A queueing model with server breakdowns, repairs, vacations, and backup server
Srinivas R. Chakravarthy,
Shruti, and
Rakhee Kulshrestha
Operations Research Perspectives, 2020, vol. 7, issue C
Abstract:
Queueing models wherein having a backup server during the absences (caused by vacations and breakdowns) of the main server have found many applications in practice. Such services offered by a backup server can be viewed as the (main) server working during a vacation or during a breakdown period. A backup server offering services can be thought of as the main server working (at a reduced rate) on vacations/repairs. Using Neuts’ versatile point process for the arrivals and modeling the service times with phase type distributions, we propose a model that generalizes some of the previously published ones on working-vacation-breakdown-repair queues. We carry out the steady-state analysis and report interesting illustrative numerical examples. We also prove decomposition results for the rate matrix and the mean number in the system under some special cases.
Keywords: Markovian arrival process; Working vacation; Server breakdown and repairs; Phase type distribution; Matrix analytical method (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2214716019302076
Full text for ScienceDirect subscribers only
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:eee:oprepe:v:7:y:2020:i:c:s2214716019302076
DOI: 10.1016/j.orp.2019.100131
Access Statistics for this article
Operations Research Perspectives is currently edited by Rubén Ruiz Garcia
More articles in Operations Research Perspectives from Elsevier
Bibliographic data for series maintained by Catherine Liu ().