NDLI: Multi-Scale Queuing Analysis of Long-Range Dependent Traffic and Variable Service Rates

Content Provider	IEEE Xplore Digital Library
Author	Ashour, M. Le-Ngoc, T.
Copyright Year	2006
Description	Author affiliation: Department of ECE, McGill University, 3480 University, Montréal, Québec, Canada H3A 2A7. tho@ece.mcgill.ca (Le-Ngoc, T.) \|\| Department of ECE, McGill University, 3480 University, Montréal, Québec, Canada H3A 2A7. mashour@mcgill.ca (Ashour, M.)
Abstract	This paper proposes a multi-scale queuing (MSQ) analysis for long-range dependent traffic inputs and both fixed and variable service rates. Based on the observation that the queue length actually shapes both the traffic and service distributions at each time scale, the proposed queue-constrained (QC)-MSQ framework includes this inter-scale coupling effect in the queuing analytical models in order to enhance the estimation accuracy. Simulations are used to verify the accuracy of the analysis. The results show that the proposed analytical technique provides a more accurate estimation of the queue length and delay distributions, and that this accuracy is less affected by the traffic loading, correlation level, and variation.
Starting Page	585
Ending Page	590
File Size	282156
Page Count	6
File Format	PDF
ISBN	1424403553
ISSN	81649547
DOI	10.1109/ICC.2006.254858
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-11
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Queueing analysis Traffic control Delay estimation Telecommunication traffic Analytical models Shape Performance analysis Web and internet services Fractals Availability Performance Evaluation multi-scale queuing (MSQ) analysis Long Range Dependent (LRD) traffic variable service rates queue length and delay distributions
Content Type	Text
Resource Type	Article

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