机构地区: 清华大学信息科学技术学院电子工程系
出 处: 《通信学报》 1998年第7期67-71,共5页
摘 要: 目前没有一个理论分析模型可以描述Gamma分布以及负指数下降的自相关性质,而这些性质对视频业务模型是很重要的。本文在DAR(1)模型的基础上发展出一种适合理论分析的视频业务模型C-DAR(1)。它是一个符合视频业务Gamma分布及自相关特点的分析模型。文中同时指出了一条将离散时间马氏链模型转化为连续时间马氏链的途径。 There is not an analysis model suitable to describe Gamma distribution and exponential autocorrelation characteristics in the literature up to now, which are very important for video traffic. In this paper, the a video model called CDAR(1) is proposed, which is based on DAR(1) model. It is an analysis model meeting the distribution and correlation characteristics of video conference traffic. A scheme is given to link the continuoustime Markov chain model with discretetime one.