Eyeball ASes: from geography to connectivity

@inproceedings{Rasti2010EyeballAF,
  title={Eyeball ASes: from geography to connectivity},
  author={Amir H. Rasti and Nazanin Magharei and Reza Rejaie and Walter Willinger},
  booktitle={Internet Measurement Conference},
  year={2010}
}
This paper presents a new approach to determine the geographical footprint of individual Autonomous Systems that directly provide service to end-users, i.e., eyeball ASes. The key idea is to leverage the geo-location of end-users associated with an eyeball AS to identify its geographical footprint. We leverage the kernel density estimation method to estimate the density of users across individual eyeball ASes. This method enables us to cope with the potential error associated with the location… CONTINUE READING
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