NDLI: Towards an AS-to-organization map

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Towards an AS-to-organization map

Towards an AS-to-organization map

Content Provider	ACM Digital Library
Author	Heidemann, John Krishnamurthy, Balachander Cai, Xue Willinger, Walter
Abstract	An understanding of Internet topology is central to answer various questions ranging from network resilience to peer selection or data center location. While much of prior work has examined AS-level connectivity, meaningful and relevant results from such an abstract view of Internet topology have been limited. For one, semantically, AS relationships capture business relationships and not physical connectivity. Additionally, many organizations often use multiple ASes, either to implement different routing policies, or as legacies from mergers and acquisitions. In this paper, we move beyond the traditional AS graph view of the Internet to define the problem of AS-to-organization mapping. We describe our initial steps at automating the capture of the rich semantics inherent in the AS-level ecosystem where routing and connectivity intersect with organizations. We discuss preliminary methods that identify multi-AS organizations from WHOIS data and illustrate the challenges posed by the quality of the available data and the complexity of real-world organizational relationships.
Starting Page	199
Ending Page	205
Page Count	7
File Format	PDF
ISBN	9781450304832
DOI	10.1145/1879141.1879166
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-11-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Whois Regional internet registry (rir) Organization Autonomous system (as) Mapping Clustering
Content Type	Text
Resource Type	Article

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