Performance Optimization During Migration

Performance Optimization During Migration is a methodological framework designed to enhance system efficiency and minimize service disruption by systematically adjusting computational, network, and resource allocation parameters during the process of transitioning applications or services from one platform to another.

89

Publications

3.1K

Citations

275

Authors

147

Institutions

Publications per year

2017–2026

19

Authors

275

  1. YL
    Yong Li

    Tsinghua University, China

    3 publications · 125 citations

    3

    h-index

  2. DJ
    Depeng Jin

    Tsinghua University, China

    3 publications · 125 citations

    3

    h-index

  3. DL
    Derek L. Eager

    University of Saskatchewan, Canada

    2 publications · 221 citations

    2

    h-index

  4. JZ
    John Zahorjan

    University of Washington, United States

    2 publications · 221 citations

    2

    h-index

  5. HW
    Huandong Wang

    Tsinghua University, China

    2 publications · 114 citations

    2

    h-index

1–5 of 275

Venues

  1. The Journal of Supercomputing

    4 publications · 84 citations

    4

    h-index

  2. IEEE Transactions on Cloud Computing

    3 publications · 119 citations

    3

    h-index

  3. Computer Networks

    2 publications · 56 citations

    2

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 116 citations

    2

    h-index

  5. Future Generation Computer Systems

    FGCS · 2 publications · 57 citations

    2

    h-index

1–5