Backup Optimization

Backup Optimization is a methodological framework within data backup systems that enhances efficiency and effectiveness by minimizing resource consumption, reducing backup duration, and improving data recovery speed through intelligent data deduplication, compression, and scheduling strategies.

29

Publications

1.1K

Citations

96

Authors

56

Institutions

Publications per year

2017–2026

13

Authors

96

  1. MZ
    Mengying Zhao

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 67 citations

    4

    h-index

  2. CJ
    Chun Jason Xue

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 67 citations

    4

    h-index

  3. GL
    Gregory Levitin

    Israel Electric (Israel), Israel

    3 publications · 73 citations

    3

    h-index

  4. FH
    Fujun He

    Kyoto University, Japan

    3 publications · 90 citations

    3

    h-index

  5. EO
    Eiji Oki

    Kyoto University, Japan

    3 publications · 90 citations

    3

    h-index

1–5 of 96

Venues

  1. Reliability Engineering & System Safety

    2 publications · 40 citations

    2

    h-index

  2. 2

    h-index

  3. IEEE Transactions on Computers

    2 publications · 112 citations

    2

    h-index

  4. Journal of Optical Communications and Networking

    JOCN · 1 publications · 19 citations

    1

    h-index

  5. Discrete Dynamics in Nature and Society

    1 publications · 23 citations

    1

    h-index

1–5