Quantifying the extent of IPv6 deployment

Elliott Karpilovsky, Alexandre Gerber, Dan Pei, Jennifer L. Rexford, Aman Shaikh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

37 Scopus citations


Our understanding of IPv6 deployment is surprisingly limited. In fact, it is not even clear how we should quantify IPv6 deployment. In this paper, we collect and analyze a variety of data to characterize the penetration of IPv6. We show that each analysis leads to somewhat different conclusions. For example: registry data shows IPv6 address allocations are growing rapidly, yet BGP table dumps indicate many addresses are either never announced or announced long after allocation; Netflow records from a tier-1 ISP show growth in native IPv6 traffic, but deeper analysis reveals most of the traffic is DNS queries and ICMP packets; a more detailed inspection of tunneled IPv6 traffic uncovers many packets exchanged between IPv4-speaking hosts (e.g., to traverse NAT boxes). Overall, our study suggests that from our vantage points, current IPv6 deployment appears somewhat experimental, and that the growth of IPv6 allocations, routing announcements, and traffic volume probably indicate more operators and users are preparing themselves for the transition to IPv6.

Original languageEnglish (US)
Title of host publicationPassive and Active Network Measurement - 10th International Conference, PAM 2009, Proceedings
Number of pages10
StatePublished - 2009
Event10th International Conference on Passive and Active Network Measurement, PAM 2009 - Seoul, Korea, Republic of
Duration: Apr 1 2009Apr 3 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th International Conference on Passive and Active Network Measurement, PAM 2009
Country/TerritoryKorea, Republic of

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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