EconPapers    
Economics at your fingertips  
 

The multiple server effect: Optimal allocation of servers to stations with different service‐time distributions in tandem queueing networks

Kenichi Futamura

Annals of Operations Research, 2000, vol. 93, issue 1, 90 pages

Abstract: Traditionally, studies on tandem queueing networks concentrate on systems with infinite buffers, exponential service times, and/or single servers where solutions are more tractable. Less research can be found on more general, less tractable systems. We examine multiple‐server systems with finite buffers and non‐exponential service times, studying the effects of coefficient of variation (cv) of the service‐time distribution on the throughput of these systems, where cv differs among stations. Starting with the single station, we examine the effects of cv and the number of servers at the station on the distribution of interdeparture times. This insight helps explain the differences in throughput seen in the single (fast) server vs. multiple (slow) server problem. These results, in turn, shed light on the server allocation problem when cv differs among stations. We present some observations, as well as the intuition behind them. Copyright Kluwer Academic Publishers 2000

Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1018948512499 (text/html)
Access to full text is restricted to subscribers.

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:93:y:2000:i:1:p:71-90:10.1023/a:1018948512499

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1018948512499

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:93:y:2000:i:1:p:71-90:10.1023/a:1018948512499