Application Placement Optimization

Application Placement Optimization is a computational decision-making framework that determines the optimal allocation of software applications across distributed computing resources to minimize operational costs while meeting performance and quality-of-service constraints.

39

Publications

2.6K

Citations

115

Authors

59

Institutions

Publications per year

2017–2026

25

Authors

115

  1. MT
    Maolin Tang

    Queensland University of Technology, Australia

    3 publications · 75 citations

    3

    h-index

  2. YT
    Yu‐Chu Tian

    Queensland University of Technology, Australia

    3 publications · 75 citations

    3

    h-index

  3. EK
    Erhan Kozan

    Queensland University of Technology, Australia

    3 publications · 75 citations

    3

    h-index

  4. ZÁ
    Zoltán Ádám Mann

    University of Duisburg-Essen, Germany

    3 publications · 119 citations

    3

    h-index

  5. DG
    Daniel Grosu

    Wayne State University, United States

    3 publications · 151 citations

    3

    h-index

1–5 of 115

Venues

  1. Journal of Network and Computer Applications

    JNCA · 2 publications · 242 citations

    2

    h-index

  2. The Journal of Supercomputing

    2 publications · 63 citations

    2

    h-index

  3. IEEE Access

    2 publications · 232 citations

    2

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 66 citations

    2

    h-index

  5. Journal of Parallel and Distributed Computing

    3 publications · 172 citations

    2

    h-index

1–5