EEMCS

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

EEMCS EPrints Service


18668 Quasi-stationary analysis for queues with temporary overload
Home Policy Brochure Browse Search User Area Contact Help

Cheung, S.K. and Boucherie, R.J. and Núñez-Queija, R. (2010) Quasi-stationary analysis for queues with temporary overload. In: Proceedings of the 22nd International Teletraffic Congress (ITC), 7-9 Sept 2010, Amsterdam. pp. 1-8. IEEE Communications Society. ISBN 978-1-4244-8837-7

Full text available as:

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

Official URL: http://dx.doi.org/10.1109/ITC.2010.5608739

Exported to Metis

Abstract

Motivated by the high variation in transmission rates for document transfer in the Internet and file down loads from web servers, we study the buffer content in a queue with a fluctuating service rate. The fluctuations are assumed to be driven by an independent stochastic process. We allow the queue to be overloaded in some of the server states. In all but a few special cases, either exact analysis is not tractable, or the dependence of system performance in terms of input parameters (such as the traffic load) is hidden in complex or implicit characterizations. Various asymptotic regimes have been considered to develop insightful approximations. In particular, the so-called quasistationary approximation has proven extremely useful under the assumption of uniform stability. We refine the quasi-stationary analysis to allow for temporary instability, by studying the “effective system load” which captures the effect of accumulated work during periods in which the queue is unstable.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-SOR: Stochastic Operations Research
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Uncontrolled Keywords:Effective load, Fluctuating rates, Markovian random environment, Excess load, Recovery time, Quasi-stationary analysis, Fluid queue
ID Code:18668
Status:Published
Deposited On:11 November 2010
Refereed:Yes
International:Yes
More Information:statisticsmetis

Export this item as:

To correct this item please ask your editor

Repository Staff Only: edit this item