Distributed Model Execution

Distributed Model Execution is a model execution paradigm in which computational tasks associated with a model are partitioned and processed across multiple interconnected computing nodes, distinguished by its orchestration of concurrent, geographically or logically separated resources to enhance scalability, fault tolerance, and efficiency in executing complex models.

103

Publications

4.8K

Citations

322

Authors

129

Institutions

Publications per year

2017–2026

20

Authors

322

  1. SJ
    Simon J. E. Taylor

    Brunel University of London, United Kingdom

    4 publications · 99 citations

    4

    h-index

  2. VS
    Vittorio Scarano

    University of Salerno, Italy

    3 publications · 98 citations

    3

    h-index

  3. AG
    Andrea Giglio

    University of Rome Tor Vergata, Italy

    3 publications · 49 citations

    3

    h-index

  4. PB
    Paolo Bocciarelli

    University of Rome Tor Vergata, Italy

    3 publications · 49 citations

    3

    h-index

  5. GD
    Gabriele D’Angelo

    University of Bologna, Italy

    3 publications · 80 citations

    3

    h-index

1–5 of 322

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 1.1K citations

    4

    h-index

  2. Decision Support Systems

    3 publications · 64 citations

    3

    h-index

  3. SIMULATION

    3 publications · 91 citations

    3

    h-index

  4. IEEE Transactions on Software Engineering

    TSE · 3 publications · 228 citations

    3

    h-index

  5. Winter Simulation Conference

    Conference · 2 publications · 59 citations

    2

    h-index

1–5