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QoS enhancements and performance analysis for delay sensitive applications

journal contribution
posted on 09.09.2013, 13:15 by Jie Wang, Lin Guan, Lee B. Lim, X.G. Wang, Alan Grigg, I.U. Awan, Iain W. Philips, X. Chi
This paper presents a comprehensive system modeling and analysis approach for both predicting queuing delay and controlling average queuing delay of a single buffer to a required value in a multiple traffic source network environment. This approach could effectively enhance the QoS performance of delay sensitive applications. A discrete-time analytical model that approximates the multi-source arrival process with a binomial distribution has been developed to analyze the relationship between the queuing threshold and average queuing delay. A control strategy with dynamic queue thresholds based on the analytical result is then used to control the average queuing delay to a required value within the buffer. Packet dropping is treated as implicit congestion feedback to the arrival process for rate adjustment. The feasibility of the system has been validated by comparing theoretical analysis with a diverse set of simulation results. Following from the simulation results, a set of statistical analyses has been performed to evaluate the efficiency and accuracy of the proposed scheme. In addition, a user-friendly graphical user interface has been developed to allow user-configuration of the simulation process and display simulation results.

History

School

  • Science

Department

  • Computer Science

Citation

WANG, J. ... et al, 2011. QoS enhancements and performance analysis for delay sensitive applications. Journal of Computer and System Sciences, 77 (4), pp. 665 - 676.

Publisher

© Elsevier Inc.

Version

VoR (Version of Record)

Publication date

2011

Notes

This article is closed access, it was published in the serial Journal of Computer and System Sciences [© Elsevier].The definitive version is available at: http://dx.doi.org/10.1016/j.jcss.2010.02.007

ISSN

0022-0000

Language

en

Exports