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

ory6-fr

Pierre and Marie Curie University
Paris, FR (8)
IPv6 data used (switch to IPv4)

Time range	2025-06-28 10:04 to 2025-06-30 00:51 UTC (1 day 15 hours)
Total traces	452620
Traces with responding destinations	39095 (8.637%)
ASes with responding destinations	10727 (30.951% out of 34658)
Prefixes with responding destinations	35063 (15.968% out of 219580)
Protocol version	v6 (switch to v4)

Generated for cycle 20250628 on 2025-06-30 09:39 UTC

All images can be clicked on for more detailed information.

Median RTT per country and US state

Mapping RTT by political boundaries can reveal where high latency issues are located.

Median RTT per country and US state

Path Dispersion

The paths taken by different traces show where the majority of a monitor's traffic travels.

AS Path Dispersion (by AS Hop)

AS connectivity near monitor

AS Path Dispersion (by IP Hop)

AS connectivity near monitor (with IP hop distances preserved)

IP Path Dispersion (by IP Hop)

IP connectivity near monitor

Path Length Distributions

Path length distributions show, on aggregate, how well-connected a monitor is to the rest of the Internet.

CCDF of IP path lengths for responding destinations


percentile	10th	25th	50th	75th	90th	Max
IP path length	11	13	15	18	21	45

CCDF of AS path lengths for responding destinations


percentile	10th	25th	50th	75th	90th	Max
AS path length	3	4	5	6	7	11

CCDF of IP path lengths for non-responding destinations

percentile 10th 25th 50th 75th 90th Max

IP path length 7 11 13 17 21 50
CCDF of AS path lengths for non-responding destinations

percentile 10th 25th 50th 75th 90th Max

AS path length 2 3 4 5 6 12

RTT Distribution

An RTT distribution shows the general latency between a monitor and the rest of the Internet.

CCDF of destination RTTs

percentile 10th 25th 50th 75th 90th

RTT (ms) 14.402 35.131 118.071 188.713 242.454
RTT quartiles vs hop distance


percentile	10th	25th	50th	75th	90th
RTT (ms)	14.402	35.131	118.071	188.713	242.454

RTTs vs. Distance

Comparing RTT with geographical distance helps show if latency is primarily due to distance or other factors.

RTT density versus geographical distance
RTT quartiles versus geographical distance