Intel Cluster Checker defines a performance outlier as one outside the range of 
the median +/- X median absolute deviations.  X is configurable and the default 
value is 6.

Thanks,
Scott

https://en.wikipedia.org/wiki/Median_absolute_deviation

On 3/25/16, 1:39 PM, "Beowulf on behalf of Jeffrey Layton" 
<beowulf-boun...@beowulf.org<mailto:beowulf-boun...@beowulf.org> on behalf of 
layto...@gmail.com<mailto:layto...@gmail.com>> wrote:

Olli-Pekka, et al,

I took a look at your updated website - it looks very good. One thing I wanted 
to ask, and this question is probably one for the entire list, when you run a 
test across all of the nodes in the cluster, what process do you use to 
determine if nodes are "outliers" and need attention?

For example, one test you mention is to run stream and look at the TRIAD 
results for all of the nodes. If you run it across an entire cluster you end up 
with a collection of results. What do you do with those results? Do you look 
for nodes that are a certain percentage outside of the mean? Or do you look for 
nodes that are outside one standard deviation from the mean?

Thanks!

Jeff

P.S. I have my own ideas but I'm really curious what other people do.
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