Demo abstract: Towards extracting semantics by visualizing large traceroute datasets

Emden R. Gansner, Balachander Krishnamurthy, Walter Willinger, Fabian E Bustamante, Mario A. Sánchez*

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Many Internet mapping projects have used traceroute as a measurement primitive and have generated hundreds of millions of traceroute samples used, among many purposes, for network debugging, troubleshooting and Internet mapping. In this work, we advocate the use of visualization as a means to extract semantics from large sets of traceroute data collected from large-scale traceroute campaigns. Using subsets of these datasets consisting of all traceroutes traversing a particular Internet eXchange Point (IXP), we illustrate how visualization allows us to (1) examine existing large datasets in a different way and (2) present different views of the data that can provide new insights and lead to new questions.

Original languageEnglish (US)
Pages (from-to)81-83
Number of pages3
JournalComputing
Volume96
Issue number1
DOIs
StatePublished - Jan 1 2014

Keywords

  • Edge bundling
  • IXP
  • Traceroute measurements

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Numerical Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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