



Archipelago (Ark): CAIDA's active measurement infrastructure serving the network research community since 2007.
krt-sd
Sudan Univ. of Science and Technology (SUST)
Khartoum, SD
Time range | 2020-02-12 02:00 to 10:21 UTC (8 hours) (448 days ago) |
Total traces | 79500 |
Traces with responding destinations | 10164 (12.785%) |
ASes with responding destinations | 1552 (18.785% out of 8262) |
Prefixes with responding destinations | 6009 (16.699% out of 35984) |
Protocol version | v4 |
Generated for cycle 8166 on 2020-02-13 13:03 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 16 17 19 22 32 -
CCDF of AS path lengths for responding destinations
percentile 10th 25th 50th 75th 90th Max AS path length 4 4 5 7 7 14 -
CCDF of IP path lengths for non-responding destinations
percentile 10th 25th 50th 75th 90th Max IP path length 9 11 14 17 20 45 -
CCDF of AS path lengths for non-responding destinations
percentile 10th 25th 50th 75th 90th Max AS path length 3 4 5 6 7 12 -
CCDF of destination RTTs
percentile 10th 25th 50th 75th 90th RTT (ms) 107.184 142.324 245.862 357.189 417.838 -
RTT quartiles vs hop distance
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RTT density versus geographical distance
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RTT quartiles versus geographical distance