id: 01766718
dt: j
an: 01766718
au: Kurasugi, Toshiyasu; Kobayashi, Kazutomo; Takahashi, Yukio
ti: A Markovian model of coded video traffic which exhibits long-range
    dependence in statistical analysis.
so: J. Oper. Res. Soc. Japan 42, No.1, 1-17 (1999).
py: 1999
pu: The Operations Research Society of Japan, Tokyo
la: EN
cc: 
ut: Hurst parameters; long-range dependence; communication networks
ci: 
li: doi:10.1016/S0453-4514(99)80001-5
ab: Summary: The purpose of this paper is to construct a Markovian model
    generating a sequence having almost the same statistical
    characteristics as a real video traffic process. We deal with measured
    traffic data from a certain video source. Taking scene changes into
    account we analyze the data and construct a model, called Markov-AR
    model, composed of three submodels: a Markov transition model for scene
    changes, an AR model for spikes of scenes, and an AR model with random
    parameters for bit rate sequences of individual scenes. A simulation
    study shows that statistical characteristics of a sequence generated by
    this model are very similar to the actual video traffic. Especially, in
    the variance-time analysis and in the $R/S$ analysis, these two
    sequences give similar estimates for the Hurst parameters and exhibit
    long-range dependence even though the model consists of only Markovian
    type, short-range dependent processes.
rv: