Self-Similar Traffic Generation Using a Fractional Arima Model - Application to VBR MPEG Video Traffic<br />10.14209/jcis.1999.3

  • Luis J. de la Cruz
  • Esteve Pallares
  • Juan J. Alins
  • Jorge Mata

Abstract

Recent studies and traffic measurements have shown that variable bit rate (VBR) video traffic, as well as local area networks (LAN) traffic, exhibits long range dependence (LRD). When this kind of traffic is transmitted over AIM networks, the LRD property implies a bigger necessity in term of buffer allocation and channel capacity. In this paper, 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 has been obtained from three very long sequences. It has been used to synthesize artificial traffic, which presents the desired LRD.
Published
17-06-2015
How to Cite
J. de la Cruz, L., Pallares, E., J. Alins, J., & Mata, J. (2015). Self-Similar Traffic Generation Using a Fractional Arima Model - Application to VBR MPEG Video Traffic<br /&gt;10.14209/jcis.1999.3. Journal of Communication and Information Systems, 14(1). Retrieved from https://jcis.sbrt.org.br/jcis/article/view/227
Section
Regular Papers