Speed of convergence to the quasi-stationary distribution for L\'evy input fluid queues
Z. Palmowski, M. Vlasiou

TL;DR
This paper proves that the workload in a Lévy-driven queue converges to its quasi-stationary distribution at a rate proportional to 1/t, providing explicit Laplace transforms and examples.
Contribution
It establishes the convergence rate to the quasi-stationary distribution for Lévy input queues and derives the Laplace transform of the convergence measure.
Findings
Convergence rate is of order 1/t.
Laplace transform of the convergence measure is identified.
Provides examples illustrating the results.
Abstract
In this note we prove that the speed of convergence of the workload of a L\'evy-driven queue to the quasi-stationary distribution is of order . We identify also the Laplace transform of the measure giving this speed and provide some examples.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Queuing Theory Analysis · Probability and Risk Models
