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AS Rank: Information for a single AS: AS Relationship Table (AS 14618)

This page presents the BETA version of AS Rank, CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers) and organizations (Orgs) (which are a collection of one or more ASes). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC.

ASes and Orgs are ranked by their customer cone size, which is the number of their direct and indirect customers. Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric.


AS Relationship Table Help
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Dataset:

AS relationship information for AS 14618 is shown below.
To select a different AS, enter the AS number associated with the AS, the name of the AS, or the name of the Org associated with the AS:

 
AS number: 14618
AS name: AMAZON-AES
Org name: Amazon.com, Inc.
AS rank: 10394
Country: US
Customer cone size: 1
AS degree:
1 0 1 0 0
Provider Sibling Peer Customer

The relationship table below displays the neighbors of AS 14618, and each neighbor's inferred relationship type with AS 14618.

Table shows 1 of 1 neighbor ASes,  sorted by  relationship type and AS rank, with details.

neighbor type
AS rank AS AS name Org name
5202 16509 AMAZON-02 Amazon.com, Inc.
 ⇔ sibling

data sources
geolocation database 2012.06.25 netacuity
organization whois 0000.00.00 JPNIC, KRNIC, LACNIC
2012.06.29 AFRINIC, APNIC, ARIN, LACNIC, RIPE
topology BGP 2013.04.01, 2013.04.02, 2013.04.03, 2013.04.04, 2013.04.05 ripe rrc00, rrc03, rrc04, rrc05, rrc06, rrc07, rrc10, rrc12, rrc13, rrc14, rrc15
routeviews eqix, isc, jinx, kixp, linx, routeviews2, saoppaulo, sydney, telxatl, wide

Corrections?

Do you find these relationships to be inconsistent with your own knowledge? We invite those with authoritative ground truth to provide corrections on our relationship inferences for AS 14618.


Support for this work is provided by the U.S. Department of Homeland Security's Science and Technology Directorate (Project N66001-08-C-2029), the National Science Foundation Internet Laboratory for Empirical Network Science (Project CNS-0958547), and Cisco's University Research Program.
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