A Law of the Iterated Logarithm for the Sojourn Time Process in Queues in Series
Saulius Minkevičius (),
Vladimiras Dolgopolovas () and
Leonidas L. Sakalauskas
Additional contact information
Saulius Minkevičius: Institute of Mathematics and Informatics of VU
Vladimiras Dolgopolovas: Institute of Mathematics and Informatics of VU
Leonidas L. Sakalauskas: Institute of Mathematics and Informatics of VU
Methodology and Computing in Applied Probability, 2016, vol. 18, issue 1, 37-57
Abstract:
Abstract The object of this research in the sphere of queueing theory is the law of the iterated logarithm under the conditions of heavy traffic in queues in series. In this paper, the laws of the iterated logarithm are proved for the values of important probabilistic characteristics of the queueing system, like the sojourn time of a customer, and maximum of the sojourn time of a customer. Also, we prove that the sojourn time of a customer can be approximated by some recurrent functional. We also provide the results of statistical simulations for various system parameters and distributions.
Keywords: Queueing systems; Queues in series; Heavy traffic; A law of the iterated logarithm; Sojourn time of a customer; Maximum of the sojourn time of a customer; Statistical modeling; Monte Carlo simulation; 60K25; 60G70; 60F17 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11009-014-9402-y 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:18:y:2016:i:1:d:10.1007_s11009-014-9402-y
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-014-9402-y
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 ().