Queue Network Models

Queue Network Models is a mathematical modeling framework that represents interconnected service systems as a network of queues, distinguished by its ability to analyze the flow, congestion, and performance of entities traversing multiple service nodes with specified routing probabilities and service disciplines.

244

Publications

11.4K

Citations

429

Authors

207

Institutions

Publications per year

2017–2026

17

Variants

Queueing Network Models

Authors

429

  1. HG
    Harry G. Perros

    North Carolina State University, United States

    6 publications · 142 citations

    6

    h-index

  2. ED
    Edmundo de Souza e Silva

    Universidade Federal do Rio de Janeiro, Brazil

    5 publications · 124 citations

    5

    h-index

  3. JZ
    John Zahorjan

    University of Washington, United States

    5 publications · 132 citations

    5

    h-index

  4. KM
    K. Mani Chandy

    The University of Texas at Austin, United States

    5 publications · 644 citations

    5

    h-index

  5. MW
    Murray Woodside

    Carleton University, Canada

    5 publications · 332 citations

    5

    h-index

1–5 of 429

Venues

  1. Performance Evaluation

    11 publications · 291 citations

    11

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 8 publications · 504 citations

    8

    h-index

  3. Queueing Systems

    7 publications · 578 citations

    7

    h-index

  4. Operations Research

    7 publications · 755 citations

    7

    h-index

  5. IEEE Transactions on Computers

    6 publications · 220 citations

    6

    h-index

1–5