RT Journal Article
T1 Entropy maximization and the busy period of some single-server vacation models
A1 Artalejo Rodríguez, Jesús Manuel
A1 López Herrero, María Jesús
AB 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).
PB EDP Sciences
SN 1290-3868
YR 2004
FD 2004-07
LK https://hdl.handle.net/20.500.14352/50019
UL https://hdl.handle.net/20.500.14352/50019
LA eng
NO This research was supported by the project BFM2002-02189.
DS Docta Complutense
RD 7 jun 2025