On the time-dependent occupancy distribution of the g/g/1 queuing system

  • Authors:
  • Jorge Limón–robles;Martin a. Wortman

  • Affiliations:
  • Industrial and systems engineering, instituto tecnológico y de estudios superiores de monterrey, c.p. 64849, monterrey, n.l., méxico e-mail: jorge.limon@itesm.mx;Department of industrial and systems engineering, texas a&m university, college station, tx 77843–3131 e-mail: wortman@tamu.edu

  • Venue:
  • Probability in the Engineering and Informational Sciences
  • Year:
  • 2009

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Abstract

This article offers an approach for studying the time-dependent occupancy distribution for a modest generalization of the GI/G/1 queuing system in which interarrival times and service times, although mutually independent, are not necessarily identically distributed. We develop and explore an analytical model leading to a computational approach that gives tight bounds on the occupancy distribution. Although there is no general closed-form characterization of probability law dynamics for occupancy in the GI/G/1 queue, our results offer what might be termed “near-closed-form” in that accurate plots of the transient occupancy distribution can be constructed with an insignificant computational burden. We believe that our results are unique; we are unaware of any alternative analytical approach leading to a numerical characterization of the time-dependent occupancy distribution for the G/G/1 queuing systems considered here. Our analyses employ a marked point process that converges to the occupancy process at any fixed time t; it is shown that this process forms a Markov chain from which the transient occupancy law is available. We verify our analytical approach via comparison with the well-known closed-form expressions for time-dependent occupancy distribution of the M/M/1 queue. Additionally, we suggest the viability of our approach, as a computational means of obtaining the time-dependent occupancy distribution, through straightforward application to a Gamma[x]/Weibull/1 queuing system having batch arrivals and batch job services.