Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Modeling and simulation of self-similar variable bit rate compressed video: a unified approach
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Source models for VBR broadcast-video traffic
IEEE/ACM Transactions on Networking (TON)
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
On the relevance of long-range dependence in network traffic
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
The effect of multiple time scales and subexponentiality in MPEG video streams on queueing behavior
IEEE Journal on Selected Areas in Communications
Modeling video traffic using M/G/∞ input processes: a compromise between Markovian and LRD models
IEEE Journal on Selected Areas in Communications
A new model for MPEG video traffic at the frame level using self-similar processes
SpringSim '07 Proceedings of the 2007 spring simulaiton multiconference - Volume 1
Multipath protocol for delay-sensitive traffic
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
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Video traffic compressed with variable bit rate coding scheme is known to possess high variations and multiple time scale characteristics. This property makes parsimonious video modeling a difficult task. A possible way of describing this traffic is via self-similar models, which also produce high variations on many time scales. However, these are general traffic models and do not represent many important characteristics of video. In this paper we show that video traffic has well-separable time scales. Based on this result, a new model is presented, which is capable of capturing the main properties of VBR video. The concept is scene-oriented, while a larger time scale - called epoch - is introduced. The main contribution of this paper is that the presence of multiple time scales seem to be the real reason for the slowly decaying autocorrelation function rather than heavy tailed level durations. Finally, the application of the model is shortly discussed for dimensioning, admission control and simulation purposes.