| 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)
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
1572696085 1572696131 46 0.003 # 2 November 2019 23:01:25 2 November 2019 23:02:11
1573574585 1573575721 1136 0.004 # 13 November 2019 03:03:05 13 November 2019 03:22:01
1573595181 1573618452 23271 0.185 # 13 November 2019 08:46:21 13 November 2019 15:14:12
1574185715 1574185772 57 0.006 # 20 November 2019 04:48:35 20 November 2019 04:49:32
1574236983 1574236986 3 0.070 # 20 November 2019 19:03:03 20 November 2019 19:03:06
1575232278 1575232282 4 0.004 # 2 December 2019 07:31:18 2 December 2019 07:31:22
1575585911 1575587699 1788 0.010 # 6 December 2019 09:45:11 6 December 2019 10:14:59
1576009334 1576009358 24 0.009 # 11 December 2019 07:22:14 11 December 2019 07:22:38
1576288648 1576290736 2088 0.013 # 14 December 2019 12:57:28 14 December 2019 13:32:16
Summary
Total 420 outages, total time 975835 seconds (11 days, 07:03:55)
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: 438361 seconds (5 days, 01:46:01)
Average duration: 2323 seconds (00:38:43)
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)
1569592800 1 81 99.91% # 28 September 2019
1571230800 1 28252 67.30% # 17 October 2019
1571576400 1 5256 93.92% # 21 October 2019
1572613200 1 46 99.95% # 2 November 2019
1573563600 2 24407 71.75% # 13 November 2019
1574168400 2 60 99.93% # 20 November 2019
1575205200 1 4 100.00% # 2 December 2019
1575550800 1 1788 97.93% # 6 December 2019
1575982800 1 24 99.97% # 11 December 2019
1576242000 1 2088 97.58% # 14 December 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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