  This paper studies the statistical nature of TV channels streaming variable
bit rate distribution and allocation. The goal of the paper is to derive the
best-fit rate distribution to describe TV streaming bandwidth allocation, which
can reveal traffic demands of users. Our analysis uses multiplexers channel
bandwidth allocation (PID) data of 13 TV live channels. We apply 17 continuous
and 3 discrete distributions to determine the best-fit distribution function
for each individual channel and for the whole set of channels. We found that
the generalized extreme distribution fitting most of our channels most
precisely according to the Bayesian information criterion. By the same
criterion tlocationscale distribution matches best for the whole system. We use
these results to propose parameters for streaming server queuing model. Results
are useful for streaming servers scheduling policy design process targeting to
improve limited infrastructural resources, traffic engineering through dynamic
routing at CDN, SDN.
