Formal Approximations of the Transient Distributions of the M/G/1 Workload Process

Fabian Michel; Markus Siegle

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arXiv · 2504.01193

Formal Approximations of the Transient Distributions of the M/G/1 Workload Process

Fabian Michel·Markus Siegle

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Abstract

This paper calculates transient distributions of a special class of Markov processes with continuous state space and in continuous time, up to an explicit error bound. We approximate specific queues on R with one-sided L\'evy input, such as the M/G/1 workload process, with a finite-state Markov chain. The transient distribution of the original process is approximated by a distribution with a density which is piecewise constant on the state space. Easy-to-calculate error bounds for the difference between the approximated and actual transient distributions are provided in the Wasserstein distance. Our method is fast: to achieve a practically useful error bound, it usually requires only a few seconds or at most minutes of computation time.

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BibTeX RIS

Fabian Michel, Markus Siegle. 2025-04-01. Formal Approximations of the Transient Distributions of the M/G/1 Workload Process. https://arxiv.org/abs/2504.01193

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