Multi-objective Placement

Multi-Objective Placement is a framework in edge computing that jointly optimizes multiple conflicting objectives—such as latency, resource utilization, and energy efficiency—when determining the optimal allocation of services across edge and cloud infrastructures.

216

Publications

9.8K

Citations

714

Authors

330

Institutions

Publications per year

2017–2026

140

Authors

714

  1. SK
    Saoussen Krichen

    Institut Supérieur de Gestion de Tunis, Tunisia

    3 publications · 39 citations

    3

    h-index

  2. VA
    Vahid Ahmadi

    Shiraz University of Technology, Iran

    3 publications · 117 citations

    3

    h-index

  3. BB
    Benjamı́n Barán

    Universidad Nacional de Asunción, Paraguay

    3 publications · 104 citations

    3

    h-index

  4. MM
    Mohammad Masdari

    Islamic Azad University of Urmia, Iran

    3 publications · 86 citations

    3

    h-index

  5. OA
    Ons Abdelkhalek

    Institut Supérieur de Gestion de Tunis, Tunisia

    3 publications · 39 citations

    3

    h-index

1–5 of 714

Venues

  1. IEEE Access

    9 publications · 428 citations

    9

    h-index

  2. The Journal of Supercomputing

    6 publications · 184 citations

    6

    h-index

  3. IEEE Internet of Things Journal

    5 publications · 382 citations

    5

    h-index

  4. Applied Soft Computing

    5 publications · 394 citations

    5

    h-index

  5. IEEE Transactions on Network and Service Management

    TNSM · 4 publications · 207 citations

    4

    h-index

1–5