4 citations · 6 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
math.PR2024
Computing the steady-state probabilities of a tandem queueing system, a Machine Learning approach
Eliran Sherzer
Tandem queueing networks are widely used to model systems where services are provided in sequential stages. In this study, we assume that each station in the tandem system operates…
cs.LG2024
Approximating G(t)/GI/1 queues with deep learning
Eliran Sherzer, Opher Baron, Dmitry Krass +1
In this paper, we apply a supervised machine-learning approach to solve a fundamental problem in queueing theory: estimating the transient distribution of the number in the system…