EEMCS

Home > Publications
Home University of Twente
Education
Research
Prospective Students
Jobs
Publications
Intranet (internal)
 
 Nederlands
 Contact
 Sitemap
 Search
 Organisation

EEMCS EPrints Service


1929 Decomposing the queue length distribution of processor-sharing models into queue lengths of permanent customer queues
Home Policy Brochure Browse Search User Area Contact Help

Cheung, S.K. and van den Berg, J.L. and Boucherie, R.J. (2005) Decomposing the queue length distribution of processor-sharing models into queue lengths of permanent customer queues. Performance Evaluation, 62 (1-4). pp. 100-116. ISSN 0166-5316 *** ISI Impact 1,168 ***

Full text available as:

PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
713 Kb

Official URL: http://dx.doi.org/10.1016/j.peva.2005.07.009

Exported to Metis

Abstract

We obtain a decomposition result for the steady state queue length distribution in egalitarian processor-sharing (PS) models. In particular, for multi-class egalitarian PS queues, we show that the marginal queue length distribution for each class equals the queue length distribution of an equivalent single class PS model with a random number of permanent customers. Similarly, the mean sojourn time (conditioned on the initial service requirement) for each class can be obtained by conditioning on the number of permanent customers. The decomposition result implies linear relations between the marginal queue length probabilities, which also hold for other PS models such as the egalitarian PS models with state-dependent system capacity that only depends on the total number of customers in the system. Based on the exact decomposition result for egalitarian PS queues, we propose a similar decomposition for discriminatory processor-sharing (DPS) models, and numerically show that the approximation is accurate for moderate differences in service weights. (Keywords: Processor-sharing queues; Queue length; Decomposition; Permanent customers; Approximation; Generalized discriminatory processor-sharing)

Item Type:Article
Research Group:EWI-SOR: Stochastic Operations Research, EWI-DACS: Design and Analysis of Communication Systems
Research Program:CTIT-ASI: A-services Internet
Research Project:Beyond 3G: Building Expertise Yielding Outperforming Networks Derived from 3G
Additional Information:This work has been partially funded by the Dutch Ministry of Economic Affairs under the program ‘Technologische Samenwerking ICT-doorbraakprojecten’, project no. TSIT1025 BEYOND 3G.
ID Code:1929
Status:Published
Deposited On:29 May 2006
Refereed:Yes
International:Yes
ISI Impact Factor:1,168
More Information:statisticsmetis

Export this item as:

To correct this item please ask your editor

Repository Staff Only: edit this item