A double-ended queue with catastrophes and repairs, and a jump-diffusion approximation
Antonio Di Crescenzo, Virginia Giorno, Balasubramanian Krishna Kumar,, Amelia G. Nobile

TL;DR
This paper models a system with catastrophes and repairs as a continuous-time random walk, deriving its probability laws and a jump-diffusion approximation to analyze its behavior under heavy traffic conditions.
Contribution
It introduces a novel jump-diffusion approximation for a system with catastrophes and repairs, providing insights into its transient and steady-state behaviors.
Findings
Derived explicit probability laws for the system.
Established a jump-diffusion approximation for heavy traffic.
Discussed the accuracy of the approximation.
Abstract
Consider a system performing a continuous-time random walk on the integers, subject to catastrophes occurring at constant rate, and followed by exponentially-distributed repair times. After any repair the system starts anew from state zero. We study both the transient and steady-state probability laws of the stochastic process that describes the state of the system. We then derive a heavy-traffic approximation to the model that yields a jump-diffusion process. The latter is equivalent to a Wiener process subject to randomly occurring jumps, whose probability law is obtained. The goodness of the approximation is finally discussed.
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