Title of article :
Variable heavy tails in Internet traffic
Author/Authors :
Luis Miguel and Hernلndez-Campos، نويسنده , , Félix and Marron، نويسنده , , J.S. and Samorodnitsky، نويسنده , , Gennady and Smith، نويسنده , , F.D.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Abstract :
This paper studies tails of the size 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 data 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.
Keywords :
Heavy-tailed distributions , long-range dependence , Extreme value theory , WORLD WIDE WEB
Journal title :
Performance Evaluation
Journal title :
Performance Evaluation