Visualization Challenges in Internet Traffic Research

J. S. Marron
Department of Statistics
University of North Carolina

Abstract:  This is an overview of some new ideas, and of a
number of open problems in the visualization of internet
traffic data.  One challenge comes from the sheer scale of
the data, where millions (and far more if desired) of
observations are frequently available.  Another challenge 
comes from ubiquitous heavy tail distributions, which 
render standard ideas such as "random sampling will give a 
representative sample" obsolete.  One more challenge is the
visual representation of (and even the definition of)
"common constant transfer rates" in a large scatterplot.