eprintid: 13296
rev_number: 15
eprint_status: archive
userid: 3588
dir: disk0/00/01/32/96
datestamp: 2014-10-23 09:08:02
lastmod: 2023-02-16 13:17:43
status_changed: 2014-10-23 09:08:02
type: article
metadata_visibility: show
title: Stationary Effectiveness of an Information Server with a Single Buffer and Bursty Demands of Two Different Customers
language: english
abstract: In this article we study the stationary efficiency of a system consisting of a finite capacity
buffer connected to two different customers with bursty on-off demands. We assume that the
buffer is filled up at a constant rate. The dynamic of the overall system is modeled using
a semi-Markov evolution environment and we derive design formulae involving the main
parameters. It has been shown that it is possible to use the phase merging algorithm (PMA) to
reduce the semi-Markov process to an approximated Markov process. We apply the PMA to the
analysis of two different semi-Markov cases.
creators_name: Pogorui, A. A.
creators_name: Rodríguez-Dagnіno, Ramón М.
creators_name: Rodríguez-Saіd, R. D.
ispublished: pub
subjects: QA77
divisions: sch_man
full_text_status: public
date: 2008
date_type: published
publication: Stochastic Models
volume: 24
publisher: Taylor & Francis
pagerange: 246-269
refereed: TRUE
citation:   Pogorui, A. A., Rodríguez-Dagnіno, Ramón М., Rodríguez-Saіd, R. D.  (2008) Stationary Effectiveness of an Information Server with a Single Buffer and Bursty Demands of Two Different Customers.  Stochastic Models, 24.  с. 246-269.      
document_url: http://eprints.zu.edu.ua/13296/1/Stochastic_Models.pdf