Application Performance Optimization

Application Performance Optimization is a methodological framework within application virtualization that enhances the efficiency, responsiveness, and resource utilization of virtualized applications by minimizing performance overhead and latency inherent in virtual execution environments.

589

Publications

28.7K

Citations

2K

Authors

499

Institutions

Publications per year

2017–2026

137

Authors

2K

  1. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    7 publications · 150 citations

    7

    h-index

  2. WF
    Wu-chun Feng

    Virginia Tech, United States

    6 publications · 218 citations

    6

    h-index

  3. ND
    Nikil Dutt

    University of California, Irvine, United States

    5 publications · 216 citations

    5

    h-index

  4. TK
    Tahsin Kurç

    The Ohio State University, United States

    5 publications · 128 citations

    5

    h-index

  5. JK
    Jeffrey K. Hollingsworth

    University of Maryland, College Park, United States

    5 publications · 336 citations

    5

    h-index

1–5 of 2K

Venues

  1. 8

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 7 publications · 199 citations

    7

    h-index

  3. 7

    h-index

  4. ACM SIGPLAN Notices

    5 publications · 111 citations

    5

    h-index

  5. ACM Transactions on Architecture and Code Optimization

    TACO · 5 publications · 232 citations

    5

    h-index

1–5