In this paper we study two transient characteristics of a Markov-fluid-driven queue, viz., the busy period and the covariance function of the workload process. Both metrics are captured in terms of their Laplace transforms. Relying on sample-path large deviations we also identify the logarithmic asymptotics of the probability that the busy period lasts longer than t, as t \to\infty. Examples are included that illustrate the theory.
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CWI
CWI. Probability, Networks and Algorithms [PNA]
Stochastics

Es-Saghouani, A., & Mandjes, M. (2008). Transient analysis of Markov-fluid-driven queues. CWI. Probability, Networks and Algorithms [PNA]. CWI.