| Abstract |
|
This paper is part of a larger paper that studies tails of
the duration distribution of Internet data flows, and their
"heaviness". Data analysis motivates the concepts of moderate,
far and extreme tails for understanding the richness
of information available in the data. The analysis also motivates
a notion of "variable tail index", which leads to a
generalization of existing theory for heavy tail durations
leading to long range dependence. The emphasis here is
on understanding heavy tails.
|
 Additional Information
|
Citation:
F. Hernández-Campos, J. S. Marron, F. D. Smith, G. Samorodnitsky,
"Variable Heavy Tailed Durations in Internet Traffic, Part I: Understanding Heavy Tails,"
mascots,
p. 0043,
10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'02),
2002
|
