Fluid Model Driven by an Ornstein-Uhlenbeck Process

Author:

Kulkarni Vidyadhar,Rolski Tomasz

Abstract

In this paper we consider a fluid model of a single buffer in a random external environment modeled by an Ornstein-Uhlenbeck process. Such a model appears as the limiting case of the multiplexing model of Anick, Mitra, and Sondhi [2] in a heavy traffic environment. We use the change of measure technique to derive an exponential upper bound on the tail probabilities of the steady-state buffer content. We also establish an asymptotic upper and lower exponential bounds on the tail probabilities.

Publisher

Cambridge University Press (CUP)

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rare-Event Simulation for the Hitting Time of Gaussian Processes;Distributed Computer and Communication Networks;2020

2. On Conditional Monte Carlo Estimation of Busy Period Probabilities in Gaussian Queues;Communications in Computer and Information Science;2016

3. On the Use of a Bridge Process in a Conditional Monte Carlo Simulation of Gaussian Queues;Communications in Computer and Information Science;2016

4. On Convergence Rate to Stationarity of Queues with General Gaussian Input;Analytical and Stochastic Modelling Techniques and Applications;2015

5. On the Effective Envelopes for Fluid Queues with Gaussian Input;Communications in Computer and Information Science;2014

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