CHARACTERIZATION OF VIDEO CODECS AS AUTOREGRESSIVE MOVING AVERAGE PROCESSES AND RELATED QUEUING SYSTEM PERFORMANCE

This paper describes a method of characterizing video codec sources in ATM networks as an autoregressive moving average process (ARMA). Measurements of the long-term mean and the auto-correlation function of cell interarrival times allow the parameter estimation of the ARMA model. The video source is then described by an ARMA model. Furthermore, it is shown that the multiplexed stream of video cells is an ARMA process, too. Such a cell stream is then applied to a model of a queueing system to obtain performance measures of the system. Perturbation analysis is then performed on the functional behavior of the queueing system by appropriate perturbation of the model parameters to determine cell waiting time sensitivity due to slight variations of the input process.