argus and 95th percentile

Thu Apr 2 06:41:35 EDT 2009

Carter, 

Finally getting time to have a closer look over these great detailed instructions. 
I have a feeling from what you are saying here and in other emails I REALLY should be enabling ARGUS_GENERATE_MAC_DATA on all my collectors as smac etc looks to be required in several occurrences when using rmon. 
I'm guessing because I don't have the mac addr my stats are looking pretty much the same for inbound and outbound load. 

$ rasort -r /tmp/data.out -m load -s stime dur saddr srcid smac sload:16 dload:16 
StartTime Dur SrcAddr SrcId SrcMac SrcLoad DstLoad 
15:05:00.000000 300.000000 0.0.0.0 127.0.0.1 84344472.000000 84344480.000000 
15:50:00.000000 300.000000 0.0.0.0 127.0.0.1 83736384.000000 83736384.000000 
14:10:00.000000 300.000000 0.0.0.0 127.0.0.1 82034344.000000 82034344.000000 
14:55:00.000000 300.000000 0.0.0.0 127.0.0.1 75430448.000000 75430440.000000 
15:55:00.000000 300.000000 0.0.0.0 127.0.0.1 73696456.000000 73696456.000000 

I'm rather new to the study of flow statistics, do you have any suggestions on further readings. 

You mentioned in an earlier email: 

So, do you want to do it for the whole link? The totals seen for a specific 
ethernet address every 5 minutes would be the best way to calculate the metrics. 
Here is a run with a little data I just grabbed. 
In this instance I'm after outbound data for the entire link, I'm simply running argus locally on our perimeter firewall and collecting statistics on our external interface. 

----- "Carter Bullard" <carter at qosient.com> wrote: 
> Hey Rodney, 
I found a bug in the code for rabins() when testing out this new version 
of the clients that affects the examples that I sent earlier. Please grab 
the latest code before trying out these new features!!!! 

> 
ftp://qosient.com/dev/argus-3.0/argus-clients-3.0.2.beta.4.tar.gz 

> 

I added 95th percentile reporting to rahisto(), which is our frequency distribution 
tool. This tool calculates mean, stddev, max, min, and the median (50th 
percentile), and so it was very easy to add 95th percentile to the report. 

> 
You feed rahisto() the output of your 5 minute rabins() aggregations, 
and it will give you a little stats report of the specific variable, and 
a frequency distribution of where the data falls. If you don't know what 
the range is, run it with just a small number of bins, and rahisto() will start 
to show you where the data lies in its range. 

> 
Using the examples I used before: 

> 
rabins -M rmon hard time 5m -m smac -r hourly.file -w /tmp/data.out 

> 
Now, run rahisto() instead of rasort(), this way to generate your OutBound data 
for the specific ether address ('sload') : 

> 
rahisto -r /tmp/data.out -H sload 10 - ether src host 0:a0:c5:e1:7a:fa 

N = 31 mean = 80407.974516 stddev = 67795.873860 max = 174059.203125 min = 172.133331 
median = 82742.617188 95% = 173895.046875 
Class Interval Freq Rel.Freq Cum.Freq 
1 0.000000e+00-1.740600e+04 12 38.7097% 38.7097% 
2 1.740600e+04-3.481200e+04 0 0.0000% 38.7097% 
3 3.481200e+04-5.221800e+04 3 9.6774% 48.3871% 
4 5.221800e+04-6.962400e+04 1 3.2258% 51.6129% 
5 6.962400e+04-8.703000e+04 1 3.2258% 54.8387% 
6 8.703000e+04-1.044360e+05 0 0.0000% 54.8387% 
7 1.044360e+05-1.218420e+05 1 3.2258% 58.0645% 
8 1.218420e+05-1.392480e+05 3 9.6774% 67.7419% 
9 1.392480e+05-1.566540e+05 4 12.9032% 80.6452% 
10 1.566540e+05-1.740600e+05 6 19.3548% 100.0000% 

> 

And, run rahisto() this way to generate your InBound data for the specific ether address ('dload') : 

