Convergence properties of infinitesimal perturbation analysis
Management Science
Queueing Systems: Theory and Applications
Max-Plus Linear Stochastic Systems and Perturbation Analysis (The International Series on Discrete Event Dynamic Systems)
Measure-Valued Differentiation for Stationary Markov Chains
Mathematics of Operations Research
Gradient estimation for discrete-event systems by measure-valued differentiation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Weak Differentiability of Product Measures
Mathematics of Operations Research
A Perturbation Analysis Approach to Phantom Estimators for Waiting Times in the G/G/1 Queue
Discrete Event Dynamic Systems
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This paper is devoted to perturbation analysis of the stationary distribution of waiting times in the G/G/1 queue with a parameter-dependent service time distribution. We provide sufficient conditions under which the stationary distribution is Lipschitz continuous and we explicitly compute the Lipschitz constant. Thereby, we provide bounds on the effect of a (finite) perturbation of the service time distribution on the stationary waiting time. The case of infinitesimal perturbations (read, derivatives) is treated as well.