Migration Performance Modeling

Migration Performance Modeling is a computational framework that characterizes and predicts the dynamic behavior of system resources during live and storage migration processes by quantifying performance metrics such as downtime, transfer time, and overhead in virtualized environments.

86

Publications

4.4K

Citations

263

Authors

138

Institutions

Publications per year

2017–2026

19

Authors

263

  1. AB
    Allen B. Downey

    University of California, Berkeley, United States

    5 publications · 654 citations

    5

    h-index

  2. MH
    Mor Harchol‐Balter

    Carnegie Mellon University, United States

    5 publications · 654 citations

    5

    h-index

  3. VD
    Vincenzo De Maio

    TU Wien, Austria

    2 publications · 64 citations

    2

    h-index

  4. HJ
    Hai Jin

    Huazhong University of Science and Technology, China

    2 publications · 512 citations

    2

    h-index

  5. XL
    Xiaofei Liao

    Huazhong University of Science and Technology, China

    2 publications · 512 citations

    2

    h-index

1–5 of 263

Venues

  1. Procedia Computer Science

    2 publications · 38 citations

    2

    h-index

  2. The Journal of Supercomputing

    2 publications · 56 citations

    2

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 68 citations

    2

    h-index

  4. IEEE Transactions on Computers

    2 publications · 58 citations

    2

    h-index

  5. 1

    h-index

1–5