relation: https://khub.utp.edu.my/scholars/601/
title: Predicting traffic bursts using extreme value theory
creator: Dahab, A.Y.
creator: Said, A.M.
creator: Hasbullah, H.
description: Traffic Bursts appear to be more pronounced recently and have major consequences for network Quality of Service. We investigate the extreme behavior of bursts and quantify the probabilities of these large bursts. Taking Bellcore internal Ethernet traces as an example, we applied Generalized Extreme Value model over block maxima. The analysis reveals that traffic burst maxima follows GEV model with negative shape parameter. Traffic bursts are in the domain of attraction of Weibull distribution. Our result confirms the conclusion of Norros of storage fed with Gaussian self-similar input. © 2009 IEEE.
date: 2009
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Dahab, A.Y. and Said, A.M. and Hasbullah, H.  (2009) Predicting traffic bursts using extreme value theory.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77949974801&doi=10.1109%2fICSAP.2009.52&partnerID=40&md5=1f4d2d487469029d8b00e2f2cbf4736d
relation: 10.1109/ICSAP.2009.52
identifier: 10.1109/ICSAP.2009.52