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Entropy maximization and the busy period of some single-server vacation models

Jesus R. ArtalejoMaria J. Lopez-Herrero — 2004

RAIRO - Operations Research - Recherche Opérationnelle

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...

Entropy maximization and the busy period of some single-server vacation models

Jesus R. ArtalejoMaria J. Lopez-Herrero — 2010

RAIRO - Operations Research

In this paper, information theoretic methodology for system modeling is applied to investigate the probability density function of the busy period in vacation models operating under the -, - and -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 queueing...

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