Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/1705
Title: Burstiness reduction of a boubly stochastic AR-modeled uniform activity VBR video
Authors: Daba, Jihad S. 
Affiliations: Department of Electrical Engineering 
Keywords: AR
ATM
Burstiness
Doubly stochastic
Statistical multiplexing
Issue Date: 2007
Part of: International journal of electrical robotics, electronics and communications engineering
Volume: 1
Issue: 10
Start page: 1458
End page: 1462
Abstract: 
Stochastic modeling of network traffic is an area of significant research activity for current and future broadband communication networks. Multimedia traffic is statistically characterized by a bursty variable bit rate (VBR) profile. In this paper, we develop an improved model for uniform activity level video sources in ATM using a doubly stochastic autoregressive model driven by an underlying spatial point process. We then examine a number of burstiness metrics such as the peak-to-average ratio (PAR), the temporal autocovariance function (ACF) and the traffic measurements histogram. We found that the former measure is most suitable for capturing the burstiness of single scene video traffic. In the last phase of this work, we analyse statistical multiplexing of several constant scene video sources. This proved, expectedly, to be advantageous with respect to reducing the burstiness of the traffic, as long as the sources are statistically independent. We observed that the burstiness was rapidly diminishing, with the largest gain occuring when only around 5 sources are multiplexed. The novel model used in this paper for characterizing uniform activity video was thus found to be an accurate model.
URI: https://scholarhub.balamand.edu.lb/handle/uob/1705
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Electrical Engineering

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