Heavy Traffic Diffusion Limit for a Closed Queueing Network with Single-Server and Infinite-Server Stations
Amir A. Alwan, Barış Ata
TL;DR
The paper derives a diffusion approximation for a closed queueing network with $J$ single-server and $K$ infinite-server stations in heavy traffic, using a continuous-mapping approach to establish a multidimensional reflected diffusion as the limit of diffusion-scaled queue lengths and idle times. The analysis scales the single-server rates with $n$ while keeping infinite-server rates fixed, and imposes a two-level routing structure, enabling a Skorokhod-problem description and a nonlinear regulator mapping for the limit. The model captures origin-destination dynamics and heterogeneous travel times, providing a tractable framework for diffusion-scale control in ride-hailing-like systems and beyond. This work generalizes prior diffusion limits by allowing multiple infinite-server nodes and two-level routing, laying theoretical groundwork for high-dimensional stochastic-control methods in closed networks.
Abstract
This paper studies the limiting behavior of a closed queueing network with multiple single-server and infinite-server stations. Under a heavy traffic asymptotic regime$\unicode{x2014}$where the number of jobs and single-server service rates grow large while infinite-server rates remain fixed$\unicode{x2014}$we prove a weak convergence result for the queue length and idleness process vector, providing an approximation for the original system.
