Renewal Input Models

Renewal Input Models is a stochastic arrival model in finite capacity queueing theory where the interarrival times are independent and identically distributed, thereby generalizing Poisson inputs by relaxing the memoryless property while preserving the renewal structure of arrival epochs.

17

Publications

1K

Citations

24

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

24

  1. DM
    David M. Lucantoni

    AT&T (United States), United States

    3 publications · 690 citations

    3

    h-index

  2. UG
    Umesh Gupta

    Indian Institute of Technology Kharagpur, India

    3 publications · 46 citations

    3

    h-index

  3. KM
    K.S. Meier-Hellstern

    AT&T (United States), United States

    2 publications · 597 citations

    2

    h-index

  4. MF
    Marcel F. Neuts

    University of Arizona, United States

    2 publications · 597 citations

    2

    h-index

  5. FP
    F. P. Barbhuiya

    Indian Institute of Technology Kharagpur, India

    2 publications · 33 citations

    2

    h-index

1–5 of 24

Venues

  1. Bell System Technical Journal

    BSTJ · 4 publications · 118 citations

    4

    h-index

  2. Advances in Applied Probability

    AAP · 4 publications · 680 citations

    4

    h-index

  3. The Annals of Applied Probability

    1 publications · 10 citations

    1

    h-index

  4. International Journal of Operational Research

    IJOR · 1 publications · 13 citations

    1

    h-index

  5. Journal of Industrial and Management Optimization

    JIMO · 1 publications · 11 citations

    1

    h-index

1–5