A queueing model with ON/OFF sources: approximation and stationarity

• Published in: Stochastic models Vol. 40; no. 3; pp. 433 - 463
• Main Authors: Dai, Hongshuai, Wu, Yanhua
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 02-07-2024; Taylor & Francis Ltd
• Subjects: Approximation; Brownian motion; long-range dependence; operator fractional Brownain motion; Parameters; queueing network with ON/OFF sources; Queuing theory; Self-similarity; stationarity; Stationary processes; Traffic
• ISSN: 1532-6349; 1532-4214
• DOI: 10.1080/15326349.2023.2267644

Fractional Brownian motion approximation of queueing networks has been studied extensively. In the existing results related to this topic, the Hurst parameter of multidimensional fractional Brownian motion is only a constant H
(
0
<
H
<
1
)
. However, just as pointed out by many scholars and practitioners, various Hurst parameters may be more appropriate. On the other hand, as a multivariate extension of fractional Brownian motion, operator fractional Brownian motion has operator self-similarity, and the dependence structure across the components of it is determined by the Hurst matrix. Moreover, it has also many potential applications in queueing theory. Inspired by these facts, we consider a queueing network with ON/OFF sources, and show that the workload process can be approximated by a reflected operator fractional Brownian motion under a heavy traffic condition. With this fact, it is important to consider stationarity. However, except for some special cases, there is no literature related to this topic. In our work, we construct an explicit stationary process associated with a two-dimensional reflected operator fractional Brownian motion.