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Center for Applied Internet Data Analysis
ISMA Dec '00 Routing and Topology Data Sets: Correlation and Visualization
On December 7-8, 2000, CAIDA hosted an Internet Statistics and Metrics Analysis (ISMA) workshop concerning the correlation and visualization of core routing tables and macroscopic topology data sets. This meeting engaged researchers and practitioners experienced in data analysis, data visualization, and Internet operations fields.

Workshop Research Questions

  • How can we correlate and analyze massive routing, topology, and performance data sets to provide timely insight into both normal as well as anomalous Internet behavior?
  • What analysis tools exist or are needed to aid correlation?
  • How accurately does a typical core routing table reflect paths that traffic will actually take through the infrastructure? Can we account for all types of incongruities?
  • Can we identify causes of trends in routing table growth, such as multi-homing at the edges?
  • What mechanisms currently exist or could be developed to identify critical or vulnerable pieces of the infrastructure?
  • How will needs change for MPLS/TE infrastructure? What about optical (non-IP) switched core?

Workshop Presentations

Workshop Final Report

ISMA Dec 2000 concluded successfully. The ISMA Final Report is available for viewing.

Constantinous Dovrolis on estimating bottleneck link bandwidth Lunchtime discussions Henk, Joerg, Nina and Lixin at the San Diego Bay cruise / meeting Andre Broido discsussing RTT plots
Constantinos Dovrolis
on bandwidth estimation
Lunchtime discussions San Diego Bay cruise / meeting Andre Broido
discussing RTT plots

Workshop Sponsors

This meeting, sponsored by the Cooperative Association for Internet Data Analysis (CAIDA), was held at the San Diego Supercomputer Center (SDSC) on the campus of the University of California, San Diego (UCSD). Funding for this event is provided in part by the National Science Foundation (NSF) under grant number ANI-9996248.


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  Last Modified: Thu Mar-2-2006 23:25:17 PST
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