Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-20T10:49:11.367Z Has data issue: false hasContentIssue false

DELAY IN A TANDEM QUEUEING MODEL WITH MOBILE QUEUES: AN ANALYTICAL APPROXIMATION

Published online by Cambridge University Press:  19 March 2014

Ahmad Al Hanbali
Affiliation:
Department of Industrial Engineering and Business Information Systems, IEBIS Group, School of Management and Governance, University of Twente, The Netherlands. E-mail: a.alhanbali@utwente.nl
Roland de Haan
Affiliation:
Dep. of Applied Mathematics, SOR Group, University of Twente, The Netherlands. E-mail: haanr@utwente.nl, r.j.boucherie@utwente.nl, j.c.w.vanommeren@utwente.nl
Richard J. Boucherie
Affiliation:
Dep. of Applied Mathematics, SOR Group, University of Twente, The Netherlands. E-mail: haanr@utwente.nl, r.j.boucherie@utwente.nl, j.c.w.vanommeren@utwente.nl
Jan-Kees van Ommeren
Affiliation:
Dep. of Applied Mathematics, SOR Group, University of Twente, The Netherlands. E-mail: haanr@utwente.nl, r.j.boucherie@utwente.nl, j.c.w.vanommeren@utwente.nl
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In this paper, we analyze the end-to-end delay performance of a tandem queueing system with mobile queues. Due to state-space explosion, there is no hope for a numerical exact analysis for the joint-queue-length distribution. For this reason, we present an analytical approximation that is based on queue-length analysis. Through extensive numerical validation, we find that the queue-length approximation exhibits excellent performance for light traffic load.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2014 

References

1.Al Hanbali, A., de Haan, R., Boucherie, R.J. & van Ommeren, J.K. (2008). A tandem queueing model for delay analysis in disconnected ad hoc networks. Proc. ASMTA, LCNS 5055, Nicosia, Cyprus, pp. 189–205CrossRefGoogle Scholar
2.Al Hanbali, A., de Haan, R., Boucherie, R.J. & van Ommeren, J.K. (2012). Time-limited polling systems with batch arrivals and phase-type service times. Annals of Operations Research 198: 5782Google Scholar
3.Al Hanbali, A., Mandjes, M., Nazarathy, Y. & Whitt, W. (2011). The asymptotic variance of departures in critically loaded queues. Advances in Applied Probability 43: 243263Google Scholar
4.Borst, S., Boxma, O. & Combé, M. (1992). Collection of customers: a correlated M/G/1 queue. Performance Evaluation 20: 4759CrossRefGoogle Scholar
5.Coffman, E.G., Fayolle, G. & Mitrani, I. (1988). Two queues with alternating service periods. In: Performance ’87: Proc. of the 12th IFIP WG 7.3 Int. Symp. Computer Performance Modelling, Measurement and Evaluation. pp. 227–239Google Scholar
6.de Haan, R., Al Hanbali, A., Boucherie, R.J. & van Ommeren, J.K. (2009). A transient analysis of polling systems operating under exponential time-limited service disciplines. Research Memorandum 1894, University of Twente, NetherlandsGoogle Scholar
7.de Haan, R., Boucherie, R.J. & van Ommeren, J.K. (2009). A polling model with an autonomous server. Queueing Systems 62: 279308CrossRefGoogle Scholar
8.Delay Tolerant Networking Research Group, Web site: http://www.dtnrg.org.Google Scholar
9.Doshi, B. (1986). Queueing systems with vacations—a survey. Queueing Systems 1: 2966Google Scholar
10.Eliazar, I. & Yechiali, U. (1998). Polling under the randomly-timed gated regime. Stochastic Models 14: 7993CrossRefGoogle Scholar
11.Frigui, I. & Alfa, A. (1998). Analysis of a time-limited polling system. Computer Communications 21(6): 558571CrossRefGoogle Scholar
12.Grossglauser, M. & Tse, D. (2002). Mobility increases the capacity of ad hoc wireless networks. IEEE Transactions on Networking 10: 477486CrossRefGoogle Scholar
13.Leung, K. (1994). Cyclic-service systems with non-preemptive time-limited service. IEEE Transactions on Communications 42: 25212524CrossRefGoogle Scholar
14.Neuts, M. (1981). Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach. Baltimore: Johns Hopkins University PressGoogle Scholar
15.Katayama, T. (2001). Waiting time analysis for a queueing system with time-limited service and exponential timer. Naval Research Logistics 48: 638651Google Scholar
16.van Ommeren, J.K. (1991). The discrete-time single-server queue. Queueing Systems 8: 279294Google Scholar
17.van Vuuren, M., Adan, I. & Resing-Sassen, S. (2005). Performance analysis of multi-server tandem queues with finite buffers and blocking. OR Spectrum 27: 315338CrossRefGoogle Scholar
18.Wang, C. & Wolff, R. (2005). Work-conserving tandem queues. Queueing Systems 49: 283296Google Scholar
19.Zazanis, M. (1998). A Palm calculus approach to functional versions of Little's law. Stochastic Processes and their Applications 74: 195201CrossRefGoogle Scholar