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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san9-us

San Diego State University
San Diego, CA, US (95)

Time range	2024-10-24 06:04 to 12:31 UTC (6 hours) (1 day ago)
Total traces	58500
Traces with responding destinations	6723 (11.492%)
ASes with responding destinations	1193 (17.232% out of 6923)
Prefixes with responding destinations	4468 (15.071% out of 29646)
Protocol version	v4

Generated for cycle 12010 on 2024-10-25 10:12 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	12	14	17	19	24	36

  
• CCDF of AS path lengths for responding destinations

  percentile	10th	25th	50th	75th	90th	Max
  AS path length	5	6	6	7	8	13

  
• CCDF of IP path lengths for non-responding destinations

  percentile	10th	25th	50th	75th	90th	Max
  IP path length	7	10	13	17	21	36

  
• CCDF of AS path lengths for non-responding destinations

  percentile	10th	25th	50th	75th	90th	Max
  AS path length	3	5	6	7	7	18

  

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)	51.103	80.321	154.055	193.923	282.494

  
• RTT quartiles vs hop distance
  

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