Backup Performance Optimization

Backup Performance Optimization is a methodological framework within data management research that systematically enhances the efficiency, speed, and reliability of data backup operations in cloud and networked environments by minimizing resource consumption, latency, and data transfer overhead while ensuring data integrity and recovery guarantees.

22

Publications

902

Citations

77

Authors

39

Institutions

Publications per year

2017–2026

7

Authors

77

  1. CD
    Christopher D. Murray

    University of Michigan, United States

    2 publications · 430 citations

    2

    h-index

  2. BN
    Brian Noble

    University of Michigan, United States

    2 publications · 430 citations

    2

    h-index

  3. CQ
    Cunhua Qian

    Aichi Institute of Technology, Japan

    2 publications · 34 citations

    2

    h-index

  4. LP
    Landon P. Cox

    Duke University, United States

    2 publications · 430 citations

    2

    h-index

  5. TN
    Toshio Nakagawa

    Aichi Institute of Technology, Japan

    2 publications · 34 citations

    2

    h-index

1–5 of 77

Venues

  1. Mathematical and Computer Modelling

    1 publications · 19 citations

    1

    h-index

  2. IEEE Transactions on Computers

    1 publications · 19 citations

    1

    h-index

  3. 1

    h-index

  4. International Journal of Parallel Programming

    1 publications · 12 citations

    1

    h-index

  5. Future Generation Computer Systems

    FGCS · 1 publications · 17 citations

    1

    h-index

1–5