Self-similar traffic generation using a fractional ARIMA model. Application to the VBR MPEG video traffic

Luis J. de la Cruz, Esteve Pallarès, J. Alins, J. Mata
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引用次数: 18

Abstract

Recent studies and traffic measurements have shown that variable bit rate (VBR) video traffic, as well as local area network (LAN) traffic, exhibits long-range dependence (LRD). When this kind of traffic is transmitted over ATM networks, the LRD property implies a larger requirement in buffer allocation and channel capacity. A new fractional ARIMA model for VBR MPEG video traffic at frame level is presented. The fractional integrative component of the model is based on a process called "fractional differencing". The model is obtained from three very long sequences. It is used to synthesize artificial traffic, which presents the desired LRD.
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使用分数ARIMA模型生成自相似流量。应用于VBR的MPEG视频流量
最近的研究和流量测量表明,可变比特率(VBR)视频流量以及局域网(LAN)流量表现出远程依赖性(LRD)。当这种流量在ATM网络上传输时,LRD属性意味着对缓冲区分配和信道容量的需求更大。提出了一种新的帧级VBR MPEG视频流量分数ARIMA模型。该模型的分数积分部分基于一个称为“分数差分”的过程。该模型由三个很长的序列得到。用它来合成人工交通量,得到期望的LRD。
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