Stochastic Volterra integral equations with ranks as scaling limits of parallel infinite-server queues under weighted shortest queue policy
Abstract We study a queueing system with a fixed number of parallel service stations of infinite servers, each having a dedicated arrival process, and one flexible arrival stream that is routed to one of the service stations according to a ‘weighted’ shortest queue policy. We consider the model with general arrival processes and general service time distributions. Assuming that the dedicated arrival rates are of order n and the flexible arrival rate is of order $\sqrt{n}$ , we show that the diffusion-scaled queueing processes converge to a stochastic Volterra integral equation with ‘ranks’ driven by a continuous Gaussian process. It reduces to the limiting diffusion with a discontinuous drift in the Markovian setting.
Authors
- Tomoyuki Ichiba (ORCID: https://orcid.org/0000-0003-2787-7569)
- Guodong Pang (ORCID: https://orcid.org/0000-0001-6468-0429)
Institutions
- University of California, Santa Barbara (US)
- University of California System (US)
- Rice University (US)
Publication Details
- Journal
- Journal of Applied Probability
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1017/jpr.2025.10046
- Primary Topic
- Advanced Queuing Theory Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00