| 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)
1577077136 1577077217 81 0.014 # 23 December 2019 15:58:56 23 December 2019 16:00:17
1578754381 1578754394 13 0.002 # 12 January 2020 01:53:01 12 January 2020 01:53:14
1578922890 1578923596 706 0.021 # 14 January 2020 00:41:30 14 January 2020 00:53:16
1579738170 1579744829 6659 0.004 # 23 January 2020 11:09:30 23 January 2020 13:00:29
1581289482 1581295105 5623 0.002 # 10 February 2020 10:04:42 10 February 2020 11:38:25
1581296046 1581296137 91 3.826 # 10 February 2020 11:54:06 10 February 2020 11:55:37
1581296324 1581296370 46 19.251 # 10 February 2020 11:58:44 10 February 2020 11:59:30
1581308099 1581308169 70 0.307 # 10 February 2020 15:14:59 10 February 2020 15:16:09
1581373860 1581376462 2602 0.055 # 11 February 2020 09:31:00 11 February 2020 10:14:22
1581377852 1581396391 18539 2.590 # 11 February 2020 10:37:32 11 February 2020 15:46:31
1581460752 1581483562 22810 0.056 # 12 February 2020 09:39:12 12 February 2020 15:59:22
1581485620 1581487885 2265 1.749 # 12 February 2020 16:33:40 12 February 2020 17:11:25
1581571169 1581573935 2766 0.043 # 13 February 2020 16:19:29 13 February 2020 17:05:35
1583378421 1583378915 494 0.002 # 5 March 2020 14:20:21 5 March 2020 14:28:35
1583379343 1583380577 1234 8.411 # 5 March 2020 14:35:43 5 March 2020 14:56:17
1583380701 1583380725 24 29.032 # 5 March 2020 14:58:21 5 March 2020 14:58:45
Summary
Total 438 outages, total time 1040298 seconds (12 days, 00:58:18)
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: 443227 seconds (5 days, 03:07:07)
Average duration: 2375 seconds (00:39:35)
Availability: 99.46%
“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)
1576760400 1 384 99.56% # 20 December 2019
1577019600 1 81 99.91% # 23 December 2019
1578747600 1 13 99.98% # 12 January 2020
1578920400 1 706 99.18% # 14 January 2020
1579698000 1 6659 92.29% # 23 January 2020
1581253200 4 5830 93.25% # 10 February 2020
1581339600 2 21141 75.53% # 11 February 2020
1581426000 2 25075 70.98% # 12 February 2020
1581512400 1 2766 96.80% # 13 February 2020
1583326800 3 1752 97.97% # 5 March 2020
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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