Archipelago Monitor Statistics

Archipelago (Ark): CAIDA's active measurement infrastructure serving the network research community since 2007.
Statistical information for the topology traces taken by this individual Ark monitor is displayed below. See the main statistics page for the full list of monitors

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San Diego, CA, US (53)
IPv6 data used (switch to IPv4)

AS Path Dispersion (by AS Hop)

Use the following link to download the data used to render this graph in ASCII, comma-separated values format here: (CSV output)


This graph will give you an immediate view of the AS peering relationships near the monitor. It is primarily useful to compare with the hosting organization's own information about what ASes are providing transit for your data, to see whether it matches what the Ark probes have discovered. For example, one could see whether probes are travelling over academic or commercial networks, and where those connect with each other. It also gives the best sense of the monitor's relationship to the rest of the Internet, by seeing how close it is to a Tier 1 or Tier 2 network.


It is important to recognize that these graphs are meant to illuminate the routing from a monitor, and not to show the volume of traffic normally flowing on the links or their bandwidth. Because of this, an AS/IP that might only be used for a small amount of actual traffic (but routes to a large section of the address space) can seem disproportionately large on the graph.

Characteristics of this graph

In this graph, we show the AS-level path dispersion, where all adjacent hops within the same AS are collapsed into a single hop. Typically, the first hop will be all one AS (ie, the local network that the monitor is in), with the second or third hop starting to split into different ASes as probes go to their destinations. This is seen as one solid contiguous column with several smaller column segments to its right.


(See the Routed /24 Topology Dataset for more information. This applies to all the dispersion graphs.)
Ark monitors collect data by sending scamper probes continuously to destination IP addresses. Destinations are selected randomly from each routed IPv4 /24 prefix on the Internet such that a random address in each prefix is probed approximately every 48 hours (one probing cycle). A single monitor won't probe all prefixes, but the prefixes it does probe will be randomly distributed, which gives a good sample cross section of the address space. As each probe travels from the monitor to its final destination, it passes through several IP addresses (ie, routers) which are owned by different autonomous systems (ASes).

How This Graph was Created

(This applies to all the dispersion graphs.)

Data Processing

We first take the IP addresses found in each path and look up its corresponding AS, creating a set of AS paths. We use heuristics to infer any unknown values in the IP and AS paths. First, any range of unknown ASes whose previous and following hops have the same value are all assumed to be within the same AS.
For example:
10 ?? ?? ?? 10
10 10 10 10 10
If there exists only one other known value between two neighboring values, the unknown hop is assigned that value. This can often happen when a router gives inconsistent responses, leaving an unknown hop some times and returning valid data at other times.
For example, say there are only three paths:
10 20 30 40 50
10 20 30 42 52
10 ?? 30 45 55
From this, we infer the unknown hop in the third path, and end up with:
10 20 30 40 50
10 20 30 42 52
10 20 30 45 55

Graph Generation

Then, we merge all the paths together into a tree structure to show how they disperse from the monitor as they go to their destinations. Each column is broken into smaller column sections based on the size of the previous hop. The Y axis represents the number of probe paths that go through a particular IP address or AS. The graph we create is a tree (as opposed to the actual network, where multiple paths can reconverge after diverging earlier), which allows IPs and ASes to show up several times within the same column.


Non-grayscale colors are assigned to the ASes that show up the most, which are typically early in a path. Less numerous ASes are assigned a dark grey, whereas black is used to denote hops after the end of a particular path. Any hops with an unknown IP or AS are denoted with '??' and are colored a lighter grey.

This kind of dispersion graph originated as a Skitter visualization (see section V.C).