# Goodput Estimation of an Access Node Buffer Carrying Correlated Video Traffic

## Ashraf Awad, Martin William McKinnon, and Raghupathy Sivakumar

GNAN Research Group

School of Electrical and Computer Engineering

Georgia Institute of Technology

#### Abstract

In this work, we present an algorithm to analytically estimate the
frame goodput of a correlated MPEG-2 video source that
traverses a first network node's buffer; where frame goodput is
defined as the ratio of the number cells in completely and correctly
transmitted frames through the buffer to the total number of cells
arriving to the buffer. The effect of changing the output-to-input
line speeds on the frame goodput is also investigated.
By using this algorithm, a buffer that is
three times the maximum frame size is seen to yield loss probability
of 10^{-6} at a normalized output line rate of 0.28 for a load of
20%. A maximum simulation error margin of ± 30% for values in
the order of 10^{-5} with a 98% confidence was achieved.