The Pointwise Stationary Approximation for Queues with Nonstationary Arrivals
Linda Green and
Peter Kolesar
Additional contact information
Linda Green: Graduate School of Business, Columbia University, New York, New York 10027
Peter Kolesar: Graduate School of Business, Columbia University, New York, New York 10027
Management Science, 1991, vol. 37, issue 1, 84-97
Abstract:
We empirically explore the accuracy of an easily computed approximation for long run, average performance measures such as expected delay and probability of delay in multiserver queueing systems with exponential service times and periodic (sinusoidal) Poisson arrival processes. The pointwise stationary approximation is computed by integrating over time (that is taking the expectation of) the formula for the stationary performance measure with the arrival rate that applies at each point in time. This approximation, which has been empirically confirmed as a tight upper bound of the true value, is shown to be very accurate for a range of parameter values corresponding to a reasonably broad spectrum of real systems.
Keywords: queues; nonstationarity; approximation (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (73)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.37.1.84 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:37:y:1991:i:1:p:84-97
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().