Transient analysis of piecewise homogeneous Markov fluid models

Salah Al-Deen Almousa (), Gábor Horváth () and Miklós Telek ()
Additional contact information
Salah Al-Deen Almousa: Budapest University of Technology and Economics
Gábor Horváth: Budapest University of Technology and Economics
Miklós Telek: Budapest University of Technology and Economics

Annals of Operations Research, 2022, vol. 310, issue 2, No 2, 333-353

Abstract: Abstract Piecewise homogeneous Markov fluid models are composed by homogeneous intervals where the model is governed by an interval dependent pair of generators and the model behaviour changes at the boundaries. The main difficulty of the transient analysis of piecewise homogeneous Markov fluid models is the appropriate description of the various boundary cases. The paper proposes an analytical approach to handle the wide variety of the possible boundary cases in a relatively simple to describe and implement manner.

Keywords: Piecewise homogeneous Markov fluid models; Transient solution; Laplace transform; Numerical analysis (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-020-03831-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:310:y:2022:i:2:d:10.1007_s10479-020-03831-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-020-03831-1

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().