Traffic matrix reloaded: Impact of routing changes

Renata Teixeira, Nick Duffield, Jennifer Rexford, Matthew Roughan

Research output: Contribution to journalConference article

22 Scopus citations

Abstract

A traffic matrix represents the load from each ingress point to each egress point in an IP network. Although networks are engineered to tolerate some variation in the traffic matrix, large changes can lead to congested links and poor performance. The variations in the traffic matrix are caused by statistical fluctuations in the traffic entering the network and shifts in where the traffic leaves the network. For an accurate view of how the traffic matrix evolves over time, we combine fine-grained traffic measurements with a continuous view of routing, including changes in the egress points. Our approach is in sharp contrast to previous work that either inferred the traffic matrix from link-load statistics or computed it using periodic snapshots of routing tables. Analyzing seven months of data from eight vantage points in a large Internet Service Provider (ISP) network, we show that routing changes are responsible for the majority of the large traffic variations. In addition, we identify the shifts caused by internal routing changes and show that these events are responsible for the largest traffic shifts. We discuss the implications of our findings on the accuracy of previous work on traffic matrix estimation and analysis.

Original languageEnglish (US)
Pages (from-to)251-264
Number of pages14
JournalLECTURE NOTES IN COMPUTER SCIENCE
Volume3431
DOIs
StatePublished - Jan 1 2005
Externally publishedYes
Event6th International Workshop on Passive and Active Network Measurement, PAM 2005 - Boston, MA, United States
Duration: Mar 31 2005Apr 1 2005

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Traffic matrix reloaded: Impact of routing changes'. Together they form a unique fingerprint.

  • Cite this