Stabilizing performance in a single-server queue with time-varying arrival rate

We consider a class of general $$G_t/G_t/1$$Gt/Gt/1 single-server queues, including the $$M_t/M_t/1$$Mt/Mt/1 queue, with unlimited waiting space, service in order of arrival, and a time-varying arrival rate, where the service rate at each time is subject to control. We study the rate-matching control, where the service rate is made proportional to the arrival rate. We show that the model with the rate-matching control can be regarded as a deterministic time transformation of a stationary G / G / 1 model, so that the queue length distribution is stabilized as time evolves. However, the time-varying virtual waiting time is not stabilized. We show that the time-varying expected virtual waiting time with the rate-matching service-rate control becomes inversely proportional to the arrival rate in a heavy-traffic limit. We also show that no control that stabilizes the queue length asymptotically in heavy traffic can also stabilize the virtual waiting time. Then we consider two square-root service-rate controls and show that one of these stabilizes the waiting time when the arrival rate changes slowly relative to the average service time, so that a pointwise stationary approximation is appropriate.

[1]  Ward Whitt,et al.  Server Staffing to Meet Time-Varying Demand , 1996 .

[2]  G. I. Falin,et al.  Periodic queues in heavy traffic , 1989, Advances in Applied Probability.

[3]  Inneke Van Nieuwenhuyse,et al.  Controlling excessive waiting times in small service systems with time-varying demand: An extension of the ISA algorithm , 2013, Decis. Support Syst..

[4]  P. Kolesar,et al.  The Pointwise Stationary Approximation for Queues with Nonstationary Arrivals , 1991 .

[5]  Tomasz Rolski,et al.  Queues with nonstationary inputs , 1989, Queueing Syst. Theory Appl..

[6]  Ard,et al.  STABILIZING PERFORMANCE IN NETWORKS OF QUEUES WITH TIME-VARYING ARRIVAL RATES , 2014 .

[7]  Lawrence M. Wein,et al.  Capacity Allocation in Generalized Jackson Networks , 2015 .

[8]  Ward Whitt,et al.  Staffing of Time-Varying Queues to Achieve Time-Stable Performance , 2008, Manag. Sci..

[9]  Shaler Stidham,et al.  Technical Note - A Last Word on L = λW , 1974, Oper. Res..

[10]  Germán Riaño,et al.  A new look at transient versions of Little's law, and M/G/1 preemptive last-come-first-served queues , 2010, Journal of Applied Probability.

[11]  WhittWard The Pointwise Stationary Approximation for Mt/Mt/s Queues Is Asymptotically Correct As the Rates Increase , 1991 .

[12]  Ward Whitt,et al.  Stabilizing Customer Abandonment in Many-Server Queues with Time-Varying Arrivals , 2012, Oper. Res..

[13]  Ward Whitt,et al.  Approximating a Point Process by a Renewal Process, I: Two Basic Methods , 1982, Oper. Res..

[14]  Ward Whitt,et al.  The Physics of the Mt/G/∞ Queue , 1993, Oper. Res..

[15]  Ward Whitt Heavy-traffic limits for queues with periodic arrival processes , 2014, Oper. Res. Lett..

[16]  Ward Whitt,et al.  A Stochastic Model to Capture Space and time Dynamics in Wireless Communication Systems , 1994, Probability in the Engineering and Informational Sciences.

[17]  J. Michael Harrison,et al.  Design and Control of a Large Call Center: Asymptotic Analysis of an LP-Based Method , 2006, Oper. Res..

[18]  Barry L. Nelson,et al.  Transforming Renewal Processes for Simulation of Nonstationary Arrival Processes , 2009, INFORMS J. Comput..

[19]  D. C. Champeney A handbook of Fourier theorems , 1987 .

[20]  Avishai Mandelbaum,et al.  Erlang-R: A Time-Varying Queue with Reentrant Customers, in Support of Healthcare Staffing , 2014, Manuf. Serv. Oper. Manag..

[21]  Ward Whitt,et al.  Refining diffusion approximations for queues , 1982, Oper. Res. Lett..

[22]  Wolfgang Fischer,et al.  The Markov-Modulated Poisson Process (MMPP) Cookbook , 1993, Perform. Evaluation.

[23]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1967 .

[24]  Ward Whitt,et al.  A review ofL=λW and extensions , 1991, Queueing Syst. Theory Appl..

[25]  W. Whitt,et al.  The asymptotic behavior o queues with time-varying arrival rates , 1984, Journal of Applied Probability.

[26]  W. Whitt,et al.  The Queueing Network Analyzer , 1983, The Bell System Technical Journal.

[27]  Ward Whitt,et al.  The Gt/GI/st+GI many-server fluid queue , 2012, Queueing Syst. Theory Appl..

[28]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1951 .

[29]  W. Whitt The pointwise stationary approximation for M 1 / M 1 / s , 1991 .

[30]  WhittWard,et al.  Stabilizing Customer Abandonment in Many-Server Queues with Time-Varying Arrivals , 2012 .

[31]  Ward Whitt,et al.  STAFFING A SERVICE SYSTEM WITH NON-POISSON NON-STATIONARY ARRIVALS , 2016 .

[32]  Leonard Kleinrock,et al.  Communication Nets: Stochastic Message Flow and Delay , 1964 .

[33]  Avishai Mandelbaum,et al.  Statistical Analysis of a Telephone Call Center , 2005 .

[34]  S. Wittevrongel,et al.  Queueing Systems , 2019, Introduction to Stochastic Processes and Simulation.

[35]  Ward Whitt A review of L =lambda W and extensions. , 1991 .

[36]  W. Whitt,et al.  Martingale proofs of many-server heavy-traffic limits for Markovian queues ∗ , 2007, 0712.4211.

[37]  Ward Whitt,et al.  Nearly periodic behavior in the overloaded $G/D/s+GI$ queue , 2011 .

[38]  W. A. Massey,et al.  Uniform acceleration expansions for Markov chains with time-varying rates , 1998 .

[39]  Ward Whitt,et al.  Coping with Time‐Varying Demand When Setting Staffing Requirements for a Service System , 2007 .

[40]  Ward Whitt,et al.  Departures from a Queue with Many Busy Servers , 1984, Math. Oper. Res..

[41]  Gabriel R. Bitran,et al.  A review of open queueing network models of manufacturing systems , 1992, Queueing Syst. Theory Appl..

[42]  W. A. Massey,et al.  M t /G/∞ queues with sinusoidal arrival rates , 1993 .

[43]  Ronald W. Wolff,et al.  Stochastic Modeling and the Theory of Queues , 1989 .

[44]  Dimitris Bertsimas,et al.  Transient laws of non-stationary queueing systems and their applications , 1997, Queueing Syst. Theory Appl..