视频流量的时间特性研究

Tamás Borsos
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引用次数: 5

摘要

人们普遍认为视频帧大小过程是长距离相关的(LRD),这已经被一些统计测试所表明。这种方法建议在流量工程中使用LRD流量模型,这在许多情况下会导致网络缓冲区中的亚指数队列尾。基本上,有两个概念被认为是视频建模中LRD的起源:自相似性和重尾水平持续时间。在本文中,我们提出了一种新的方法,其中帧大小序列由代表三个明确时间尺度的三个过程描述,所有这些过程都具有物理意义。我们证明,这一概念可以解释LRD测试的结果。那些归因于长期依赖的性质实际上似乎是大时间尺度过程的非平稳性的结果。我们还表明高频分量是短距离依赖的,从而质疑视频流量中存在的长距离依赖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the temporal characteristics of video traffic
It is widely accepted that the video frame size process is long range dependent (LRD), which has been indicated by a number of statistical tests. This approach suggests the use of LRD traffic models for traffic engineering, which in many cases leads to subexponential queue tails in the network buffers. Basically, there are two concepts that are considered as the origin of LRD in video modeling: self-similarity and heavy tailed level durations. In this paper we argue for a new approach, where the frame size sequence is described by three processes representing three explicit time scales, all of them having a physical meaning. We demonstrate that this concept serves as an explanation for the outcome of the LRD tests. The properties that are attributed to long range dependence in fact seem to be the result of non-stationarity of the large time scale process. We also show that the high frequency component is short range dependent, thus questioning the presence of long range dependence in video traffic.
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