Transient solutions for the buffer behavior in statistical multiplexing
Performance Evaluation
Transient analysis of fluid model for ATM statistical multiplexer
Performance Evaluation - Special issue: performance models for information communication networks
Performability Analysis: A New Algorithm
IEEE Transactions on Computers
Transient analysis of stochastic fluid models
Performance Evaluation
A fluid queue driven by a Markovian queue
Queueing Systems: Theory and Applications
Comparison of steady-state methods computing Markov modulated fluid models
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
Short communication: Uniqueness of asymptotic solution for general Markov fluid models
Performance Evaluation
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We study the asymptotic behavior of fluid models with input and output rates modulated by a finite state irreducible Markov chain. Several methods have been proposed for the computation of the stationary distribution of buffer content. In this paper, we propose a new method based on recurrence relations for general fluid models. The main advantage of this method is its numerical stability, since it only deals with a non-increasing sequence of positive numbers bounded by 1. We apply this method to a stochastic fluid model and we interpret the numerical results.