TY  - JOUR
T1  - Modeling video traffic using M/G a compromise between Markovian and LRD models.
JF  - IEEE Journal on selected areas in communications
A1  - Krunz, M.M
LA  - English
UL  - https://tuklas.up.edu.ph/Record/UP-99796217609332663
AB  - Statistical evidence suggests that the autocorrelation function p(k) (k=0,1,...) of a compressed-video sequence is better captured by p(k)=e-β√k than by p(k)=k-β=e-βlogk (long-range dependence) or p(k)=e-βk (Markovian). A video model with such a correlation structure is introduced based on the so-called M/G/∞ input processes. In essence, the M/G/∞ process is a stationary version of the busy-server process of a discrete-time M/G/∞ queue. By varying G, many forms of time dependence can be displayed, which makes the class of M/G/∞ input models a good candidate for modeling many types of correlated traffic in computer networks. For video traffic, we derive the appropriate G that gives the desired correlation function p(k)=e-β√k. Though not Markovian, this model is shown to exhibit short-range dependence. Poisson variates of the M/G/∞ model are appropriately transformed to capture the marginal distribution of a video sequence. Using the performance of a real video stream as a reference, we study via simulations the queueing performance under three video models: our M/G/∞ model, the fractional ARIMA model (which exhibits LRD), and the DAR(1) model (which exhibits a Markovian structure). Our results indicate that only the M/G/∞ model is capable of consistently providing acceptable predictions of the actual queueing performance. Furthermore, only O(n) computations are required to generate an M/G/∞ trace of length n, compared to O(n2) for an F-ARIMA trace
KW  - DAR(1) model.
KW  - F-ARIMA trace.
KW  - LRD model.
KW  - M/G/∞ input processes.
KW  - Markovian model.
KW  - Poisson variates.
KW  - Autocorrelation function.
KW  - Busy-server process.
KW  - Compressed-video sequence.
KW  - Computer networks.
KW  - Correlated traffic.
KW  - Correlation function.
KW  - Correlation structure.
KW  - Discrete-time M/G/∞ queue.
KW  - Fractional ARIMA model.
KW  - Long-range dependence.
KW  - Marginal distribution.
KW  - Queueing performance.
KW  - Real video stream.
KW  - Short-range dependence.
KW  - Simulations.
KW  - Time dependence.
KW  - Video model.
KW  - Video sequence.
KW  - Video traffic.
KW  - Video traffic modeling.
ER  -