The use of derivatives for optimizing steady state queues

The use of derivatives for optimizing steady state queues

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Article ID: iaor19951936
Country: United Kingdom
Volume: 46
Issue: 1
Start Page Number: 104
End Page Number: 115
Publication Date: Jan 1995
Journal: Journal of the Operational Research Society
Authors: ,
Abstract:

To design queueing systems in an optimal way, one needs derivatives of the main queueing measures, such as the average number in the system and the throughput. This paper shows how such measures can be obtained in a Markovian environment. For simplicity, attention is restricted to queues with Poisson arrivals, having either a finite buffer capacity or a finite calling population. For these queues, the paper first determines the derivatives of their steady state probabilities, which allows the finding of the derivatives of throughput and average number in the system. A number of examples show how these derivatives can be used for the purpose of optimization.

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