Network Modeling for the Internet

Semi-Experiments - Formal Testing



 


Leader Mike Devetsikiotis (North Carolina State University), mdevets@ncsu.edu
http://www4.ncsu.edu/~mdevets
 Meeting Tuesday 1:00 - 2:00 pm, room 104 -- jointly with "Semi-Experiments: Look & See" group 
Members Ian Dinwoodie (Duke University), ihd@stat.duke.edu 
Arka Ghosh (University of North Carolina, Chapel Hill), apghosh@email.unc.edu
Steve Marron (SAMSI/University of North Carolina, Chapel Hill), marron@email.unc.edu
Jonathan Mattingly (Duke University),  jonm@math.duke.edu 
George Michailidis (University of Michigan), gmichail@umich.edu
David Rolls (SAMSI), rollsd@uncw.edu
Zhengyuan Zhu (University of North Carolina, Chapel Hill), zhuz@email.unc.edu
Outline Objectives The task of systematically characterizing the multitude of "factors" affecting traffic behavior and network performance, is a difficult but central one. Assessing the "effects" of such factors, ranging from qualitative statements, to full quantification, to (even better) sensitivity analysis, is particularly important. The approach of "semi-experiments" seems to present a refreshingly novel approach to this line of work. 
The objective of this work group is to engage in the careful and systematic study of such "semi-experiments" and attempt to 
(a) formalize them in a statistical sense (i.e., relate them to design of experiments, factorial analysis, statistical confidence, hypothesis testing, etc.); 
and 
(b) combine them or extend them utilizing the group's own expertise in statistics, output analysis techniques, and network system design methodologies. 
References Semi-Experiments and the Modelling of Internet Traffic (by Darryl Veitch)

http://www.icir.org/vern/imc-2003/program.html

Semi-experiment Data


Meetings

10/22/03: Discussion on Metrics

11/04/03: Queuing behavior

12/16/2003: George's five minute presentation
 
 

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