> 
rahisto -r /tmp/data.out -H dload 10 - ether src host 0:a0:c5:e1:7a:fa 

N = 31 mean = 2520065.831098 stddev = 2286667.779977 max = 5742157.000000 min = 335.946655 
median = 2935971.500000 95% = 5711441.500000 
Class Interval Freq Rel.Freq Cum.Freq 
1 0.000000e+00-5.742160e+05 13 41.9355% 41.9355% 
2 5.742160e+05-1.148432e+06 1 3.2258% 45.1613% 
3 1.148432e+06-1.722648e+06 1 3.2258% 48.3871% 
4 1.722648e+06-2.296864e+06 1 3.2258% 51.6129% 
5 2.296864e+06-2.871080e+06 0 0.0000% 51.6129% 
6 2.871080e+06-3.445296e+06 2 6.4516% 58.0645% 
7 3.445296e+06-4.019512e+06 1 3.2258% 61.2903% 
8 4.019512e+06-4.593728e+06 3 9.6774% 70.9677% 
9 4.593728e+06-5.167944e+06 3 9.6774% 80.6452% 
10 5.167944e+06-5.742160e+06 6 19.3548% 100.0000% 

> 

> 
The numbers are slightly different from the last time, because of the bug in rabins(). 

> 
So you see, the data I'm using is multi-modally distributed, and while very low in samples, 
it does suggest an SLA for two tiers, one above 1M bps and one below 1M bps. 
You can calculate a 95th percentile for the two regions, by adjusting the range on the 
histogram option field like this (just do dload for this example): 

> 
Traffic Below 1M bps 

rahisto -r /tmp/rabins.5m.out -H dload 10:0-1M - ip and ether src host 0:a0:c5:e1:7a:fa 
N = 14 mean = 220514.849217 stddev = 168862.596105 max = 612549.625000 min = 335.946655 
median = 157696.734375 95% = 612549.625000 
Class Interval Freq Rel.Freq Cum.Freq 
1 0.000000e+00-1.000000e+05 2 14.2857% 14.2857% 
2 1.000000e+05-2.000000e+05 7 50.0000% 64.2857% 
3 2.000000e+05-3.000000e+05 1 7.1429% 71.4286% 
4 3.000000e+05-4.000000e+05 2 14.2857% 85.7143% 
5 4.000000e+05-5.000000e+05 1 7.1429% 92.8571% 
6 5.000000e+05-6.000000e+05 0 0.0000% 92.8571% 
7 6.000000e+05-7.000000e+05 1 7.1429% 100.0000% 
8 7.000000e+05-8.000000e+05 0 0.0000% 100.0000% 
9 8.000000e+05-9.000000e+05 0 0.0000% 100.0000% 
10 9.000000e+05-1.000000e+06 0 0.0000% 100.0000% 

> 

Traffic Above 1M bps 

rahisto -r /tmp/rabins.5m.out -H dload 10:1-6M - ip and ether src host 0:a0:c5:e1:7a:fa 
N = 17 mean = 4413813.698529 stddev = 1253167.017151 max = 5742157.000000 min = 1717778.125000 
median = 4992350.500000 95% = 5742157.000000 
Class Interval Freq Rel.Freq Cum.Freq 
1 1.000000e+06-1.500000e+06 0 0.0000% 0.0000% 
2 1.500000e+06-2.000000e+06 2 11.7647% 11.7647% 
3 2.000000e+06-2.500000e+06 0 0.0000% 11.7647% 
4 2.500000e+06-3.000000e+06 1 5.8824% 17.6471% 
5 3.000000e+06-3.500000e+06 1 5.8824% 23.5294% 
6 3.500000e+06-4.000000e+06 1 5.8824% 29.4118% 
7 4.000000e+06-4.500000e+06 1 5.8824% 35.2941% 
8 4.500000e+06-5.000000e+06 4 23.5294% 58.8235% 
9 5.000000e+06-5.500000e+06 3 17.6471% 76.4706% 
10 5.500000e+06-6.000000e+06 4 23.5294% 100.0000% 

> 
Hope this is helpful, 

> 
Carter 

> 

On Mar 23, 2009, at 3:16 PM, Rodney McKee wrote: 

> Carter, 
> 
> The value I'm after is based on 5 minute samples of user uploads (inbound traffic) that are sorted highest to lowest then the value at the 95th percent point is then used for our volume calculation. Is their a way to pull the 5 minutes samples like "ragraph -M 5m" using the text "ra" tools? 
> I just see the rrdgraph is able to do it but not sure yet how to use it. 
> 
> More info on the billing scheme here: 
> http://en.wikipedia.org/wiki/Burstable_billing 
> 
> 

-- 

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