Laplace Transform in the Context Some M|G|∞ Queue Associated Probability Distributions

EasyChair Preprint no. 13822

Abstract

Laplace Transform is a widely used tool in the study of probability distributions, often allowing for a simpler determination of the p.d.f.'s and d.f.'s and having the possibility to work as a “moments generating function”. In this chapter it is considered a situation not so simple, as it is the case of the length of the MG∞ queue busy period distribution. Attention will also be given the respective tail Laplace transform. Then, in the context of a queues network, which nodes behave as MG∞  queues, the Laplace transform will be used to construct an algorithm to determine the Laplace transform of the distribution of the global service time length of a customer during their stay on the network.

Keyphrases: algorithm, busy period, Laplace transform, M|G|∞, queues network

@Booklet{EasyChair:13822,
  author = {Manuel Alberto M. Ferreira},
  title = {Laplace Transform in the Context Some M|G|∞ Queue Associated Probability Distributions},
  howpublished = {EasyChair Preprint no. 13822},

  year = {EasyChair, 2024}}