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

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	Similar Articles Articles by F. Hernández-Campos Articles by J. S. Marron Articles by F. D. Smith Articles by G. Samorodnitsky

10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'02)

Fort Worth, Texas

October 11-October 16

ISBN: 0-7695-1840-0

	ASCII Text	x
	F. Hernández-Campos, J. S. Marron, F. D. Smith, G. Samorodnitsky, "Variable Heavy Tailed Durations in Internet Traffic, Part I: Understanding Heavy Tails," Modeling, Analysis, and Simulation of Computer Systems, International Symposium on, pp. 0043, 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'02), 2002.

	BibTex	x
	@article{ 10.1109/MASCOT.2002.1167059, author = {F. Hernández-Campos and J. S. Marron and F. D. Smith and G. Samorodnitsky}, title = {Variable Heavy Tailed Durations in Internet Traffic, Part I: Understanding Heavy Tails}, journal ={Modeling, Analysis, and Simulation of Computer Systems, International Symposium on}, volume = {0}, year = {2002}, isbn = {0-7695-1840-0}, pages = {0043}, doi = {http://doi.ieeecomputersociety.org/10.1109/MASCOT.2002.1167059}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Modeling, Analysis, and Simulation of Computer Systems, International Symposium on TI - Variable Heavy Tailed Durations in Internet Traffic, Part I: Understanding Heavy Tails SN - 0-7695-1840-0 SP EP A1 - F. Hernández-Campos, A1 - J. S. Marron, A1 - F. D. Smith, A1 - G. Samorodnitsky, PY - 2002 VL - 0 JA - Modeling, Analysis, and Simulation of Computer Systems, International Symposium on ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MASCOT.2002.1167059

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.

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, pp.0043, 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'02), 2002

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