Time-dependent analysis of an M / M / c preemptive priority system with two priority classes
Jori Selen () and
Brian Fralix
Additional contact information
Jori Selen: Eindhoven University of Technology
Brian Fralix: Clemson University
Queueing Systems: Theory and Applications, 2017, vol. 87, issue 3, No 8, 379-415
Abstract:
Abstract We analyze the time-dependent behavior of an M / M / c priority queue having two customer classes, class-dependent service rates, and preemptive priority between classes. More particularly, we develop a method that determines the Laplace transforms of the transition functions when the system is initially empty. The Laplace transforms corresponding to states with at least c high-priority customers are expressed explicitly in terms of the Laplace transforms corresponding to states with at most $$c - 1$$ c - 1 high-priority customers. We then show how to compute the remaining Laplace transforms recursively, by making use of a variant of Ramaswami’s formula from the theory of M / G / 1-type Markov processes. While the primary focus of our work is on deriving Laplace transforms of transition functions, analogous results can be derived for the stationary distribution; these results seem to yield the most explicit expressions known to date.
Keywords: Static priority; Time-dependent analysis; Laplace transforms; Multi-dimensional Markov process; 60J27; 60J35; 60K25 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s11134-017-9541-2 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:queues:v:87:y:2017:i:3:d:10.1007_s11134-017-9541-2
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11134/
DOI: 10.1007/s11134-017-9541-2
Access Statistics for this article
Queueing Systems: Theory and Applications is currently edited by Sergey Foss
More articles in Queueing Systems: Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().