Poster: Rediscovering Recurring Routing Results

Song, Xiao and Heidemann, John

citation

Xiao Song and John Heidemann 2025. Poster: Rediscovering Recurring Routing Results. Proceedings of the ACM Internet Measurement Conference (Maidson, Wisconsin, USA, Nov. 2025), 1074–1075. [DOI] [PDF] [Dataset]

abstract

Network operators need to understand how routing affects their customers, and to quickly detect routing changes. Despite its importance, today, there is no good way to summarize routing for a service, nor to differentiate between tiny changes and huge shifts. It is challenging to understand routing, even for a single destination, because no one organization has a global view of routing—routing emerges from combining the Internet’s diverse routing policies as determined by business and policy constraints. We present Fenrir, a new tool that can rediscover recurring routing results. It can help operators detect routing modes (stable periods) and spot changes that need a performance check. We use Fenrir to evaluate B-Root’s anycast service to show routing dynamics over five years. Fenrir shows that the routing of B Root is relatively stable except when sites are removed or added to B Root DNS service.

reference

@inproceedings{Song25a,
  author = {Song, Xiao and Heidemann, John},
  title = {Poster: Rediscovering Recurring Routing Results},
  booktitle = {Proceedings of the ACM Internet Measurement Conference},
  year = {2025},
  sortdate = {2025-11-21},
  project = {ant, pimawat, internetmap},
  jsubject = {network_topology},
  pages = {1074--1075},
  month = nov,
  address = {Maidson, Wisconsin, USA},
  publisher = {ACM},
  jlocation = {johnh: pafile},
  keywords = {internet, routing, ipv4, route fingerprinting},
  url = {https://ant.isi.edu/%7ejohnh/PAPERS/Song25a.html},
  pdfurl = {https://ant.isi.edu/%7ejohnh/PAPERS/Song25a.pdf},
  dataseturl = {https://ant.isi.edu/datasets/ipv4_traceroute/},
  xblogurl = {https://ant.isi.edu/blog/?p=tbd},
  doi = {https://doi.org/https://doi.org/10.1145/3730567.3768604}
}