Diffusion Approximation of Loss Queueing Systems
Nikolaos Limnios () and
Bei Wu ()
Additional contact information
Nikolaos Limnios: Université de Technologie de Compiègne, Sorbonne University Alliance
Bei Wu: School of Management, Northwestern Polytechnical University
Methodology and Computing in Applied Probability, 2025, vol. 27, issue 1, 1-5
Abstract:
Abstract A queueing loss system with N independent sources, without buffer, and n servers, is considered here ( $$N>n$$ N > n ). Arrivals and service times are Poisson and exponentially distributed, respectively. We present averaging and diffusion approximation results as the number of sources and service facilities becomes together large.
Keywords: Queuing loss system; Averaging; Diffusion approximation; Normal deviation; Markov process; 60K25; 60J27; 60J60 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11009-025-10141-1 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:metcap:v:27:y:2025:i:1:d:10.1007_s11009-025-10141-1
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-025-10141-1
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().