Re: Soak tests

"Dr Steven A. Wright" <[email protected]>
Newsgroups gmane.ietf.bmwg
Message-ID <[email protected]>
I agree with your comment, but was also trying to be sensitive to Pierre's concern as to where to draw the line between a performance benchmarking metric  and a diagnostic procedure. 

My intuition was too recast the soak test around a performance benchmark for the duration of "stable operation under load". Duration is a nice linear time scale for a performance metric. At some point the user has to decide how long of a duration is satisfactory for their application, but that is a separate argument that _may_ be sensitive to the application. the definition of "stable operation under load"  seems quite likely to be application specific....


> On Jul 20, 2016, at 8:01 PM, MORTON, ALFRED C (AL) <[email protected]> wrote:
> 
> Thanks for your comment, Steve.
> 
> There is some value in continuing to test after an error,
> to see if the system recovers to the pre-error throughput
> for example, but I agree that there are likely to be events
> after which it would make sense to observe recovery if it happens
> and stop.
> 
> Al
> 
>> -----Original Message-----
>> From: bmwg [mailto:[email protected]] On Behalf Of Dr Steven A.
>> Wright
>> Sent: Wednesday, July 20, 2016 5:56 AM
>> To: [email protected]
>> Subject: [bmwg] Soak tests
>> 
>> 
>> We had some discussion around soak tests, as to what the appropriate
>> duration should be and whether ( or what) the performance metric was
>> under measurement.
>> 
>> I would suggest that these tests should be measured as the duration of
>> stable operation under load. The measurement period starts when  full
>> load is achieved on the system under test and terminated when (1)
>> received load (throughput) variation exceeds some threshold (5%?) or (2)
>> some system exception/ failure occurs. The test may be terminated after
>> some user defined period. The user defined period for the test is
>> usually greater than 24 hrs to catch intermittent/ probabilistic system
>> scheduling conflicts that interfere with stable operation.
>> 
>> Regards
>> Steven Wright
>> 
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