Statistical and Applied Mathematical Sciences Institute
19 T. W. Alexander Drive
P.O. Box 14006
Research Triangle Park, NC 27709-4006
Tel: 919.685.9350 FAX: 919.685.9360
info@samsi.info

SAMSI course on 

"Data Statistical Analysis and Modelling of Internet Traffic Data"

Network Modeling for the Internet Program

Instructor:  Professor J.S. Marron, University of North Carolina & SAMSI Associate Director

Class Time:  Tuesdays, 4:30 - 7:00pm

Class Location:  NISS Building, Room 104

Class begin August 26, 2003

University Listings

Duke University    STA 293.02

UNC-CH              STAT 321

NC State               ST 810R-004

Course Description

The analysis and modelling of internet traffic data represents an important major challenge for engineers, for computer scientists, for statisticians and for probabilists. Really new ideas and models are needed because heavy tailed distributions and long range dependence (both appearing at a number of different points) render standard methods, such as classical queueing theory, unusable. This course considers a variety of mnethods for understanding and modelling internet traffic at a variety of levels, from individual TCP traces, to monitoring traffic on a main link. An important underlying concept is cross scale views of data. Novel graphical views of data play an important role. To reach a broad audience, prerequisites are kept to a minimum, with needed foundational material, including Q-Q plots, time series analysis, long range dependence, and SiZer analysis being introduced as needed.

Prerequisites:    One year of probability and statistics, at the undergraduate level.

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