Variable Heavy Tailed Durations in Internet Traffic, Part I: Understanding Heavy Tails

Authors:
F. Hernández-Campos;J. S. Marron;F. D. Smith;G. Samorodnitsky
Affiliations:
-;-;-;-
Venue:
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Year:
2002

Citing 0
Cited 7

A hybrid systems modeling framework for fast and accurate simulation of data communication networks

SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Network traffic behaviour in switched Ethernet systems

Performance Evaluation - Special issue: Distributed systems performance
Self-similarity and long range dependence on the internet: a second look at the evidence, origins and implications

Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
A new TCP for persistent packet reordering

IEEE/ACM Transactions on Networking (TON)
Modeling communication networks with hybrid systems

IEEE/ACM Transactions on Networking (TON)
Scale free interval graphs

Theoretical Computer Science
Self-similarity and long range dependence on the internet: a second look at the evidence, origins and implications

Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is part of a larger paper that studies tails ofthe duration distribution of Internet data flows, and their"heaviness". Data analysis motivates the concepts of moderate,far and extreme tails for understanding the richnessof information available in the data. The analysis also motivatesa notion of "variable tail index", which leads to ageneralization of existing theory for heavy tail durationsleading to long range dependence. The emphasis here ison understanding heavy tails.