By Bushra Anjum, Harry G. Perros
We current queueing-based algorithms to calculate the bandwidth required for a video move in order that the 3 major caliber of provider constraints, i.e., end-to-end hold up, jitter and packet loss, are ensured.
Conversational and streaming video-based functions have gotten an important a part of the typical net utilization. the standard of those functions (QoS), as skilled through the consumer, relies on 3 major metrics of the underlying community, particularly, end-to-end hold up, jitter and packet loss. those metrics are, in flip, without delay regarding the ability of the hyperlinks that the video site visitors traverses from its resource to vacation spot. the most challenge that this ebook addresses is how a lot bandwidth we must always allocate at the direction from resource to vacation spot of a video site visitors movement such that the end-to-end hold up, jitter and packet lack of the video packets are inside of a few anticipated required bounds.
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Additional info for Bandwidth Allocation for Video under Quality of Service Constraints
The problem studied in this chapter can be defined as follows. 1, each characterized by a random variable Xi, i = 1, 2, …, n. 1. Composition of n components We assume that for each component i we know xi, the qth percentile of a given metric of interest, such as the response time, power consumption and jitter. We calculate x, the qth percentile of the end-to-end metric over all the n components, by computing a weight w with which we weigh up the arithmetic sum. We first work with Partitioning the End-to-End QoS Budget to Domains 5 random variables that are exponentially distributed with either the same or different rate.
First, let us consider a hypoexponential distribution with two stages, each with parameters μ1 and μ2 respectively. Let xH be the qth percentile of the hypoexponential 12 Bandwidth Allocation for Video under Quality of Service Constraints distribution, notated as qH, and let xi be the qth percentile of the ith exponential stage, i = 1, 2, notated as qi. 10] Given xi and , i = 1, 2, we can calculate the weight function, w, using the above expression for any percentile qH of the two stage hypoexponential.
The response time was expressed as the mean, and the jitter was expressed as a percentile of the interarrival time at the destination. The authors proposed a method for adding the individual operators’ jitter. 4, their method is grossly inaccurate. The problem studied in this chapter can be defined as follows. 1, each characterized by a random variable Xi, i = 1, 2, …, n. 1. Composition of n components We assume that for each component i we know xi, the qth percentile of a given metric of interest, such as the response time, power consumption and jitter.
Bandwidth Allocation for Video under Quality of Service Constraints by Bushra Anjum, Harry G. Perros