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
Lawrence, KS, US (66)
IP Path Dispersion (by IP Hop)
Use the following link to download the data used to render this graph in ASCII, comma-separated values format here: (CSV output
The IP-level dispersion graph gives the finest detail of local routing
infrastructure that can be hidden in the AS dispersion graphs. For
instance, we can look at a string of hops within a single AS and see
whether that is due to a single set of IP addresses carrying all the
traffic through that AS, or if instead the probes are being sent to several
different routers at a single hop. Additionally, it can be useful to see
what ASes are doing load-balancing (and where they're doing it).
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
Characteristics of this graph
In this graph, we show the IP-level path dispersion, colored and annotated
by corresponding AS number. Because this doesn't allow any aggregation,
we only show paths out to 10 hops in order to avoid the unreadably
fragmented columns further out.
As with the AS dispersion graphs, you might encounter several column
segments of roughly the same size next to each other, which indicates
a string of IP addresses that are common for many paths. The graph will
also show the varied IPs used to send data to different destinations. One
unique quality that only shows up in the IP-level graph, however, is the
symmetry caused by load-balancing. This is seen as a block splitting into
two or more equal segments (within the same AS) that have the same pattern
of column segments to their right, causing a repetition of IP addresses
within the same column.
Routed /24 Topology Dataset
for more information. This summary 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.)
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.
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
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
IP or AS are denoted with '??' and
are colored a lighter grey.
This kind of dispersion graph originated as a Skitter
(see section V.C).