| 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)
1594833568 1594833638 70 0.037 # 16 July 2020 03:19:28 16 July 2020 03:20:38
1596474098 1596475481 1383 0.002 # 4 August 2020 03:01:38 4 August 2020 03:24:41
1602175169 1602175250 81 0.001 # 9 October 2020 03:39:29 9 October 2020 03:40:50
1605191195 1605191319 124 0.001 # 13 November 2020 01:26:35 13 November 2020 01:28:39
1605196381 1605196463 82 0.711 # 13 November 2020 02:53:01 13 November 2020 02:54:23
1605798510 1605798735 225 0.006 # 20 November 2020 02:08:30 20 November 2020 02:12:15
1606140598 1606140735 137 0.011 # 24 November 2020 01:09:58 24 November 2020 01:12:15
1606162445 1606162502 57 0.166 # 24 November 2020 07:14:05 24 November 2020 07:15:02
1606162917 1606162967 50 8.675 # 24 November 2020 07:21:57 24 November 2020 07:22:47
1607095474 1607095530 56 0.004 # 5 December 2020 02:24:34 5 December 2020 02:25:30
1611085729 1611089100 3371 0.001 # 20 January 2021 06:48:49 20 January 2021 07:45:00
1612887351 1612909161 21810 0.002 # 10 February 2021 03:15:51 10 February 2021 09:19:21
1612916205 1612916710 505 0.511 # 10 February 2021 11:16:45 10 February 2021 11:25:10
1613061154 1613061177 23 0.025 # 12 February 2021 03:32:34 12 February 2021 03:32:57
1613415334 1613415390 56 0.010 # 16 February 2021 05:55:34 16 February 2021 05:56:30
1613653812 1613655372 1560 0.015 # 19 February 2021 00:10:12 19 February 2021 00:36:12
Summary
Total 460 outages, total time 1077232 seconds (12 days, 11:13:52)
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: 484570 seconds (5 days, 14:36:10)
Average duration: 2341 seconds (00:39:01)
Availability: 99.52%
“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)
1602162000 1 81 99.91% # 9 October 2020
1605186000 2 206 99.76% # 13 November 2020
1605790800 1 225 99.74% # 20 November 2020
1606136400 3 244 99.72% # 24 November 2020
1607086800 1 56 99.94% # 5 December 2020
1611061200 1 3371 96.10% # 20 January 2021
1612875600 2 22315 74.17% # 10 February 2021
1613048400 1 23 99.97% # 12 February 2021
1613394000 1 56 99.94% # 16 February 2021
1613653200 1 1560 98.19% # 19 February 2021
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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