A probabilistic approach for the analysis of the $$M_n/G/1$$ M n / G / 1 queue
Antonis Economou () and
Athanasia Manou ()
Additional contact information
Antonis Economou: University of Athens
Athanasia Manou: University of Athens
Annals of Operations Research, 2022, vol. 317, issue 1, No 3, 19-27
Abstract:
Abstract The performance analysis of the classical M / G / 1 queue, under a general mixed joining/balking strategy was carried out recently by Kerner (Stoch Mod 24:364–375, 2008), who used an analytic approach based on the supplementary variable method. The tractability of the corresponding queueing system with state-dependent arrival rates is particularly significant, as it has important applications in situations where the customers are strategic. In this paper, we present an alternative path for the analysis of the same system, using purely probabilistic arguments.
Keywords: M/G/1 queue; Single server queue; State-dependent arrival rate; Balking; Conditional sojourn time distribution; Equilibrium distribution (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/s10479-015-1943-0 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:317:y:2022:i:1:d:10.1007_s10479-015-1943-0
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-015-1943-0
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 ().