| Greg's network link statistics |
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This page shows my network availability and performance statistics connected to the Australian National Broadband Network. It bases on earlier pages that I wrote for the DSL and satellite connections.
I had hoped that with the advent of the NBN, this page would no longer be needed. Unfortunately, this has proven not to be the case. While I don't have issues with throughput, the availability has been the worst I have ever experienced, with outages of up to 48 hours. It's not clear where the problem lies, but I have observed serious issues with the DHCP authentication that my ISP uses. More here when I understand the situation better.
The graphs show:
Network status. This is the number of remote systems responding to a ICMP echo (ping) packet at the same time as the link status ping. I currently ping 5 systems which I frequently access: freefall.freebsd.org (now somewhere in New York state), www.lemis.com, my external web server in Raleigh NC, ffm.lemis.com, located in Frankfurt am Main, ozlabs.org, located in Canberra, and ftp.netbsd.org, located somewhere in the USA. Normally this value should be 5. If it's less, the script retries every second until full connectivity is restored.
Link packet loss, which has proven to be a significant issue since early 2018. I send 20 ICMP ping messages to the other end of the network link and count how many are lost.
I previously had parameters "link status" and "TCP speed”, but they no longer seem to make much sense.
The graphs were made with gnuplot, and I'm not very happy with the smoothing. In particular, the right-hand side of smoothed graphs has too much influence, and it's easy to get the false impression that the link status or TCP speed have changed significantly in the last few minutes. If anybody can point me at a way to fix this problem, I'd be grateful.
Click on the graphs for a 1600x1200 version.
This section monitors the NBN link for outages, including planned outages. I have manually edited the data to remove false positives, such as when moving house. I have a program that evaluates the outage information and produces detailed outage information. Here's the information on the past 20 outages, along with the overall statistics:
Start time End time Duration Badness from to
(seconds)
1567122936 1567132941 10005 0.024 # 30 August 2019 09:55:36 30 August 2019 12:42:21
1567142133 1567142312 179 0.392 # 30 August 2019 15:15:33 30 August 2019 15:18:32
1567147330 1567151134 3804 0.717 # 30 August 2019 16:42:10 30 August 2019 17:45:34
1567206889 1567207585 696 0.065 # 31 August 2019 09:14:49 31 August 2019 09:26:25
1567635847 1567636322 475 0.008 # 5 September 2019 08:24:07 5 September 2019 08:32:02
1567724418 1567728707 4289 0.041 # 6 September 2019 09:00:18 6 September 2019 10:11:47
1568686359 1568686374 15 0.004 # 17 September 2019 12:12:39 17 September 2019 12:12:54
1568687257 1568688388 1131 4.077 # 17 September 2019 12:27:37 17 September 2019 12:46:28
1568688877 1568692055 3178 7.362 # 17 September 2019 12:54:37 17 September 2019 13:47:35
1568692480 1568694933 2453 8.471 # 17 September 2019 13:54:40 17 September 2019 14:35:33
1568698770 1568698826 56 0.938 # 17 September 2019 15:39:30 17 September 2019 15:40:26
1568699617 1568699842 225 4.551 # 17 September 2019 15:53:37 17 September 2019 15:57:22
1569445750 1569472304 26554 0.005 # 26 September 2019 07:09:10 26 September 2019 14:31:44
1569610631 1569610712 81 0.026 # 28 September 2019 04:57:11 28 September 2019 04:58:32
1571261914 1571290166 28252 0.002 # 17 October 2019 08:38:34 17 October 2019 16:29:26
1571634521 1571639777 5256 0.010 # 21 October 2019 16:08:41 21 October 2019 17:36:17
Summary
Total 411 outages, total time 947418 seconds (10 days, 23:10:18)
Longest outage: 192150 seconds (2 days, 05:22:30)
Start: 21 February 2015 04:36:54
End: 23 February 2015 09:59:24
Average time between outages: 436840 seconds (5 days, 01:20:40)
Average duration: 2305 seconds (00:38:25)
Availability: 99.47%
“Badness” is an attempt to quantify the effect. It's the reciprocal of the number of seconds per hour that the link was up between failures (i.e. 3600 / uptime).
And here is the summary information for the past 10 days with a less than 100% record:
Timestamp Outages Duration Availability Date
(seconds)
1566914400 1 590 99.32% # 28 August 2019
1567087200 3 13988 83.81% # 30 August 2019
1567173600 1 696 99.19% # 31 August 2019
1567605600 1 475 99.45% # 5 September 2019
1567692000 1 4289 95.04% # 6 September 2019
1568642400 6 7058 91.83% # 17 September 2019
1569420000 1 26554 69.27% # 26 September 2019
1569592800 1 81 99.91% # 28 September 2019
1571230800 1 28252 67.30% # 17 October 2019
1571576400 1 5256 93.92% # 21 October 2019
The dates in the left columns are in UNIX time_t format to ease further processing. I also have lists of all individual outages, or summaries per day.
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