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Author Marron, F. Hernández-Campos J. S. ♦ Samorodnitsky, G. ♦ Smith, F. D.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Study Tail ♦ Heavy Tail Duration ♦ Internet Traffic ♦ Heavy Tail ♦ Internet Data Flow ♦ Variable Tail Index ♦ Data Analysis ♦ Long Range Dependence ♦ Extreme Tail ♦ Duration Distribution
Description In Proc. of IEEE/ACM MASCOTS
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. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2002-01-01