Second order effect of binary sources on characteristics of queue and loss rate

A wideband source in high speed networks is typically represented by a binary random process. The second-order properties of each binary source are characterized here by a multistate Markov-modulated Poisson process. A comprehensive numerical study is carried out to identify the individual effect of source second-order dynamics on queue length and loss rate. The concept of input power spectrum is then developed as a unified source measurement for multimedia traffic queuing analyses. The authors thoroughly explore the relationship between the source second-order dynamics in the time domain and the input power spectrum in the frequency domain, as well as its overall impact on system performance.<>