NDLI: A video traffic model based on the shifting-level process: the effects of SRD and LRD on queueing behavior

Content Provider	IEEE Xplore Digital Library
Author	Heejune Ahn Jae-Kyoon Kim Song Chong Bara Kim Bong Dae Choi
Copyright Year	2000
Description	Author affiliation: Central R&D Center, LGIC Ltd., Anyang-si, South Korea (Heejune Ahn)
Abstract	Recently, a number of empirical studies have demonstrated the existence of long-range dependence (LRD) or self-similarity in VBR video traffic. Since previous LRD models cannot capture all short- and long-term correlation and rate-distribution while still retaining mathematical tractability, there exist many doubts on the importance of SRD, LED, and rate-distribution on traffic engineering. In this paper, we present a video traffic model based on the shifting-level (SL) process with an accurate parameter matching algorithm for video traffic. The SL process captures all those key statistics of an empirical video trace. Also, we devised a queueing analysis method of SL/D/1/K, where the system size at every embedded point is quantized into a fixed set of values, thus the name quantization reduction method. This method is different from previous LRD queueing results in that it provides queueing results over all range not just an asymptotic solution. Further, this method provides not only the approximation but also the bounds of the approximation for the system states and thus guarantees the accuracy of the analysis. We found that for most available traces their ACF can be accurately modeled by a compound correlation (SLCC): an exponential function in short range and a hyperbolic function in long range. Comparing the queueing performances with C-DAR(1), the SLCC, and real video traces identify the effects of SRD and LRD in VBR video traffic on queueing performance.
Starting Page	1036
Ending Page	1045
File Size	1001153
Page Count	10
File Format	PDF
ISBN	0780358805
ISSN	0743166X
DOI	10.1109/INFCOM.2000.832279
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-03-26
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Communication system traffic control Telecommunication traffic Statistics Queueing analysis Autocorrelation Layout Mathematics Quantization Intserv networks
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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