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Probability and Statistics in Complex Systems: Genomics, Networks, and Financial Engineering, September 1, 2003 - June 30, 2004

Winter 2004

IMA Tutorial:

Measurement, Modeling and Analysis of the Internet

January 11, 2004

Organizers:

Bruce Hajek
Department of Electrical and Computer Engineering
University of Illinois, Urbana-Champaign
b-hajek@uiuc.edu
http://www.uiuc.edu/~b-hajek/

and

Don Towsley
Department of Computer Science
University of Massachusetts
towsley@cs.umass.edu
http://www-net.cs.umass.edu/personnel/towsley.html

Schedule Participants Registration Feedback
Abstracts
IMA Short Course: The Internet for Mathematicians, January 7-9, 2004
IMA Workshop, January 12-16, 2004

Paul Barford (Department of Computer Science, University of Wisconsin) will describe available tools for making measurements on the Internet, and he will describe the measurement infrastructures that are in place around the Internet. Vishal Misra (Department of Computer Science and Department of Electrical Engineering, Columbia University) will describe many of the mathematical models of various aspects of the Internet that have aided in understanding it, and provide a basis for the design and evaluation of the Internet as it evolves. This tutorial sets the stage for the workshop of the same title, January 12-16, and it is meant to complement the short course of January 7-9: The Internet for Mathematicians.

TUTORIAL SCHEDULE
SUNDAY, JANUARY 11
All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.
9:00-10:00 Paul Barford
University of Wisconsin-Madison
Measurement, Modeling and Analysis of the Internet
10:30-11:30 Paul Barford
University of Wisconsin-Madison
Measurement, Modeling and Analysis of the Internet
1:30-2:30 Vishal Misra
Columbia University in the City of New York

Measurement, Modeling, and Analysis of the Internet: Part II

Slides:   html    pdf    ps    ppt

3:00-4:00 Vishal Misra
Columbia University
in the City of New York

Measurement, Modeling, and Analysis of the Internet: Part II

Slides:   html    pdf    ps    ppt

Abstracts:

Paul Barford (Department of Computer Sciences, University of Wisconsin-Madison)  pb@cs.wisc.edu

Measurement, Modeling and Analysis of the Internet

There are many reasons for taking measurements in the Internet; from serving as a basis for scientific study to performing day to day operational management tasks. While taking measurements in the Internet can be as simple as running "pings" from a single desktop system, systematic large scale measurements are fraught with difficulty. In this tutorial we will describe the standard tools and techniques for taking measurements of a variety of Internet features and behaviors. We will also present the major infrastructures that have been deployed recently (and not so recently) for taking large scale measurements of the Internet. These infrastructures are principally used to gather data on Internet topology, routing, and traffic behavior. We will follow this with an overview of the standard techniques for organizing and analyzing Internet measurement data. We will conclude with a discussion of the many challenges facing researchers who wish to conduct Internet measurement studies or to use data gathered in Internet measurement infrastructures.

Vishal Misra (Department of Computer Science, Columbia University in the City of New York)  misra@cs.columbia.edu  http://www.cs.columbia.edu/~misra

Measurement, Modeling, and Analysis of the Internet: Part II
Slides:   html    pdf    ps    ppt

In this tutorial we will cover some of the important developments in the mathematical modeling and analysis of aspects of the Internet. We will be focusing on three areas (i) There has been a great deal of interest in the "self-similar," "fractal," or more appropriately long range dependent (LRD) nature of Internet traffic. We will introduce various models that have attempted to explain the LRD phenomena (ii) Measurements of the Internet topology have led to a number of modeling efforts to understand and explain the power law nature of the connectivity graph. We will look at some of the well known models (iii) TCP carries upwards of 90% of Internet traffic. Modeling TCP specifically, and congestion control on the Internet in general, has been a hot area of networking research in the past few years. We will outline the important and well known efforts in the area in the tutorial.

LIST OF CONFIRMED PARTICIPANTS

Name Department Affiliation
Scot Adams Institute for Mathematics and its Applications University of Minnesota
Soohan Ahn Department of Statistics Seoul National University (SRCCS)
David Alderson Department of Computer Science California Institute of Technology
Virgilio A. F. Almeida Department of Computer Sciences Federal University of Minas Gerais
Greg Anderson School of Mathematics University of Minnesota
Douglas N. Arnold Institute for Mathematics and its Applications University of Minnesota
Donald G. Aronson Institute for Mathematics and its Applications University of Minnesota
Gerard Awanou Institute for Mathematics and its Applications University of Minnesota
Karen Ball   University of Minnesota
Antar Bandyopadhyay   University of Minnesota
Paul Barford Department of Computer Sciences University of Wisconsin
Keith Berrier   Rice University
Maury Bramson Department of Mathematics University of Minnesota
Hi Jun Choe Department of Mathematics Yonsei University
Wanyang Dai Department of Mathematics Nanjing University
Jim Diehl Department of Electrical and Computer Engineering University of Minnesota
David H. C. Du Department of Computer Science University of Minnesota
Robert B. Feinberg Defense Department U.S. Government
Shmuel Friedland Department of Mathematics University of Illinois - Chicago
Tim Garoni Institute for Mathematics and its Applications University of Minnesota
Bruce Hajek Department of Electrical and Computer Engineering University of Illinois - Urbana-Champaign
Chuan-Hsiang Han Ford Company University of Minnesota
Naresh Jain School of Mathematics University of Minnesota
Lili Ju   University of Minnesota
Herve Kerivin   University of Minnesota
Mohammad Kazim Khan Department of Mathematics Kent State University
Dohyun Kim Department of Statisitics Seoul National University (SRCCS)
Dendatta Kulkcerni Department of Computer Science and Engineering University of Minnesota
Thomas G. Kurtz Department of Mathematics and Statistics University of Wisconsin
Yingping Lu Department of Computer Science and Engineering University of Minnesota
Richard P. McGehee School of Mathematics University of Minnesota
Vishal Misra Department of Computer Science Columbia University
Haewon Nam   University of Minnesota
Amir Niknejad Department of Mathematics University of Illinois - Chicago
Lea Popovic Institute for Mathematics and its Applications University of Minnesota
Greg Rempala Department of Mathematics University of Louisville
Jennifer Rexford Statistics Research AT&T Labs - Research
Fadil Santosa Institute for Mathematics and its Applications University of Minnesota
Arnd Scheel Institute for Mathematics and its Applications University of Minnesota
Khushboo Shah Department of Elecrical Engineering University of Southern California
Eran Shir Department of Electrical Engineering Systems Tel-Aviv University
Tamon Stephen   University of Minnesota
Donald Towsley   University of Massachusetts
Hui Wang Division of Applied Mathematics Brown University
Jing Wang   University of Minnesota
Walter Willinger Statistics Research AT&T Labs - Research
Kuai Xu Department of Computer Science University of Minnesota
Yuhong Yang Department of Statistics Iowa State University
Ofer Zeitouni School of Mathematics University of Minnesota
Bo Zeng Department of Industrial Engineering Purdue University
Jun Zhang Department of Computer Science University of Kentucky
Jun Zhao   University of Minnesota

 

Abstracts

IMA Short Course: The Internet for Mathematicians, January 7-9, 2004

IMA Workshop, January 12-16, 2004

Probability and Statistics in Complex Systems: Genomics, Networks, and Financial Engineering, September 1, 2003 - June 30, 2004