Perturbation analysis of an M/M/1 queue in a diffusion random environment

AbstractWe study in this paper an M/M/1 queue whose server rate depends upon the state of an independent Ornstein–Uhlenbeck diffusion process (X(t)) so that its value at time t is μφ(X(t)), where φ(x) is some bounded function and μ>0. We first establish the differential system for the conditional probability density functions of the couple (L(t),X(t)) in the stationary regime, where L(t) is the number of customers in the system at time t. By assuming that φ(x) is defined by φ(x)=1−ε((x∧a/ε)∨(−b/ε)) for some positive real numbers a, b and ε, we show that the above differential system has a unique solution under some condition on a and b. We then show that this solution is close, in some appropriate sense, to the solution to the differential system obtained when φ is replaced with Φ(x)=1−εx for sufficiently small ε. We finally perform a perturbation analysis of this latter solution for small ε. This allows us to check at the first order the validity of the so-called reduced service rate approximation, stating that everything happens as if the server rate were constant and equal to $\mu(1-\varepsilon {\mathbb{E}}(X(t)))$ .

[1]  R. Núñez Queija,et al.  Centrum Voor Wiskunde En Informatica Reportrapport Sojourn times in a Processor Sharing Queue with Service Interruptions Sojourn times in a Processor Sharing Queue with Service Interruptions , 2022 .

[2]  Samuel Karlin,et al.  Many server queueing processes with Poisson input and exponential service times , 1958 .

[3]  Philippe Robert Stochastic Networks and Queues , 2003 .

[4]  Philippe Robert,et al.  Perturbation analysis of a variable M/M/1 queue: a probabilistic approach , 2006, Advances in Applied Probability.

[5]  Laurent Massoulié,et al.  Bandwidth sharing: objectives and algorithms , 2002, TNET.

[6]  D. Iglehart Weak convergence of compound stochastic process, I , 1973 .

[7]  Alexandre Proutière,et al.  Modeling integration of streaming and data traffic , 2004, Perform. Evaluation.

[8]  Philippe Robert,et al.  Integration of streaming services and TCP data transmission in the Internet , 2005, Perform. Evaluation.

[9]  M. Reed,et al.  Fourier Analysis, Self-Adjointness , 1975 .

[10]  Samuel Karlin,et al.  Ehrenfest urn models , 1965 .

[11]  Galliano Valent,et al.  A large family of semi-classical polynomials: the perturbed Chebyshev , 1995 .

[12]  R. Nunez Queija,et al.  Centrum Voor Wiskunde En Informatica Reportrapport Sojourn times in Non-homogeneous Qbd Processes with Processor Sharing Sojourn times in Non-homogeneous Qbd Processes with Processor Sharing , 2022 .

[13]  R. Núñez Queija,et al.  Analysis of a multi-server queueing model of ABR , 1996 .

[14]  Richard L. Tweedie,et al.  Markov Chains and Stochastic Stability , 1993, Communications and Control Engineering Series.

[15]  E. Altman,et al.  Perturbation analysis for denumerable Markov chains with application to queueing models , 2004, Advances in Applied Probability.

[16]  R. A. Silverman,et al.  Special functions and their applications , 1966 .

[17]  Donald L. Iglehart Corrigendum to weak convergence of compound stochastic processes, I , 1973 .