Snapshot Performance Optimization

Snapshot Performance Optimization is a methodological framework within snapshot management that systematically enhances the efficiency and responsiveness of snapshot creation, storage, retrieval, and deletion processes through targeted resource allocation, data indexing strategies, and access pattern prediction.

10

Publications

385

Citations

39

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

39

  1. GM
    Geoffrey M. Voelker

    University of California San Diego, United States

    1 publications · 53 citations

    1

    h-index

  2. CW
    Chunqing Wu

    National University of Defense Technology, China

    1 publications · 31 citations

    1

    h-index

  3. SS
    Sundararaman Swaminathan

    University of Wisconsin–Madison, United States

    1 publications · 23 citations

    1

    h-index

  4. GW
    Gang Wu

    University of California, Santa Barbara, United States

    1 publications · 13 citations

    1

    h-index

  5. TR
    Torvald Riegel

    University of Neuchâtel, Switzerland

    1 publications · 99 citations

    1

    h-index

1–5 of 39

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 43 citations

    2

    h-index

  2. The VLDB Journal

    1 publications · 21 citations

    1

    h-index

  3. Information Systems

    1 publications · 72 citations

    1

    h-index

  4. Journal of Media Literacy Education

    JMLE · 1 publications · 25 citations

    1

    h-index

  5. IEICE Transactions on Communications

    1 publications · 10 citations

1–5