 citations

    2

    h-index

  4. IEEE Transactions on Computers

    2 publications · 82 citations

    2

    h-index

  5. Performance Evaluation

    2 publications · 56 citations

    2

    h-index

1–5