Variable bit rate (VBR) video is expected to become one of the major applications used on high-speed networks such as ATM-based B-ISDN. Effective design and performance analysis of such networks thus depends on accurate modeling of VBR video traffic. Traditionally, Markovian models which exhibit

Abstract—We have seen a phenomenal growth in video applications in the past few years. An accurate traffic model of VBR video is necessary for performance evaluation of a network design and also for creating synthetic loads that can be used for benchmarking a network. In view of this, various

of the real-time dynamic resource allocation and the policy controlling the renegotiation frequency. Second, tradeoff between accuracy of stream resource prediction and prediction delay. The latter is the focus of our work. We propose a new Content-based Video Traffic Model which uses the visual content

for VBR video and present an algorithm for generating synthetic traffic. Trace-driven simulations show that statistical multiplexing results in significant bandwidth efficiency even when long-range dependence is present. Simulations of our source model show long-range dependence and heavy-tailed marginals

Transient analysis of the D-BMAP/G/1 queue with an

Abstract – The Internet is rapidly growing in number of users, traffic levels, and topological complexity. At the same time it is increasingly driven by economic competition. These developments render the characterization of network usage and workloads more difficult, and yet more critical. Few

We are presenting a new framework of content based video (CBV) modeling, suitable for scalable variable bit rate (VBR) video traffic. Our approach differs form previous works in that it is not based only on matching of various statistics of the original source, but rather it includes

MPEG video traffic is expected to cause several problems in ATM networks, both from performance and from architectural viewpoint. For the solution of these difficulties, appropriate video traffic models are needed. A detailed statistical analysis of newly generated long MPEG encoded video sequences

In this letter we analyse the impact of VBR video traffic characteristics on broadband network performance. In particular, we compare in a queue the behaviour of several models that adjust different statistical parameters of two real MPEG traces. We prove that a good fit of the probability density

(movements). The corresponding force concept is discussed in more detail and can be also applied to the description of other behaviors. In the presented model of pedestrian behavior several force terms are essential: First, a term describing the acceleration towards the desired velocity of motion. Second