



Archipelago (Ark): CAIDA's active measurement infrastructure serving the network research community since 2007.
bjl-gm
QCell
Serrekunda, GM
Time range | 2020-08-07 16:30 to 2020-08-08 01:30 UTC (9 hours) (270 days ago) |
Total traces | 84000 |
Traces with responding destinations | 10638 (12.664%) |
ASes with responding destinations | 1665 (19.360% out of 8600) |
Prefixes with responding destinations | 6247 (16.637% out of 37548) |
Protocol version | v4 |
Generated for cycle 8675 on 2020-08-09 10:30 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.
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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.
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AS Path Dispersion (by AS Hop)AS connectivity near monitor
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AS Path Dispersion (by IP Hop)AS connectivity near monitor (with IP hop distances preserved)
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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.
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CCDF of IP path lengths for responding destinations
percentile 10th 25th 50th 75th 90th Max IP path length 13 14 16 18 23 32 -
CCDF of AS path lengths for responding destinations
percentile 10th 25th 50th 75th 90th Max AS path length 3 4 5 5 6 13 -
CCDF of IP path lengths for non-responding destinations
percentile 10th 25th 50th 75th 90th Max IP path length 7 10 13 16 19 41 -
CCDF of AS path lengths for non-responding destinations
percentile 10th 25th 50th 75th 90th Max AS path length 2 3 4 5 5 13 -
CCDF of destination RTTs
percentile 10th 25th 50th 75th 90th RTT (ms) 88.781 125.931 211.428 332.156 377.017 -
RTT quartiles vs hop distance
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RTT density versus geographical distance
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RTT quartiles versus geographical distance