Artalejo, Jesús R. and Lopez-Herrero, M. J. (2004) Entropy maximization and the busy period of some single-server vacation models. RAIRO - Operations Research, 38 (3). pp. 195-213. ISSN 1290-3868
Restricted to Repository staff only until 31 December 2020.
In this paper, information theoretic methodology for system modeling is applied to investigate the probability density function of the busy period in M/G/1 vacation models operating under the N-, T- and D-policies. The information about the density function is limited to a few mean value constraints (usually the first moments). By using the maximum entropy methodology one obtains the least biased probability density function satisfying the system's constraints. The analysis of the three controllable M/G/1 queueing models provides a parallel numerical study of the solution obtained via the maximum entropy approach versus “classical” solutions. The maximum entropy analysis of a continuous system descriptor (like the busy period) enriches the current body of literature which, in most cases, reduces to discrete queueing measures (such as the number of customers in the system).
|Additional Information:||This research was supported by the project BFM2002-02189.|
|Uncontrolled Keywords:||Busy period analysis; maximum entropy methodology; M/G/1 vacation models; numerical inversion|
|Subjects:||Sciences > Mathematics > Operations research|
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|Deposited On:||19 Jun 2012 09:08|
|Last Modified:||06 Feb 2014 10:29|
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